diff --git a/lib/node_modules/@stdlib/lapack/base/dlagtf/README.md b/lib/node_modules/@stdlib/lapack/base/dlagtf/README.md
new file mode 100644
index 000000000000..dcd6f48c4133
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlagtf/README.md
@@ -0,0 +1,311 @@
+
+
+# dlagtf
+
+> Compute an `LU` factorization of a matrix `T - lambda*I`, where `T` is a general real tridiagonal matrix and `lambda` is a scalar, using partial pivoting with row interchanges.
+
+
+
+The `dlagtf` routine factorizes the matrix `T - lambda*I`, where `T` is an N-by-N real tridiagonal matrix and `lambda` is a scalar, as:
+
+```math
+T - \lambda I = P L U
+```
+
+where `P` is a permutation matrix, `L` is a unit lower tridiagonal matrix with at most one non-zero sub-diagonal element per column, and `U` is an upper triangular matrix with at most two non-zero super-diagonal elements per column.
+
+The factorization is obtained by Gaussian elimination with partial pivoting and implicit row scaling.
+
+
+
+
+
+
+
+## Usage
+
+```javascript
+var dlagtf = require( '@stdlib/lapack/base/dlagtf' );
+```
+
+#### dlagtf( N, A, lambda, B, C, tol, D, IN )
+
+Computes an `LU` factorization of a matrix `T - lambda*I`, where `T` is a general real tridiagonal matrix and `lambda` is a scalar, using partial pivoting with row interchanges.
+
+```javascript
+var Float64Array = require( '@stdlib/array/float64' );
+var Int32Array = require( '@stdlib/array/int32' );
+var dlagtf = require( '@stdlib/lapack/base/dlagtf' );
+
+var A = new Float64Array( [ 2.0, 3.0, 1.0 ] );
+var B = new Float64Array( [ 1.0, 1.0 ] );
+var C = new Float64Array( [ 1.0, 1.0 ] );
+var D = new Float64Array( [ 0.0 ] );
+var IN = new Int32Array( [ 0, 0, 0 ] );
+
+dlagtf( 3, A, 0.0, B, C, 0.0, D, IN );
+// A => [ 2.0, 2.5, 0.6 ]
+// B => [ 1.0, 1.0 ]
+// C => [ 0.5, 0.4 ]
+// D => [ 0.0 ]
+// IN => [ 0, 0, 0 ]
+```
+
+The function has the following parameters:
+
+- **N**: order of the matrix `T`.
+- **A**: diagonal elements of `T` as a [`Float64Array`][mdn-float64array]. Should have `N` indexed elements. Overwritten by the diagonal elements of `U`.
+- **lambda**: scalar constant.
+- **B**: first super-diagonal elements of `T` as a [`Float64Array`][mdn-float64array]. Should have `N-1` indexed elements. Overwritten by the first super-diagonal elements of `U`.
+- **C**: first sub-diagonal elements of `T` as a [`Float64Array`][mdn-float64array]. Should have `N-1` indexed elements. Overwritten by the multipliers that define `L`.
+- **tol**: relative tolerance constant used to indicate whether `T - lambda*I` is nearly singular.
+- **D**: second super-diagonal elements of `U` as a [`Float64Array`][mdn-float64array]. Should have `N-2` indexed elements. Overwritten by the second super-diagonal elements of `U`.
+- **IN**: pivot indicators and singularity details as an [`Int32Array`][mdn-int32array]. Should have `N` indexed elements.
+
+Note that indexing is relative to the first index. To introduce an offset, use [`typed array`][mdn-typed-array] views.
+
+
+
+```javascript
+var Float64Array = require( '@stdlib/array/float64' );
+var Int32Array = require( '@stdlib/array/int32' );
+var dlagtf = require( '@stdlib/lapack/base/dlagtf' );
+
+// Initial arrays...
+var A0 = new Float64Array( [ 0.0, 2.0, 3.0, 1.0 ] );
+var B0 = new Float64Array( [ 0.0, 1.0, 1.0 ] );
+var C0 = new Float64Array( [ 0.0, 1.0, 1.0 ] );
+var D0 = new Float64Array( [ 0.0, 0.0 ] );
+var IN0 = new Int32Array( [ 0, 0, 0, 0 ] );
+
+// Create offset views...
+var A = new Float64Array( A0.buffer, A0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
+var B = new Float64Array( B0.buffer, B0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
+var C = new Float64Array( C0.buffer, C0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
+var D = new Float64Array( D0.buffer, D0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
+var IN = new Int32Array( IN0.buffer, IN0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
+
+dlagtf( 3, A, 0.0, B, C, 0.0, D, IN );
+// A0 => [ 0.0, 2.0, 2.5, 0.6 ]
+// C0 => [ 0.0, 0.5, 0.4 ]
+```
+
+
+
+#### dlagtf.ndarray( N, A, strideA, offsetA, lambda, B, strideB, offsetB, C, strideC, offsetC, tol, D, strideD, offsetD, IN, strideIN, offsetIN )
+
+Computes an `LU` factorization of a matrix `T - lambda*I`, where `T` is a general real tridiagonal matrix and `lambda` is a scalar, using partial pivoting with row interchanges and alternative indexing semantics.
+
+```javascript
+var Float64Array = require( '@stdlib/array/float64' );
+var Int32Array = require( '@stdlib/array/int32' );
+var dlagtf = require( '@stdlib/lapack/base/dlagtf' );
+
+var A = new Float64Array( [ 2.0, 3.0, 1.0 ] );
+var B = new Float64Array( [ 1.0, 1.0 ] );
+var C = new Float64Array( [ 1.0, 1.0 ] );
+var D = new Float64Array( [ 0.0 ] );
+var IN = new Int32Array( [ 0, 0, 0 ] );
+
+dlagtf.ndarray( 3, A, 1, 0, 0.0, B, 1, 0, C, 1, 0, 0.0, D, 1, 0, IN, 1, 0 );
+// A => [ 2.0, 2.5, 0.6 ]
+// B => [ 1.0, 1.0 ]
+// C => [ 0.5, 0.4 ]
+// D => [ 0.0 ]
+// IN => [ 0, 0, 0 ]
+```
+
+The function has the following additional parameters:
+
+- **strideA**: stride length for `A`.
+- **offsetA**: starting index for `A`.
+- **strideB**: stride length for `B`.
+- **offsetB**: starting index for `B`.
+- **strideC**: stride length for `C`.
+- **offsetC**: starting index for `C`.
+- **strideD**: stride length for `D`.
+- **offsetD**: starting index for `D`.
+- **strideIN**: stride length for `IN`.
+- **offsetIN**: starting index for `IN`.
+
+While [`typed array`][mdn-typed-array] views mandate a view offset based on the underlying buffer, the offset parameters support indexing semantics based on starting indices. For example,
+
+
+
+```javascript
+var Float64Array = require( '@stdlib/array/float64' );
+var Int32Array = require( '@stdlib/array/int32' );
+var dlagtf = require( '@stdlib/lapack/base/dlagtf' );
+
+var A = new Float64Array( [ 0.0, 2.0, 3.0, 1.0 ] );
+var B = new Float64Array( [ 0.0, 1.0, 1.0 ] );
+var C = new Float64Array( [ 0.0, 1.0, 1.0 ] );
+var D = new Float64Array( [ 0.0, 0.0 ] );
+var IN = new Int32Array( [ 0, 0, 0, 0 ] );
+
+dlagtf.ndarray( 3, A, 1, 1, 0.0, B, 1, 1, C, 1, 1, 0.0, D, 1, 1, IN, 1, 1 );
+// A => [ 0.0, 2.0, 2.5, 0.6 ]
+// C => [ 0.0, 0.5, 0.4 ]
+```
+
+
+
+
+
+
+
+## Notes
+
+- Both functions mutate the input arrays `A`, `B`, `C`, `D`, and `IN`.
+- `dlagtf()` corresponds to the [LAPACK][lapack] routine [`dlagtf`][lapack-dlagtf].
+
+
+
+
+
+
+
+## Examples
+
+
+
+```javascript
+var Int32Array = require( '@stdlib/array/int32' );
+var Float64Array = require( '@stdlib/array/float64' );
+var dlagtf = require( '@stdlib/lapack/base/dlagtf' );
+
+var N = 5;
+
+var A = new Float64Array( [ 2.0, 3.0, 1.0, 2.0, 1.0 ] );
+var B = new Float64Array( [ 1.0, 1.0, 1.0, 1.0 ] );
+var C = new Float64Array( [ 1.0, 1.0, 1.0, 1.0 ] );
+var D = new Float64Array( N-2 );
+var IN = new Int32Array( N );
+
+var info = dlagtf( N, A, 0.0, B, C, 0.0, D, IN );
+
+console.log( A );
+console.log( B );
+console.log( C );
+console.log( D );
+console.log( IN );
+console.log( info );
+```
+
+
+
+
+
+
+
+* * *
+
+
+
+## C APIs
+
+
+
+
+
+
+
+
+
+
+
+### Usage
+
+```c
+TODO
+```
+
+#### TODO
+
+TODO.
+
+```c
+TODO
+```
+
+TODO
+
+```c
+TODO
+```
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+### Examples
+
+```c
+TODO
+```
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+[lapack]: https://www.netlib.org/lapack/explore-html/
+
+[lapack-dlagtf]: https://netlib.org/lapack/explore-html/d1/d90/group__lagtf_ga10cc4eb3c789fad38b52a86698d5a24a.html#ga10cc4eb3c789fad38b52a86698d5a24a
+
+[mdn-float64array]: https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/Float64Array
+
+[mdn-int32array]: https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/Int32Array
+
+[mdn-typed-array]: https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/TypedArray
+
+
+
+
diff --git a/lib/node_modules/@stdlib/lapack/base/dlagtf/benchmark/benchmark.js b/lib/node_modules/@stdlib/lapack/base/dlagtf/benchmark/benchmark.js
new file mode 100644
index 000000000000..73adce697141
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlagtf/benchmark/benchmark.js
@@ -0,0 +1,108 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var bench = require( '@stdlib/bench' );
+var uniform = require( '@stdlib/random/array/uniform' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var Int32Array = require( '@stdlib/array/int32' );
+var Float64Array = require( '@stdlib/array/float64' );
+var format = require( '@stdlib/string/format' );
+var pkg = require( './../package.json' ).name;
+var dlagtf = require( './../lib/dlagtf.js' );
+
+
+// VARIABLES //
+
+var options = {
+ 'dtype': 'float64'
+};
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - array length
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len ) {
+ var IN = new Int32Array( len );
+ var D = new Float64Array( len-2 );
+ var C = uniform( len-1, 0.0, 100.0, options );
+ var B = uniform( len-1, 0.0, 100.0, options );
+ var A = uniform( len, 0.0, 100.0, options );
+ return benchmark;
+
+ /**
+ * Benchmark function.
+ *
+ * @private
+ * @param {Benchmark} b - benchmark instance
+ */
+ function benchmark( b ) {
+ var d;
+ var i;
+
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ d = dlagtf( len, A, 0.0, B, C, 0.0, D, IN );
+ if ( d < 0 ) {
+ b.fail( 'should return a success status code' );
+ }
+ }
+ b.toc();
+ if ( d < 0 ) {
+ b.fail( 'should return a success status code' );
+ }
+ b.pass( 'benchmark finished' );
+ b.end();
+ }
+}
+
+
+// MAIN //
+
+/**
+* Main execution sequence.
+*
+* @private
+*/
+function main() {
+ var len;
+ var min;
+ var max;
+ var f;
+ var i;
+
+ min = 1; // 10^min
+ max = 6; // 10^max
+
+ for ( i = min; i <= max; i++ ) {
+ len = pow( 10, i );
+ f = createBenchmark( len );
+ bench( format( '%s:len=%d', pkg, len ), f );
+ }
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/lapack/base/dlagtf/benchmark/benchmark.ndarray.js b/lib/node_modules/@stdlib/lapack/base/dlagtf/benchmark/benchmark.ndarray.js
new file mode 100644
index 000000000000..bf88f1e76eab
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlagtf/benchmark/benchmark.ndarray.js
@@ -0,0 +1,108 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var bench = require( '@stdlib/bench' );
+var uniform = require( '@stdlib/random/array/uniform' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var Int32Array = require( '@stdlib/array/int32' );
+var Float64Array = require( '@stdlib/array/float64' );
+var format = require( '@stdlib/string/format' );
+var pkg = require( './../package.json' ).name;
+var dlagtf = require( './../lib/ndarray.js' );
+
+
+// VARIABLES //
+
+var options = {
+ 'dtype': 'float64'
+};
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - array length
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len ) {
+ var IN = new Int32Array( len );
+ var D = new Float64Array( len-2 );
+ var C = uniform( len-1, 0.0, 100.0, options );
+ var B = uniform( len-1, 0.0, 100.0, options );
+ var A = uniform( len, 0.0, 100.0, options );
+ return benchmark;
+
+ /**
+ * Benchmark function.
+ *
+ * @private
+ * @param {Benchmark} b - benchmark instance
+ */
+ function benchmark( b ) {
+ var d;
+ var i;
+
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ d = dlagtf( len, A, 1, 0, 0.0, B, 1, 0, C, 1, 0, 0.0, D, 1, 0, IN, 1, 0 ); // eslint-disable-line max-len
+ if ( d < 0 ) {
+ b.fail( 'should return a success status code' );
+ }
+ }
+ b.toc();
+ if ( d < 0 ) {
+ b.fail( 'should return a success status code' );
+ }
+ b.pass( 'benchmark finished' );
+ b.end();
+ }
+}
+
+
+// MAIN //
+
+/**
+* Main execution sequence.
+*
+* @private
+*/
+function main() {
+ var len;
+ var min;
+ var max;
+ var f;
+ var i;
+
+ min = 1; // 10^min
+ max = 6; // 10^max
+
+ for ( i = min; i <= max; i++ ) {
+ len = pow( 10, i );
+ f = createBenchmark( len );
+ bench( format( '%s:ndarray:len=%d', pkg, len ), f );
+ }
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/lapack/base/dlagtf/docs/repl.txt b/lib/node_modules/@stdlib/lapack/base/dlagtf/docs/repl.txt
new file mode 100644
index 000000000000..23b28c547808
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlagtf/docs/repl.txt
@@ -0,0 +1,177 @@
+
+{{alias}}( N, A, lambda, B, C, tol, D, IN )
+ Computes an LU factorization of a matrix `T - lambda*I`, where `T` is a
+ general real tridiagonal matrix and `lambda` is a scalar, using partial
+ pivoting with row interchanges.
+
+ Indexing is relative to the first index. To introduce an offset, use typed
+ array views.
+
+ The function mutates `A`, `B`, `C`, `D`, and `IN`.
+
+ Parameters
+ ----------
+ N: integer
+ Order of the matrix `T`.
+
+ A: Float64Array
+ Diagonal elements of `T`. Should have `N` indexed elements. `A` is
+ overwritten by the diagonal elements of `U`.
+
+ lambda: number
+ Scalar shift parameter.
+
+ B: Float64Array
+ First super-diagonal elements of `T`. Should have `N-1` indexed
+ elements. `B` is overwritten by the first super-diagonal elements of
+ `U`.
+
+ C: Float64Array
+ First sub-diagonal elements of `T`. Should have `N-1` indexed elements.
+ `C` is overwritten by the multipliers that define `L`.
+
+ tol: number
+ Relative tolerance constant used to indicate whether `T - lambda*I` is
+ nearly singular.
+
+ D: Float64Array
+ Second super-diagonal elements of `U`. Should have `N-2` indexed
+ elements. `D` is overwritten by the second super-diagonal elements of
+ `U`.
+
+ IN: Int32Array
+ Pivot indicators and singularity details. Should have `N` indexed
+ elements.
+
+ Returns
+ -------
+ info: integer
+ Status code.
+
+ Examples
+ --------
+ > var Float64Array = {{alias:@stdlib/array/float64}};
+ > var Int32Array = {{alias:@stdlib/array/int32}};
+ > var A = new Float64Array( [ 2.0, 3.0, 1.0 ] );
+ > var B = new Float64Array( [ 1.0, 1.0 ] );
+ > var C = new Float64Array( [ 1.0, 1.0 ] );
+ > var D = new Float64Array( 1 );
+ > var IN = new Int32Array( 3 );
+ > {{alias}}( 3, A, 0.0, B, C, 0.0, D, IN )
+ 0
+ > A
+ [ 2.0, 2.5, 0.6 ]
+ > B
+ [ 1.0, 1.0 ]
+ > C
+ [ 0.5, 0.4 ]
+ > D
+ [ 0.0 ]
+ > IN
+ [ 0, 0, 0 ]
+
+
+{{alias}}.ndarray(N, A,sa,oa, lambda, B,sb,ob, C,sc,oc, tol, D,sd,od, IN,si,oi)
+ Computes an LU factorization of a matrix `T - lambda*I`, where `T` is a
+ general real tridiagonal matrix and `lambda` is a scalar, using partial
+ pivoting with row interchanges and alternative indexing semantics.
