algorithmsbooks / algforopt-notebooksLinks
Jupyter notebooks associated with the Algorithms for Optimization textbook
☆469Updated 3 years ago
Alternatives and similar repositories for algforopt-notebooks
Users that are interested in algforopt-notebooks are comparing it to the libraries listed below
Sorting:
- 18.335 - Introduction to Numerical Methods course☆544Updated 3 months ago
- These are companion notebooks written in Julia and Python for: "Introduction to Applied Linear Algebra" by Boyd and Vandenberghe.☆339Updated 4 years ago
- Tutorials and information on the Julia language for MIT numerical-computation courses.☆777Updated 6 months ago
- 18.S096 - Applications of Scientific Machine Learning☆311Updated 3 years ago
- Algorithms for Decision Making textbook☆537Updated 2 weeks ago
- 18.330 Introduction to Numerical Analysis☆372Updated last year
- Extra materials for *Fundamentals of Numerical Computation* by Driscoll and Braun.☆166Updated 2 months ago
- Harvard Applied Math 205: Code Examples☆88Updated 3 years ago
- MIT IAP short course: Matrix Calculus for Machine Learning and Beyond☆523Updated 6 months ago
- Errata for Algorithms for Optimization book☆71Updated 3 months ago
- Julia code for the book Numerical Linear Algebra☆126Updated 2 years ago
- Julia code for the book Reinforcement Learning An Introduction☆327Updated last year
- 18.303 - Linear PDEs course☆145Updated last year
- Materials for MIT 6.S083 / 18.S190: Computational thinking with Julia + application to the COVID-19 pandemic☆510Updated 2 years ago
- Codes for the book "Julia Programming for Operations Research"☆196Updated 4 years ago
- 18.S096 three-week course at MIT☆265Updated 2 years ago
- ☆144Updated last year
- All typeset code blocks from the book, Algorithms for Decision Making.☆42Updated 2 years ago
- A template for textbooks in the same style as Algorithms for Optimization☆369Updated last year
- ☆102Updated 2 months ago
- Decision making under uncertainty using the POMDPs.jl ecosystem taught by Robert Moss☆254Updated last year
- 18.065/18.0651: Matrix Methods in Data Analysis, Signal Processing, and Machine Learning☆172Updated 9 months ago
- ☆74Updated 8 years ago
- 18.336 - Fast Methods for Partial Differential and Integral Equations☆185Updated last year
- IJulia notebooks for AA228/CS238 Decision Making Under Uncertainty course at Stanford University☆141Updated 2 years ago
- Labs for the Foundations of Applied Mathematics curriculum.☆223Updated 8 months ago
- ☆1,090Updated 2 years ago
- Interactive visualization of Gaussian processes☆169Updated 2 years ago
- Problems from Algorithms for Decision Making☆53Updated 6 months ago
- Materials for a short course on convex optimization.☆348Updated 2 months ago