nonlinear-optimization-solver

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Solve general nonlinear optimization problems

General

What this skill does


# 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

Files: 1

Size: 1.0 KB

Complexity: 8/100

Category: General

Source: https://github.com/a5c-ai/babysitter/tree/main/library/specializations/domains/science/mathematics/skills/nonlinear-optimization-solver

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