leeyngdo / Numerical-Linear-AlgebraLinks
Own solutions for exercises and MATLAB example codes for "Numerical Linear Algebra" by Lloyd N. Trefethen and David Bau III, 1997
☆94Updated last year
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:
- Solutions to exercises in Numerical Linear Algebra by Trefethen and Bau.☆105Updated 6 years ago
- Material for the "Probabilistic Machine Learning" Course at the University of Tübingen, Summer Term 2023☆195Updated 2 years ago
- Harvard Applied Math 205: Code Examples☆94Updated 3 years ago
- Additional exercises and data for EE364a. No solutions; for public consumption.☆805Updated 5 months ago
- Python & Matlab code for the figures from the book "Learning Theory from First Principles" by Francis Bach☆132Updated last year
- A collection of awesome mathematics and computer science courses☆136Updated 11 months ago
- Solutions to the problems in the book: Linear Algebra and Learning from Data by Gilbert Strang, MIT☆299Updated 3 years ago
- 🦍 Stanford CS236 : Deep Generative Models☆157Updated 6 years ago
- ☆22Updated 2 years ago
- Unofficial implementation in Python porting of the book "Algorithms for Optimization" (2019) MIT Press by By Mykel J. Kochenderfer and Ti…☆52Updated 2 years ago
- A curated list of awesome Scientific Machine Learning (SciML) papers, resources and software☆75Updated last year
- 🌀 Stanford CS 228 - Probabilistic Graphical Models☆90Updated 6 years ago
- A curated list of awesome Physics Informed Neural Network, projects and communities.☆36Updated 3 weeks ago
- Solution Manual for Roman Vershynin's High-Dimensional Probability☆26Updated last year
- ☆89Updated 2 years ago
- NYU Course Notes & Resources☆240Updated last year
- ☆114Updated last year
- Graduate course on Machine Learning☆125Updated 6 years ago
- Repository for the course Probabilistic Machine Learning at Tübingen University☆26Updated 5 years ago
- Solutions and simulations from the Essentials of Stochastic Processes by Richard Durrett☆37Updated 3 years ago
- ☆54Updated last year
- Contains important notes/definitions/propositions from the book Algebra, Topology, Differential Calculus, and Optimization Theory for Com…☆52Updated 5 years ago
- ☆240Updated 2 years ago
- lecture slides for Deepmind x UCL 2021 reinforcement learning course available in YouTbue☆79Updated last year
- Methods in numerical analysis. Includes: Lagrange interpolation, Chebyshev polynomials for optimal node spacing, iterative techniques to …☆47Updated 7 years ago
- ☆24Updated last year
- 18.336 - Fast Methods for Partial Differential and Integral Equations☆186Updated last year
- Source code for Bayesian Optimization in Action, published by Manning☆104Updated 2 years ago
- Matlab codes accompanying Numerical Methods for Stochastic Partial Differential Equations with White Noise☆26Updated 8 years ago
- This is a course material for numerical optimization to be taught in summer 2020☆41Updated 5 years ago