ivp-rs 0.1.0

A Rust library for solving initial value problems (IVPs) for ordinary differential equations (ODEs).

Documentation | Examples | GitHub | Crates.io

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A library of numerical methods for solving initial value problems (IVPs)
for the Rust programming language.

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This library provides a pure rust implementation of SciPy's solve_ivp function with slight modifications to the API to better fit Rust's design patterns.

Currently implemented solvers:

• DOP853: An 8th order Dormand-Prince method with step-size control and dense output.
• DOPRI5: A 5th order Dormand-Prince method with step-size control and dense output.
• RK4: The classic 4th order Runge-Kutta method with fixed step-size and cubic Hermite interpolation for dense output.
• RK23: A 3rd order Runge-Kutta method with 2nd order error estimate for step-size control.
• Radau: A 5th order implicit Runge-Kutta method of Radau IIA type with step-size control and dense output.
• BDF: A variable-order (1 to 5) Backward Differentiation Formula method for stiff ODEs with adaptive step-size control and dense output.

Note: This crate uses dynamically sized arrays (Vec) internally to provide flexibility and to simplify Python bindings. For workloads that require maximal performance with statically sized arrays (compile-time sizes), consider the differential-equations project, which provides additional solvers and features (SDEs, DDEs, DAEs). This crate targets users seeking a Rust implementation of SciPy's solve_ivp with a familiar API.