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Please note that the recommended version of Scilab is 6.0.1. This page might be outdated.
See the recommended documentation of this function

Scilab Help >> Linear Algebra > Linear Equations > chol

chol

Cholesky factorization

Calling Sequence

[R]=chol(X)

Arguments

X

a symmetric positive definite real or complex matrix.

Description

If X is positive definite, then R = chol(X) produces an upper triangular matrix R such that R'*R = X.

chol(X) uses only the diagonal and upper triangle of X. The lower triangular is assumed to be the (complex conjugate) transpose of the upper.

References

Cholesky decomposition is based on the Lapack routines DPOTRF for real matrices and ZPOTRF for the complex case.

Examples

W=rand(5,5)+%i*rand(5,5);
X=W*W';
R=chol(X);
norm(R'*R-X)

See Also

  • spchol — sparse cholesky factorization
  • qr — QR decomposition
  • svd — singular value decomposition
  • bdiag — block diagonalization, generalized eigenvectors
  • fullrf — full rank factorization
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Last updated:
Wed Apr 01 10:13:53 CEST 2015