Efficient Householder Transformation in PyTorch
Experimental Krylov subspace solvers in Fortran/OpenMP focused on numerical stability, matrix-free methods and performance analysis.
A review of the Golub-Kahan Bidiagonalization Method with Householder reflectors.
Reference implementations of Householder QR decomposition, Hessenberg reduction, eigenvalue QR-algorithm and QR-LLS using Eigen3 lib
QR Algorithm for finding eigenvalues & eigenvectors of a symmetric matrix using QR factorization with Householder reflections
QR decomposition using Householder reflections
Householder reflection QR. System of linear equations.
Solving the Least Squares Problem via reduced QR factorization by Gram-Schmidt and by Householder triangularization.
Fatoração QR se utilizando de algoritmos de Gram-Schmidt e Reflexões de Householder.
Some notes on linear algebra and numerical linear algebra
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