desh2608 / numerical-linear-algebraLinks
Solutions to exercises in Numerical Linear Algebra by Trefethen and Bau.
☆104Updated 6 years ago
Alternatives and similar repositories for numerical-linear-algebra
Users that are interested in numerical-linear-algebra are comparing it to the libraries listed below
Sorting:
- Own solutions for exercises and MATLAB example codes for "Numerical Linear Algebra" by Lloyd N. Trefethen and David Bau III, 1997☆95Updated last year
- Harvard Applied Math 205: Code Examples☆98Updated 3 years ago
- 18.336 - Fast Methods for Partial Differential and Integral Equations☆191Updated last week
- Materials and syllabus for Cornell ORIE 7391, Faster: Algorithmic Ideas for Speeding Up Optimization☆25Updated 3 years ago
- ☆242Updated 3 years ago
- Matlab Notebook for visualizing random matrix theory results and their applications to machine learning☆135Updated 2 years ago
- Python Algorithms for Randomized Linear Algebra☆57Updated 2 years ago
- 18.065/18.0651: Matrix Methods in Data Analysis, Signal Processing, and Machine Learning☆182Updated last year
- Python & Matlab code for the figures from the book "Learning Theory from First Principles" by Francis Bach☆137Updated last year
- ☆127Updated 8 years ago
- Material for the "Probabilistic Machine Learning" Course at the University of Tübingen, Summer Term 2023☆200Updated 2 years ago
- 18.303 - Linear PDEs course☆148Updated 2 years ago
- Matlab codes accompanying Numerical Methods for Stochastic Partial Differential Equations with White Noise☆28Updated 8 years ago
- ☆91Updated 2 years ago
- Web site of the Computational Optimal Transport book☆373Updated 2 years ago
- Julia code for the book Numerical Linear Algebra☆128Updated 3 years ago
- 18.335 - Introduction to Numerical Methods course☆571Updated 2 months ago
- Sampling with gradient-based Markov Chain Monte Carlo approaches☆109Updated last year
- Notes for the Numerics of Machine Learning Lecture Course at the University of Tübingen☆226Updated last year
- A curated list of awesome Scientific Machine Learning (SciML) papers, resources and software☆78Updated 2 years ago
- ☆151Updated last week
- Unofficial implementation in Python porting of the book "Algorithms for Optimization" (2019) MIT Press by By Mykel J. Kochenderfer and Ti…☆53Updated 3 years ago
- Optimal Transport for Dummies - Code, slides and article☆33Updated 8 years ago
- Deterministic particle dynamics for simulating Fokker-Planck probability flows☆26Updated 2 years ago
- Repo to the paper "Lie Point Symmetry Data Augmentation for Neural PDE Solvers"☆57Updated 2 years ago
- Python codes for Introduction to Computational Stochastic PDE☆49Updated 2 months ago
- 🌀 Stanford CS 228 - Probabilistic Graphical Models☆92Updated 7 years ago
- Summer course on mathematical theory of deep learning☆54Updated 6 years ago
- Unbiased Deep Learning based Solvers for parametric PDEs☆11Updated 4 years ago
- ☆23Updated 2 years ago