matlab-optim-derivatives
CommunityAudit MATLAB optimization derivatives
Authorirudik
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill helps debug MATLAB optimization functions by validating analytic derivatives against numerical approximations, ensuring accuracy and correct integration with solvers like KNITRO.
Core Features & Use Cases
- Derivative Validation: Compares computed gradients, Hessians, and Jacobians against finite-difference approximations.
- Solver Integration Check: Verifies that optimizer callbacks are correctly wired and expect the right data dimensions and order.
- Use Case: When a MATLAB optimization routine fails to converge or produces unexpected results, this Skill can pinpoint issues in the derivative calculations or their connection to the solver.
Quick Start
Use the matlab-optim-derivatives skill to audit the objective function gradient and Hessian for the optimization problem defined in 'my_optimization_script.m'.
Dependency Matrix
Required Modules
None requiredComponents
references
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: matlab-optim-derivatives Download link: https://github.com/irudik/repo-template/archive/main.zip#matlab-optim-derivatives Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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