+
+ While typed array views mandate a view offset based on the underlying
+ buffer, the offset parameters support indexing semantics based on starting
+ indices.
+
+ The function mutates `A`, `B`, `C`, `D`, and `IN`.
+
+ Parameters
+ ----------
+ N: integer
+ Order of the matrix `T`.
+
+ A: Float64Array
+ Diagonal elements of `T`. Should have `N` indexed elements. `A` is
+ overwritten by the diagonal elements of `U`.
+
+ sa: integer
+ Stride length for `A`.
+
+ oa: integer
+ Starting index for `A`.
+
+ lambda: number
+ Scalar shift parameter.
+
+ B: Float64Array
+ First super-diagonal elements of `T`. Should have `N-1` indexed
+ elements. `B` is overwritten by the first super-diagonal elements of
+ `U`.
+
+ sb: integer
+ Stride length for `B`.
+
+ ob: integer
+ Starting index for `B`.
+
+ C: Float64Array
+ First sub-diagonal elements of `T`. Should have `N-1` indexed elements.
+ `C` is overwritten by the multipliers that define `L`.
+
+ sc: integer
+ Stride length for `C`.
+
+ oc: integer
+ Starting index for `C`.
+
+ tol: number
+ Relative tolerance constant used to indicate whether `T - lambda*I` is
+ nearly singular.
+
+ D: Float64Array
+ Second super-diagonal elements of `U`. Should have `N-2` indexed
+ elements. `D` is overwritten by the second super-diagonal elements of
+ `U`.
+
+ sd: integer
+ Stride length for `D`.
+
+ od: integer
+ Starting index for `D`.
+
+ IN: Int32Array
+ Pivot indicators and singularity details. Should have `N` indexed
+ elements.
+
+ si: integer
+ Stride length for `IN`.
+
+ oi: integer
+ Starting index for `IN`.
+
+ Returns
+ -------
+ info: integer
+ Status code.
+
+ Examples
+ --------
+ > var Float64Array = {{alias:@stdlib/array/float64}};
+ > var Int32Array = {{alias:@stdlib/array/int32}};
+ > var A = new Float64Array( [ 2.0, 3.0, 1.0 ] );
+ > var B = new Float64Array( [ 1.0, 1.0 ] );
+ > var C = new Float64Array( [ 1.0, 1.0 ] );
+ > var D = new Float64Array( 1 );
+ > var IN = new Int32Array( 3 );
+ > {{alias}}.ndarray( 3, A, 1,0, 0.0, B, 1,0, C, 1,0, 0.0, D, 1,0, IN, 1,0 )
+ 0
+ > A
+ [ 2.0, 2.5, 0.6 ]
+ > B
+ [ 1.0, 1.0 ]
+ > C
+ [ 0.5, 0.4 ]
+ > D
+ [ 0.0 ]
+ > IN
+ [ 0, 0, 0 ]
+
+ See Also
+ --------
diff --git a/lib/node_modules/@stdlib/lapack/base/dlagtf/docs/types/index.d.ts b/lib/node_modules/@stdlib/lapack/base/dlagtf/docs/types/index.d.ts
new file mode 100644
index 000000000000..e4b9ab245c3f
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlagtf/docs/types/index.d.ts
@@ -0,0 +1,186 @@
+/*
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+// TypeScript Version: 4.1
+
+/**
+* Status code.
+*
+* ## Notes
+*
+* The status code indicates the following conditions:
+*
+* - `0`: the factorization was successful. Singularity information is stored in the `IN` array, where `IN[k]` records whether a pivot occurred at step `k` (0-based indexing).
+*/
+type StatusCode = number;
+
+/**
+* Interface describing `dlagtf`.
+*/
+interface Routine {
+ /**
+ * Computes an `LU` factorization of a matrix `T - lambda*I`, where `T` is a general real tridiagonal matrix, and `lambda` a scalar, using partial pivoting with row interchanges.
+ *
+ * ## Notes
+ *
+ * - `A` should have `N` elements and is overwritten by the diagonal elements of `U`.
+ * - `B` should have `N-1` elements and is overwritten by the first super-diagonal elements of `U`.
+ * - `C` should have `N-1` elements and is overwritten by the multipliers that define `L`.
+ * - `D` should have `N-2` elements and is overwritten by the second super-diagonal elements of `U`.
+ * - `IN` should have `N` elements and is overwritten by the pivot details and singularity info.
+ *
+ * @param N - order of the matrix T
+ * @param A - diagonal elements of T
+ * @param lambda - scalar constant
+ * @param B - super-diagonal elements of T
+ * @param C - sub-diagonal elements of T
+ * @param tol - tolerance constant
+ * @param D - second super-diagonal elements of U
+ * @param IN - pivot and singularity indices
+ * @returns status code
+ *
+ * @example
+ * var Float64Array = require( '@stdlib/array/float64' );
+ * var Int32Array = require( '@stdlib/array/int32' );
+ *
+ * var A = new Float64Array( [ 2.0, 3.0, 1.0 ] );
+ * var B = new Float64Array( [ 1.0, 1.0 ] );
+ * var C = new Float64Array( [ 1.0, 1.0 ] );
+ * var D = new Float64Array( [ 0.0 ] );
+ * var IN = new Int32Array( [ 0, 0, 0 ] );
+ *
+ * dlagtf( 3, A, 0.0, B, C, 0.0, D, IN );
+ * // A => [ 2.0, 2.5, 0.6 ]
+ * // B => [ 1.0, 1.0 ]
+ * // C => [ 0.5, 0.4 ]
+ * // D => [ 0.0 ]
+ * // IN => [ 0, 0, 0 ]
+ */
+ ( N: number, A: Float64Array, lambda: number, B: Float64Array, C: Float64Array, tol: number, D: Float64Array, IN: Int32Array ): StatusCode;
+
+ /**
+ * Computes an `LU` factorization of a matrix `T - lambda*I`, where `T` is a general real tridiagonal matrix, and `lambda` a scalar, using partial pivoting with row interchanges and alternative indexing semantics.
+ *
+ * ## Notes
+ *
+ * - `A` should have `N` elements and is overwritten by the diagonal elements of `U`.
+ * - `B` should have `N-1` elements and is overwritten by the first super-diagonal elements of `U`.
+ * - `C` should have `N-1` elements and is overwritten by the multipliers that define `L`.
+ * - `D` should have `N-2` elements and is overwritten by the second super-diagonal elements of `U`.
+ * - `IN` should have `N` elements and is overwritten by the pivot details and singularity info.
+ *
+ * @param N - order of the matrix T
+ * @param A - diagonal elements of T
+ * @param strideA - stride length for A
+ * @param offsetA - starting index of A
+ * @param lambda - scalar constant
+ * @param B - super-diagonal elements of T
+ * @param strideB - stride length for B
+ * @param offsetB - starting index of B
+ * @param C - sub-diagonal elements of T
+ * @param strideC - stride length for C
+ * @param offsetC - starting index of C
+ * @param tol - tolerance constant
+ * @param D - second super-diagonal elements of U
+ * @param strideD - stride length for D
+ * @param offsetD - starting index of D
+ * @param IN - pivot and singularity indices
+ * @param strideIN - stride length for IN
+ * @param offsetIN - starting index of IN
+ * @returns status code
+ *
+ * @example
+ * var Float64Array = require( '@stdlib/array/float64' );
+ * var Int32Array = require( '@stdlib/array/int32' );
+ *
+ * var A = new Float64Array( [ 2.0, 3.0, 1.0 ] );
+ * var B = new Float64Array( [ 1.0, 1.0 ] );
+ * var C = new Float64Array( [ 1.0, 1.0 ] );
+ * var D = new Float64Array( [ 0.0 ] );
+ * var IN = new Int32Array( [ 0, 0, 0 ] );
+ *
+ * dlagtf.ndarray( 3, A, 1, 0, 0.0, B, 1, 0, C, 1, 0, 0.0, D, 1, 0, IN, 1, 0 );
+ * // A => [ 2.0, 2.5, 0.6 ]
+ * // B => [ 1.0, 1.0 ]
+ * // C => [ 0.5, 0.4 ]
+ * // D => [ 0.0 ]
+ * // IN => [ 0, 0, 0 ]
+ */
+ ndarray( N: number, A: Float64Array, strideA: number, offsetA: number, lambda: number, B: Float64Array, strideB: number, offsetB: number, C: Float64Array, strideC: number, offsetC: number, tol: number, D: Float64Array, strideD: number, offsetD: number, IN: Int32Array, strideIN: number, offsetIN: number ): StatusCode;
+}
+
+/**
+* LAPACK routine to compute an `LU` factorization of a matrix `T - lambda*I`, where `T` is a general real tridiagonal matrix, and `lambda` a scalar, using partial pivoting with row interchanges.
+*
+* ## Notes
+*
+* - `A` should have `N` elements and is overwritten by the diagonal elements of `U`.
+* - `B` should have `N-1` elements and is overwritten by the first super-diagonal elements of `U`.
+* - `C` should have `N-1` elements and is overwritten by the multipliers that define `L`.
+* - `D` should have `N-2` elements and is overwritten by the second super-diagonal elements of `U`.
+* - `IN` should have `N` elements and is overwritten by the pivot details and singularity info.
+*
+* @param N - order of the matrix T
+* @param A - diagonal elements of T
+* @param lambda - scalar constant
+* @param B - super-diagonal elements of T
+* @param C - sub-diagonal elements of T
+* @param tol - tolerance constant
+* @param D - second super-diagonal elements of U
+* @param IN - pivot and singularity indices
+* @returns status code
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+* var Int32Array = require( '@stdlib/array/int32' );
+*
+* var A = new Float64Array( [ 2.0, 3.0, 1.0 ] );
+* var B = new Float64Array( [ 1.0, 1.0 ] );
+* var C = new Float64Array( [ 1.0, 1.0 ] );
+* var D = new Float64Array( [ 0.0 ] );
+* var IN = new Int32Array( [ 0, 0, 0 ] );
+*
+* dlagtf( 3, A, 0.0, B, C, 0.0, D, IN );
+* // A => [ 2.0, 2.5, 0.6 ]
+* // B => [ 1.0, 1.0 ]
+* // C => [ 0.5, 0.4 ]
+* // D => [ 0.0 ]
+* // IN => [ 0, 0, 0 ]
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+* var Int32Array = require( '@stdlib/array/int32' );
+*
+* var A = new Float64Array( [ 2.0, 3.0, 1.0 ] );
+* var B = new Float64Array( [ 1.0, 1.0 ] );
+* var C = new Float64Array( [ 1.0, 1.0 ] );
+* var D = new Float64Array( [ 0.0 ] );
+* var IN = new Int32Array( [ 0, 0, 0 ] );
+*
+* dlagtf.ndarray( 3, A, 1, 0, 0.0, B, 1, 0, C, 1, 0, 0.0, D, 1, 0, IN, 1, 0 );
+* // A => [ 2.0, 2.5, 0.6 ]
+* // B => [ 1.0, 1.0 ]
+* // C => [ 0.5, 0.4 ]
+* // D => [ 0.0 ]
+* // IN => [ 0, 0, 0 ]
+*/
+declare var dlagtf: Routine;
+
+// EXPORTS //
+
+export = dlagtf;
diff --git a/lib/node_modules/@stdlib/lapack/base/dlagtf/docs/types/test.ts b/lib/node_modules/@stdlib/lapack/base/dlagtf/docs/types/test.ts
new file mode 100644
index 000000000000..dafdecd13136
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlagtf/docs/types/test.ts
@@ -0,0 +1,561 @@
+/*
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+// TypeScript Version: 4.1
+
+import dlagtf = require( './index' );
+
+// TESTS //
+
+// The function returns a number...
+{
+ const A = new Float64Array( 3 );
+ const B = new Float64Array( 2 );
+ const C = new Float64Array( 2 );
+ const D = new Float64Array( 1 );
+ const IN = new Int32Array( 3 );
+
+ dlagtf( 3, A, 0.0, B, C, 0.0, D, IN ); // $ExpectType number
+}
+
+// The compiler throws an error if the function is provided a first argument which is not a number...
+{
+ const A = new Float64Array( 3 );
+ const B = new Float64Array( 2 );
+ const C = new Float64Array( 2 );
+ const D = new Float64Array( 1 );
+ const IN = new Int32Array( 3 );
+
+ dlagtf( '5', A, 0.0, B, C, 0.0, D, IN ); // $ExpectError
+ dlagtf( true, A, 0.0, B, C, 0.0, D, IN ); // $ExpectError
+ dlagtf( false, A, 0.0, B, C, 0.0, D, IN ); // $ExpectError
+ dlagtf( null, A, 0.0, B, C, 0.0, D, IN ); // $ExpectError
+ dlagtf( undefined, A, 0.0, B, C, 0.0, D, IN ); // $ExpectError
+ dlagtf( [], A, 0.0, B, C, 0.0, D, IN ); // $ExpectError
+ dlagtf( {}, A, 0.0, B, C, 0.0, D, IN ); // $ExpectError
+ dlagtf( ( x: number ): number => x, A, 0.0, B, C, 0.0, D, IN ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a second argument which is not a Float64Array...
+{
+ const B = new Float64Array( 2 );
+ const C = new Float64Array( 2 );
+ const D = new Float64Array( 1 );
+ const IN = new Int32Array( 3 );
+
+ dlagtf( 3, '5', 0.0, B, C, 0.0, D, IN ); // $ExpectError
+ dlagtf( 3, 5, 0.0, B, C, 0.0, D, IN ); // $ExpectError
+ dlagtf( 3, true, 0.0, B, C, 0.0, D, IN ); // $ExpectError
+ dlagtf( 3, false, 0.0, B, C, 0.0, D, IN ); // $ExpectError
+ dlagtf( 3, null, 0.0, B, C, 0.0, D, IN ); // $ExpectError
+ dlagtf( 3, undefined, 0.0, B, C, 0.0, D, IN ); // $ExpectError
+ dlagtf( 3, [], 0.0, B, C, 0.0, D, IN ); // $ExpectError
+ dlagtf( 3, {}, 0.0, B, C, 0.0, D, IN ); // $ExpectError
+ dlagtf( 3, ( x: number ): number => x, 0.0, B, C, 0.0, D, IN ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a third argument which is not a number...
+{
+ const A = new Float64Array( 3 );
+ const B = new Float64Array( 2 );
+ const C = new Float64Array( 2 );
+ const D = new Float64Array( 1 );
+ const IN = new Int32Array( 3 );
+
+ dlagtf( 3, A, '5', B, C, 0.0, D, IN ); // $ExpectError
+ dlagtf( 3, A, true, B, C, 0.0, D, IN ); // $ExpectError
+ dlagtf( 3, A, false, B, C, 0.0, D, IN ); // $ExpectError
+ dlagtf( 3, A, null, B, C, 0.0, D, IN ); // $ExpectError
+ dlagtf( 3, A, undefined, B, C, 0.0, D, IN ); // $ExpectError
+ dlagtf( 3, A, [], B, C, 0.0, D, IN ); // $ExpectError
+ dlagtf( 3, A, {}, B, C, 0.0, D, IN ); // $ExpectError
+ dlagtf( 3, A, ( x: number ): number => x, B, C, 0.0, D, IN ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a fourth argument which is not a Float64Array...
+{
+ const A = new Float64Array( 3 );
+ const C = new Float64Array( 2 );
+ const D = new Float64Array( 1 );
+ const IN = new Int32Array( 3 );
+
+ dlagtf( 3, A, 0.0, '5', C, 0.0, D, IN ); // $ExpectError
+ dlagtf( 3, A, 0.0, 5, C, 0.0, D, IN ); // $ExpectError
+ dlagtf( 3, A, 0.0, true, C, 0.0, D, IN ); // $ExpectError
+ dlagtf( 3, A, 0.0, false, C, 0.0, D, IN ); // $ExpectError
+ dlagtf( 3, A, 0.0, null, C, 0.0, D, IN ); // $ExpectError
+ dlagtf( 3, A, 0.0, undefined, C, 0.0, D, IN ); // $ExpectError
+ dlagtf( 3, A, 0.0, [], C, 0.0, D, IN ); // $ExpectError
+ dlagtf( 3, A, 0.0, {}, C, 0.0, D, IN ); // $ExpectError
+ dlagtf( 3, A, 0.0, ( x: number ): number => x, C, 0.0, D, IN ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a fifth argument which is not a Float64Array...
