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See the recommended documentation of this function

Справка Scilab >> Sparse Matrix > chsolve

chsolve

sparse Cholesky solver

Calling Sequence

sol=chsolve(spcho,rhs)

Arguments

spcho

list containing the Cholesky factors in coded form returned by chfact

rhs, sol

full column vectors

Description

sol=chsolve(spcho,rhs) computes the solution of rhs=A*sol, with A a symmetric sparse positive definite matrix. This function is based on the Ng-Peyton programs (ORNL). See the Fortran programs for a complete description of the variables in spcho.

Examples

A=sprand(20,20,0.1);
A=A*A'+eye();  
spcho=chfact(A);
sol=(1:20)';
rhs=A*sol;
spcho=chfact(A);
chsolve(spcho,rhs)

See Also

  • chfact — sparse Cholesky factorization
  • sparse — sparse matrix definition
  • lufact — sparse lu factorization
  • luget — extraction of sparse LU factors
  • spchol — sparse cholesky factorization
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Last updated:
Thu Oct 02 14:01:07 CEST 2014