Binary-Search-2 Solution

[indrasena483]

No description provided.

[super30admin]

Find the First and Last Position of an Element in given Sorted Array (Problem1.java)

Strengths:

• Clean and correct implementation of the binary search algorithm
• Good separation of concerns with separate methods for first and last position searches
• Proper handling of edge cases (empty array, target not found)
• Good use of comments explaining the approach
• Correctly optimized the last position search to start from the first position

Areas for Improvement:

• Minor code formatting inconsistencies (extra blank lines in binarySearchLast method)
• The variable mid is declared outside the while loop but only used within it - could be declared inside for better practice
• Could add input validation comments for clarity

The solution is functionally equivalent to the reference solution and demonstrates a solid understanding of binary search applied to finding range boundaries.

VERDICT: PASS

---

Find the Minimum Element in a Rotated Array(sorted) (Problem2.java)

Strengths:

1. Well-documented code with comprehensive comments explaining the approach
2. Clean and readable implementation following standard binary search patterns
3. Correct use of low + (high - low) / 2 to prevent potential integer overflow
4. Proper handling of boundary conditions in the pivot check
5. Includes metadata about complexity and Leetcode execution status

Areas for Improvement:

1. Consider using <= instead of < in the base case check (nums[low] < nums[high]) for consistency with edge cases where low equals high. While this doesn't affect correctness with unique elements, it's a minor refinement.
2. The fallback return value of -1 could be more descriptive, though this is never reached in practice.

Overall, this is a solid implementation that demonstrates good understanding of the binary search algorithm applied to rotated sorted arrays.

VERDICT: PASS

---

Find the Peak Element (Problem3.java)

Strengths:

• Clean implementation of binary search for peak element finding
• Excellent documentation with time/space complexity and approach explanation
• Proper handling of boundary conditions
• The comment explaining the logic is clear and helpful

Areas for Improvement:

• The approach description mentions checking "if the right half of the array is sorted or not," but this is actually not the logic used in the code. The code uses a simpler approach based on comparing nums[mid] with nums[mid + 1]. This comment could be misleading.
• Consider adding a brief comment explaining why returning low at the end is valid (when low == high).

VERDICT: PASS