ReddRadar
Agent skill
ode-solver-library
Numerical methods for ordinary differential equations
Install this agent skill to your Project
npx add-skill https://github.com/a5c-ai/babysitter/tree/main/library/specializations/domains/science/mathematics/skills/ode-solver-library
Metadata
Additional technical details for this skill
- phase
- 6
- domain
- science
- category
- numerical-analysis
- specialization
- mathematics
SKILL.md
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
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