+{
+ const A = new Float64Array( 3 );
+ const B = new Float64Array( 2 );
+ const D = new Float64Array( 1 );
+ const IN = new Int32Array( 3 );
+
+ dlagtf( 3, A, 0.0, B, '5', 0.0, D, IN ); // $ExpectError
+ dlagtf( 3, A, 0.0, B, 5, 0.0, D, IN ); // $ExpectError
+ dlagtf( 3, A, 0.0, B, true, 0.0, D, IN ); // $ExpectError
+ dlagtf( 3, A, 0.0, B, false, 0.0, D, IN ); // $ExpectError
+ dlagtf( 3, A, 0.0, B, null, 0.0, D, IN ); // $ExpectError
+ dlagtf( 3, A, 0.0, B, undefined, 0.0, D, IN ); // $ExpectError
+ dlagtf( 3, A, 0.0, B, [], 0.0, D, IN ); // $ExpectError
+ dlagtf( 3, A, 0.0, B, {}, 0.0, D, IN ); // $ExpectError
+ dlagtf( 3, A, 0.0, B, ( x: number ): number => x, 0.0, D, IN ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a sixth argument which is not a number...
+{
+ const A = new Float64Array( 3 );
+ const B = new Float64Array( 2 );
+ const C = new Float64Array( 2 );
+ const D = new Float64Array( 1 );
+ const IN = new Int32Array( 3 );
+
+ dlagtf( 3, A, 0.0, B, C, '5', D, IN ); // $ExpectError
+ dlagtf( 3, A, 0.0, B, C, true, D, IN ); // $ExpectError
+ dlagtf( 3, A, 0.0, B, C, false, D, IN ); // $ExpectError
+ dlagtf( 3, A, 0.0, B, C, null, D, IN ); // $ExpectError
+ dlagtf( 3, A, 0.0, B, C, undefined, D, IN ); // $ExpectError
+ dlagtf( 3, A, 0.0, B, C, [], D, IN ); // $ExpectError
+ dlagtf( 3, A, 0.0, B, C, {}, D, IN ); // $ExpectError
+ dlagtf( 3, A, 0.0, B, C, ( x: number ): number => x, D, IN ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a seventh argument which is not a Float64Array...
+{
+ const A = new Float64Array( 3 );
+ const B = new Float64Array( 2 );
+ const C = new Float64Array( 2 );
+ const IN = new Int32Array( 3 );
+
+ dlagtf( 3, A, 0.0, B, C, 0.0, '5', IN ); // $ExpectError
+ dlagtf( 3, A, 0.0, B, C, 0.0, 5, IN ); // $ExpectError
+ dlagtf( 3, A, 0.0, B, C, 0.0, true, IN ); // $ExpectError
+ dlagtf( 3, A, 0.0, B, C, 0.0, false, IN ); // $ExpectError
+ dlagtf( 3, A, 0.0, B, C, 0.0, null, IN ); // $ExpectError
+ dlagtf( 3, A, 0.0, B, C, 0.0, undefined, IN ); // $ExpectError
+ dlagtf( 3, A, 0.0, B, C, 0.0, [], IN ); // $ExpectError
+ dlagtf( 3, A, 0.0, B, C, 0.0, {}, IN ); // $ExpectError
+ dlagtf( 3, A, 0.0, B, C, 0.0, ( x: number ): number => x, IN ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided an eighth argument which is not an Int32Array...
+{
+ const A = new Float64Array( 3 );
+ const B = new Float64Array( 2 );
+ const C = new Float64Array( 2 );
+ const D = new Float64Array( 1 );
+
+ dlagtf( 3, A, 0.0, B, C, 0.0, D, '5' ); // $ExpectError
+ dlagtf( 3, A, 0.0, B, C, 0.0, D, 5 ); // $ExpectError
+ dlagtf( 3, A, 0.0, B, C, 0.0, D, true ); // $ExpectError
+ dlagtf( 3, A, 0.0, B, C, 0.0, D, false ); // $ExpectError
+ dlagtf( 3, A, 0.0, B, C, 0.0, D, null ); // $ExpectError
+ dlagtf( 3, A, 0.0, B, C, 0.0, D, undefined ); // $ExpectError
+ dlagtf( 3, A, 0.0, B, C, 0.0, D, [] ); // $ExpectError
+ dlagtf( 3, A, 0.0, B, C, 0.0, D, {} ); // $ExpectError
+ dlagtf( 3, A, 0.0, B, C, 0.0, D, ( x: number ): number => x ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided an unsupported number of arguments...
+{
+ const A = new Float64Array( 3 );
+ const B = new Float64Array( 2 );
+ const C = new Float64Array( 2 );
+ const D = new Float64Array( 1 );
+ const IN = new Int32Array( 3 );
+
+ dlagtf(); // $ExpectError
+ dlagtf( 3 ); // $ExpectError
+ dlagtf( 3, A ); // $ExpectError
+ dlagtf( 3, A, 0.0 ); // $ExpectError
+ dlagtf( 3, A, 0.0, B ); // $ExpectError
+ dlagtf( 3, A, 0.0, B, C ); // $ExpectError
+ dlagtf( 3, A, 0.0, B, C, 0.0 ); // $ExpectError
+ dlagtf( 3, A, 0.0, B, C, 0.0, D ); // $ExpectError
+ dlagtf( 3, A, 0.0, B, C, 0.0, D, IN, 10 ); // $ExpectError
+}
+
+// Attached to main export is an `ndarray` method which returns a number...
+{
+ const A = new Float64Array( 3 );
+ const B = new Float64Array( 2 );
+ const C = new Float64Array( 2 );
+ const D = new Float64Array( 1 );
+ const IN = new Int32Array( 3 );
+
+ dlagtf.ndarray( 3, A, 1, 0, 0.0, B, 1, 0, C, 1, 0, 0.0, D, 1, 0, IN, 1, 0 ); // $ExpectType number
+}
+
+// The compiler throws an error if the `ndarray` method is provided a first argument which is not a number...
+{
+ const A = new Float64Array( 3 );
+ const B = new Float64Array( 2 );
+ const C = new Float64Array( 2 );
+ const D = new Float64Array( 1 );
+ const IN = new Int32Array( 3 );
+
+ dlagtf.ndarray( '5', A, 1, 0, 0.0, B, 1, 0, C, 1, 0, 0.0, D, 1, 0, IN, 1, 0 ); // $ExpectError
+ dlagtf.ndarray( true, A, 1, 0, 0.0, B, 1, 0, C, 1, 0, 0.0, D, 1, 0, IN, 1, 0 ); // $ExpectError
+ dlagtf.ndarray( false, A, 1, 0, 0.0, B, 1, 0, C, 1, 0, 0.0, D, 1, 0, IN, 1, 0 ); // $ExpectError
+ dlagtf.ndarray( null, A, 1, 0, 0.0, B, 1, 0, C, 1, 0, 0.0, D, 1, 0, IN, 1, 0 ); // $ExpectError
+ dlagtf.ndarray( undefined, A, 1, 0, 0.0, B, 1, 0, C, 1, 0, 0.0, D, 1, 0, IN, 1, 0 ); // $ExpectError
+ dlagtf.ndarray( [], A, 1, 0, 0.0, B, 1, 0, C, 1, 0, 0.0, D, 1, 0, IN, 1, 0 ); // $ExpectError
+ dlagtf.ndarray( {}, A, 1, 0, 0.0, B, 1, 0, C, 1, 0, 0.0, D, 1, 0, IN, 1, 0 ); // $ExpectError
+ dlagtf.ndarray( ( x: number ): number => x, A, 1, 0, 0.0, B, 1, 0, C, 1, 0, 0.0, D, 1, 0, IN, 1, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the `ndarray` method is provided a second argument which is not a Float64Array...
+{
+ const B = new Float64Array( 2 );
+ const C = new Float64Array( 2 );
+ const D = new Float64Array( 1 );
+ const IN = new Int32Array( 3 );
+
+ dlagtf.ndarray( 3, '5', 1, 0, 0.0, B, 1, 0, C, 1, 0, 0.0, D, 1, 0, IN, 1, 0 ); // $ExpectError
+ dlagtf.ndarray( 3, 5, 1, 0, 0.0, B, 1, 0, C, 1, 0, 0.0, D, 1, 0, IN, 1, 0 ); // $ExpectError
+ dlagtf.ndarray( 3, true, 1, 0, 0.0, B, 1, 0, C, 1, 0, 0.0, D, 1, 0, IN, 1, 0 ); // $ExpectError
+ dlagtf.ndarray( 3, false, 1, 0, 0.0, B, 1, 0, C, 1, 0, 0.0, D, 1, 0, IN, 1, 0 ); // $ExpectError
+ dlagtf.ndarray( 3, null, 1, 0, 0.0, B, 1, 0, C, 1, 0, 0.0, D, 1, 0, IN, 1, 0 ); // $ExpectError
+ dlagtf.ndarray( 3, undefined, 1, 0, 0.0, B, 1, 0, C, 1, 0, 0.0, D, 1, 0, IN, 1, 0 ); // $ExpectError
+ dlagtf.ndarray( 3, [], 1, 0, 0.0, B, 1, 0, C, 1, 0, 0.0, D, 1, 0, IN, 1, 0 ); // $ExpectError
+ dlagtf.ndarray( 3, {}, 1, 0, 0.0, B, 1, 0, C, 1, 0, 0.0, D, 1, 0, IN, 1, 0 ); // $ExpectError
+ dlagtf.ndarray( 3, ( x: number ): number => x, 1, 0, 0.0, B, 1, 0, C, 1, 0, 0.0, D, 1, 0, IN, 1, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the `ndarray` method is provided a third argument which is not a number...
+{
+ const A = new Float64Array( 3 );
+ const B = new Float64Array( 2 );
+ const C = new Float64Array( 2 );
+ const D = new Float64Array( 1 );
+ const IN = new Int32Array( 3 );
+
+ dlagtf.ndarray( 3, A, '5', 0, 0.0, B, 1, 0, C, 1, 0, 0.0, D, 1, 0, IN, 1, 0 ); // $ExpectError
+ dlagtf.ndarray( 3, A, true, 0, 0.0, B, 1, 0, C, 1, 0, 0.0, D, 1, 0, IN, 1, 0 ); // $ExpectError
+ dlagtf.ndarray( 3, A, false, 0, 0.0, B, 1, 0, C, 1, 0, 0.0, D, 1, 0, IN, 1, 0 ); // $ExpectError
+ dlagtf.ndarray( 3, A, null, 0, 0.0, B, 1, 0, C, 1, 0, 0.0, D, 1, 0, IN, 1, 0 ); // $ExpectError
+ dlagtf.ndarray( 3, A, undefined, 0, 0.0, B, 1, 0, C, 1, 0, 0.0, D, 1, 0, IN, 1, 0 ); // $ExpectError
+ dlagtf.ndarray( 3, A, [], 0, 0.0, B, 1, 0, C, 1, 0, 0.0, D, 1, 0, IN, 1, 0 ); // $ExpectError
+ dlagtf.ndarray( 3, A, {}, 0, 0.0, B, 1, 0, C, 1, 0, 0.0, D, 1, 0, IN, 1, 0 ); // $ExpectError
+ dlagtf.ndarray( 3, A, ( x: number ): number => x, 0, 0.0, B, 1, 0, C, 1, 0, 0.0, D, 1, 0, IN, 1, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the `ndarray` method is provided a fourth argument which is not a number...
+{
+ const A = new Float64Array( 3 );
+ const B = new Float64Array( 2 );
+ const C = new Float64Array( 2 );
+ const D = new Float64Array( 1 );
+ const IN = new Int32Array( 3 );
+
+ dlagtf.ndarray( 3, A, 1, '5', 0.0, B, 1, 0, C, 1, 0, 0.0, D, 1, 0, IN, 1, 0 ); // $ExpectError
+ dlagtf.ndarray( 3, A, 1, true, 0.0, B, 1, 0, C, 1, 0, 0.0, D, 1, 0, IN, 1, 0 ); // $ExpectError
+ dlagtf.ndarray( 3, A, 1, false, 0.0, B, 1, 0, C, 1, 0, 0.0, D, 1, 0, IN, 1, 0 ); // $ExpectError
+ dlagtf.ndarray( 3, A, 1, null, 0.0, B, 1, 0, C, 1, 0, 0.0, D, 1, 0, IN, 1, 0 ); // $ExpectError
+ dlagtf.ndarray( 3, A, 1, undefined, 0.0, B, 1, 0, C, 1, 0, 0.0, D, 1, 0, IN, 1, 0 ); // $ExpectError
+ dlagtf.ndarray( 3, A, 1, [], 0.0, B, 1, 0, C, 1, 0, 0.0, D, 1, 0, IN, 1, 0 ); // $ExpectError
+ dlagtf.ndarray( 3, A, 1, {}, 0.0, B, 1, 0, C, 1, 0, 0.0, D, 1, 0, IN, 1, 0 ); // $ExpectError
+ dlagtf.ndarray( 3, A, 1, ( x: number ): number => x, 0.0, B, 1, 0, C, 1, 0, 0.0, D, 1, 0, IN, 1, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the `ndarray` method is provided a fifth argument which is not a number...
+{
+ const A = new Float64Array( 3 );
+ const B = new Float64Array( 2 );
+ const C = new Float64Array( 2 );
+ const D = new Float64Array( 1 );
+ const IN = new Int32Array( 3 );
+
+ dlagtf.ndarray( 3, A, 1, 0, '5', B, 1, 0, C, 1, 0, 0.0, D, 1, 0, IN, 1, 0 ); // $ExpectError
+ dlagtf.ndarray( 3, A, 1, 0, true, B, 1, 0, C, 1, 0, 0.0, D, 1, 0, IN, 1, 0 ); // $ExpectError
+ dlagtf.ndarray( 3, A, 1, 0, false, B, 1, 0, C, 1, 0, 0.0, D, 1, 0, IN, 1, 0 ); // $ExpectError
+ dlagtf.ndarray( 3, A, 1, 0, null, B, 1, 0, C, 1, 0, 0.0, D, 1, 0, IN, 1, 0 ); // $ExpectError
+ dlagtf.ndarray( 3, A, 1, 0, undefined, B, 1, 0, C, 1, 0, 0.0, D, 1, 0, IN, 1, 0 ); // $ExpectError
+ dlagtf.ndarray( 3, A, 1, 0, [], B, 1, 0, C, 1, 0, 0.0, D, 1, 0, IN, 1, 0 ); // $ExpectError
+ dlagtf.ndarray( 3, A, 1, 0, {}, B, 1, 0, C, 1, 0, 0.0, D, 1, 0, IN, 1, 0 ); // $ExpectError
+ dlagtf.ndarray( 3, A, 1, 0, ( x: number ): number => x, B, 1, 0, C, 1, 0, 0.0, D, 1, 0, IN, 1, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the `ndarray` method is provided a sixth argument which is not a Float64Array...
+{
+ const A = new Float64Array( 3 );
+ const C = new Float64Array( 2 );
+ const D = new Float64Array( 1 );
+ const IN = new Int32Array( 3 );
+
+ dlagtf.ndarray( 3, A, 1, 0, 0.0, '5', 1, 0, C, 1, 0, 0.0, D, 1, 0, IN, 1, 0 ); // $ExpectError
+ dlagtf.ndarray( 3, A, 1, 0, 0.0, 5, 1, 0, C, 1, 0, 0.0, D, 1, 0, IN, 1, 0 ); // $ExpectError
+ dlagtf.ndarray( 3, A, 1, 0, 0.0, true, 1, 0, C, 1, 0, 0.0, D, 1, 0, IN, 1, 0 ); // $ExpectError
+ dlagtf.ndarray( 3, A, 1, 0, 0.0, false, 1, 0, C, 1, 0, 0.0, D, 1, 0, IN, 1, 0 ); // $ExpectError
+ dlagtf.ndarray( 3, A, 1, 0, 0.0, null, 1, 0, C, 1, 0, 0.0, D, 1, 0, IN, 1, 0 ); // $ExpectError
+ dlagtf.ndarray( 3, A, 1, 0, 0.0, undefined, 1, 0, C, 1, 0, 0.0, D, 1, 0, IN, 1, 0 ); // $ExpectError
+ dlagtf.ndarray( 3, A, 1, 0, 0.0, [], 1, 0, C, 1, 0, 0.0, D, 1, 0, IN, 1, 0 ); // $ExpectError
+ dlagtf.ndarray( 3, A, 1, 0, 0.0, {}, 1, 0, C, 1, 0, 0.0, D, 1, 0, IN, 1, 0 ); // $ExpectError
+ dlagtf.ndarray( 3, A, 1, 0, 0.0, ( x: number ): number => x, 1, 0, C, 1, 0, 0.0, D, 1, 0, IN, 1, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the `ndarray` method is provided a seventh argument which is not a number...
