#编程语言#Julia 是一款为满足高性能数值分析和计算科学的需要而设计的编程语言。
Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equation...
Pandas port for C# and F#, data analysis tool, process multi-dim array in DataFrame.
Wide-Integer implements a generic C++ template for uint128_t, uint256_t, uint512_t, uint1024_t, etc.
开源Go语言数值算法库(An open numerical library purely based on Go programming language)
Repository for the Parallel Ice Sheet Model (PISM)
NRPy+, BlackHoles@Home, SENRv2, and the NRPy+ Jupyter Tutorial: Python-Based Code Generation for Numerical Relativity... and Beyond!
#算法刷题#☂️ Implementations of mathematical functions, formulas and concepts
Solve Fractional Differential Equations using high performance numerical methods
String helper methods and an inflector
Setuptools-based `setup.py` template for Cython projects
#算法刷题#FractionalCalculus.jl: A Julia package for high performance, comprehensive and high precision numerical fractional calculus computing.
A single file VOF fluid solver implementation in Taichi.
Forlab is a Fortran module that provides a lot of functions for scientific computing mostly inspired by Matlab and Python's package NumPy.
A numerical integrator written in Elixir for the solution of sets of non-stiff ordinary differential equations (ODEs).
