Scilab Function

chsolve - sparse Cholesky solver

### Calling Sequence

  `sol=chsolve(spcho,rhs)`

### Parameters

- `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 `sol=A*rhs` , 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` , `lufact` , `luget` , `spchol` ,