+{
+ const A = new Float64Array( 3 );
+ const B = new Float64Array( 2 );
+ const C = new Float64Array( 2 );
+ const D = new Float64Array( 1 );
+ const IN = new Int32Array( 3 );
+
+ dlagtf.ndarray( 3, A, 1, 0, 0.0, B, '5', 0, C, 1, 0, 0.0, D, 1, 0, IN, 1, 0 ); // $ExpectError
+ dlagtf.ndarray( 3, A, 1, 0, 0.0, B, true, 0, C, 1, 0, 0.0, D, 1, 0, IN, 1, 0 ); // $ExpectError
+ dlagtf.ndarray( 3, A, 1, 0, 0.0, B, false, 0, C, 1, 0, 0.0, D, 1, 0, IN, 1, 0 ); // $ExpectError
+ dlagtf.ndarray( 3, A, 1, 0, 0.0, B, null, 0, C, 1, 0, 0.0, D, 1, 0, IN, 1, 0 ); // $ExpectError
+ dlagtf.ndarray( 3, A, 1, 0, 0.0, B, undefined, 0, C, 1, 0, 0.0, D, 1, 0, IN, 1, 0 ); // $ExpectError
+ dlagtf.ndarray( 3, A, 1, 0, 0.0, B, [], 0, C, 1, 0, 0.0, D, 1, 0, IN, 1, 0 ); // $ExpectError
+ dlagtf.ndarray( 3, A, 1, 0, 0.0, B, {}, 0, C, 1, 0, 0.0, D, 1, 0, IN, 1, 0 ); // $ExpectError
+ dlagtf.ndarray( 3, A, 1, 0, 0.0, B, ( x: number ): number => x, 0, C, 1, 0, 0.0, D, 1, 0, IN, 1, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the `ndarray` method is provided an eighth argument which is not a number...
+{
+ const A = new Float64Array( 3 );
+ const B = new Float64Array( 2 );
+ const C = new Float64Array( 2 );
+ const D = new Float64Array( 1 );
+ const IN = new Int32Array( 3 );
+
+ dlagtf.ndarray( 3, A, 1, 0, 0.0, B, 1, '5', C, 1, 0, 0.0, D, 1, 0, IN, 1, 0 ); // $ExpectError
+ dlagtf.ndarray( 3, A, 1, 0, 0.0, B, 1, true, C, 1, 0, 0.0, D, 1, 0, IN, 1, 0 ); // $ExpectError
+ dlagtf.ndarray( 3, A, 1, 0, 0.0, B, 1, false, C, 1, 0, 0.0, D, 1, 0, IN, 1, 0 ); // $ExpectError
+ dlagtf.ndarray( 3, A, 1, 0, 0.0, B, 1, null, C, 1, 0, 0.0, D, 1, 0, IN, 1, 0 ); // $ExpectError
+ dlagtf.ndarray( 3, A, 1, 0, 0.0, B, 1, undefined, C, 1, 0, 0.0, D, 1, 0, IN, 1, 0 ); // $ExpectError
+ dlagtf.ndarray( 3, A, 1, 0, 0.0, B, 1, [], C, 1, 0, 0.0, D, 1, 0, IN, 1, 0 ); // $ExpectError
+ dlagtf.ndarray( 3, A, 1, 0, 0.0, B, 1, {}, C, 1, 0, 0.0, D, 1, 0, IN, 1, 0 ); // $ExpectError
+ dlagtf.ndarray( 3, A, 1, 0, 0.0, B, 1, ( x: number ): number => x, C, 1, 0, 0.0, D, 1, 0, IN, 1, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the `ndarray` method is provided a ninth argument which is not a Float64Array...
+{
+ const A = new Float64Array( 3 );
+ const B = new Float64Array( 2 );
+ const D = new Float64Array( 1 );
+ const IN = new Int32Array( 3 );
+
+ dlagtf.ndarray( 3, A, 1, 0, 0.0, B, 1, 0, '5', 1, 0, 0.0, D, 1, 0, IN, 1, 0 ); // $ExpectError
+ dlagtf.ndarray( 3, A, 1, 0, 0.0, B, 1, 0, 5, 1, 0, 0.0, D, 1, 0, IN, 1, 0 ); // $ExpectError
+ dlagtf.ndarray( 3, A, 1, 0, 0.0, B, 1, 0, true, 1, 0, 0.0, D, 1, 0, IN, 1, 0 ); // $ExpectError
+ dlagtf.ndarray( 3, A, 1, 0, 0.0, B, 1, 0, false, 1, 0, 0.0, D, 1, 0, IN, 1, 0 ); // $ExpectError
+ dlagtf.ndarray( 3, A, 1, 0, 0.0, B, 1, 0, null, 1, 0, 0.0, D, 1, 0, IN, 1, 0 ); // $ExpectError
+ dlagtf.ndarray( 3, A, 1, 0, 0.0, B, 1, 0, undefined, 1, 0, 0.0, D, 1, 0, IN, 1, 0 ); // $ExpectError
+ dlagtf.ndarray( 3, A, 1, 0, 0.0, B, 1, 0, [], 1, 0, 0.0, D, 1, 0, IN, 1, 0 ); // $ExpectError
+ dlagtf.ndarray( 3, A, 1, 0, 0.0, B, 1, 0, {}, 1, 0, 0.0, D, 1, 0, IN, 1, 0 ); // $ExpectError
+ dlagtf.ndarray( 3, A, 1, 0, 0.0, B, 1, 0, ( x: number ): number => x, 1, 0, 0.0, D, 1, 0, IN, 1, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the `ndarray` method is provided a tenth argument which is not a number...
+{
+ const A = new Float64Array( 3 );
+ const B = new Float64Array( 2 );
+ const C = new Float64Array( 2 );
+ const D = new Float64Array( 1 );
+ const IN = new Int32Array( 3 );
+
+ dlagtf.ndarray( 3, A, 1, 0, 0.0, B, 1, 0, C, '5', 0, 0.0, D, 1, 0, IN, 1, 0 ); // $ExpectError
+ dlagtf.ndarray( 3, A, 1, 0, 0.0, B, 1, 0, C, true, 0, 0.0, D, 1, 0, IN, 1, 0 ); // $ExpectError
+ dlagtf.ndarray( 3, A, 1, 0, 0.0, B, 1, 0, C, false, 0, 0.0, D, 1, 0, IN, 1, 0 ); // $ExpectError
+ dlagtf.ndarray( 3, A, 1, 0, 0.0, B, 1, 0, C, null, 0, 0.0, D, 1, 0, IN, 1, 0 ); // $ExpectError
+ dlagtf.ndarray( 3, A, 1, 0, 0.0, B, 1, 0, C, undefined, 0, 0.0, D, 1, 0, IN, 1, 0 ); // $ExpectError
+ dlagtf.ndarray( 3, A, 1, 0, 0.0, B, 1, 0, C, [], 0, 0.0, D, 1, 0, IN, 1, 0 ); // $ExpectError
+ dlagtf.ndarray( 3, A, 1, 0, 0.0, B, 1, 0, C, {}, 0, 0.0, D, 1, 0, IN, 1, 0 ); // $ExpectError
+ dlagtf.ndarray( 3, A, 1, 0, 0.0, B, 1, 0, C, ( x: number ): number => x, 0, 0.0, D, 1, 0, IN, 1, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the `ndarray` method is provided an eleventh argument which is not a number...
+{
+ const A = new Float64Array( 3 );
+ const B = new Float64Array( 2 );
+ const C = new Float64Array( 2 );
+ const D = new Float64Array( 1 );
+ const IN = new Int32Array( 3 );
+
+ dlagtf.ndarray( 3, A, 1, 0, 0.0, B, 1, 0, C, 1, '5', 0.0, D, 1, 0, IN, 1, 0 ); // $ExpectError
+ dlagtf.ndarray( 3, A, 1, 0, 0.0, B, 1, 0, C, 1, true, 0.0, D, 1, 0, IN, 1, 0 ); // $ExpectError
+ dlagtf.ndarray( 3, A, 1, 0, 0.0, B, 1, 0, C, 1, false, 0.0, D, 1, 0, IN, 1, 0 ); // $ExpectError
+ dlagtf.ndarray( 3, A, 1, 0, 0.0, B, 1, 0, C, 1, null, 0.0, D, 1, 0, IN, 1, 0 ); // $ExpectError
+ dlagtf.ndarray( 3, A, 1, 0, 0.0, B, 1, 0, C, 1, undefined, 0.0, D, 1, 0, IN, 1, 0 ); // $ExpectError
+ dlagtf.ndarray( 3, A, 1, 0, 0.0, B, 1, 0, C, 1, [], 0.0, D, 1, 0, IN, 1, 0 ); // $ExpectError
+ dlagtf.ndarray( 3, A, 1, 0, 0.0, B, 1, 0, C, 1, {}, 0.0, D, 1, 0, IN, 1, 0 ); // $ExpectError
+ dlagtf.ndarray( 3, A, 1, 0, 0.0, B, 1, 0, C, 1, ( x: number ): number => x, 0.0, D, 1, 0, IN, 1, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the `ndarray` method is provided a twelfth argument which is not a number...
+{
+ const A = new Float64Array( 3 );
+ const B = new Float64Array( 2 );
+ const C = new Float64Array( 2 );
+ const D = new Float64Array( 1 );
+ const IN = new Int32Array( 3 );
+
+ dlagtf.ndarray( 3, A, 1, 0, 0.0, B, 1, 0, C, 1, 0, '5', D, 1, 0, IN, 1, 0 ); // $ExpectError
+ dlagtf.ndarray( 3, A, 1, 0, 0.0, B, 1, 0, C, 1, 0, true, D, 1, 0, IN, 1, 0 ); // $ExpectError
+ dlagtf.ndarray( 3, A, 1, 0, 0.0, B, 1, 0, C, 1, 0, false, D, 1, 0, IN, 1, 0 ); // $ExpectError
+ dlagtf.ndarray( 3, A, 1, 0, 0.0, B, 1, 0, C, 1, 0, null, D, 1, 0, IN, 1, 0 ); // $ExpectError
+ dlagtf.ndarray( 3, A, 1, 0, 0.0, B, 1, 0, C, 1, 0, undefined, D, 1, 0, IN, 1, 0 ); // $ExpectError
+ dlagtf.ndarray( 3, A, 1, 0, 0.0, B, 1, 0, C, 1, 0, [], D, 1, 0, IN, 1, 0 ); // $ExpectError
+ dlagtf.ndarray( 3, A, 1, 0, 0.0, B, 1, 0, C, 1, 0, {}, D, 1, 0, IN, 1, 0 ); // $ExpectError
+ dlagtf.ndarray( 3, A, 1, 0, 0.0, B, 1, 0, C, 1, 0, ( x: number ): number => x, D, 1, 0, IN, 1, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the `ndarray` method is provided a thirteenth argument which is not a Float64Array...
+{
+ const A = new Float64Array( 3 );
+ const B = new Float64Array( 2 );
+ const C = new Float64Array( 2 );
+ const IN = new Int32Array( 3 );
+
+ dlagtf.ndarray( 3, A, 1, 0, 0.0, B, 1, 0, C, 1, 0, 0.0, '5', 1, 0, IN, 1, 0 ); // $ExpectError
+ dlagtf.ndarray( 3, A, 1, 0, 0.0, B, 1, 0, C, 1, 0, 0.0, 5, 1, 0, IN, 1, 0 ); // $ExpectError
+ dlagtf.ndarray( 3, A, 1, 0, 0.0, B, 1, 0, C, 1, 0, 0.0, true, 1, 0, IN, 1, 0 ); // $ExpectError
+ dlagtf.ndarray( 3, A, 1, 0, 0.0, B, 1, 0, C, 1, 0, 0.0, false, 1, 0, IN, 1, 0 ); // $ExpectError
+ dlagtf.ndarray( 3, A, 1, 0, 0.0, B, 1, 0, C, 1, 0, 0.0, null, 1, 0, IN, 1, 0 ); // $ExpectError
+ dlagtf.ndarray( 3, A, 1, 0, 0.0, B, 1, 0, C, 1, 0, 0.0, undefined, 1, 0, IN, 1, 0 ); // $ExpectError
+ dlagtf.ndarray( 3, A, 1, 0, 0.0, B, 1, 0, C, 1, 0, 0.0, [], 1, 0, IN, 1, 0 ); // $ExpectError
+ dlagtf.ndarray( 3, A, 1, 0, 0.0, B, 1, 0, C, 1, 0, 0.0, {}, 1, 0, IN, 1, 0 ); // $ExpectError
+ dlagtf.ndarray( 3, A, 1, 0, 0.0, B, 1, 0, C, 1, 0, 0.0, ( x: number ): number => x, 1, 0, IN, 1, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the `ndarray` method is provided a fourteenth argument which is not a number...
+{
+ const A = new Float64Array( 3 );
+ const B = new Float64Array( 2 );
+ const C = new Float64Array( 2 );
+ const D = new Float64Array( 1 );
+ const IN = new Int32Array( 3 );
+
+ dlagtf.ndarray( 3, A, 1, 0, 0.0, B, 1, 0, C, 1, 0, 0.0, D, '5', 0, IN, 1, 0 ); // $ExpectError
+ dlagtf.ndarray( 3, A, 1, 0, 0.0, B, 1, 0, C, 1, 0, 0.0, D, true, 0, IN, 1, 0 ); // $ExpectError
+ dlagtf.ndarray( 3, A, 1, 0, 0.0, B, 1, 0, C, 1, 0, 0.0, D, false, 0, IN, 1, 0 ); // $ExpectError
+ dlagtf.ndarray( 3, A, 1, 0, 0.0, B, 1, 0, C, 1, 0, 0.0, D, null, 0, IN, 1, 0 ); // $ExpectError
+ dlagtf.ndarray( 3, A, 1, 0, 0.0, B, 1, 0, C, 1, 0, 0.0, D, undefined, 0, IN, 1, 0 ); // $ExpectError
+ dlagtf.ndarray( 3, A, 1, 0, 0.0, B, 1, 0, C, 1, 0, 0.0, D, [], 0, IN, 1, 0 ); // $ExpectError
+ dlagtf.ndarray( 3, A, 1, 0, 0.0, B, 1, 0, C, 1, 0, 0.0, D, {}, 0, IN, 1, 0 ); // $ExpectError
+ dlagtf.ndarray( 3, A, 1, 0, 0.0, B, 1, 0, C, 1, 0, 0.0, D, ( x: number ): number => x, 0, IN, 1, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the `ndarray` method is provided a fifteenth argument which is not a number...
+{
+ const A = new Float64Array( 3 );
+ const B = new Float64Array( 2 );
+ const C = new Float64Array( 2 );
+ const D = new Float64Array( 1 );
+ const IN = new Int32Array( 3 );
+
+ dlagtf.ndarray( 3, A, 1, 0, 0.0, B, 1, 0, C, 1, 0, 0.0, D, 1, '5', IN, 1, 0 ); // $ExpectError
+ dlagtf.ndarray( 3, A, 1, 0, 0.0, B, 1, 0, C, 1, 0, 0.0, D, 1, true, IN, 1, 0 ); // $ExpectError
+ dlagtf.ndarray( 3, A, 1, 0, 0.0, B, 1, 0, C, 1, 0, 0.0, D, 1, false, IN, 1, 0 ); // $ExpectError
+ dlagtf.ndarray( 3, A, 1, 0, 0.0, B, 1, 0, C, 1, 0, 0.0, D, 1, null, IN, 1, 0 ); // $ExpectError
+ dlagtf.ndarray( 3, A, 1, 0, 0.0, B, 1, 0, C, 1, 0, 0.0, D, 1, undefined, IN, 1, 0 ); // $ExpectError
+ dlagtf.ndarray( 3, A, 1, 0, 0.0, B, 1, 0, C, 1, 0, 0.0, D, 1, [], IN, 1, 0 ); // $ExpectError
+ dlagtf.ndarray( 3, A, 1, 0, 0.0, B, 1, 0, C, 1, 0, 0.0, D, 1, {}, IN, 1, 0 ); // $ExpectError
+ dlagtf.ndarray( 3, A, 1, 0, 0.0, B, 1, 0, C, 1, 0, 0.0, D, 1, ( x: number ): number => x, IN, 1, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the `ndarray` method is provided a sixteenth argument which is not an Int32Array...
+{
+ const A = new Float64Array( 3 );
+ const B = new Float64Array( 2 );
+ const C = new Float64Array( 2 );
+ const D = new Float64Array( 1 );
+
+ dlagtf.ndarray( 3, A, 1, 0, 0.0, B, 1, 0, C, 1, 0, 0.0, D, 1, 0, '5', 1, 0 ); // $ExpectError
+ dlagtf.ndarray( 3, A, 1, 0, 0.0, B, 1, 0, C, 1, 0, 0.0, D, 1, 0, 5, 1, 0 ); // $ExpectError
+ dlagtf.ndarray( 3, A, 1, 0, 0.0, B, 1, 0, C, 1, 0, 0.0, D, 1, 0, true, 1, 0 ); // $ExpectError
+ dlagtf.ndarray( 3, A, 1, 0, 0.0, B, 1, 0, C, 1, 0, 0.0, D, 1, 0, false, 1, 0 ); // $ExpectError
+ dlagtf.ndarray( 3, A, 1, 0, 0.0, B, 1, 0, C, 1, 0, 0.0, D, 1, 0, null, 1, 0 ); // $ExpectError
+ dlagtf.ndarray( 3, A, 1, 0, 0.0, B, 1, 0, C, 1, 0, 0.0, D, 1, 0, undefined, 1, 0 ); // $ExpectError
+ dlagtf.ndarray( 3, A, 1, 0, 0.0, B, 1, 0, C, 1, 0, 0.0, D, 1, 0, [], 1, 0 ); // $ExpectError
+ dlagtf.ndarray( 3, A, 1, 0, 0.0, B, 1, 0, C, 1, 0, 0.0, D, 1, 0, {}, 1, 0 ); // $ExpectError
+ dlagtf.ndarray( 3, A, 1, 0, 0.0, B, 1, 0, C, 1, 0, 0.0, D, 1, 0, ( x: number ): number => x, 1, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the `ndarray` method is provided a seventeenth argument which is not a number...
