# Ode Solver Library

> Numerical methods for ordinary differential equations

- Skill: `a5c-ai/ode-solver-library` (Agent Skill)
- Install (CLI): `npx skillmds@latest add a5c-ai/ode-solver-library`
- Raw SKILL.md: https://api.skillmd.com/api/skills/a5c-ai/ode-solver-library/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: a5c-ai (https://skillmd.com/u/a5c-ai)
- Updated: 2026-09-09
- Page: https://skillmd.com/skills/a5c-ai/ode-solver-library

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# ODE Solver Library

## Purpose

Provides numerical methods and solvers for ordinary differential equations in mathematical modeling and dynamical systems analysis.

## Capabilities

- Runge-Kutta methods (explicit and implicit)
- Multistep methods (Adams-Bashforth, BDF)
- Stiff equation handling
- Adaptive step size control
- Event detection and root finding
- Sensitivity analysis

## Usage Guidelines

1. **Stiffness Assessment**: Determine if problem is stiff
2. **Method Selection**: Choose explicit or implicit methods accordingly
3. **Tolerance Setting**: Set appropriate error tolerances
4. **Event Handling**: Configure event detection for discontinuities

## Tools/Libraries

- SUNDIALS
- scipy.integrate
- DifferentialEquations.jl