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schur-decomposition

Here are 6 public repositories matching this topic...

Tiger

hosseinmoein / Tiger

C++ Matrix -- High performance and accurate (e.g. edge cases) matrix math library with expression template arithmetic operators

data-science cpp matrix metaprogramming matrix-factorization statistical-analysis eigenvectors matrix-calculations eigenvalues numerical-analysis lu-decomposition qr-decomposition matrix-decompositions financial-engineering tridiagonal matrix-math-library determinant-calculation hessenberg-reduction single-value-decomposition schur-decomposition

Updated Apr 5, 2024
C++

mohamed82008 / DifferentiableFactorizations.jl

Differentiable matrix factorizations using ImplicitDifferentiation.jl.

automatic-differentiation matrix-factorization svd lu-decomposition qr-decomposition matrix-decompositions cholesky-decomposition svd-matrix-factorisation schur-decomposition eigendecomposition implicit-differentiation generalized-eigenvalue forward-mode-autodiff reverse-mode-autodiff

Updated Sep 14, 2023
Julia

RalphAS / GenericSchur.jl

Julia package for Schur decomposition of matrices with generic element types

julia linear-algebra eigenvectors eigenvalues schur-decomposition

Updated Mar 23, 2024
Julia

NLAFET / StarNEig

A Task-based Library for Solving Dense Nonsymmetric Eigenvalue Problems

library gpu mpi parallel-computing eigenvectors shared-memory eigenvalues task-based hessenberg-reduction distributed-memory hessenberg-forms schur-decomposition eigenvalueproblems starpu nlafet schur-reduction schur-form qz-algorithm hessenberg

Updated Jan 15, 2023
C

amin-rami / linear-algebra-project

This is the final course project for linear algebra course, spring of 2022.

linear-algebra svd dictionary-learning qr-decomposition matrix-decompositions cholesky-decomposition schur-decomposition

Updated Aug 5, 2022
HTML

machulsky61 / Linear-Algebra

Computational Linear Algebra course covering topics like iterative methods, matrix decompositions, and applications. It includes theoretical concepts, practical exercises, and code. Advanced methods like QR factorization, spectral theorem, and iterative solvers for linear systems.

python data-science machine-learning algorithms matrix linear-algebra least-squares eigenvectors numerical-methods iterative-methods jacobi eigenvalues lu-decomposition qr-decomposition gauss-seidel singular-value-decomposition cholesky successive-over-relaxation schur-decomposition

Updated Apr 3, 2024
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