LowerSPDDenseMatrix (Matrix Toolkits for Java 1.0.1 API)

java.lang.Object
- no.uib.cipr.matrix.AbstractMatrix
- - no.uib.cipr.matrix.LowerSymmDenseMatrix
  - - no.uib.cipr.matrix.LowerSPDDenseMatrix

All Implemented Interfaces:

Iterable<MatrixEntry>, Matrix
```
public class LowerSPDDenseMatrix
extends LowerSymmDenseMatrix
```
Lower symmetrical positive definite dense matrix. Same layout as LowerSymmDenseMatrix. This class does not enforce the SPD property, but serves as a tag so that more efficient algorithms can be used in the solvers.

Nested Class Summary
- Nested classes/interfaces inherited from interface no.uib.cipr.matrix.Matrix
  Matrix.Norm

Field Summary
- Fields inherited from class no.uib.cipr.matrix.AbstractMatrix
  numColumns, numRows

Constructor Summary

Constructors
Constructor and Description
`LowerSPDDenseMatrix(int n)` Constructor for LowerSPDDenseMatrix
`LowerSPDDenseMatrix(Matrix A)` Constructor for LowerSPDDenseMatrix
`LowerSPDDenseMatrix(Matrix A, boolean deep)` Constructor for LowerSPDDenseMatrix

Method Summary

Methods
Modifier and Type	Method and Description
`LowerSPDDenseMatrix`	`copy()` Creates a deep copy of the matrix
`double[]`	`getData()` Returns the matrix contents.
`Matrix`	`multAdd(double alpha, Matrix B, Matrix C)` `C = alphaAB + C`
`Vector`	`multAdd(double alpha, Vector x, Vector y)` `y = alphaAx + y`
`Matrix`	`rank1(double alpha, Matrix C)` `A = alphaCC^T + A`.
`Matrix`	`rank1(double alpha, Vector x, Vector y)` `A = alphaxy^T + A`.
`Matrix`	`rank2(double alpha, Matrix B, Matrix C)` `A = alphaBC^T + alphaCB^T + A`.
`Matrix`	`rank2(double alpha, Vector x, Vector y)` `A = alphaxy^T + alphayx^T + A`.
`Matrix`	`set(Matrix B)` `A=B`.
`Matrix`	`solve(Matrix B, Matrix X)` `X = A\B`.
`Vector`	`solve(Vector b, Vector x)` `x = A\b`.
`String`	`toString()`
`Matrix`	`transAmultAdd(double alpha, Matrix B, Matrix C)` `C = alphaA^TB + C`
`Vector`	`transMultAdd(double alpha, Vector x, Vector y)` `y = alphaA^Tx + y`
`Matrix`	`transpose()` Transposes the matrix in-place.
`Matrix`	`transRank1(double alpha, Matrix C)` `A = alphaC^TC + A` The matrices must be square and of the same size
`Matrix`	`transRank2(double alpha, Matrix B, Matrix C)` `A = alphaB^TC + alphaC^TB + A`.
`Matrix`	`transSolve(Matrix B, Matrix X)` `X = A^T\B`.
`Vector`	`transSolve(Vector b, Vector x)` `x = A^T\b`.
`Matrix`	`zero()` Zeros all the entries in the matrix, while preserving any underlying structure.

Methods inherited from class no.uib.cipr.matrix.LowerSymmDenseMatrix
add, get, set

Methods inherited from class no.uib.cipr.matrix.AbstractMatrix
add, add, check, checkMultAdd, checkMultAdd, checkRank1, checkRank1, checkRank2, checkRank2, checkSize, checkSolve, checkSolve, checkTransABmultAdd, checkTransAmultAdd, checkTransBmultAdd, checkTransMultAdd, checkTranspose, checkTranspose, checkTransRank1, checkTransRank2, isSquare, iterator, max, max, mult, mult, mult, mult, multAdd, multAdd, norm, norm1, normF, normInf, numColumns, numRows, rank1, rank1, rank1, rank1, rank2, rank2, scale, set, transABmult, transABmult, transABmultAdd, transABmultAdd, transAmult, transAmult, transAmultAdd, transBmult, transBmult, transBmultAdd, transBmultAdd, transMult, transMult, transMultAdd, transpose, transRank1, transRank2

Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

- Constructor Detail
  - LowerSPDDenseMatrix
```
public LowerSPDDenseMatrix(int n)
```
    Constructor for LowerSPDDenseMatrix
    
    Parameters:
    n - Size of the matrix. Since the matrix must be square, this equals both the number of rows and columns
  - LowerSPDDenseMatrix
```
public LowerSPDDenseMatrix(Matrix A)
```
    Constructor for LowerSPDDenseMatrix
    
    Parameters:
    A - Matrix to copy. It must be a square matrix, and only the lower triangular part is copied
  - LowerSPDDenseMatrix
```
public LowerSPDDenseMatrix(Matrix A,
                   boolean deep)
```
    Constructor for LowerSPDDenseMatrix
    
    Parameters:
    A - Matrix to copy. It must be a square matrix, and only the lower triangular part is copied
    deep - False for a shallow copy, else it'll be a deep copy. For shallow copies, A must be a dense matrix
- Method Detail
  - copy
```
public LowerSPDDenseMatrix copy()
```
    Description copied from interface: Matrix
    
    Creates a deep copy of the matrix
    
    Specified by:
    
    copy in interface Matrix
    
    Overrides:
    
    copy in class LowerSymmDenseMatrix
    
    Returns:
    A
  - solve
```
public Matrix solve(Matrix B,
           Matrix X)
```
    Description copied from interface: Matrix
    
    X = A\B. Not all matrices support this operation, those that do not throw UnsupportedOperationException. Note that it is often more efficient to use a matrix decomposition and its associated solver
    
