5 skills found
clbustos / ExtendmatrixCosmin Bonchis's enhancements to the Ruby "Vector" and "Matrix" module and includes: LU and QR (Householder, Givens, Gram Schmidt, Hessenberg) decompositions, bidiagonalization, eigenvalue and eigenvector calculations. Work on Ruby 1.8.7, 1.9.1 and 1.9.2 (SVN version)
stephenhky / PyqentangleQuantum Entanglement in Python
SENATOROVAI / QR Decomposition Solver CourseQR decomposition, or QR factorization, is a fundamental linear algebra method that decomposes a matrix into a product of an orthogonal matrix and an upper triangular matrix. It is widely used for solving linear least squares problems, computing eigenvalues, Gram-Schmidt, Householder reflections, or Givens rotations.Solver
arneish / Parallel PCA OpenmpA parallelized implementation of Principal Component Analysis (PCA) using Singular Value Decomposition (SVD) in OpenMP for C. The procedure used is Modified Gram Schmidt algorithm. The method for Classical Gram Schmidt is also available for use.
tprest / Fast GSDSagemath algorithms for faster Gram-Schmidt decomposition in structured lattices
