Class QRDecompositionHouseholder_FDRB
- java.lang.Object
-
- org.ejml.dense.block.decomposition.qr.QRDecompositionHouseholder_FDRB
-
- All Implemented Interfaces:
org.ejml.interfaces.decomposition.DecompositionInterface<org.ejml.data.FMatrixRBlock>,org.ejml.interfaces.decomposition.QRDecomposition<org.ejml.data.FMatrixRBlock>
public class QRDecompositionHouseholder_FDRB extends java.lang.Object implements org.ejml.interfaces.decomposition.QRDecomposition<org.ejml.data.FMatrixRBlock>QR decomposition for
FMatrixRBlockusing householder reflectors. The decomposition is performed by computing a QR decomposition for each block column as is normally done, seeQRDecompositionHouseholder_FDRM. The reflectors are then combined and applied to the remainder of the matrix. This process is repeated until all the block columns have been processedThe input matrix is modified and used to store the decomposition. Reflectors are stored in the lower triangle columns. The first element of the reflector is implicitly assumed to be one.
Each iteration can be sketched as follows:QR_Decomposition( A(:,i-r to i) ) W=computeW( A(:,i-r to i) ) A(:,i:n) = (I + W*Y^T)^T*A(:,i:n)
Where r is the block size, i is the submatrix being considered, A is the input matrix, Y is a matrix containing the reflectors just computed, and W is computed usingBlockHouseHolder_FDRB.computeW_Column(int, org.ejml.data.FSubmatrixD1, org.ejml.data.FSubmatrixD1, float[], float[], int).Based upon "Block Householder QR Factorization" pg 255 in "Matrix Computations" 3rd Ed. 1996 by Gene H. Golub and Charles F. Van Loan.
-
-
Constructor Summary
Constructors Constructor Description QRDecompositionHouseholder_FDRB()
-
Method Summary
All Methods Static Methods Instance Methods Concrete Methods Modifier and Type Method Description voidapplyQ(org.ejml.data.FMatrixRBlock B)Multiplies the provided matrix by Q using householder reflectors.voidapplyQ(org.ejml.data.FMatrixRBlock B, boolean isIdentity)Specialized version of applyQ() that allows the zeros in an identity matrix to be taken advantage of depending on if isIdentity is true or not.voidapplyQTran(org.ejml.data.FMatrixRBlock B)Multiplies the provided matrix by QT using householder reflectors.booleandecompose(org.ejml.data.FMatrixRBlock orig)org.ejml.data.FMatrixRBlockgetQ(org.ejml.data.FMatrixRBlock Q, boolean compact)org.ejml.data.FMatrixRBlockgetQR()This is the input matrix after it has been overwritten with the decomposition.org.ejml.data.FMatrixRBlockgetR(org.ejml.data.FMatrixRBlock R, boolean compact)static org.ejml.data.FMatrixRBlockinitializeQ(org.ejml.data.FMatrixRBlock Q, int numRows, int numCols, int blockLength, boolean compact)Sanity checks the input or declares a new matrix.booleaninputModified()The input matrix is always modified.voidsetSaveW(boolean saveW)Sets if it should internally save the W matrix before performing the decomposition.protected voidupdateA(org.ejml.data.FSubmatrixD1 A)A = (I + W YT)TA
A = A + Y (WTA)
where A is a submatrix of the input matrix.
-
-
-
Method Detail
-
getQR
public org.ejml.data.FMatrixRBlock getQR()
This is the input matrix after it has been overwritten with the decomposition.- Returns:
- Internal matrix used to store decomposition.
-
setSaveW
public void setSaveW(boolean saveW)
Sets if it should internally save the W matrix before performing the decomposition. Must be set before decomposition the matrix.
Saving W can result in about a 5% savings when solving systems around a height of 5k. The price is that it needs to save a matrix the size of the input matrix.
- Parameters:
saveW- If the W matrix should be saved or not.
-
getQ
public org.ejml.data.FMatrixRBlock getQ(org.ejml.data.FMatrixRBlock Q, boolean compact)- Specified by:
getQin interfaceorg.ejml.interfaces.decomposition.QRDecomposition<org.ejml.data.FMatrixRBlock>
-
initializeQ
public static org.ejml.data.FMatrixRBlock initializeQ(org.ejml.data.FMatrixRBlock Q, int numRows, int numCols, int blockLength, boolean compact)Sanity checks the input or declares a new matrix. Return matrix is an identity matrix.
-
applyQ
public void applyQ(org.ejml.data.FMatrixRBlock B)
Multiplies the provided matrix by Q using householder reflectors. This is more efficient that computing Q then applying it to the matrix.
B = Q * B
- Parameters:
B- Matrix which Q is applied to. Modified.
-
applyQ
public void applyQ(org.ejml.data.FMatrixRBlock B, boolean isIdentity)Specialized version of applyQ() that allows the zeros in an identity matrix to be taken advantage of depending on if isIdentity is true or not.- Parameters:
B-isIdentity- If B is an identity matrix.
-
applyQTran
public void applyQTran(org.ejml.data.FMatrixRBlock B)
Multiplies the provided matrix by QT using householder reflectors. This is more efficient that computing Q then applying it to the matrix.
Q = Q*(I - γ W*Y^T)
QR = A ≥ R = Q^T*A = (Q3^T * (Q2^T * (Q1^t * A)))- Parameters:
B- Matrix which Q is applied to. Modified.
-
getR
public org.ejml.data.FMatrixRBlock getR(org.ejml.data.FMatrixRBlock R, boolean compact)- Specified by:
getRin interfaceorg.ejml.interfaces.decomposition.QRDecomposition<org.ejml.data.FMatrixRBlock>
-
decompose
public boolean decompose(org.ejml.data.FMatrixRBlock orig)
- Specified by:
decomposein interfaceorg.ejml.interfaces.decomposition.DecompositionInterface<org.ejml.data.FMatrixRBlock>
-
updateA
protected void updateA(org.ejml.data.FSubmatrixD1 A)
A = (I + W YT)TA
A = A + Y (WTA)
where A is a submatrix of the input matrix.
-
inputModified
public boolean inputModified()
The input matrix is always modified.- Specified by:
inputModifiedin interfaceorg.ejml.interfaces.decomposition.DecompositionInterface<org.ejml.data.FMatrixRBlock>- Returns:
- Returns true since the input matrix is modified.
-
-