Multivariable calculus in pure rust

ParaMonte: Parallel Monte Carlo and Machine Learning Library for Python, MATLAB, Fortran, C++, C.

Directory of Fortran codes on GitHub, arranged by topic

A collection of Generic Ada packages for basic numerical analysis

Numerical methods are a collection of techniques used to find approximate solutions to mathematical problems that cannot be solved exactly. These methods are essential for tackling complex equations and models in various fields such as engineering, physics, and finance.

Project on numerical computation for the dynamics of mechanical systems. Simulation of particle, rigid body and Multibody systems.

Numerical Methods in SciPy

Package to visualize quadrature methods

Python library for arbitrary-precision floating-point arithmetic

A general-purpose numerical integro-differential equation solver

Rust Scientific Libary. ODE and DAE (Runge-Kutta) solvers. Special functions (Bessel, Elliptic, Beta, Gamma, Erf). Linear algebra. Sparse solvers (MUMPS, UMFPACK). Probability distributions. Tensor calculus.

A numerical analysis crate for Rust.

Rust numeric library with R, MATLAB & Python syntax

Implementation of the 12 steps approach to the Navier-Stokes equations, essential for simulating fluid dynamics.

A common interface for quadrature and numerical integration for the SciML scientific machine learning organization

repo for masterthesis on monte carlo for linear ODEs

VILTRUM: Varied Integration Layouts for arbiTRary integrals in a Unified Manner - A C++17 header-only library that provides a set of numerical integration routines

One- and multi-dimensional adaptive integration routines for the Julia language

pure-Julia multidimensional h-adaptive integration

Numba-accelerated Pythonic implementation of MPDATA with examples in Python, Julia and Matlab