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:
- 18.336 - Fast Methods for Partial Differential and Integral Equations☆189Updated last year
- Optimal Transport for Dummies - Code, slides and article☆33Updated 8 years ago
- Anderson accelerated Douglas-Rachford splitting☆29Updated 5 years ago
- N. Papadakis, G. Peyré, E. Oudet. Optimal Transport with Proximal Splitting. SIAM Journal on Imaging Sciences, 7(1), pp. 212–238, 2014.☆11Updated 9 years ago
- APPM 5630 at CU Boulder☆52Updated 5 months ago
- Globally Convergent Type-I Anderson Acceleration for Non-Smooth Fixed-Point Iterations☆21Updated 7 years ago
- A library of Krylov methods in pure Python☆64Updated 3 years ago
- [ICML 2022] Learning Efficient and Robust Ordinary Differential \\ Equations via Invertible Neural Networks☆10Updated 2 years ago
- Differentiable interface to FEniCS for JAX☆58Updated 4 years ago
- Differentiable interface to FEniCS/Firedrake for JAX using dolfin-adjoint/pyadjoint☆107Updated 2 years ago
- A Python implementation of Chebfun☆147Updated this week
- Differentiation through cone programs☆114Updated last week
- This code is no longer maintained. The codebase has been moved to https://github.com/scikit-learn-contrib/skglm. This repository only ser…☆18Updated 3 years ago
- Sample implementations of proximal operators☆194Updated 12 years ago
- A simple python module for approximating any sympy expression using the Taylor series and Chebyshev polynomials.☆25Updated 4 years ago
- Proximal algorithms made easy in Python☆59Updated 8 years ago
- Extra materials for *Fundamentals of Numerical Computation* by Driscoll and Braun.☆172Updated 4 months ago
- Python Algorithms for Randomized Linear Algebra☆57Updated 2 years ago
- A matlab implementation of forward automatic differentiation with operator overloading and sparse jacobians☆43Updated 10 months ago
- Turning SymPy expressions into JAX functions☆45Updated 4 years ago
- A pure Matlab implementation of L-BFGS-B (LBFGSB)☆62Updated last year
- Python interface for SCS☆45Updated last week
- Fast linear algebra in MATLAB☆70Updated 2 years ago
- A suite of stochastic optimization methods for solving the empirical risk minimization problem.☆17Updated 6 years ago
- Practical tools for quantifying how well a sample approximates a target distribution☆28Updated 5 years ago
- ☆13Updated 4 years ago
- Proximal algorithms for nonsmooth optimization in Julia☆140Updated 7 months ago
- A library to define abstract linear operators, and associated algebra and matrix-free algorithms, that works with pyTorch Tensors.☆16Updated last month
- A JAX-based research framework for writing differentiable numerical simulators with arbitrary discretizations☆131Updated last week
- python package implementing a multivariate Horner scheme for efficiently evaluating multivariate polynomials☆30Updated 10 months ago