+{
+ const A = new Float64Array( 3 );
+ const B = new Float64Array( 2 );
+ const C = new Float64Array( 2 );
+ const D = new Float64Array( 1 );
+ const IN = new Int32Array( 3 );
+
+ dlagtf.ndarray( 3, A, 1, 0, 0.0, B, 1, 0, C, 1, 0, 0.0, D, 1, 0, IN, '5', 0 ); // $ExpectError
+ dlagtf.ndarray( 3, A, 1, 0, 0.0, B, 1, 0, C, 1, 0, 0.0, D, 1, 0, IN, true, 0 ); // $ExpectError
+ dlagtf.ndarray( 3, A, 1, 0, 0.0, B, 1, 0, C, 1, 0, 0.0, D, 1, 0, IN, false, 0 ); // $ExpectError
+ dlagtf.ndarray( 3, A, 1, 0, 0.0, B, 1, 0, C, 1, 0, 0.0, D, 1, 0, IN, null, 0 ); // $ExpectError
+ dlagtf.ndarray( 3, A, 1, 0, 0.0, B, 1, 0, C, 1, 0, 0.0, D, 1, 0, IN, undefined, 0 ); // $ExpectError
+ dlagtf.ndarray( 3, A, 1, 0, 0.0, B, 1, 0, C, 1, 0, 0.0, D, 1, 0, IN, [], 0 ); // $ExpectError
+ dlagtf.ndarray( 3, A, 1, 0, 0.0, B, 1, 0, C, 1, 0, 0.0, D, 1, 0, IN, {}, 0 ); // $ExpectError
+ dlagtf.ndarray( 3, A, 1, 0, 0.0, B, 1, 0, C, 1, 0, 0.0, D, 1, 0, IN, ( x: number ): number => x, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the `ndarray` method is provided an eighteenth argument which is not a number...
+{
+ const A = new Float64Array( 3 );
+ const B = new Float64Array( 2 );
+ const C = new Float64Array( 2 );
+ const D = new Float64Array( 1 );
+ const IN = new Int32Array( 3 );
+
+ dlagtf.ndarray( 3, A, 1, 0, 0.0, B, 1, 0, C, 1, 0, 0.0, D, 1, 0, IN, 1, '5' ); // $ExpectError
+ dlagtf.ndarray( 3, A, 1, 0, 0.0, B, 1, 0, C, 1, 0, 0.0, D, 1, 0, IN, 1, true ); // $ExpectError
+ dlagtf.ndarray( 3, A, 1, 0, 0.0, B, 1, 0, C, 1, 0, 0.0, D, 1, 0, IN, 1, false ); // $ExpectError
+ dlagtf.ndarray( 3, A, 1, 0, 0.0, B, 1, 0, C, 1, 0, 0.0, D, 1, 0, IN, 1, null ); // $ExpectError
+ dlagtf.ndarray( 3, A, 1, 0, 0.0, B, 1, 0, C, 1, 0, 0.0, D, 1, 0, IN, 1, undefined ); // $ExpectError
+ dlagtf.ndarray( 3, A, 1, 0, 0.0, B, 1, 0, C, 1, 0, 0.0, D, 1, 0, IN, 1, [] ); // $ExpectError
+ dlagtf.ndarray( 3, A, 1, 0, 0.0, B, 1, 0, C, 1, 0, 0.0, D, 1, 0, IN, 1, {} ); // $ExpectError
+ dlagtf.ndarray( 3, A, 1, 0, 0.0, B, 1, 0, C, 1, 0, 0.0, D, 1, 0, IN, 1, ( x: number ): number => x ); // $ExpectError
+}
+
+// The compiler throws an error if the `ndarray` method is provided an unsupported number of arguments...
+{
+ const A = new Float64Array( 3 );
+ const B = new Float64Array( 2 );
+ const C = new Float64Array( 2 );
+ const D = new Float64Array( 1 );
+ const IN = new Int32Array( 3 );
+
+ dlagtf.ndarray(); // $ExpectError
+ dlagtf.ndarray( 3 ); // $ExpectError
+ dlagtf.ndarray( 3, A ); // $ExpectError
+ dlagtf.ndarray( 3, A, 1 ); // $ExpectError
+ dlagtf.ndarray( 3, A, 1, 0 ); // $ExpectError
+ dlagtf.ndarray( 3, A, 1, 0, 0.0 ); // $ExpectError
+ dlagtf.ndarray( 3, A, 1, 0, 0.0, B ); // $ExpectError
+ dlagtf.ndarray( 3, A, 1, 0, 0.0, B, 1 ); // $ExpectError
+ dlagtf.ndarray( 3, A, 1, 0, 0.0, B, 1, 0 ); // $ExpectError
+ dlagtf.ndarray( 3, A, 1, 0, 0.0, B, 1, 0, C ); // $ExpectError
+ dlagtf.ndarray( 3, A, 1, 0, 0.0, B, 1, 0, C, 1 ); // $ExpectError
+ dlagtf.ndarray( 3, A, 1, 0, 0.0, B, 1, 0, C, 1, 0 ); // $ExpectError
+ dlagtf.ndarray( 3, A, 1, 0, 0.0, B, 1, 0, C, 1, 0, 0.0 ); // $ExpectError
+ dlagtf.ndarray( 3, A, 1, 0, 0.0, B, 1, 0, C, 1, 0, 0.0, D ); // $ExpectError
+ dlagtf.ndarray( 3, A, 1, 0, 0.0, B, 1, 0, C, 1, 0, 0.0, D, 1 ); // $ExpectError
+ dlagtf.ndarray( 3, A, 1, 0, 0.0, B, 1, 0, C, 1, 0, 0.0, D, 1, 0 ); // $ExpectError
+ dlagtf.ndarray( 3, A, 1, 0, 0.0, B, 1, 0, C, 1, 0, 0.0, D, 1, 0, IN ); // $ExpectError
+ dlagtf.ndarray( 3, A, 1, 0, 0.0, B, 1, 0, C, 1, 0, 0.0, D, 1, 0, IN, 1 ); // $ExpectError
+ dlagtf.ndarray( 3, A, 1, 0, 0.0, B, 1, 0, C, 1, 0, 0.0, D, 1, 0, IN, 1, 0, 10 ); // $ExpectError
+}
diff --git a/lib/node_modules/@stdlib/lapack/base/dlagtf/examples/index.js b/lib/node_modules/@stdlib/lapack/base/dlagtf/examples/index.js
new file mode 100644
index 000000000000..67e134b4c9b9
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlagtf/examples/index.js
@@ -0,0 +1,40 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+var Int32Array = require( '@stdlib/array/int32' );
+var Float64Array = require( '@stdlib/array/float64' );
+var dlagtf = require( './../lib' );
+
+var N = 5;
+
+var A = new Float64Array( [ 2.0, 3.0, 1.0, 2.0, 1.0 ] );
+var B = new Float64Array( [ 1.0, 1.0, 1.0, 1.0 ] );
+var C = new Float64Array( [ 1.0, 1.0, 1.0, 1.0 ] );
+var D = new Float64Array( N - 2 );
+var IN = new Int32Array( N );
+
+var info = dlagtf( N, A, 0.0, B, C, 0.0, D, IN );
+
+console.log( 'A:', A );
+console.log( 'B:', B );
+console.log( 'C:', C );
+console.log( 'D:', D );
+console.log( 'IN:', IN );
+console.log( 'info:', info );
diff --git a/lib/node_modules/@stdlib/lapack/base/dlagtf/lib/base.js b/lib/node_modules/@stdlib/lapack/base/dlagtf/lib/base.js
new file mode 100644
index 000000000000..803cee1e478c
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlagtf/lib/base.js
@@ -0,0 +1,164 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var abs = require( '@stdlib/math/base/special/abs' );
+var max = require( '@stdlib/math/base/special/max' );
+var dlamch = require( '@stdlib/lapack/base/dlamch' );
+
+
+// MAIN //
+
+/**
+* Computes an `LU` factorization of a matrix `T - lambda*I`, where `T` is a general real tridiagonal matrix, and `lambda` a scalar, using partial pivoting with row interchanges.
+*
+* @private
+* @param {NonNegativeInteger} N - order of the matrix T
+* @param {Float64Array} A - diagonal elements of T
+* @param {integer} strideA - stride length for A
+* @param {NonNegativeInteger} offsetA - starting index of A
+* @param {number} lambda - scalar constant
+* @param {Float64Array} B - super-diagonal elements of T
+* @param {integer} strideB - stride length for B
+* @param {NonNegativeInteger} offsetB - starting index of B
+* @param {Float64Array} C - sub-diagonal elements of T
+* @param {integer} strideC - stride length for C
+* @param {NonNegativeInteger} offsetC - starting index of C
+* @param {number} tol - tolerance constant
+* @param {Float64Array} D - second super-diagonal elements of U
+* @param {integer} strideD - stride length for D
+* @param {NonNegativeInteger} offsetD - starting index of D
+* @param {Int32Array} IN - pivot and singularity indices
+* @param {integer} strideIN - stride length for IN
+* @param {NonNegativeInteger} offsetIN - starting index of IN
+* @returns {integer} status code
+*/
+function dlagtf( N, A, strideA, offsetA, lambda, B, strideB, offsetB, C, strideC, offsetC, tol, D, strideD, offsetD, IN, strideIN, offsetIN ) { // eslint-disable-line max-len, max-params
+ var scale1;
+ var scale2;
+ var mult;
+ var temp;
+ var piv1;
+ var piv2;
+ var iinN;
+ var eps;
+ var iin;
+ var ia;
+ var ib;
+ var ic;
+ var id;
+ var tl;
+ var k;
+
+ if ( N === 0 ) {
+ return 0;
+ }
+
+ ia = offsetA;
+ ib = offsetB;
+ ic = offsetC;
+ id = offsetD;
+ iin = offsetIN;
+ iinN = offsetIN + ( ( N - 1 ) * strideIN );
+
+ A[ ia ] -= lambda;
+ IN[ iinN ] = 0;
+
+ if ( N === 1 ) {
+ if ( A[ ia ] === 0.0 ) {
+ IN[ offsetIN ] = 1;
+ }
+ return 0;
+ }
+
+ eps = dlamch( 'e' );
+ tl = max( tol, eps );
+ scale1 = abs( A[ ia ] ) + abs( B[ ib ] );
+
+ for ( k = 0; k < N - 1; k++ ) {
+ A[ ia + strideA ] -= lambda;
+ scale2 = abs( C[ ic ] ) + abs( A[ ia + strideA ] );
+ if ( k < N - 2 ) {
+ scale2 += abs( B[ ib + strideB ] );
+ }
+
+ if ( A[ ia ] === 0.0 ) {
+ piv1 = 0.0;
+ } else {
+ piv1 = abs( A[ ia ] ) / scale1;
+ }
+
+ if ( C[ ic ] === 0.0 ) {
+ IN[ iin ] = 0;
+ piv2 = 0.0;
+ scale1 = scale2;
+ if ( k < N - 2 ) {
+ D[ id ] = 0.0;
+ }
+ } else {
+ piv2 = abs( C[ ic ] ) / scale2;
+ if ( piv2 <= piv1 ) {
+ IN[ iin ] = 0;
+ scale1 = scale2;
+ C[ ic ] /= A[ ia ];
+ A[ ia + strideA ] -= C[ ic ] * B[ ib ];
+ if ( k < N - 2 ) {
+ D[ id ] = 0.0;
+ }
+ } else {
+ IN[ iin ] = 1;
+ mult = A[ ia ] / C[ ic ];
+ A[ ia ] = C[ ic ];
+ temp = A[ ia + strideA ];
+ A[ ia + strideA ] = B[ ib ] - ( mult * temp );
+ if ( k < N - 2 ) {
+ D[ id ] = B[ ib + strideB ];
+ B[ ib + strideB ] = -mult * D[ id ];
+ }
+ B[ ib ] = temp;
+ C[ ic ] = mult;
+ }
+ }
+
+ if ( max( piv1, piv2 ) <= tl && IN[ iinN ] === 0 ) {
+ IN[ iinN ] = k + 1;
+ }
+
+ ia += strideA;
+ ib += strideB;
+ ic += strideC;
+ if ( k < N - 2 ) {
+ id += strideD;
+ }
+ iin += strideIN;
+ }
+
+ if ( abs( A[ ia ] ) <= scale1 * tl && IN[ iinN ] === 0 ) {
+ IN[ iinN ] = N;
+ }
+
+ return 0;
+}
+
+
+// EXPORTS //
+
+module.exports = dlagtf;
diff --git a/lib/node_modules/@stdlib/lapack/base/dlagtf/lib/dlagtf.js b/lib/node_modules/@stdlib/lapack/base/dlagtf/lib/dlagtf.js
new file mode 100644
index 000000000000..2b9cd4e8b2a2
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlagtf/lib/dlagtf.js
@@ -0,0 +1,79 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var format = require( '@stdlib/string/format' );
+var base = require( './base.js' );
+
+
+// MAIN //
+
+/**
+* Computes an `LU` factorization of a matrix `T - lambda*I`, where `T` is a general real tridiagonal matrix, and `lambda` a scalar, using partial pivoting with row interchanges.
+*
+* ## Notes
+*
+* - `A` should have `N` elements and is overwritten by the diagonal elements of `U`.
+* - `B` should have `N-1` elements and is overwritten by the first super-diagonal elements of `U`.
+* - `C` should have `N-1` elements and is overwritten by the multipliers that define `L`.
+* - `D` should have `N-2` elements and is overwritten by the second super-diagonal elements of `U`.
+* - `IN` should have `N` elements and is overwritten by the pivot details and singularity info.
+*
+* @param {NonNegativeInteger} N - order of the matrix T
+* @param {Float64Array} A - diagonal elements of T
+* @param {number} lambda - scalar constant
+* @param {Float64Array} B - super-diagonal elements of T
+* @param {Float64Array} C - sub-diagonal elements of T
+* @param {number} tol - tolerance constant
+* @param {Float64Array} D - second super-diagonal elements of U
+* @param {Int32Array} IN - pivot and singularity indices
+* @throws {RangeError} first argument must be a nonnegative integer
+* @returns {integer} status code
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+* var Int32Array = require( '@stdlib/array/int32' );
+* var dlagtf = require( '@stdlib/lapack/base/dlagtf' );
+*
+* var A = new Float64Array( [ 2.0, 3.0, 1.0 ] );
+* var B = new Float64Array( [ 1.0, 1.0 ] );
+* var C = new Float64Array( [ 1.0, 1.0 ] );
+* var D = new Float64Array( [ 0.0 ] );
+* var IN = new Int32Array( [ 0, 0, 0 ] );
+*
+* dlagtf( 3, A, 0.0, B, C, 0.0, D, IN );
+* // A => [ 2.0, 2.5, 0.6 ]
+* // B => [ 1.0, 1.0 ]
+* // C => [ 0.5, 0.4 ]
+* // D => [ 0.0 ]
+* // IN => [ 0, 0, 0 ]
+*/
+function dlagtf( N, A, lambda, B, C, tol, D, IN ) { // eslint-disable-line stdlib/jsdoc-doctest-decimal-point
+ if ( N < 0 ) {
+ throw new RangeError( format( 'invalid argument. First argument must be a nonnegative integer. Value: `%d`.', N ) );
+ }
+ return base( N, A, 1, 0, lambda, B, 1, 0, C, 1, 0, tol, D, 1, 0, IN, 1, 0 );
+}
+
+
+// EXPORTS //
+
+module.exports = dlagtf;
diff --git a/lib/node_modules/@stdlib/lapack/base/dlagtf/lib/index.js b/lib/node_modules/@stdlib/lapack/base/dlagtf/lib/index.js
new file mode 100644
index 000000000000..72eb087e8048
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlagtf/lib/index.js
@@ -0,0 +1,86 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+/**
+* LAPACK routine to compute an `LU` factorization of a matrix `T - lambda*I`, where `T` is a general real tridiagonal matrix, and `lambda` a scalar, using partial pivoting with row interchanges.
