A library contains implements of factorization supporting multiple methods and data types.
- LU Factorization
- Schmidt Decomposition (classical/modified)
- Householder Reduction
- Givens Reduction
Python 3.4 or higher
pip install lib-b
# libb -h
Apply all decomposition on the matrix you input:
# libb lucsmshg
Import it:
import libb
Load matrix(from stdin or opened file):
A_matrix, row_num, col_num = libb.LoadMatrix(src=stdin)
Apply methods on matrix (any struct that supports index operator []
) and fetch the result:
P, L, U = libb.LUFactorization(A=A_matrix)
Q, R = libb.ClassicalSchmidtDecomposition(A=A_matrix)
Q, R = libb.ModifiedSchmidtDecomposition(A=A_matrix)
Q, R = libb.HouseholderReduction(A=A_matrix)
Q, R = libb.GivensReduction(A=A_matrix)