tobydriscoll / fnc-extrasLinks
Extra materials for *Fundamentals of Numerical Computation* by Driscoll and Braun.
☆172Updated 4 months ago
Alternatives and similar repositories for fnc-extras
Users that are interested in fnc-extras are comparing it to the libraries listed below
Sorting:
- Core functions for the Julia (2nd) edition of the text Fundamentals of Numerical Computation, by Driscoll and Braun.☆110Updated last year
- Julia code for the book Numerical Linear Algebra☆126Updated 2 years ago
- 18.303 - Linear PDEs course☆147Updated 2 years ago
- Nonlinear Dynamics: A concise introduction interlaced with code☆254Updated 5 months ago
- Fundamentals of Numerical Computation text, Julia version for the MATLAB (1st) edition.☆90Updated last week
- A package for Gaussian random field generation in Julia☆79Updated 3 months ago
- Start solving PDEs in Julia with Gridap.jl☆138Updated last week
- Solving differential equations in parallel on GPUs - JuliaCon 2021 workshop☆95Updated 2 years ago
- Lecture slides and homework assignments for MA5233 Computational Mathematics at the National University of Singapore.☆38Updated 5 years ago
- Repository for Common Ground C25☆104Updated last year
- Notebook for my new solver book☆64Updated last month
- Website for JuliaDynamics and various resources, like notebooks, videos, etc.☆71Updated last year
- Advanced Topics in Scientific Computing with Julia☆93Updated 6 years ago
- Surrogate modeling and optimization for scientific machine learning (SciML)☆361Updated 3 weeks ago
- A scientific machine learning (SciML) wrapper for the FEniCS Finite Element library in the Julia programming language☆106Updated 3 weeks ago
- Nonlinear eigenvalue problems in Julia: Iterative methods and benchmarks☆97Updated last year
- A statistical toolbox for diffusion processes and stochastic differential equations. Named after the Brownian Bridge.☆112Updated 3 years ago
- GPU Programming with Julia - course at the Swiss National Supercomputing Centre (CSCS), ETH Zurich☆259Updated 3 years ago
- High accuracy derivatives, estimated via numerical finite differences (formerly FDM.jl)☆311Updated 3 months ago
- A Julia package to construct orthogonal polynomials, their quadrature rules, and use it with polynomial chaos expansions.☆124Updated last month
- 18.S096 - Applications of Scientific Machine Learning☆312Updated 3 years ago
- A Deep Introduction to Julia for Data Science and Scientific Computing☆255Updated 4 years ago
- Extension functionality which uses Stan.jl, DynamicHMC.jl, and Turing.jl to estimate the parameters to differential equations and perform…☆125Updated 4 months ago
- The Toolkit for Adaptive Stochastic Modeling and Non-Intrusive ApproximatioN☆72Updated 2 weeks ago
- 18.336 - Fast Methods for Partial Differential and Integral Equations☆187Updated last year
- ☆67Updated 6 years ago
- Survey of the packages of the Julia ecosystem for solving partial differential equations☆287Updated last month
- An introductory 101 series to get to know the power of Julialang☆127Updated last year
- Lecture notes for M3M6 Methods of Mathematical Physics☆44Updated 5 years ago
- Lecture notes and course material for M3M6 Applied Complex Analysis at Imperial College☆37Updated 5 years ago