mitmath / 18303Links
18.303 - Linear PDEs course
☆145Updated last year
Alternatives and similar repositories for 18303
Users that are interested in 18303 are comparing it to the libraries listed below
Sorting:
- 18.336 - Fast Methods for Partial Differential and Integral Equations☆185Updated last year
- Julia code for the book Numerical Linear Algebra☆127Updated 2 years ago
- 18.S096 - Applications of Scientific Machine Learning☆311Updated 3 years ago
- Extra materials for *Fundamentals of Numerical Computation* by Driscoll and Braun.☆171Updated 3 months ago
- ☆104Updated last week
- ☆67Updated 6 years ago
- Core functions for the Julia (2nd) edition of the text Fundamentals of Numerical Computation, by Driscoll and Braun.☆110Updated last year
- 18.335 - Introduction to Numerical Methods course☆562Updated 3 weeks ago
- GPU Programming with Julia - course at the Swiss National Supercomputing Centre (CSCS), ETH Zurich☆257Updated 3 years ago
- Repository for the Universal Differential Equations for Scientific Machine Learning paper, describing a computational basis for high perf…☆233Updated 2 years ago
- Survey of the packages of the Julia ecosystem for solving partial differential equations☆287Updated 2 weeks ago
- A scientific machine learning (SciML) wrapper for the FEniCS Finite Element library in the Julia programming language☆106Updated 3 months ago
- Solving differential equations in parallel on GPUs - JuliaCon 2021 workshop☆95Updated 2 years ago
- Fundamentals of Numerical Computation text, Julia version for the MATLAB (1st) edition.☆88Updated 3 weeks ago
- Repository for Common Ground C25☆103Updated 11 months ago
- Lecture notes for M3M6 Methods of Mathematical Physics☆43Updated 5 years ago
- Start solving PDEs in Julia with Gridap.jl☆136Updated last month
- Lecture slides and homework assignments for MA5233 Computational Mathematics at the National University of Singapore.☆38Updated 4 years ago
- Notebook for my new solver book☆65Updated 2 weeks ago
- ETH course - Solving PDEs in parallel on GPUs I Fall 2025☆134Updated last week
- A package for Gaussian random field generation in Julia☆79Updated 2 months ago
- Scientific machine learning (SciML) benchmarks, AI for science, and (differential) equation solvers. Covers Julia, Python (PyTorch, Jax),…☆334Updated last week
- 18.S096 three-week course at MIT☆267Updated 2 years ago
- Julia package for solving singular integral equations☆64Updated last year
- Harvard Applied Math 205: Code Examples☆93Updated 3 years ago
- Documentation for the DiffEq differential equations and scientific machine learning (SciML) ecosystem☆317Updated last month
- Julia package for orthogonal polynomial transforms☆279Updated last month
- Tools for building fast, hackable, pseudospectral partial differential equation solvers on periodic domains☆212Updated 3 weeks ago
- Solvers for stochastic differential equations which connect with the scientific machine learning (SciML) ecosystem☆305Updated 3 weeks ago
- 18.337 - Parallel Computing and Scientific Machine Learning☆244Updated 2 years ago