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awesome-computational-mathematics

A curated list of tools, frameworks, libraries, and educational resources for computational mathematics.
https://github.com/awesomelistsio/awesome-computational-mathematics

Last synced: 4 days ago
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General Resources
- What is Computational Mathematics? - An overview of computational mathematics and its applications.
- Numerical Recipes - A comprehensive resource for numerical methods and algorithms.
- The SIAM Community - The Society for Industrial and Applied Mathematics.
Symbolic Computation
- SymPy - A Python library for symbolic mathematics, including calculus, algebra, and equation solving.
- Maxima - An open-source computer algebra system for symbolic computation.
- Mathematica - A powerful platform for symbolic computation and advanced mathematics.
- Maple - A symbolic computation software with a focus on engineering and scientific applications.
Numerical Methods
- SciPy - A Python library for numerical integration, optimization, and linear algebra.
- GNU Scientific Library (GSL) - A library for numerical computing in C and C++.
- SUNDIALS - A suite of solvers for ordinary differential equations (ODEs) and nonlinear systems.
Optimization
- COIN-OR - A collection of open-source tools for mathematical optimization.
- CVXPY - A Python library for convex optimization.
- Gurobi - A high-performance solver for linear and nonlinear programming.
- Pyomo - A Python-based optimization modeling framework.
Matrix Computation
- LAPACK - A library for linear algebra, supporting matrix factorizations and solutions.