Imperial-MATH50003 / MATH50003NumericalAnalysis2021-22Links
Notes and course material for MATH50003 Numerical Analysis (2021–2022)
☆51Updated 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:
- Implicit Runge-Kutta Gauss-Legendre 16th order (Julia)☆28Updated 2 weeks ago
- FractionalCalculus.jl: A Julia package for high performance, comprehensive and high precision numerical fractional calculus computing.☆40Updated 2 months ago
- High-level model-order reduction to automate the acceleration of large-scale simulations☆41Updated 2 weeks ago
- A collection of B-spline tools in Julia☆62Updated last month
- A Julia package for Deep Backwards Stochastic Differential Equation (Deep BSDE) and Feynman-Kac methods to solve high-dimensional PDEs wi…☆82Updated 2 months ago
- Workshop materials for training in scientific computing and scientific machine learning☆39Updated 2 months ago
- ☆54Updated 4 months ago
- A Julia library for hierarchical matrices☆48Updated 2 months ago
- Package for approximation of solutions to matrix differential equations or time-dependent matrices via dynamically evolving low rank deco…☆18Updated last year
- Supports approximating functions and solving differential equations on various higher dimensional domains such as disks and triangles☆20Updated this week
- Fast matrix multiplication and division for Toeplitz matrices in Julia☆71Updated 2 months ago
- Julia for High Performance Computing Course @ HLRS☆52Updated 2 years ago
- ☆38Updated 4 years ago
- Taylor-mode automatic differentiation for higher-order derivatives☆80Updated last month
- ☆55Updated 3 years ago
- ParameterEstimation.jl is a Julia package for estimating parameters and initial conditions of ODE models given measurement data.☆30Updated last week
- Easy-to-use Spherical Harmonics, based on FastTransforms.jl☆24Updated last year
- ☆43Updated last week
- Families of polynomials☆24Updated 7 months ago
- Fast uncertainty quantification for scientific machine learning (SciML) and differential equations☆69Updated last week
- Examples for using ApproFun.jl☆25Updated 9 months ago
- A collection of Jupyter notebooks with simple examples on how to use Makie☆38Updated 4 years ago
- fast multidimensional Chebyshev interpolation and regression in Julia☆74Updated 9 months ago
- Basic numerical integration routines for presampled data.☆66Updated 4 months ago
- Richardson extrapolation in Julia☆64Updated 2 months ago
- A Julia package for working with spherical harmonic expansions☆25Updated this week
- Interactive demonstrator of eigenvectors and singular vectors☆24Updated 3 years ago
- This is a Julia package of nonlinear solvers. These codes are used in my book, Solving Nonlinear Equations with Iterative Methods: Solver…☆121Updated last week
- A library for building differential equations arising from physical problems for physics-informed and scientific machine learning (SciML)☆51Updated 2 months ago
- Direct solution of large sparse systems of linear algebraic equations in pure Julia☆42Updated 2 months ago