ode-solver-library

# 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