Scilab Website | Contribute with GitLab | Mailing list archives | ATOMS toolboxes
Scilab Online Help
6.0.0 - English

Change language to:
Français - 日本語 - Português - Русский

Please note that the recommended version of Scilab is 2025.0.0. This page might be outdated.
See the recommended documentation of this function

Scilab Help >> Linear Algebra > Eigenvalue and Singular Value > sva

sva

singular value approximation

Syntax

[U,s,V]=sva(A,k)
[U,s,V]=sva(A,tol)

Arguments

A

real or complex matrix

k

integer

tol

nonnegative real number

Description

Singular value approximation.

[U,S,V]=sva(A,k) with k an integer >=1, returns U,S and V such that B=U*S*V' is the best L2 approximation of A with rank(B)=k.

[U,S,V]=sva(A,tol) with tol a real number, returns U,S and V such that B=U*S*V' such that L2-norm of A-B is at most tol.

Examples

A=rand(5,4)*rand(4,5);
[U,s,V]=sva(A,2);
B=U*s*V';
svd(A)
svd(B)
clean(svd(A-B))

See also

  • svd — singular value decomposition
Report an issue
<< spec Eigenvalue and Singular Value svd >>

Copyright (c) 2022-2024 (Dassault Systèmes)
Copyright (c) 2017-2022 (ESI Group)
Copyright (c) 2011-2017 (Scilab Enterprises)
Copyright (c) 1989-2012 (INRIA)
Copyright (c) 1989-2007 (ENPC)
with contributors
Last updated:
Tue Feb 14 15:02:43 CET 2017