ReddRadar
Agent skill
nonlinear-optimization-solver
Solve general nonlinear optimization problems
Install this agent skill to your Project
npx add-skill https://github.com/a5c-ai/babysitter/tree/main/library/specializations/domains/science/mathematics/skills/nonlinear-optimization-solver
Metadata
Additional technical details for this skill
- phase
- 6
- domain
- science
- category
- optimization
- specialization
- mathematics
SKILL.md
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
- Starting Point: Provide good initial guesses
- Gradient Information: Supply gradients when available
- Global vs Local: Choose global methods for multimodal problems
- Constraint Handling: Use appropriate constraint formulations
Tools/Libraries
- IPOPT
- KNITRO
- NLopt
- scipy.optimize
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