Class FieldQRDecomposition<T extends RealFieldElement<T>>
- java.lang.Object
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- org.hipparchus.linear.FieldQRDecomposition<T>
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- Type Parameters:
T
- type of the underlying field elements
public class FieldQRDecomposition<T extends RealFieldElement<T>> extends Object
Calculates the QR-decomposition of a field matrix.The QR-decomposition of a matrix A consists of two matrices Q and R that satisfy: A = QR, Q is orthogonal (QTQ = I), and R is upper triangular. If A is m×n, Q is m×m and R m×n.
This class compute the decomposition using Householder reflectors.
For efficiency purposes, the decomposition in packed form is transposed. This allows inner loop to iterate inside rows, which is much more cache-efficient in Java.
This class is based on the class
QRDecomposition
.
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Constructor Summary
Constructors Constructor Description FieldQRDecomposition(FieldMatrix<T> matrix)
Calculates the QR-decomposition of the given matrix.FieldQRDecomposition(FieldMatrix<T> matrix, T threshold)
Calculates the QR-decomposition of the given matrix.
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Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method Description protected void
decompose(T[][] matrix)
Decompose matrix.FieldMatrix<T>
getH()
Returns the Householder reflector vectors.FieldMatrix<T>
getQ()
Returns the matrix Q of the decomposition.FieldMatrix<T>
getQT()
Returns the transpose of the matrix Q of the decomposition.FieldMatrix<T>
getR()
Returns the matrix R of the decomposition.FieldDecompositionSolver<T>
getSolver()
Get a solver for finding the A × X = B solution in least square sense.protected void
performHouseholderReflection(int minor, T[][] matrix)
Perform Householder reflection for a minor A(minor, minor) of A.
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Constructor Detail
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FieldQRDecomposition
public FieldQRDecomposition(FieldMatrix<T> matrix)
Calculates the QR-decomposition of the given matrix. The singularity threshold defaults to zero.- Parameters:
matrix
- The matrix to decompose.- See Also:
FieldQRDecomposition(FieldMatrix, RealFieldElement)
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FieldQRDecomposition
public FieldQRDecomposition(FieldMatrix<T> matrix, T threshold)
Calculates the QR-decomposition of the given matrix.- Parameters:
matrix
- The matrix to decompose.threshold
- Singularity threshold.
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Method Detail
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decompose
protected void decompose(T[][] matrix)
Decompose matrix.- Parameters:
matrix
- transposed matrix
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performHouseholderReflection
protected void performHouseholderReflection(int minor, T[][] matrix)
Perform Householder reflection for a minor A(minor, minor) of A.- Parameters:
minor
- minor indexmatrix
- transposed matrix
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getR
public FieldMatrix<T> getR()
Returns the matrix R of the decomposition.R is an upper-triangular matrix
- Returns:
- the R matrix
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getQ
public FieldMatrix<T> getQ()
Returns the matrix Q of the decomposition.Q is an orthogonal matrix
- Returns:
- the Q matrix
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getQT
public FieldMatrix<T> getQT()
Returns the transpose of the matrix Q of the decomposition.Q is an orthogonal matrix
- Returns:
- the transpose of the Q matrix, QT
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getH
public FieldMatrix<T> getH()
Returns the Householder reflector vectors.H is a lower trapezoidal matrix whose columns represent each successive Householder reflector vector. This matrix is used to compute Q.
- Returns:
- a matrix containing the Householder reflector vectors
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getSolver
public FieldDecompositionSolver<T> getSolver()
Get a solver for finding the A × X = B solution in least square sense.Least Square sense means a solver can be computed for an overdetermined system, (i.e. a system with more equations than unknowns, which corresponds to a tall A matrix with more rows than columns). In any case, if the matrix is singular within the tolerance set at
construction
, an error will be triggered when thesolve
method will be called.- Returns:
- a solver
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