This package contains a data structure that wraps a matrix of matrices or factorizations and acts like the matrix resulting from concatenating the input matrices without allocating further memory.
MIT License
Fun with indices (and functions on them)
Julia package for Schur decomposition of matrices with generic element types
AllocCheck
Julia package for hierarchical matrices
Factorization of Symmetric Matrices
Divide and Conquer Linear Algebra
A pure Julia translation of the Arpack library for eigenvalues and eigenvectors but for any numer...
TensorOperations.jl compatible fast contractor for Julia, based on TBLIS, with generic strides an...
Framework for symmetric tensors
Solving differential equations in parallel on GPUs - JuliaCon 2021 workshop
A Julia package that solves Linearly Constrained Separable Optimization Problems using ADMM.
Limited-Memory Factorization of Symmetric Matrices
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Sparse, General Linear Algebra for Graphs!
Linear Operators for Julia