BVSVDAndRank — SLEPc 3.25.1 documentation

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# BVSVDAndRank

Compute the SVD (left singular vectors only, and singular values) and determine the numerical rank according to a tolerance.

## Synopsis

    #include "slepcbv.h"
    PetscErrorCode BVSVDAndRank(BV S,PetscInt m,PetscInt l,PetscReal delta,BVSVDMethod meth,PetscScalar A[],PetscReal sigma[],PetscInt *rank)

Collective

## Input Parameters

- S - the basis vectors object

- m - the moment degree

- l - the block size

- delta - the tolerance used to determine the rank

- meth - the method to be used

## Output Parameters

- A - workspace, on output contains relevant values in the CAA method

- sigma - computed singular values

- rank - estimated rank (optional, pass `NULL` if not needed)

## Notes

This function computes the SVD \(S=U\Sigma V^*\) and replaces \(S\) with \(U\). The current implementation computes this via \(S^*S\), and it may include some kind of iterative refinement to improve accuracy in some cases.

The parameters `m` and `l` refer to the moment and block size of contour integral methods. All columns up to `m*l` are modified, and the active columns are set to `0..m*l`.

See `BVSVDMethod` for available methods.

The `A` workspace should be `m*l*m*l` in size.

Once the decomposition is computed, the numerical rank is estimated by counting the number of singular values that are larger than the tolerance `delta`, relative to the first singular value.

## See Also

BV: Basis Vectors, `BVSetActiveColumns()`

## Level

developer

## Location

src/sys/classes/bv/interface/bvcontour.c

Index of all BV routines Table of Contents for all manual pages Index of all manual pages