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Nonlinear optimization solver

Skill a5c-ai/babysitter/library/specializations/domains/science/mathematics/skills/nonlinear-optimization-solver

Solve general nonlinear optimization problemsFrom its SKILL.md

Install
npx -y skills add a5c-ai/babysitter --skill nonlinear-optimization-solver

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

SKILL.md

1.3 KB, 156 tokens by cl100k_base, as published. Nobody here has run it

Nonlinear Optimization Solver

Purpose

Provides capabilities for solving general nonlinear optimization problems including constrained and unconstrained formulations.

Capabilities

  • Gradient-based methods (BFGS, L-BFGS, CG)
  • Newton and quasi-Newton methods
  • Interior point methods
  • Sequential quadratic programming (SQP)
  • Global optimization (basin-hopping, differential evolution)
  • Constraint handling

Usage Guidelines

  1. Starting Point: Provide good initial guesses
  2. Gradient Information: Supply gradients when available
  3. Global vs Local: Choose global methods for multimodal problems
  4. Constraint Handling: Use appropriate constraint formulations

Tools/Libraries

  • IPOPT
  • KNITRO
  • NLopt
  • scipy.optimize

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

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