+*
+* @module @stdlib/lapack/base/dlagtf
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+* var Int32Array = require( '@stdlib/array/int32' );
+* var dlagtf = require( '@stdlib/lapack/base/dlagtf' );
+*
+* var A = new Float64Array( [ 2.0, 3.0, 1.0 ] );
+* var B = new Float64Array( [ 1.0, 1.0 ] );
+* var C = new Float64Array( [ 1.0, 1.0 ] );
+* var D = new Float64Array( [ 0.0 ] );
+* var IN = new Int32Array( [ 0, 0, 0 ] );
+*
+* dlagtf( 3, A, 0.0, B, C, 0.0, D, IN );
+* // A => [ 2.0, 2.5, 0.6 ]
+* // B => [ 1.0, 1.0 ]
+* // C => [ 0.5, 0.4 ]
+* // D => [ 0.0 ]
+* // IN => [ 0, 0, 0 ]
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+* var Int32Array = require( '@stdlib/array/int32' );
+* var dlagtf = require( '@stdlib/lapack/base/dlagtf' );
+*
+* var A = new Float64Array( [ 2.0, 3.0, 1.0 ] );
+* var B = new Float64Array( [ 1.0, 1.0 ] );
+* var C = new Float64Array( [ 1.0, 1.0 ] );
+* var D = new Float64Array( [ 0.0 ] );
+* var IN = new Int32Array( [ 0, 0, 0 ] );
+*
+* dlagtf.ndarray( 3, A, 1, 0, 0.0, B, 1, 0, C, 1, 0, 0.0, D, 1, 0, IN, 1, 0 );
+* // A => [ 2.0, 2.5, 0.6 ]
+* // B => [ 1.0, 1.0 ]
+* // C => [ 0.5, 0.4 ]
+* // D => [ 0.0 ]
+* // IN => [ 0, 0, 0 ]
+*/
+
+// MODULES //
+
+var join = require( 'path' ).join;
+var tryRequire = require( '@stdlib/utils/try-require' );
+var isError = require( '@stdlib/assert/is-error' );
+var main = require( './main.js' );
+
+
+// MAIN //
+
+var dlagtf;
+var tmp = tryRequire( join( __dirname, './native.js' ) );
+if ( isError( tmp ) ) {
+ dlagtf = main;
+} else {
+ dlagtf = tmp;
+}
+
+
+// EXPORTS //
+
+module.exports = dlagtf;
+
+// exports: { "ndarray": "dlagtf.ndarray" }
diff --git a/lib/node_modules/@stdlib/lapack/base/dlagtf/lib/main.js b/lib/node_modules/@stdlib/lapack/base/dlagtf/lib/main.js
new file mode 100644
index 000000000000..805fb7a8d405
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlagtf/lib/main.js
@@ -0,0 +1,35 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var setReadOnly = require( '@stdlib/utils/define-nonenumerable-read-only-property' );
+var dlagtf = require( './dlagtf.js' );
+var ndarray = require( './ndarray.js' );
+
+
+// MAIN //
+
+setReadOnly( dlagtf, 'ndarray', ndarray );
+
+
+// EXPORTS //
+
+module.exports = dlagtf;
diff --git a/lib/node_modules/@stdlib/lapack/base/dlagtf/lib/ndarray.js b/lib/node_modules/@stdlib/lapack/base/dlagtf/lib/ndarray.js
new file mode 100644
index 000000000000..49761e981c68
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlagtf/lib/ndarray.js
@@ -0,0 +1,88 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var format = require( '@stdlib/string/format' );
+var base = require( './base.js' );
+
+
+// MAIN //
+
+/**
+* Computes an `LU` factorization of a matrix `T - lambda*I`, where `T` is a general real tridiagonal matrix, and `lambda` a scalar, using partial pivoting with row interchanges and alternative indexing semantics.
+*
+* ## Notes
+*
+* - `A` should have `N` elements and is overwritten by the diagonal elements of `U`.
+* - `B` should have `N-1` elements and is overwritten by the first super-diagonal elements of `U`.
+* - `C` should have `N-1` elements and is overwritten by the multipliers that define `L`.
+* - `D` should have `N-2` elements and is overwritten by the second super-diagonal elements of `U`.
+* - `IN` should have `N` elements and is overwritten by the pivot details and singularity info.
+*
+* @param {NonNegativeInteger} N - order of the matrix T
+* @param {Float64Array} A - diagonal elements of T
+* @param {integer} strideA - stride length for A
+* @param {NonNegativeInteger} offsetA - starting index of A
+* @param {number} lambda - scalar constant
+* @param {Float64Array} B - super-diagonal elements of T
+* @param {integer} strideB - stride length for B
+* @param {NonNegativeInteger} offsetB - starting index of B
+* @param {Float64Array} C - sub-diagonal elements of T
+* @param {integer} strideC - stride length for C
+* @param {NonNegativeInteger} offsetC - starting index of C
+* @param {number} tol - tolerance constant
+* @param {Float64Array} D - second super-diagonal elements of U
+* @param {integer} strideD - stride length for D
+* @param {NonNegativeInteger} offsetD - starting index of D
+* @param {Int32Array} IN - pivot and singularity indices
+* @param {integer} strideIN - stride length for IN
+* @param {NonNegativeInteger} offsetIN - starting index of IN
+* @throws {RangeError} first argument must be a nonnegative integer
+* @returns {integer} status code
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+* var Int32Array = require( '@stdlib/array/int32' );
+*
+* var A = new Float64Array( [ 2.0, 3.0, 1.0 ] );
+* var B = new Float64Array( [ 1.0, 1.0 ] );
+* var C = new Float64Array( [ 1.0, 1.0 ] );
+* var D = new Float64Array( [ 0.0 ] );
+* var IN = new Int32Array( [ 0, 0, 0 ] );
+*
+* dlagtf( 3, A, 1, 0, 0.0, B, 1, 0, C, 1, 0, 0.0, D, 1, 0, IN, 1, 0 );
+* // A => [ 2.0, 2.5, 0.6 ]
+* // B => [ 1.0, 1.0 ]
+* // C => [ 0.5, 0.4 ]
+* // D => [ 0.0 ]
+* // IN => [ 0, 0, 0 ]
+*/
+function dlagtf( N, A, strideA, offsetA, lambda, B, strideB, offsetB, C, strideC, offsetC, tol, D, strideD, offsetD, IN, strideIN, offsetIN ) { // eslint-disable-line stdlib/jsdoc-doctest-decimal-point, max-len, max-params
+ if ( N < 0 ) {
+ throw new RangeError( format( 'invalid argument. First argument must be a nonnegative integer. Value: `%d`.', N ) );
+ }
+ return base( N, A, strideA, offsetA, lambda, B, strideB, offsetB, C, strideC, offsetC, tol, D, strideD, offsetD, IN, strideIN, offsetIN ); // eslint-disable-line max-len
+}
+
+
+// EXPORTS //
+
+module.exports = dlagtf;
diff --git a/lib/node_modules/@stdlib/lapack/base/dlagtf/package.json b/lib/node_modules/@stdlib/lapack/base/dlagtf/package.json
new file mode 100644
index 000000000000..44de0eed16cc
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlagtf/package.json
@@ -0,0 +1,70 @@
+{
+ "name": "@stdlib/lapack/base/dlagtf",
+ "version": "0.0.0",
+ "description": "Compute an LU factorization of a matrix T-lambda*I, where T is a general real tridiagonal matrix and lambda is a scalar, using partial pivoting with row interchanges",
+ "license": "Apache-2.0",
+ "author": {
+ "name": "The Stdlib Authors",
+ "url": "https://github.com/stdlib-js/stdlib/graphs/contributors"
+ },
+ "contributors": [
+ {
+ "name": "The Stdlib Authors",
+ "url": "https://github.com/stdlib-js/stdlib/graphs/contributors"
+ }
+ ],
+ "main": "./lib",
+ "directories": {
+ "benchmark": "./benchmark",
+ "doc": "./docs",
+ "example": "./examples",
+ "lib": "./lib",
+ "test": "./test"
+ },
+ "types": "./docs/types",
+ "scripts": {},
+ "homepage": "https://github.com/stdlib-js/stdlib",
+ "repository": {
+ "type": "git",
+ "url": "git://github.com/stdlib-js/stdlib.git"
+ },
+ "bugs": {
+ "url": "https://github.com/stdlib-js/stdlib/issues"
+ },
+ "dependencies": {},
+ "devDependencies": {},
+ "engines": {
+ "node": ">=0.10.0",
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new file mode 100644
index 000000000000..621f5dd9817a
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlagtf/test/fixtures/diag_dominant.json
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new file mode 100644
index 000000000000..f78c783dee14
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlagtf/test/fixtures/large_diag.json
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new file mode 100644
index 000000000000..d4320fda9843
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlagtf/test/fixtures/large_positive_stride_1.json
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diff --git a/lib/node_modules/@stdlib/lapack/base/dlagtf/test/fixtures/large_positive_stride_2.json b/lib/node_modules/@stdlib/lapack/base/dlagtf/test/fixtures/large_positive_stride_2.json
new file mode 100644
index 000000000000..c2d06e2c9cad
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlagtf/test/fixtures/large_positive_stride_2.json
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diff --git a/lib/node_modules/@stdlib/lapack/base/dlagtf/test/fixtures/mixed_pivoting.json b/lib/node_modules/@stdlib/lapack/base/dlagtf/test/fixtures/mixed_pivoting.json
new file mode 100644
index 000000000000..7ae1e4bbd52c
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlagtf/test/fixtures/mixed_pivoting.json
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diff --git a/lib/node_modules/@stdlib/lapack/base/dlagtf/test/fixtures/mixed_strides.json b/lib/node_modules/@stdlib/lapack/base/dlagtf/test/fixtures/mixed_strides.json
new file mode 100644
index 000000000000..c3fc5a6262e0
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlagtf/test/fixtures/mixed_strides.json
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diff --git a/lib/node_modules/@stdlib/lapack/base/dlagtf/test/fixtures/n_equals_one.json b/lib/node_modules/@stdlib/lapack/base/dlagtf/test/fixtures/n_equals_one.json
new file mode 100644
index 000000000000..18dfdf1c5554
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlagtf/test/fixtures/n_equals_one.json
@@ -0,0 +1,34 @@
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diff --git a/lib/node_modules/@stdlib/lapack/base/dlagtf/test/fixtures/n_equals_one_singular.json b/lib/node_modules/@stdlib/lapack/base/dlagtf/test/fixtures/n_equals_one_singular.json
new file mode 100644
index 000000000000..fcaedcc96538
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlagtf/test/fixtures/n_equals_one_singular.json
@@ -0,0 +1,34 @@
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diff --git a/lib/node_modules/@stdlib/lapack/base/dlagtf/test/fixtures/near_singular.json b/lib/node_modules/@stdlib/lapack/base/dlagtf/test/fixtures/near_singular.json
new file mode 100644
index 000000000000..362cc14d5a02
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlagtf/test/fixtures/near_singular.json
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diff --git a/lib/node_modules/@stdlib/lapack/base/dlagtf/test/fixtures/negative_strides.json b/lib/node_modules/@stdlib/lapack/base/dlagtf/test/fixtures/negative_strides.json
new file mode 100644
index 000000000000..dd0dfdcd98b0
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlagtf/test/fixtures/negative_strides.json
@@ -0,0 +1,90 @@
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diff --git a/lib/node_modules/@stdlib/lapack/base/dlagtf/test/fixtures/positive_stride_offset_1.json b/lib/node_modules/@stdlib/lapack/base/dlagtf/test/fixtures/positive_stride_offset_1.json
new file mode 100644
index 000000000000..f2aa6e934f70
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlagtf/test/fixtures/positive_stride_offset_1.json
@@ -0,0 +1,78 @@
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diff --git a/lib/node_modules/@stdlib/lapack/base/dlagtf/test/fixtures/positive_stride_offset_2.json b/lib/node_modules/@stdlib/lapack/base/dlagtf/test/fixtures/positive_stride_offset_2.json
new file mode 100644
index 000000000000..1b8a9fa26acb
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlagtf/test/fixtures/positive_stride_offset_2.json
@@ -0,0 +1,78 @@
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new file mode 100644
index 000000000000..e8fda4b6ebe8
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlagtf/test/fixtures/row_interchange.json
@@ -0,0 +1,68 @@
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diff --git a/lib/node_modules/@stdlib/lapack/base/dlagtf/test/fixtures/zero_sub_diagonal.json b/lib/node_modules/@stdlib/lapack/base/dlagtf/test/fixtures/zero_sub_diagonal.json
new file mode 100644
index 000000000000..6984453e49bf
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlagtf/test/fixtures/zero_sub_diagonal.json
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+ ],
+ "b_out": [
+ 1,
+ 2,
+ 3
+ ],
+ "c_out": [
+ 0,
+ 0,
+ 0
+ ],
+ "d_out": [
+ 0,
+ 0
+ ],
+ "in_out": [
+ 0,
+ 0,
+ 0,
+ 4
+ ],
+ "strideIN": 1,
+ "offsetIN": 0
+}
diff --git a/lib/node_modules/@stdlib/lapack/base/dlagtf/test/test.dlagtf.js b/lib/node_modules/@stdlib/lapack/base/dlagtf/test/test.dlagtf.js
new file mode 100644
index 000000000000..1327061b5a5c
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlagtf/test/test.dlagtf.js
@@ -0,0 +1,457 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var tape = require( 'tape' );
+var Float64Array = require( '@stdlib/array/float64' );
+var Int32Array = require( '@stdlib/array/int32' );
+var dlagtf = require( './../lib/dlagtf.js' );
+
+
+// FIXTURES //
+
+var DIAG_DOMINANT = require( './fixtures/diag_dominant.json' );
+var ROW_INTERCHANGE = require( './fixtures/row_interchange.json' );
+var MIXED_PIVOTING = require( './fixtures/mixed_pivoting.json' );
+var N_ONE = require( './fixtures/n_equals_one.json' );
+var N_ONE_SINGULAR = require( './fixtures/n_equals_one_singular.json' );
+var ZERO_SUBDIAG = require( './fixtures/zero_sub_diagonal.json' );
+var LARGE_DIAG = require( './fixtures/large_diag.json' );
+var NEAR_SINGULAR = require( './fixtures/near_singular.json' );
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+ t.ok( true, __filename );
+ t.strictEqual( typeof dlagtf, 'function', 'main export is a function' );
+ t.end();
+});
+
+tape( 'the function has an arity of 8', function test( t ) {
