add hess for RegularizedNLPModels

[MaxenceGollier]

Related: #81

[Copilot]

Pull request overview

This pull request adds hess method implementations for AbstractRegularizedNLPModel types to complement the existing hess_op method. The changes enable specialized subtypes (like the L2PenalizedProblem mentioned in the related PR #81) to dispatch custom Hessian implementations while maintaining consistent API behavior.

Changes:

• Added two hess method overloads that forward to the underlying smooth model, following the same pattern as the existing hess_op method
• Both methods only compute the Hessian of the smooth objective component, correctly handling the nonsmooth regularizer which doesn't have a classical Hessian

Comments suppressed due to low confidence (1)

src/types.jl:76

• Extra blank line. The codebase consistently uses single blank lines between function definitions and sections. Please remove one of the blank lines.

  if field == :name

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[codecov]

Codecov Report

❌ Patch coverage is 0% with 2 lines in your changes missing coverage. Please review.
✅ Project coverage is 76.78%. Comparing base (85de184) to head (8b8379a).
⚠️ Report is 21 commits behind head on main.

Files with missing lines	Patch %	Lines
src/types.jl	0.00%	2 Missing ⚠️

Additional details and impacted files

@@             Coverage Diff             @@
##             main      #87       +/-   ##
===========================================
- Coverage   99.18%   76.78%   -22.40%     
===========================================
  Files          11       19        +8     
  Lines         369      461       +92     
===========================================
- Hits          366      354       -12     
- Misses          3      107      +104     

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