Class QRDecompositionHouseholder_ZDRM
- All Implemented Interfaces:
org.ejml.interfaces.decomposition.DecompositionInterface<org.ejml.data.ZMatrixRMaj>,org.ejml.interfaces.decomposition.QRDecomposition<org.ejml.data.ZMatrixRMaj>
public class QRDecompositionHouseholder_ZDRM
extends java.lang.Object
implements org.ejml.interfaces.decomposition.QRDecomposition<org.ejml.data.ZMatrixRMaj>
This variation of complex QR decomposition uses reflections to compute the Q matrix. Each reflection uses a householder operations, hence its name. To provide a meaningful solution the original matrix must have full rank. This is intended for processing of small to medium matrices.
Both Q and R are stored in the same m by n matrix. Q is not stored directly, instead the u from Qk=(I-γ*u*uH) is stored. Decomposition requires about 2n*m2-2m2/3 flops.
See the QR reflections algorithm described in:
David S. Watkins, "Fundamentals of Matrix Computations" 2nd Edition, 2002
For the most part this is a straight forward implementation. To improve performance on large matrices a column is written to an array and the order of some of the loops has been changed. This will degrade performance noticeably on small matrices. Since it is unlikely that the QR decomposition would be a bottle neck when small matrices are involved only one implementation is provided.
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Field Summary
Fields Modifier and Type Field Description protected double[]dataQRprotected booleanerrorprotected double[]gammasprotected intminLengthprotected intnumColsprotected intnumRowsprotected org.ejml.data.ZMatrixRMajQRWhere the Q and R matrices are stored.protected org.ejml.data.Complex_F64tauprotected double[]uprotected double[]v -
Constructor Summary
Constructors Constructor Description QRDecompositionHouseholder_ZDRM() -
Method Summary
Modifier and Type Method Description protected voidcommonSetup(org.ejml.data.ZMatrixRMaj A)This function performs sanity check on the input for decompose and sets up the QR matrix.booleandecompose(org.ejml.data.ZMatrixRMaj A)In order to decompose the matrix 'A' it must have full rank.double[]getGammas()org.ejml.data.ZMatrixRMajgetQ(@Nullable org.ejml.data.ZMatrixRMaj Q, boolean compact)Computes the Q matrix from the information stored in the QR matrix.org.ejml.data.ZMatrixRMajgetQR()Returns a single matrix which contains the combined values of Q and R.org.ejml.data.ZMatrixRMajgetR(@Nullable org.ejml.data.ZMatrixRMaj R, boolean compact)Returns an upper triangular matrix which is the R in the QR decomposition.protected voidhouseholder(int j)Computes the householder vector "u" for the first column of submatrix j.booleaninputModified()voidsetExpectedMaxSize(int numRows, int numCols)
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Field Details
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QR
protected org.ejml.data.ZMatrixRMaj QRWhere the Q and R matrices are stored. R is stored in the upper triangular portion and Q on the lower bit. Lower columns are where u is stored. Q_k = (I - gamma_k*u_k*u_k^H). -
u
protected double[] u -
v
protected double[] v -
numCols
protected int numCols -
numRows
protected int numRows -
minLength
protected int minLength -
dataQR
protected double[] dataQR -
gammas
protected double[] gammas -
tau
protected org.ejml.data.Complex_F64 tau -
error
protected boolean error
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Constructor Details
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QRDecompositionHouseholder_ZDRM
public QRDecompositionHouseholder_ZDRM()
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Method Details
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setExpectedMaxSize
public void setExpectedMaxSize(int numRows, int numCols) -
getQR
public org.ejml.data.ZMatrixRMaj getQR()Returns a single matrix which contains the combined values of Q and R. This is possible since Q is symmetric and R is upper triangular.- Returns:
- The combined Q R matrix.
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getQ
public org.ejml.data.ZMatrixRMaj getQ(@Nullable @Nullable org.ejml.data.ZMatrixRMaj Q, boolean compact)Computes the Q matrix from the information stored in the QR matrix. This operation requires about 4(m2n-mn2+n3/3) flops.- Specified by:
getQin interfaceorg.ejml.interfaces.decomposition.QRDecomposition<org.ejml.data.ZMatrixRMaj>- Parameters:
Q- The orthogonal Q matrix.
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getR
public org.ejml.data.ZMatrixRMaj getR(@Nullable @Nullable org.ejml.data.ZMatrixRMaj R, boolean compact)Returns an upper triangular matrix which is the R in the QR decomposition.- Specified by:
getRin interfaceorg.ejml.interfaces.decomposition.QRDecomposition<org.ejml.data.ZMatrixRMaj>- Parameters:
R- An upper triangular matrix.
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decompose
public boolean decompose(org.ejml.data.ZMatrixRMaj A)In order to decompose the matrix 'A' it must have full rank. 'A' is a 'm' by 'n' matrix. It requires about 2n*m2-2m2/3 flops.
The matrix provided here can be of different dimension than the one specified in the constructor. It just has to be smaller than or equal to it.
- Specified by:
decomposein interfaceorg.ejml.interfaces.decomposition.DecompositionInterface<org.ejml.data.ZMatrixRMaj>
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inputModified
public boolean inputModified()- Specified by:
inputModifiedin interfaceorg.ejml.interfaces.decomposition.DecompositionInterface<org.ejml.data.ZMatrixRMaj>
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householder
protected void householder(int j)Computes the householder vector "u" for the first column of submatrix j. Note this is a specialized householder for this problem. There is some protection against overflow and underflow.
Q = I - γuuH
This function finds the values of 'u' and 'γ'.
- Parameters:
j- Which submatrix to work off of.
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commonSetup
protected void commonSetup(org.ejml.data.ZMatrixRMaj A)This function performs sanity check on the input for decompose and sets up the QR matrix. -
getGammas
public double[] getGammas()
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