vschaik / Conjugate-GradientLinks
Painless conjugate gradient notebooks
☆81Updated 6 months ago
Alternatives and similar repositories for Conjugate-Gradient
Users that are interested in Conjugate-Gradient are comparing it to the libraries listed below
Sorting:
- Python trust-region subproblem solvers for nonlinear optimization☆30Updated 3 weeks ago
- Harvard Applied Math 225: Code Examples☆29Updated 3 years ago
- Harvard Applied Math 205: Code Examples☆98Updated 3 years ago
- Solver-in-the-Loop: Learning from Differentiable Physics to Interact with Iterative PDE-Solvers☆171Updated 3 years ago
- Powell's Derivative-Free Optimization solvers.☆108Updated 9 months ago
- Python Algorithms for Randomized Linear Algebra☆57Updated 2 years ago
- This is a course material for numerical optimization to be taught in summer 2020☆41Updated 5 years ago
- Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations☆69Updated 5 years ago
- Spectral Methods in Python☆61Updated last week
- ATHENA: Advanced Techniques for High dimensional parameter spaces to Enhance Numerical Analysis☆56Updated 2 years ago
- Code repository for "Learned Turbulence Modelling with Differentiable Fluid Solvers"☆41Updated 3 years ago
- Convolutional Solvers for Partial Differential Equations☆27Updated 5 years ago
- Fast linear algebra in MATLAB☆70Updated 2 years ago
- A pure Matlab implementation of L-BFGS-B (LBFGSB)☆62Updated last year
- Fast interpolative decompositions in Python☆10Updated 5 years ago
- Numerical Recipes in C++, that actually compiles☆89Updated 3 years ago
- A short course in pseudospectral collocation methods for wave equations, with implementations in Python.☆63Updated 4 months ago
- A parallel kernel-independent FMM library for particle and volume potentials☆59Updated this week
- Course material for Cornell CS 6210 for Fall 2019☆25Updated 6 years ago
- Library for computing with multidimensional functions☆54Updated 2 years ago
- Modified Cholesky factorization☆23Updated 6 years ago
- Repository for the course Numerical Methods for Partial Differential Equations at ETH Zurich.☆41Updated last month
- Analysis of initial value ODE solvers☆82Updated last year
- A library of Krylov methods in pure Python☆66Updated 3 years ago
- Chebfun examples collection☆72Updated 2 years ago
- Efficient and Scalable Physics-Informed Deep Learning and Scientific Machine Learning on top of Tensorflow for multi-worker distributed c…☆117Updated 3 years ago
- PyTorch-FEniCS interface☆106Updated 4 years ago
- Lightweight and scalable framework for Reinforcement Learning☆129Updated 2 years ago
- Differentiable interface to FEniCS/Firedrake for JAX using dolfin-adjoint/pyadjoint☆107Updated 2 years ago
- PINNs-JAX, Physics-informed Neural Networks (PINNs) implemented in JAX.☆58Updated last year