+ t.strictEqual( dlagtf.length, 8, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function throws an error if provided a first argument which is less than zero', function test( t ) {
+ var values;
+ var data;
+ var IN;
+ var A;
+ var B;
+ var C;
+ var D;
+ var i;
+
+ data = DIAG_DOMINANT;
+
+ A = new Float64Array( data.a );
+ B = new Float64Array( data.b );
+ C = new Float64Array( data.c );
+ D = new Float64Array( data.d );
+ IN = new Int32Array( data.in );
+
+ values = [
+ -1,
+ -2,
+ -3
+ ];
+
+ for ( i = 0; i < values.length; i++ ) {
+ t.throws( badValue( values[ i ] ), RangeError, 'throws an error when provided ' + values[ i ] );
+ }
+ t.end();
+
+ function badValue( value ) {
+ return function badValue() {
+ dlagtf( value, A, data.lambda, B, C, data.tol, D, IN );
+ };
+ }
+});
+
+tape( 'the function performs the `LU` factorization (diagonal dominant, no interchanges)', function test( t ) {
+ var expectedIn;
+ var expectedA;
+ var expectedB;
+ var expectedC;
+ var expectedD;
+ var data;
+ var info;
+ var IN;
+ var A;
+ var B;
+ var C;
+ var D;
+
+ data = DIAG_DOMINANT;
+
+ A = new Float64Array( data.a );
+ B = new Float64Array( data.b );
+ C = new Float64Array( data.c );
+ D = new Float64Array( data.d );
+ IN = new Int32Array( data.in );
+
+ expectedA = new Float64Array( data.a_out );
+ expectedB = new Float64Array( data.b_out );
+ expectedC = new Float64Array( data.c_out );
+ expectedD = new Float64Array( data.d_out );
+ expectedIn = new Int32Array( data.in_out );
+
+ info = dlagtf( data.N, A, data.lambda, B, C, data.tol, D, IN );
+ t.strictEqual( info, data.info_out, 'returns expected value' );
+ t.deepEqual( A, expectedA, 'returns expected value' );
+ t.deepEqual( B, expectedB, 'returns expected value' );
+ t.deepEqual( C, expectedC, 'returns expected value' );
+ t.deepEqual( D, expectedD, 'returns expected value' );
+ t.deepEqual( IN, expectedIn, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function performs the `LU` factorization (row interchanges)', function test( t ) {
+ var expectedIn;
+ var expectedA;
+ var expectedB;
+ var expectedC;
+ var expectedD;
+ var data;
+ var info;
+ var IN;
+ var A;
+ var B;
+ var C;
+ var D;
+
+ data = ROW_INTERCHANGE;
+
+ A = new Float64Array( data.a );
+ B = new Float64Array( data.b );
+ C = new Float64Array( data.c );
+ D = new Float64Array( data.d );
+ IN = new Int32Array( data.in );
+
+ expectedA = new Float64Array( data.a_out );
+ expectedB = new Float64Array( data.b_out );
+ expectedC = new Float64Array( data.c_out );
+ expectedD = new Float64Array( data.d_out );
+ expectedIn = new Int32Array( data.in_out );
+
+ info = dlagtf( data.N, A, data.lambda, B, C, data.tol, D, IN );
+ t.strictEqual( info, data.info_out, 'returns expected value' );
+ t.deepEqual( A, expectedA, 'returns expected value' );
+ t.deepEqual( B, expectedB, 'returns expected value' );
+ t.deepEqual( C, expectedC, 'returns expected value' );
+ t.deepEqual( D, expectedD, 'returns expected value' );
+ t.deepEqual( IN, expectedIn, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function performs the `LU` factorization (5x5 mixed pivoting)', function test( t ) {
+ var expectedIn;
+ var expectedA;
+ var expectedB;
+ var expectedC;
+ var expectedD;
+ var data;
+ var info;
+ var IN;
+ var A;
+ var B;
+ var C;
+ var D;
+
+ data = MIXED_PIVOTING;
+
+ A = new Float64Array( data.a );
+ B = new Float64Array( data.b );
+ C = new Float64Array( data.c );
+ D = new Float64Array( data.d );
+ IN = new Int32Array( data.in );
+
+ expectedA = new Float64Array( data.a_out );
+ expectedB = new Float64Array( data.b_out );
+ expectedC = new Float64Array( data.c_out );
+ expectedD = new Float64Array( data.d_out );
+ expectedIn = new Int32Array( data.in_out );
+
+ info = dlagtf( data.N, A, data.lambda, B, C, data.tol, D, IN );
+ t.strictEqual( info, data.info_out, 'returns expected value' );
+ t.deepEqual( A, expectedA, 'returns expected value' );
+ t.deepEqual( B, expectedB, 'returns expected value' );
+ t.deepEqual( C, expectedC, 'returns expected value' );
+ t.deepEqual( D, expectedD, 'returns expected value' );
+ t.deepEqual( IN, expectedIn, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function handles N=1 (non-singular)', function test( t ) {
+ var data;
+ var info;
+ var IN;
+ var A;
+
+ data = N_ONE;
+
+ A = new Float64Array( data.a );
+ IN = new Int32Array( data.in );
+
+ info = dlagtf( data.N, A, data.lambda, new Float64Array( 0 ), new Float64Array( 0 ), data.tol, new Float64Array( 0 ), IN ); // eslint-disable-line max-len
+ t.strictEqual( info, data.info_out, 'returns expected value' );
+ t.deepEqual( A, new Float64Array( data.a_out ), 'returns expected value' );
+ t.deepEqual( IN, new Int32Array( data.in_out ), 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function handles N=1 (singular, A[0] equals lambda)', function test( t ) {
+ var data;
+ var info;
+ var IN;
+ var A;
+
+ data = N_ONE_SINGULAR;
+
+ A = new Float64Array( data.a );
+ IN = new Int32Array( data.in );
+
+ info = dlagtf( data.N, A, data.lambda, new Float64Array( 0 ), new Float64Array( 0 ), data.tol, new Float64Array( 0 ), IN ); // eslint-disable-line max-len
+ t.strictEqual( info, data.info_out, 'returns expected value' );
+ t.deepEqual( A, new Float64Array( data.a_out ), 'returns expected value' );
+ t.deepEqual( IN, new Int32Array( data.in_out ), 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function handles zero sub-diagonal (no pivoting needed)', function test( t ) {
+ var expectedIn;
+ var expectedA;
+ var expectedB;
+ var expectedC;
+ var expectedD;
+ var data;
+ var info;
+ var IN;
+ var A;
+ var B;
+ var C;
+ var D;
+
+ data = ZERO_SUBDIAG;
+
+ A = new Float64Array( data.a );
+ B = new Float64Array( data.b );
+ C = new Float64Array( data.c );
+ D = new Float64Array( data.d );
+ IN = new Int32Array( data.in );
+
+ expectedA = new Float64Array( data.a_out );
+ expectedB = new Float64Array( data.b_out );
+ expectedC = new Float64Array( data.c_out );
+ expectedD = new Float64Array( data.d_out );
+ expectedIn = new Int32Array( data.in_out );
+
+ info = dlagtf( data.N, A, data.lambda, B, C, data.tol, D, IN );
+ t.strictEqual( info, data.info_out, 'returns expected value' );
+ t.deepEqual( A, expectedA, 'returns expected value' );
+ t.deepEqual( B, expectedB, 'returns expected value' );
+ t.deepEqual( C, expectedC, 'returns expected value' );
+ t.deepEqual( D, expectedD, 'returns expected value' );
+ t.deepEqual( IN, expectedIn, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function handles large diagonal dominance', function test( t ) {
+ var expectedIn;
+ var expectedA;
+ var expectedB;
+ var expectedC;
+ var expectedD;
+ var data;
+ var info;
+ var IN;
+ var A;
+ var B;
+ var C;
+ var D;
+
+ data = LARGE_DIAG;
+
+ A = new Float64Array( data.a );
+ B = new Float64Array( data.b );
+ C = new Float64Array( data.c );
+ D = new Float64Array( data.d );
+ IN = new Int32Array( data.in );
+
+ expectedA = new Float64Array( data.a_out );
+ expectedB = new Float64Array( data.b_out );
+ expectedC = new Float64Array( data.c_out );
+ expectedD = new Float64Array( data.d_out );
+ expectedIn = new Int32Array( data.in_out );
+
+ info = dlagtf( data.N, A, data.lambda, B, C, data.tol, D, IN );
+ t.strictEqual( info, data.info_out, 'returns expected value' );
+ t.deepEqual( A, expectedA, 'returns expected value' );
+ t.deepEqual( B, expectedB, 'returns expected value' );
+ t.deepEqual( C, expectedC, 'returns expected value' );
+ t.deepEqual( D, expectedD, 'returns expected value' );
+ t.deepEqual( IN, expectedIn, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function detects near-singular matrices', function test( t ) {
+ var expectedIn;
+ var expectedA;
+ var expectedB;
+ var expectedC;
+ var expectedD;
+ var data;
+ var info;
+ var IN;
+ var A;
+ var B;
+ var C;
+ var D;
+
+ data = NEAR_SINGULAR;
+
+ A = new Float64Array( data.a );
+ B = new Float64Array( data.b );
+ C = new Float64Array( data.c );
+ D = new Float64Array( data.d );
+ IN = new Int32Array( data.in );
+
+ expectedA = new Float64Array( data.a_out );
+ expectedB = new Float64Array( data.b_out );
+ expectedC = new Float64Array( data.c_out );
+ expectedD = new Float64Array( data.d_out );
+ expectedIn = new Int32Array( data.in_out );
+
+ info = dlagtf( data.N, A, data.lambda, B, C, data.tol, D, IN );
+ t.strictEqual( info, data.info_out, 'returns expected value' );
+ t.deepEqual( A, expectedA, 'returns expected value' );
+ t.deepEqual( B, expectedB, 'returns expected value' );
+ t.deepEqual( C, expectedC, 'returns expected value' );
+ t.deepEqual( D, expectedD, 'returns expected value' );
+ t.deepEqual( IN, expectedIn, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function leaves the input arrays unchanged when `N` is equal to zero', function test( t ) {
+ var expectedIn;
+ var expectedA;
+ var expectedB;
+ var expectedC;
+ var expectedD;
+ var data;
+ var info;
+ var IN;
+ var A;
+ var B;
+ var C;
+ var D;
+
+ data = DIAG_DOMINANT;
+
+ A = new Float64Array( data.a );
+ B = new Float64Array( data.b );
+ C = new Float64Array( data.c );
+ D = new Float64Array( data.d );
+ IN = new Int32Array( data.in );
+
+ expectedA = new Float64Array( data.a );
+ expectedB = new Float64Array( data.b );
+ expectedC = new Float64Array( data.c );
+ expectedD = new Float64Array( data.d );
+ expectedIn = new Int32Array( data.in );
+
+ info = dlagtf( 0, A, data.lambda, B, C, data.tol, D, IN );
+ t.strictEqual( info, 0, 'returns expected value' );
+ t.deepEqual( A, expectedA, 'returns expected value' );
+ t.deepEqual( B, expectedB, 'returns expected value' );
+ t.deepEqual( C, expectedC, 'returns expected value' );
+ t.deepEqual( D, expectedD, 'returns expected value' );
+ t.deepEqual( IN, expectedIn, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function handles early singularity detection (branches)', function test( t ) {
+ var expectedIn;
+ var expectedA;
+ var expectedB;
+ var expectedC;
+ var expectedD;
+ var info;
+ var IN;
+ var A;
+ var B;
+ var C;
+ var D;
+
+ // Case 1: First singularity detected at step k = 0
+ A = new Float64Array( [ 0.0, 2.0, 2.0 ] );
+ B = new Float64Array( [ 1.0, 1.0 ] );
+ C = new Float64Array( [ 0.0, 1.0 ] );
+ D = new Float64Array( [ 0.0 ] );
+ IN = new Int32Array( [ 0, 0, 0 ] );
+
+ expectedA = new Float64Array( [ 0.0, 2.0, 1.5 ] );
+ expectedB = new Float64Array( [ 1.0, 1.0 ] );
+ expectedC = new Float64Array( [ 0.0, 0.5 ] );
+ expectedD = new Float64Array( [ 0.0 ] );
+ expectedIn = new Int32Array( [ 0, 0, 1 ] );
+
+ info = dlagtf( 3, A, 0.0, B, C, 0.0001, D, IN );
+ t.strictEqual( info, 0, 'returns expected value' );
+ t.deepEqual( A, expectedA, 'returns expected value' );
+ t.deepEqual( B, expectedB, 'returns expected value' );
+ t.deepEqual( C, expectedC, 'returns expected value' );
+ t.deepEqual( D, expectedD, 'returns expected value' );
+ t.deepEqual( IN, expectedIn, 'returns expected value' );
+
+ // Case 2: Subsequent singularity detection skipped if already set
+ A = new Float64Array( [ 0.0, 0.0, 2.0, 2.0 ] );
+ B = new Float64Array( [ 1.0, 1.0, 1.0 ] );
+ C = new Float64Array( [ 0.0, 0.0, 1.0 ] );
+ D = new Float64Array( [ 0.0, 0.0 ] );
+ IN = new Int32Array( [ 0, 0, 0, 0 ] );
+
+ expectedA = new Float64Array( [ 0.0, 0.0, 2.0, 1.5 ] );
+ expectedB = new Float64Array( [ 1.0, 1.0, 1.0 ] );
+ expectedC = new Float64Array( [ 0.0, 0.0, 0.5 ] );
+ expectedD = new Float64Array( [ 0.0, 0.0 ] );
+ expectedIn = new Int32Array( [ 0, 0, 0, 1 ] );
+
+ info = dlagtf( 4, A, 0.0, B, C, 0.0001, D, IN );
+ t.strictEqual( info, 0, 'returns expected value' );
+ t.deepEqual( A, expectedA, 'returns expected value' );
+ t.deepEqual( B, expectedB, 'returns expected value' );
+ t.deepEqual( C, expectedC, 'returns expected value' );
+ t.deepEqual( D, expectedD, 'returns expected value' );
+ t.deepEqual( IN, expectedIn, 'returns expected value' );
+
+ t.end();
+});
diff --git a/lib/node_modules/@stdlib/lapack/base/dlagtf/test/test.js b/lib/node_modules/@stdlib/lapack/base/dlagtf/test/test.js
new file mode 100644
index 000000000000..70a90c4d5944
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlagtf/test/test.js
@@ -0,0 +1,82 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var tape = require( 'tape' );
+var proxyquire = require( 'proxyquire' );
+var IS_BROWSER = require( '@stdlib/assert/is-browser' );
+var dlagtf = require( './../lib' );
+
+
+// VARIABLES //
+
+var opts = {
+ 'skip': IS_BROWSER
+};
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+ t.ok( true, __filename );
+ t.strictEqual( typeof dlagtf, 'function', 'main export is a function' );
+ t.end();
+});
+
+tape( 'attached to the main export is a method providing an ndarray interface', function test( t ) {
+ t.strictEqual( typeof dlagtf.ndarray, 'function', 'method is a function' );
+ t.end();
+});
+
+tape( 'if a native implementation is available, the main export is the native implementation', opts, function test( t ) {
+ var dlagtf = proxyquire( './../lib', {
+ '@stdlib/utils/try-require': tryRequire
+ });
+
+ t.strictEqual( dlagtf, mock, 'returns expected value' );
+ t.end();
+
+ function tryRequire() {
+ return mock;
+ }
+
+ function mock() {
+ // Mock...
