Structured Matrix Package (LBNL)
Provides compile-time contraction pattern analysis to determine optimal tensor operation to perform.
This repository mirrors the principal Gitlab repository of the Chebyshev Accelerated Subspace iteration Eigensolver. If you want to contribute as developer to this project please contact [email protected].
Go package to read and write sparse and dense matrices in the NIST MatrixMarket file format
A simple, portable, zero-dependency, immutable floating-point linear algebra library that implements dense vectors and dense matrices of arbitrary dimensions. The matrices are CPU-based, and do not involve SIMD, CUDA, or OpenGL. The focus is on simplicity, portability, and convenience-of-use, not speed, optimization, or efficiency.
MPI programs that compute the dense matrix vector multiplication via 2 different partitioning
Linear Programming, Quadratic Programming, and Working with Huge matrices
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