cvxgrp / aaLinks
Anderson Acceleration
☆20Updated 3 years ago
Alternatives and similar repositories for aa
Users that are interested in aa are comparing it to the libraries listed below
Sorting:
- Optimal Transport for Dummies - Code, slides and article☆33Updated 8 years ago
- Anderson accelerated Douglas-Rachford splitting☆29Updated 4 years ago
- 18.336 - Fast Methods for Partial Differential and Integral Equations☆185Updated last year
- N. Papadakis, G. Peyré, E. Oudet. Optimal Transport with Proximal Splitting. SIAM Journal on Imaging Sciences, 7(1), pp. 212–238, 2014.☆11Updated 8 years ago
- Fast linear algebra in MATLAB☆68Updated 2 years ago
- A library of Krylov methods in pure Python☆63Updated 2 years ago
- [ICML 2022] Learning Efficient and Robust Ordinary Differential \\ Equations via Invertible Neural Networks☆10Updated 2 years ago
- A Python implementation of Chebfun☆141Updated last week
- Differentiable interface to FEniCS/Firedrake for JAX using dolfin-adjoint/pyadjoint☆97Updated last year
- Python Algorithms for Randomized Linear Algebra☆55Updated 2 years ago
- A suite of stochastic optimization methods for solving the empirical risk minimization problem.☆16Updated 5 years ago
- Globally Convergent Type-I Anderson Acceleration for Non-Smooth Fixed-Point Iterations☆21Updated 6 years ago
- Implementation of Nesterov and Polyak's (2006) cubic regularization algorithm and Cartis et al's (2011) adaptive cubic regularization alg…☆18Updated 3 years ago
- Fast interpolative decompositions in Python☆10Updated 4 years ago
- Differentiation through cone programs☆102Updated 2 weeks ago
- Differentiable interface to FEniCS for JAX☆56Updated 4 years ago
- MATLAB codes for matrix exponential times a vector.☆32Updated 5 years ago
- The git repository for the TT-Toolbox☆200Updated 5 months ago
- TMAC: A Toolbox of Modern Async-Parallel, Coordinate, Splitting, and Stochastic Methods☆48Updated 8 years ago
- 18.303 - Linear PDEs course☆145Updated last year
- Python wrapper for the sparse QR decomposition in SuiteSparseQR.☆36Updated 5 months ago
- A simple python module for approximating any sympy expression using the Taylor series and Chebyshev polynomials.☆24Updated 3 years ago
- MATLAB implementation of the Scalable Semidefinite Programming☆26Updated last year
- Course repository for Cornell CS 6210, Fall 2016☆18Updated 8 years ago
- A matlab implementation of forward automatic differentiation with operator overloading and sparse jacobians☆43Updated 5 months ago
- 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
- Efficient forward- and reverse-mode sparse Jacobians using Jax☆64Updated last month
- ☆103Updated last month
- APPM 5630 at CU Boulder☆50Updated 2 months ago
- Practical tools for quantifying how well a sample approximates a target distribution☆27Updated 5 years ago