fncbook / FundamentalsNumericalComputation.jl
Core functions for the Julia (2nd) edition of the text Fundamentals of Numerical Computation, by Driscoll and Braun.
☆98Updated last week
Related projects ⓘ
Alternatives and complementary repositories for FundamentalsNumericalComputation.jl
- Fundamentals of Numerical Computation text, Julia version for the MATLAB (1st) edition.☆54Updated last week
- A style guide for stylish Julia developers☆216Updated 6 months ago
- This is a Julia package of nonlinear solvers. These codes are used in my book, Solving Nonlinear Equations with Iterative Methods: Solver…☆115Updated 3 weeks ago
- High accuracy derivatives, estimated via numerical finite differences (formerly FDM.jl)☆298Updated 4 months ago
- Automatic Finite Difference PDE solving with Julia SciML☆162Updated this week
- Repository for Common Ground C25☆93Updated this week
- Fast non-allocating calculations of gradients, Jacobians, and Hessians with sparsity support☆253Updated last month
- Multi-threaded BLAS-like library that provides pure Julia matrix multiplication☆232Updated 3 months ago
- A scientific machine learning (SciML) wrapper for the FEniCS Finite Element library in the Julia programming language☆98Updated 2 months ago
- LinearSolve.jl: High-Performance Unified Interface for Linear Solvers in Julia. Easily switch between factorization and Krylov methods, a…☆248Updated this week
- Start solving PDEs in Julia with Gridap.jl☆124Updated last month
- ETH course - Solving PDEs in parallel on GPUs☆119Updated this week
- GPU-acceleration routines for DifferentialEquations.jl and the broader SciML scientific machine learning ecosystem☆285Updated 3 months ago
- Almost trivial distributed parallelization of stencil-based GPU and CPU applications on a regular staggered grid☆162Updated last week
- Algebraic Multigrid in Julia☆117Updated 5 months ago
- GPU Programming with Julia - course at the Swiss National Supercomputing Centre (CSCS), ETH Zurich☆245Updated 2 years ago
- Fast derivative evaluation☆118Updated last week
- Julia package for solving singular integral equations☆62Updated this week
- High-performance and differentiation-enabled nonlinear solvers (Newton methods), bracketed rootfinding (bisection, Falsi), with sparsity …☆239Updated this week
- Solution of nonlinear multiphysics partial differential equation systems using the Voronoi finite volume method☆204Updated this week
- A common interface for quadrature and numerical integration for the SciML scientific machine learning organization☆226Updated 2 months ago
- A Julia Basket of Hand-Picked Krylov Methods☆357Updated this week
- Solvers for stochastic differential equations which connect with the scientific machine learning (SciML) ecosystem☆251Updated this week
- Survey of the packages of the Julia ecosystem for solving partial differential equations☆256Updated 3 months ago
- Intel MKL linear algebra backend for Julia☆208Updated last month
- A Julia library of summation-by-parts (SBP) operators used in finite difference, Fourier pseudospectral, continuous Galerkin, and discont…☆102Updated this week
- Julia package for orthogonal polynomial transforms☆264Updated this week
- Generic numerical linear algebra in Julia☆147Updated last week
- Solving differential equations in parallel on GPUs - JuliaCon 2021 workshop☆92Updated 11 months ago
- AllocCheck☆221Updated last month