+ }
+});
+
+tape( 'if a native implementation is not available, the main export is a JavaScript implementation', opts, function test( t ) {
+ var dlagtf;
+ var main;
+
+ main = require( './../lib/dlagtf.js' );
+
+ dlagtf = proxyquire( './../lib', {
+ '@stdlib/utils/try-require': tryRequire
+ });
+
+ t.strictEqual( dlagtf, main, 'returns expected value' );
+ t.end();
+
+ function tryRequire() {
+ return new Error( 'Cannot find module' );
+ }
+});
diff --git a/lib/node_modules/@stdlib/lapack/base/dlagtf/test/test.ndarray.js b/lib/node_modules/@stdlib/lapack/base/dlagtf/test/test.ndarray.js
new file mode 100644
index 000000000000..ae0d6a40ffeb
--- /dev/null
+++ b/lib/node_modules/@stdlib/lapack/base/dlagtf/test/test.ndarray.js
@@ -0,0 +1,503 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var tape = require( 'tape' );
+var Float64Array = require( '@stdlib/array/float64' );
+var Int32Array = require( '@stdlib/array/int32' );
+var dlagtf = require( './../lib/ndarray.js' );
+
+
+// FIXTURES //
+
+var DIAG_DOMINANT = require( './fixtures/diag_dominant.json' );
+var ROW_INTERCHANGE = require( './fixtures/row_interchange.json' );
+var MIXED_PIVOTING = require( './fixtures/mixed_pivoting.json' );
+var LARGE_POSITIVE_STRIDE_1 = require( './fixtures/large_positive_stride_1.json' );
+var LARGE_POSITIVE_STRIDE_2 = require( './fixtures/large_positive_stride_2.json' );
+var POSITIVE_STRIDE_OFFSET_1 = require( './fixtures/positive_stride_offset_1.json' );
+var POSITIVE_STRIDE_OFFSET_2 = require( './fixtures/positive_stride_offset_2.json' );
+var NEGATIVE_STRIDES = require( './fixtures/negative_strides.json' );
+var MIXED_STRIDES = require( './fixtures/mixed_strides.json' );
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+ t.ok( true, __filename );
+ t.strictEqual( typeof dlagtf, 'function', 'main export is a function' );
+ t.end();
+});
+
+tape( 'the function has an arity of 18', function test( t ) {
+ t.strictEqual( dlagtf.length, 18, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function throws an error if provided a first argument which is less than zero', function test( t ) {
+ var values;
+ var data;
+ var IN;
+ var A;
+ var B;
+ var C;
+ var D;
+ var i;
+
+ data = DIAG_DOMINANT;
+
+ A = new Float64Array( data.a );
+ B = new Float64Array( data.b );
+ C = new Float64Array( data.c );
+ D = new Float64Array( data.d );
+ IN = new Int32Array( data.in );
+
+ values = [
+ -1,
+ -2,
+ -3
+ ];
+
+ for ( i = 0; i < values.length; i++ ) {
+ t.throws( badValue( values[ i ] ), RangeError, 'throws an error when provided ' + values[ i ] );
+ }
+ t.end();
+
+ function badValue( value ) {
+ return function badValue() {
+ dlagtf( value, A, data.strideA, data.offsetA, data.lambda, B, data.strideB, data.offsetB, C, data.strideC, data.offsetC, data.tol, D, data.strideD, data.offsetD, IN, data.strideIN, data.offsetIN ); // eslint-disable-line max-len
+ };
+ }
+});
+
+tape( 'the function performs the `LU` factorization (diagonal dominant, no interchanges)', function test( t ) {
+ var expectedIn;
+ var expectedA;
+ var expectedB;
+ var expectedC;
+ var expectedD;
+ var data;
+ var info;
+ var IN;
+ var A;
+ var B;
+ var C;
+ var D;
+
+ data = DIAG_DOMINANT;
+
+ A = new Float64Array( data.a );
+ B = new Float64Array( data.b );
+ C = new Float64Array( data.c );
+ D = new Float64Array( data.d );
+ IN = new Int32Array( data.in );
+
+ expectedA = new Float64Array( data.a_out );
+ expectedB = new Float64Array( data.b_out );
+ expectedC = new Float64Array( data.c_out );
+ expectedD = new Float64Array( data.d_out );
+ expectedIn = new Int32Array( data.in_out );
+
+ info = dlagtf( data.N, A, data.strideA, data.offsetA, data.lambda, B, data.strideB, data.offsetB, C, data.strideC, data.offsetC, data.tol, D, data.strideD, data.offsetD, IN, data.strideIN, data.offsetIN ); // eslint-disable-line max-len
+ t.strictEqual( info, data.info_out, 'returns expected value' );
+ t.deepEqual( A, expectedA, 'returns expected value' );
+ t.deepEqual( B, expectedB, 'returns expected value' );
+ t.deepEqual( C, expectedC, 'returns expected value' );
+ t.deepEqual( D, expectedD, 'returns expected value' );
+ t.deepEqual( IN, expectedIn, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function performs the `LU` factorization (row interchanges)', function test( t ) {
+ var expectedIn;
+ var expectedA;
+ var expectedB;
+ var expectedC;
+ var expectedD;
+ var data;
+ var info;
+ var IN;
+ var A;
+ var B;
+ var C;
+ var D;
+
+ data = ROW_INTERCHANGE;
+
+ A = new Float64Array( data.a );
+ B = new Float64Array( data.b );
+ C = new Float64Array( data.c );
+ D = new Float64Array( data.d );
+ IN = new Int32Array( data.in );
+
+ expectedA = new Float64Array( data.a_out );
+ expectedB = new Float64Array( data.b_out );
+ expectedC = new Float64Array( data.c_out );
+ expectedD = new Float64Array( data.d_out );
+ expectedIn = new Int32Array( data.in_out );
+
+ info = dlagtf( data.N, A, data.strideA, data.offsetA, data.lambda, B, data.strideB, data.offsetB, C, data.strideC, data.offsetC, data.tol, D, data.strideD, data.offsetD, IN, data.strideIN, data.offsetIN ); // eslint-disable-line max-len
+ t.strictEqual( info, data.info_out, 'returns expected value' );
+ t.deepEqual( A, expectedA, 'returns expected value' );
+ t.deepEqual( B, expectedB, 'returns expected value' );
+ t.deepEqual( C, expectedC, 'returns expected value' );
+ t.deepEqual( D, expectedD, 'returns expected value' );
+ t.deepEqual( IN, expectedIn, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function performs the `LU` factorization (5x5 mixed pivoting)', function test( t ) {
+ var expectedIn;
+ var expectedA;
+ var expectedB;
+ var expectedC;
+ var expectedD;
+ var data;
+ var info;
+ var IN;
+ var A;
+ var B;
+ var C;
+ var D;
+
+ data = MIXED_PIVOTING;
+
+ A = new Float64Array( data.a );
+ B = new Float64Array( data.b );
+ C = new Float64Array( data.c );
+ D = new Float64Array( data.d );
+ IN = new Int32Array( data.in );
+
+ expectedA = new Float64Array( data.a_out );
+ expectedB = new Float64Array( data.b_out );
+ expectedC = new Float64Array( data.c_out );
+ expectedD = new Float64Array( data.d_out );
+ expectedIn = new Int32Array( data.in_out );
+
+ info = dlagtf( data.N, A, data.strideA, data.offsetA, data.lambda, B, data.strideB, data.offsetB, C, data.strideC, data.offsetC, data.tol, D, data.strideD, data.offsetD, IN, data.strideIN, data.offsetIN ); // eslint-disable-line max-len
+ t.strictEqual( info, data.info_out, 'returns expected value' );
+ t.deepEqual( A, expectedA, 'returns expected value' );
+ t.deepEqual( B, expectedB, 'returns expected value' );
+ t.deepEqual( C, expectedC, 'returns expected value' );
+ t.deepEqual( D, expectedD, 'returns expected value' );
+ t.deepEqual( IN, expectedIn, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function supports providing positive strides', function test( t ) {
+ var expectedIn;
+ var expectedA;
+ var expectedB;
+ var expectedC;
+ var expectedD;
+ var data;
+ var info;
+ var IN;
+ var A;
+ var B;
+ var C;
+ var D;
+
+ data = LARGE_POSITIVE_STRIDE_1;
+
+ A = new Float64Array( data.a );
+ B = new Float64Array( data.b );
+ C = new Float64Array( data.c );
+ D = new Float64Array( data.d );
+ IN = new Int32Array( data.in );
+
+ expectedA = new Float64Array( data.a_out );
+ expectedB = new Float64Array( data.b_out );
+ expectedC = new Float64Array( data.c_out );
+ expectedD = new Float64Array( data.d_out );
+ expectedIn = new Int32Array( data.in_out );
+
+ info = dlagtf( data.N, A, data.strideA, data.offsetA, data.lambda, B, data.strideB, data.offsetB, C, data.strideC, data.offsetC, data.tol, D, data.strideD, data.offsetD, IN, data.strideIN, data.offsetIN ); // eslint-disable-line max-len
+ t.strictEqual( info, data.info_out, 'returns expected value' );
+ t.deepEqual( A, expectedA, 'returns expected value' );
+ t.deepEqual( B, expectedB, 'returns expected value' );
+ t.deepEqual( C, expectedC, 'returns expected value' );
+ t.deepEqual( D, expectedD, 'returns expected value' );
+ t.deepEqual( IN, expectedIn, 'returns expected value' );
+
+ data = LARGE_POSITIVE_STRIDE_2;
+
+ A = new Float64Array( data.a );
+ B = new Float64Array( data.b );
+ C = new Float64Array( data.c );
+ D = new Float64Array( data.d );
+ IN = new Int32Array( data.in );
+
+ expectedA = new Float64Array( data.a_out );
+ expectedB = new Float64Array( data.b_out );
+ expectedC = new Float64Array( data.c_out );
+ expectedD = new Float64Array( data.d_out );
+ expectedIn = new Int32Array( data.in_out );
+
+ info = dlagtf( data.N, A, data.strideA, data.offsetA, data.lambda, B, data.strideB, data.offsetB, C, data.strideC, data.offsetC, data.tol, D, data.strideD, data.offsetD, IN, data.strideIN, data.offsetIN ); // eslint-disable-line max-len
+ t.strictEqual( info, data.info_out, 'returns expected value' );
+ t.deepEqual( A, expectedA, 'returns expected value' );
+ t.deepEqual( B, expectedB, 'returns expected value' );
+ t.deepEqual( C, expectedC, 'returns expected value' );
+ t.deepEqual( D, expectedD, 'returns expected value' );
+ t.deepEqual( IN, expectedIn, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function supports providing negative strides', function test( t ) {
+ var expectedIn;
+ var expectedA;
+ var expectedB;
+ var expectedC;
+ var expectedD;
+ var data;
+ var info;
+ var IN;
+ var A;
+ var B;
+ var C;
+ var D;
+
+ data = NEGATIVE_STRIDES;
+
+ A = new Float64Array( data.a );
+ B = new Float64Array( data.b );
+ C = new Float64Array( data.c );
+ D = new Float64Array( data.d );
+ IN = new Int32Array( data.in );
+
+ expectedA = new Float64Array( data.a_out );
+ expectedB = new Float64Array( data.b_out );
+ expectedC = new Float64Array( data.c_out );
+ expectedD = new Float64Array( data.d_out );
+ expectedIn = new Int32Array( data.in_out );
+
+ info = dlagtf( data.N, A, data.strideA, data.offsetA, data.lambda, B, data.strideB, data.offsetB, C, data.strideC, data.offsetC, data.tol, D, data.strideD, data.offsetD, IN, data.strideIN, data.offsetIN ); // eslint-disable-line max-len
+ t.strictEqual( info, data.info_out, 'returns expected value' );
+ t.deepEqual( A, expectedA, 'returns expected value' );
+ t.deepEqual( B, expectedB, 'returns expected value' );
+ t.deepEqual( C, expectedC, 'returns expected value' );
+ t.deepEqual( D, expectedD, 'returns expected value' );
+ t.deepEqual( IN, expectedIn, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function supports providing mixed strides', function test( t ) {
+ var expectedIn;
+ var expectedA;
+ var expectedB;
+ var expectedC;
+ var expectedD;
+ var data;
+ var info;
+ var IN;
+ var A;
+ var B;
+ var C;
+ var D;
+
+ data = MIXED_STRIDES;
+
+ A = new Float64Array( data.a );
+ B = new Float64Array( data.b );
+ C = new Float64Array( data.c );
+ D = new Float64Array( data.d );
+ IN = new Int32Array( data.in );
+
+ expectedA = new Float64Array( data.a_out );
+ expectedB = new Float64Array( data.b_out );
+ expectedC = new Float64Array( data.c_out );
+ expectedD = new Float64Array( data.d_out );
+ expectedIn = new Int32Array( data.in_out );
+
+ info = dlagtf( data.N, A, data.strideA, data.offsetA, data.lambda, B, data.strideB, data.offsetB, C, data.strideC, data.offsetC, data.tol, D, data.strideD, data.offsetD, IN, data.strideIN, data.offsetIN ); // eslint-disable-line max-len
+ t.strictEqual( info, data.info_out, 'returns expected value' );
+ t.deepEqual( A, expectedA, 'returns expected value' );
+ t.deepEqual( B, expectedB, 'returns expected value' );
+ t.deepEqual( C, expectedC, 'returns expected value' );
+ t.deepEqual( D, expectedD, 'returns expected value' );
+ t.deepEqual( IN, expectedIn, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function supports providing index offsets', function test( t ) {
+ var expectedIn;
+ var expectedA;
+ var expectedB;
+ var expectedC;
+ var expectedD;
+ var data;
+ var info;
+ var IN;
+ var A;
+ var B;
+ var C;
+ var D;
+
+ data = POSITIVE_STRIDE_OFFSET_1;
+
+ A = new Float64Array( data.a );
+ B = new Float64Array( data.b );
+ C = new Float64Array( data.c );
+ D = new Float64Array( data.d );
+ IN = new Int32Array( data.in );
+
+ expectedA = new Float64Array( data.a_out );
+ expectedB = new Float64Array( data.b_out );
+ expectedC = new Float64Array( data.c_out );
+ expectedD = new Float64Array( data.d_out );
+ expectedIn = new Int32Array( data.in_out );
+
+ info = dlagtf( data.N, A, data.strideA, data.offsetA, data.lambda, B, data.strideB, data.offsetB, C, data.strideC, data.offsetC, data.tol, D, data.strideD, data.offsetD, IN, data.strideIN, data.offsetIN ); // eslint-disable-line max-len
+ t.strictEqual( info, data.info_out, 'returns expected value' );
+ t.deepEqual( A, expectedA, 'returns expected value' );
+ t.deepEqual( B, expectedB, 'returns expected value' );
+ t.deepEqual( C, expectedC, 'returns expected value' );
+ t.deepEqual( D, expectedD, 'returns expected value' );
+ t.deepEqual( IN, expectedIn, 'returns expected value' );
+
+ data = POSITIVE_STRIDE_OFFSET_2;
+
+ A = new Float64Array( data.a );
+ B = new Float64Array( data.b );
+ C = new Float64Array( data.c );
+ D = new Float64Array( data.d );
+ IN = new Int32Array( data.in );
+
+ expectedA = new Float64Array( data.a_out );
+ expectedB = new Float64Array( data.b_out );
+ expectedC = new Float64Array( data.c_out );
+ expectedD = new Float64Array( data.d_out );
+ expectedIn = new Int32Array( data.in_out );
+
+ info = dlagtf( data.N, A, data.strideA, data.offsetA, data.lambda, B, data.strideB, data.offsetB, C, data.strideC, data.offsetC, data.tol, D, data.strideD, data.offsetD, IN, data.strideIN, data.offsetIN ); // eslint-disable-line max-len
+ t.strictEqual( info, data.info_out, 'returns expected value' );
+ t.deepEqual( A, expectedA, 'returns expected value' );
+ t.deepEqual( B, expectedB, 'returns expected value' );
+ t.deepEqual( C, expectedC, 'returns expected value' );
+ t.deepEqual( D, expectedD, 'returns expected value' );
+ t.deepEqual( IN, expectedIn, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function leaves the input arrays unchanged when `N` is equal to zero', function test( t ) {
+ var expectedIn;
+ var expectedA;
+ var expectedB;
+ var expectedC;
+ var expectedD;
+ var data;
+ var info;
+ var IN;
+ var A;
+ var B;
+ var C;
+ var D;
+
+ data = DIAG_DOMINANT;
+
+ A = new Float64Array( data.a );
+ B = new Float64Array( data.b );
+ C = new Float64Array( data.c );
+ D = new Float64Array( data.d );
+ IN = new Int32Array( data.in );
+
+ expectedA = new Float64Array( data.a );
+ expectedB = new Float64Array( data.b );
+ expectedC = new Float64Array( data.c );
+ expectedD = new Float64Array( data.d );
+ expectedIn = new Int32Array( data.in );
+
+ info = dlagtf( 0, A, data.strideA, data.offsetA, data.lambda, B, data.strideB, data.offsetB, C, data.strideC, data.offsetC, data.tol, D, data.strideD, data.offsetD, IN, data.strideIN, data.offsetIN ); // eslint-disable-line max-len
+ t.strictEqual( info, 0, 'returns expected value' );
+ t.deepEqual( A, expectedA, 'returns expected value' );
+ t.deepEqual( B, expectedB, 'returns expected value' );
+ t.deepEqual( C, expectedC, 'returns expected value' );
+ t.deepEqual( D, expectedD, 'returns expected value' );
+ t.deepEqual( IN, expectedIn, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function handles early singularity detection (branches)', function test( t ) {
+ var expectedIn;
+ var expectedA;
+ var expectedB;
+ var expectedC;
+ var expectedD;
+ var info;
+ var IN;
+ var A;
+ var B;
+ var C;
+ var D;
+
+ // Case 1: First singularity detected at step k = 0
+ A = new Float64Array( [ 0.0, 2.0, 2.0 ] );
+ B = new Float64Array( [ 1.0, 1.0 ] );
+ C = new Float64Array( [ 0.0, 1.0 ] );
+ D = new Float64Array( [ 0.0 ] );
+ IN = new Int32Array( [ 0, 0, 0 ] );
+
+ expectedA = new Float64Array( [ 0.0, 2.0, 1.5 ] );
+ expectedB = new Float64Array( [ 1.0, 1.0 ] );
+ expectedC = new Float64Array( [ 0.0, 0.5 ] );
+ expectedD = new Float64Array( [ 0.0 ] );
+ expectedIn = new Int32Array( [ 0, 0, 1 ] );
+
+ info = dlagtf( 3, A, 1, 0, 0.0, B, 1, 0, C, 1, 0, 0.0001, D, 1, 0, IN, 1, 0 );
+ t.strictEqual( info, 0, 'returns expected value' );
+ t.deepEqual( A, expectedA, 'returns expected value' );
+ t.deepEqual( B, expectedB, 'returns expected value' );
+ t.deepEqual( C, expectedC, 'returns expected value' );
+ t.deepEqual( D, expectedD, 'returns expected value' );
+ t.deepEqual( IN, expectedIn, 'returns expected value' );
+
+ // Case 2: Subsequent singularity detection skipped if already set
+ A = new Float64Array( [ 0.0, 0.0, 2.0, 2.0 ] );
+ B = new Float64Array( [ 1.0, 1.0, 1.0 ] );
+ C = new Float64Array( [ 0.0, 0.0, 1.0 ] );
+ D = new Float64Array( [ 0.0, 0.0 ] );
+ IN = new Int32Array( [ 0, 0, 0, 0 ] );
+
+ expectedA = new Float64Array( [ 0.0, 0.0, 2.0, 1.5 ] );
+ expectedB = new Float64Array( [ 1.0, 1.0, 1.0 ] );
+ expectedC = new Float64Array( [ 0.0, 0.0, 0.5 ] );
+ expectedD = new Float64Array( [ 0.0, 0.0 ] );
+ expectedIn = new Int32Array( [ 0, 0, 0, 1 ] );
+
+ info = dlagtf( 4, A, 1, 0, 0.0, B, 1, 0, C, 1, 0, 0.0001, D, 1, 0, IN, 1, 0 );
+ t.strictEqual( info, 0, 'returns expected value' );
+ t.deepEqual( A, expectedA, 'returns expected value' );
+ t.deepEqual( B, expectedB, 'returns expected value' );
+ t.deepEqual( C, expectedC, 'returns expected value' );
+ t.deepEqual( D, expectedD, 'returns expected value' );
+ t.deepEqual( IN, expectedIn, 'returns expected value' );
+
+ t.end();
+});