comp-physics / awesome-numerics
Resources for learning about numerical methods.
☆37Updated last year
Alternatives and similar repositories for awesome-numerics:
Users that are interested in awesome-numerics are comparing it to the libraries listed below
- Ray Tracing in a week-end, implemented in Julia☆75Updated last year
- Fundamentals of Numerical Computation text, Julia version for the MATLAB (1st) edition.☆77Updated this week
- Linnea is an experimental tool for the automatic generation of optimized code for linear algebra problems.☆68Updated 3 years ago
- Core functions for the Julia (2nd) edition of the text Fundamentals of Numerical Computation, by Driscoll and Braun.☆103Updated 4 months ago
- This is a mirror of https://i10git.cs.fau.de/pycodegen/pystencils. Use the gitlab page to create issues and merge requests.☆40Updated 2 months ago
- an encyclopedia of finite element definitions☆57Updated this week
- Python package for computing and visualizing Lagrangian Descriptors in Dynamical Systems☆20Updated 3 years ago
- Fortran Library for numerical INTegration of differential equations☆45Updated last year
- Evaluate layer and volume potentials accurately. Solve integral equations.☆27Updated last month
- A framework for composing and simulating multiphysics systems☆61Updated 2 weeks ago
- Fused multiply-add (with a single rounding) for Python.☆20Updated 7 months ago
- GPU-friendly Small Non-Linear Solvers (SNLS)☆17Updated last week
- Compute multidimensional volumes and monomial integrals.☆22Updated last year
- Numerical Algorithms in C☆84Updated 12 years ago
- A Julia library of summation-by-parts (SBP) operators used in finite difference, Fourier pseudospectral, continuous Galerkin, and discont…☆103Updated this week
- A CPU- and GPU-friendly package for solving ordinary differential equations☆50Updated 2 weeks ago
- Notebook for my new solver book☆64Updated 5 months ago
- Modernized Minpack: for solving nonlinear equations and nonlinear least squares problems☆102Updated 8 months ago
- Repository for the codes in my upcoming book on Machine Learning☆10Updated 6 months ago
- The Toolkit for Adaptive Stochastic Modeling and Non-Intrusive ApproximatioN☆66Updated 5 months ago
- A derivative-free solver for general nonlinear optimization.☆47Updated 3 weeks ago
- TrixiParticles.jl: Particle-based multiphysics simulations in Julia☆45Updated this week
- Python-based Derivative-Free Optimizer for Least-Squares☆42Updated last month
- Python wrappers around fmmlib{2,3}d by Greengard/Gimbutas☆18Updated 2 weeks ago
- A Julia package to construct orthogonal polynomials, their quadrature rules, and use it with polynomial chaos expansions.☆120Updated 5 months ago
- Gridap drivers for geoscience applications☆36Updated last month
- Nonlinear eigenvalue problems in Julia: Iterative methods and benchmarks☆94Updated last year
- A collection of styles and helper functions for making nice plots with matplotlib☆19Updated last week
- ☆14Updated 3 years ago
- ETH course - Solving PDEs in parallel on GPUs☆127Updated 4 months ago