mini-ode 0.0.2

A minimalistic ODE solvers library built on top of PyTorch
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A minimalistic ODE solvers library built on top of PyTorch

Supported methods

Solver Method Purpose / Use Case Implicit Adaptive step
solve_euler Euler method Simple and fast, good for teaching and very basic problems. no no
solve_rk4 Fourth Order Runge-Kutta (RK4) Widely used general-purpose solver with fixed step size. no no
solve_implicit_euler Implicit Euler method Suitable for stiff or ill-conditioned problems. yes no
solve_glrk4 Gauss-Legendre Runge-Kutta (Order 4) High-precision solver for stiff or ill-conditioned problems. yes no
solve_rkf45 Runge-Kutta-Fehlberg 4(5) Adaptive step size, balances efficiency and accuracy. no yes
solve_row1 First Order Rosenbrock-Wanner (ROW1) Method Efficient alternative to Implicit Euler for stiff systems. semi no

Examples

Notebook example.ipynb has few examples of usage of mini-ode solvers.

Building Rust crate

In order to build Rust crate go to mini-ode/ directory and run command:

cargo build

Building Python package

Python package can only be built in conda environment or in python virtual environment. In order to build the project activate conda environment or python virtual environment. Then, go to mini-ode-python/ directory and run command:

LIBTORCH_USE_PYTORCH=1 maturin develop

Maturin will build the python package and install it in local environment.