Linear operators for discretizations of differential equations and scientific machine learning (SciML)
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Updated
Jun 15, 2023 - Julia
Linear operators for discretizations of differential equations and scientific machine learning (SciML)
ExaDG - High-Order Discontinuous Galerkin for the Exa-Scale
Modular and scalable computational imaging in Python with GPU/out-of-core computing.
PyTorch implementation of the Hessian-free optimizer
MFMG is an open-source library implementing matrix-free multigrid methods.
Jeremy L Thompson PhD dissertation
C++, R and Python package for the Synthetic MR imaging program symr. For the R and python programs, see the R and python branches respectively.
Iterative matrix-free eigensolver (Davidson-Liu algorithm) with ndarray
A library to build up lazily evaluated expressions of linear transforms for efficient scientific computing. To cite this Original Software Publication: https://www.sciencedirect.com/science/article/pii/S2352711022000218
Matrix-free implementation of accelerated projected gradient descent for large-scale non-negative least-squares problems.
Practical session on implementing probabilistic linear solvers at the Probabilistic Numerics Spring School 2024
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