r-barnes / MatrixForensicsLinks
Collection of Matrix/Linear Algebra Information
☆65Updated last year
Alternatives and similar repositories for MatrixForensics
Users that are interested in MatrixForensics are comparing it to the libraries listed below
Sorting:
- Source code for lecture notes☆149Updated last year
- Python interface for SCS☆43Updated last week
- Code of the Performance Estimation Toolbox (PESTO) whose aim is to ease the access to the PEP methodology for performing worst-case analy…☆54Updated last year
- ☆102Updated 2 months ago
- Various notes and solutions on Math and Physics (and Mathematical Physics)☆76Updated last year
- Differentiation through cone programs☆103Updated 2 weeks ago
- PEPit is a package enabling computer-assisted worst-case analyses of first-order optimization methods.☆88Updated this week
- Turning SymPy expressions into JAX functions☆45Updated 4 years ago
- Python-based Derivative-Free Optimization with Bound Constraints☆87Updated 11 months ago
- 18.303 - Linear PDEs course☆145Updated last year
- ☆118Updated 7 years ago
- Python Algorithms for Randomized Linear Algebra☆56Updated 2 years ago
- Folklore facts on probability distribution learning, testing, and whatever-ing☆265Updated last week
- Animation of the motion a double-pendulum. Both Julia and Python versions of the code are given.☆40Updated 4 years ago
- 18.335 - Introduction to Numerical Methods course☆548Updated 3 months ago
- Python & Matlab code for the figures from the book "Learning Theory from First Principles" by Francis Bach☆123Updated last year
- Making your benchmark of optimization algorithms simple and open☆267Updated 3 weeks ago
- NCAlgebra - Non Commutative Algebra Package for Mathematica☆173Updated last year
- 18.336 - Fast Methods for Partial Differential and Integral Equations☆185Updated last year
- 🏔️Optimization on Riemannian Manifolds in Julia☆376Updated this week
- ☆24Updated last year
- Probabilistic Numerics in Python.☆453Updated last month
- Lecture Notes on General Relativity, based on lectures by Dr. Frederic P. Schuller in 2015☆73Updated 4 years ago
- ☆143Updated 2 months ago
- MIT IAP short course: Matrix Calculus for Machine Learning and Beyond☆527Updated 6 months ago
- Riemannian Optimization Using JAX☆52Updated last year
- Important concepts in numerical linear algebra and related areas☆773Updated last year
- Numerical integration in arbitrary dimensions on the GPU using PyTorch / TF / JAX☆207Updated 3 weeks ago
- Prof. S. Boyd's LaTeX Templates☆13Updated 6 years ago
- Errata for Algorithms for Optimization book☆71Updated 4 months ago