diffsol

Crates.iodiffsol
lib.rsdiffsol
version
sourcesrc
created_at2024-02-20 13:19:35.773893
updated_at2024-12-11 15:46:14.479933
descriptionA library for solving ordinary differential equations (ODEs) in Rust.
homepage
repositoryhttps://github.com/martinjrobins/diffsol
max_upload_size
id1146390
Cargo.toml error:TOML parse error at line 18, column 1 | 18 | autolib = false | ^^^^^^^ unknown field `autolib`, expected one of `name`, `version`, `edition`, `authors`, `description`, `readme`, `license`, `repository`, `homepage`, `documentation`, `build`, `resolver`, `links`, `default-run`, `default_dash_run`, `rust-version`, `rust_dash_version`, `rust_version`, `license-file`, `license_dash_file`, `license_file`, `licenseFile`, `license_capital_file`, `forced-target`, `forced_dash_target`, `autobins`, `autotests`, `autoexamples`, `autobenches`, `publish`, `metadata`, `keywords`, `categories`, `exclude`, `include`
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Martin Robinson (martinjrobins)

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README

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DiffSol

Diffsol is a library for solving ordinary differential equations (ODEs) or semi-explicit differential algebraic equations (DAEs) in Rust. You can use it out-of-the-box with vectors and matrices from the nalgebra or faer crates, or you can implement your own types by implementing the various vector and matrix traits in diffsol.

Features

DiffSol implements the following solvers:

  • A variable order Backwards Difference Formulae (BDF) solver, suitable for stiff problems and singular mass matrices.
  • A Singly Diagonally Implicit Runge-Kutta (SDIRK or ESDIRK) solver, suitable for moderately stiff problems and singular mass matrices. You can use your own butcher tableau or use one of the provided (tr_bdf2 or esdirk34).

All solvers feature:

  • adaptive step-size control to given tolerances,
  • dense output,
  • event handling,
  • stepping to specific times,
  • numerical quadrature of an optional output function over time
  • forward sensitivity analysis,
  • backwards or adjoint sensitivity analysis,

For comparison, the BDF solvers are similar to MATLAB's ode15s solver, the bdf solver in SciPy's solve_ivp function, or the BDF solver in SUNDIALS. The ESDIRK solver using the provided tr_bdf2 tableau is similar to MATLAB's ode23t solver.

Users can specify the equations to solve in the following ODE form, either using closures or the DiffSL Domain Specific Language (DSL):

M \frac{dy}{dt} = f(t, y, p)

where $M$ is a (possibly singular) mass matrix, $y$ is the state vector, $t$ is the time, $p$ is a vector of parameters, and $f$ is the right-hand side function. The mass matrix $M$ is optional (assumed to be the identity matrix if not provided).

Installation

See instructions on the crates.io page.

Usage

For more documentation and examples, see the API documentation.

Commit count: 325

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