Ode solver library
Skill a5c-ai/babysitter/library/specializations/domains/science/mathematics/skills/ode-solver-library
Numerical methods for ordinary differential equationsFrom its SKILL.md
npx -y skills add a5c-ai/babysitter --skill ode-solver-libraryAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
SKILL.md
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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
- Stiffness Assessment: Determine if problem is stiff
- Method Selection: Choose explicit or implicit methods accordingly
- Tolerance Setting: Set appropriate error tolerances
- Event Handling: Configure event detection for discontinuities
Tools/Libraries
- SUNDIALS
- scipy.integrate
- DifferentialEquations.jl
What ships with it
Read from the repository
Just SKILL.md. No reference files, no scripts.