There are 21 repositories under numerical-analysis topic.
Powerful modern math library for PHP: Features descriptive statistics and regressions; Continuous and discrete probability distributions; Linear algebra with matrices and vectors, Numerical analysis; special mathematical functions; Algebra
C++ DataFrame for statistical, Financial, and ML analysis -- in modern C++ using native types and contiguous memory storage
:sunglasses: Curated list of awesome software for numerical analysis and scientific computing
General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python
Density-functional toolkit
Numerical Analysis Implementations in Various Languages
Comprehensive automatic differentiation in C++
A minimal Stable Fluids inspired fluid solver with Python and NumPy.
Computing reachable states of dynamical systems in Julia
The All ▲lgorithms documentation website.
Escrita colaborativa de recursos educacionais abertos sobre cálculo numérico.
Introduction to Python: Numerical Analysis for Engineers and Scientist. In 2017, Python became the world's most popular programming language. This course covers the basic syntax, linear algebra, plotting, and more to prepare students for solving numerical problems with Python.
Numerical Analysis code from the Oscar Veliz YouTube Channel
Python notebooks for Numerical Analysis
Fatou sets in Julia (Fractals, Newton basins, Mandelbrot)
What impact does floating point precision have on Mandelbrot set calculations?
C++ Matrix -- High performance and accurate (e.g. edge cases) matrix math library with expression template arithmetic operators
Meta.Numerics is library for advanced numerical computing on the .NET platform. It offers an object-oriented API for statistical analysis, advanced functions, Fourier transforms, numerical integration and optimization, and matrix algebra.
:monocle_face: Matlab Samples :alien: keep updating
Numerical methods implementation in Python.
Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)
Python-based Derivative-Free Optimization with Bound Constraints
Learning some numerical linear algebra.
A tool for debugging and assessing floating point precision and reproducibility.
Data science and numerical computing with Julia
Learn how to solve complex engineering mechanics problems using Python 3 and the industry's best practices.
Open Source DSA notebooks
🔨 用Python+Numpy+Pytorch实现《数值分析》(Timothy Sauer著) 的所有算法。
Slides/notes and Jupyter notebook demos for an introductory course of numerical analysis/scientific computing