slepc-3.19.2 2023-09-05
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# LMEDenseHessLyapunovChol

Computes the Cholesky factor of the solution of a dense Lyapunov equation with an upper Hessenberg coefficient matrix.

### Synopsis

    #include "slepclme.h"
    PetscErrorCode LMEDenseHessLyapunovChol(LME lme,PetscInt m,PetscScalar *H,PetscInt ldh,PetscInt k,PetscScalar *B,PetscInt ldb,PetscScalar *U,PetscInt ldu,PetscReal *res)

Logically Collective

### Input Parameters

| lme | - linear matrix equation solver context
| m | - number of rows and columns of H
| H | - coefficient matrix
| ldh | - leading dimension of H
| k | - number of columns of B
| B | - right-hand side matrix
| ldb | - leading dimension of B
| ldu | - leading dimension of U

### Output Parameters

| U | - Cholesky factor of the solution
| res | - (optional) residual norm, on input it should contain H(m+1,m)

### Note

The Lyapunov equation has the form H*X + X*H' = -B*B', where H is an mxm upper Hessenberg matrix, B is an mxk matrix and the solution is expressed as X = U'*U, where U is upper triangular. H is supposed to be stable.

When k=1 and the res argument is provided, the last row of X is used to compute the residual norm of a Lyapunov equation projected via Arnoldi.

### See Also

LMEDenseLyapunov(), LMESolve()

### Level

developer

### Location

src/lme/interface/lmedense.c
Index of all LME routines
Table of Contents for all manual pages
Index of all manual pages