linear algebra -凯发k8网页登录

solve linear equations, factor and invert matrices

blocks

	factor square hermitian positive definite matrix into triangular components
	factor square hermitian positive definite matrices into lower, upper, and diagonal components
	factor square matrix into lower and upper triangular components
	factor arbitrary matrix into unitary and upper triangular components
	factor matrix using singular value decomposition

	solve ux = b for x when u is upper triangular matrix
	solve sx = b for x when s is a square hermitian positive definite matrix
	solve lx = b for x when l is lower triangular matrix
	solve sx=b for x when s is square hermitian positive definite matrix
	solve linear system of equations using levinson-durbin recursion
	solve ax = b when a is a square matrix
	find minimum-norm-residual solution to ax=b
	solve ax = b using singular value decomposition

	compute inverse of hermitian positive definite matrix using cholesky factorization
	compute inverse of hermitian positive definite matrix using ldl factorization
	compute inverse of square matrix using lu factorization
	compute moore-penrose pseudoinverse of matrix

solve systems of linear equations.
simulink^® model example that shows how to use the ldl factorization block.
use backward substitution block to solve a system of linear equations. verify the solution using matrix multiply block.
use forward substitution block to solve a system of linear equations. verify the solution using matrix multiply block.
find inverse of a square matrix using the lu inverse block.
use lu solver block to solve a matrix equation. verify the solution using matrix multiply block.
use svd solver block to solve a matrix equation. verify the solution using matrix multiply block.
use cholesky solver block to solve a matrix equation. verify the solution using matrix multiply block.
factorize a matrix using the lu factorization block.