Imperial-MATH50003 / MATH50003NumericalAnalysis2021-22Links
Notes and course material for MATH50003 Numerical Analysis (2021–2022)
☆50Updated last year
Alternatives and similar repositories for MATH50003NumericalAnalysis2021-22
Users that are interested in MATH50003NumericalAnalysis2021-22 are comparing it to the libraries listed below
Sorting:
- FractionalCalculus.jl: A Julia package for high performance, comprehensive and high precision numerical fractional calculus computing.☆39Updated 2 months ago
- Implicit Runge-Kutta Gauss-Legendre 16th order (Julia)☆28Updated 3 months ago
- A collection of B-spline tools in Julia☆59Updated 3 months ago
- A Julia package for Deep Backwards Stochastic Differential Equation (Deep BSDE) and Feynman-Kac methods to solve high-dimensional PDEs wi…☆80Updated 6 months ago
- High-level model-order reduction to automate the acceleration of large-scale simulations☆39Updated 2 weeks ago
- Supports approximating functions and solving differential equations on various higher dimensional domains such as disks and triangles☆18Updated last month
- No need to train, he's a smooth operator☆44Updated 7 months ago
- Solver for two-dimensional conservation equations using the finite volume method in Julia.☆45Updated 6 months ago
- Julia for High Performance Computing Course @ HLRS☆52Updated 2 years ago
- A collection of Jupyter notebooks with simple examples on how to use Makie☆38Updated 4 years ago
- Workshop materials for training in scientific computing and scientific machine learning☆39Updated last year
- Optimization framework for nonlinear, gradient-based constrained, sparse optimization problems.☆29Updated 3 weeks ago
- ☆19Updated 7 months ago
- Taylor-mode automatic differentiation for higher-order derivatives☆79Updated 3 weeks ago
- Automates steady and unsteady adjoints (general solvers and ODEs respectively). Forward and reverse mode algorithmic differentiation arou…☆28Updated 3 weeks ago
- Fast uncertainty quantification for scientific machine learning (SciML) and differential equations☆69Updated last month
- ☆38Updated last week
- A Julia library for hierarchical matrices☆46Updated 2 months ago
- julia package providing an interface for ODE-solvers written in Fortran☆28Updated last year
- Introduction to Scientific Programming and Machine Learning with Julia☆52Updated 9 months ago
- ☆54Updated 3 years ago
- Symbolic-Numeric Neural DAEs and Universal Differential Equations for Automating Scientific Machine Learning (SciML)☆31Updated last week
- https://pretalx.com/juliacon2024/talk/NTQZJJ/☆26Updated 8 months ago
- Direct solution of large sparse systems of linear algebraic equations in pure Julia☆42Updated last month
- Basic parallel algorithms for Julia☆21Updated 3 years ago
- Affine Invariant Markov Chain Monte Carlo (MCMC) Ensemble sampler☆32Updated 8 months ago
- A library of systems of partial differential equations, as defined with ModelingToolkit.jl in Julia☆28Updated 11 months ago
- Easy scientific machine learning (SciML) parameter estimation with pre-built loss functions☆60Updated 5 months ago
- ☆20Updated last month
- ☆53Updated 2 weeks ago