Please note that the recommended version of Scilab is 2025.0.0. This page might be outdated.
See the recommended documentation of this function
taucs_chsolve
solve a linear sparse (s.p.d.) system given the Cholesky factors
Calling Sequence
[x] = taucs_chsolve(C_ptr, b [, A])
Arguments
- C_ptr
a pointer to a handle of the Cholesky factors (C,p with A(p,p)=CC')
- b
a real column vector or a matrix (multiple rhs)
- x
a real column vector or a matrix in case of multiple rhs ( x(:,i) is solution of A x(:,i) = b(:,i))
- A
(optional) the real s.p.d. matrix A (to use for iterative refinement step)
Description
This function must be used in conjonction with taucs_chfact which
computes the Cholesky factorization of a sparse real s.p.d. matrix.
When the matrix A is provided, one iterative refinement
step is done (the refined solution is accepted if it improves the
2-norm of the residual Ax-b).
Like in taucs_chfact the matrix A may be provided either in its complete form (that is with the lower triangle also) or only with its upper triangle.
Examples
see the example section of taucs_chfact
Authors
- taucs by Sivan Toledo (see taucs_license)
- scilab interface by Bruno Pincon
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