public class SvdImplicitQrDecompose_FDRM
extends java.lang.Object
implements org.ejml.interfaces.decomposition.SingularValueDecomposition_F32<org.ejml.data.FMatrixRMaj>
Computes the Singular value decomposition of a matrix using the implicit QR algorithm for singular value decomposition. It works by first by transforming the matrix to a bidiagonal A=U*B*VT form, then it implicitly computing the eigenvalues of the BTB matrix, which are the same as the singular values in the original A matrix.
Based off of the description provided in:
David S. Watkins, "Fundamentals of Matrix Computations," Second Edition. Page 404-411
| Constructor and Description |
|---|
SvdImplicitQrDecompose_FDRM(boolean compact,
boolean computeU,
boolean computeV,
boolean canUseTallBidiagonal)
Configures the class
|
| Modifier and Type | Method and Description |
|---|---|
boolean |
decompose(org.ejml.data.FMatrixRMaj orig) |
float[] |
getSingularValues() |
org.ejml.data.FMatrixRMaj |
getU(org.ejml.data.FMatrixRMaj U,
boolean transpose) |
org.ejml.data.FMatrixRMaj |
getV(org.ejml.data.FMatrixRMaj V,
boolean transpose) |
org.ejml.data.FMatrixRMaj |
getW(org.ejml.data.FMatrixRMaj W) |
boolean |
inputModified() |
boolean |
isCompact() |
int |
numberOfSingularValues() |
int |
numCols() |
int |
numRows() |
public SvdImplicitQrDecompose_FDRM(boolean compact,
boolean computeU,
boolean computeV,
boolean canUseTallBidiagonal)
compact - Compute a compact SVDcomputeU - If true it will compute the U matrixcomputeV - If true it will compute the V matrixcanUseTallBidiagonal - If true then it can choose to use a tall Bidiagonal decomposition to improve runtime performance.public float[] getSingularValues()
getSingularValues in interface org.ejml.interfaces.decomposition.SingularValueDecomposition_F32<org.ejml.data.FMatrixRMaj>public int numberOfSingularValues()
numberOfSingularValues in interface org.ejml.interfaces.decomposition.SingularValueDecomposition<org.ejml.data.FMatrixRMaj>public boolean isCompact()
isCompact in interface org.ejml.interfaces.decomposition.SingularValueDecomposition<org.ejml.data.FMatrixRMaj>public org.ejml.data.FMatrixRMaj getU(org.ejml.data.FMatrixRMaj U,
boolean transpose)
getU in interface org.ejml.interfaces.decomposition.SingularValueDecomposition<org.ejml.data.FMatrixRMaj>public org.ejml.data.FMatrixRMaj getV(org.ejml.data.FMatrixRMaj V,
boolean transpose)
getV in interface org.ejml.interfaces.decomposition.SingularValueDecomposition<org.ejml.data.FMatrixRMaj>public org.ejml.data.FMatrixRMaj getW(org.ejml.data.FMatrixRMaj W)
getW in interface org.ejml.interfaces.decomposition.SingularValueDecomposition<org.ejml.data.FMatrixRMaj>public boolean decompose(org.ejml.data.FMatrixRMaj orig)
decompose in interface org.ejml.interfaces.decomposition.DecompositionInterface<org.ejml.data.FMatrixRMaj>public boolean inputModified()
inputModified in interface org.ejml.interfaces.decomposition.DecompositionInterface<org.ejml.data.FMatrixRMaj>public int numRows()
numRows in interface org.ejml.interfaces.decomposition.SingularValueDecomposition<org.ejml.data.FMatrixRMaj>public int numCols()
numCols in interface org.ejml.interfaces.decomposition.SingularValueDecomposition<org.ejml.data.FMatrixRMaj>