    Specified by:
    
    solve in interface Matrix
    
    Parameters:
    B - Matrix with the same number of rows as A, and the same number of columns as X
    X - Matrix with a number of rows equal A.numColumns(), and the same number of columns as B
    
    Returns:
    X
  - multAdd
```
public Matrix multAdd(double alpha,
             Matrix B,
             Matrix C)
```
    Description copied from interface: Matrix
    
    C = alpha*A*B + C
    
    Specified by:
    
    multAdd in interface Matrix
    
    Overrides:
    
    multAdd in class AbstractMatrix
    
    B - Matrix such that B.numRows() == A.numColumns() and B.numColumns() == C.numColumns()
    C - Matrix such that C.numRows() == A.numRows() and B.numColumns() == C.numColumns()
    
    Returns:
    C
  - transAmultAdd
```
public Matrix transAmultAdd(double alpha,
                   Matrix B,
                   Matrix C)
```
    Description copied from interface: Matrix
    
    C = alpha*A^T*B + C
    
    Specified by:
    
    transAmultAdd in interface Matrix
    
    Overrides:
    
    transAmultAdd in class AbstractMatrix
    
    B - Matrix such that B.numRows() == A.numRows() and B.numColumns() == C.numColumns()
    C - Matrix such that C.numRows() == A.numColumns() and B.numColumns() == C.numColumns()
    
    Returns:
    C
  - rank1
```
public Matrix rank1(double alpha,
           Vector x,
           Vector y)
```
    Description copied from interface: Matrix
    
    A = alpha*x*y^T + A. The matrix must be square, and the vectors of the same length
    
    Specified by:
    
    rank1 in interface Matrix
    
    Overrides:
    
    rank1 in class AbstractMatrix
    
    Returns:
    A
  - rank2
```
public Matrix rank2(double alpha,
           Vector x,
           Vector y)
```
    Description copied from interface: Matrix
    
    A = alpha*x*y^T + alpha*y*x^T + A. The matrix must be square, and the vectors of the same length
    
    Specified by:
    
    rank2 in interface Matrix
    
    Overrides:
    
    rank2 in class AbstractMatrix
    
    Returns:
    A
  - multAdd
```
public Vector multAdd(double alpha,
             Vector x,
             Vector y)
```
    Description copied from interface: Matrix
    
    y = alpha*A*x + y
    
    Specified by:
    
    multAdd in interface Matrix
    
    Overrides:
    
    multAdd in class AbstractMatrix
    
    x - Vector of size A.numColumns()
    y - Vector of size A.numRows()
    
    Returns:
    y
  - transMultAdd
```
public Vector transMultAdd(double alpha,
                  Vector x,
                  Vector y)
```
    Description copied from interface: Matrix
    
    y = alpha*A^T*x + y
    
    Specified by:
    
    transMultAdd in interface Matrix
    
    Overrides:
    
    transMultAdd in class AbstractMatrix
    
    x - Vector of size A.numRows()
    y - Vector of size A.numColumns()
    
    Returns:
    y
  - rank1
```
public Matrix rank1(double alpha,
           Matrix C)
```
    Description copied from interface: Matrix
    
    A = alpha*C*C^T + A. The matrices must be square and of the same size
    
    Specified by:
    
    rank1 in interface Matrix
    
    Overrides:
    
    rank1 in class AbstractMatrix
    
    Returns:
    A
  - transRank1
```
public Matrix transRank1(double alpha,
                Matrix C)
```
    Description copied from interface: Matrix
    
    A = alpha*C^T*C + A The matrices must be square and of the same size
    
    Specified by:
    
    transRank1 in interface Matrix
    
    Overrides:
    
    transRank1 in class AbstractMatrix
    
    Returns:
    A
  - rank2
```
public Matrix rank2(double alpha,
           Matrix B,
           Matrix C)
```
    Description copied from interface: Matrix
    
    A = alpha*B*C^T + alpha*C*B^T + A. This matrix must be square
    
    Specified by:
    
    rank2 in interface Matrix
    
    Overrides:
    
    rank2 in class AbstractMatrix
    
    B - Matrix with the same number of rows as A and the same number of columns as C
    C - Matrix with the same number of rows as A and the same number of columns as B
    
    Returns:
    A
  - transRank2
```
public Matrix transRank2(double alpha,
                Matrix B,
                Matrix C)
```
    Description copied from interface: Matrix
    
    A = alpha*B^T*C + alpha*C^T*B + A. This matrix must be square
    
    Specified by:
    
    transRank2 in interface Matrix
    
    Overrides:
    
    transRank2 in class AbstractMatrix
    
    B - Matrix with the same number of rows as C and the same number of columns as A
    C - Matrix with the same number of rows as B and the same number of columns as A
    
    Returns:
    A
  - solve
```
public Vector solve(Vector b,
           Vector x)
```
    Description copied from interface: Matrix
    
    x = A\b. Not all matrices support this operation, those that do not throw UnsupportedOperationException. Note that it is often more efficient to use a matrix decomposition and its associated solver
    
    Specified by:
    
    solve in interface Matrix
    
    Overrides:
    
    solve in class AbstractMatrix
    
    Parameters:
    b - Vector of size A.numRows()
    x - Vector of size A.numColumns()
    
    Returns:
    x
  - transSolve
```
public Matrix transSolve(Matrix B,
                Matrix X)
```
    Description copied from interface: Matrix
    
    X = A^T\B. Not all matrices support this operation, those that do not throw UnsupportedOperationException. Note that it is often more efficient to use a matrix decomposition and its associated transpose solver
    
    Specified by:
    
    transSolve in interface Matrix
    
    Overrides:
    
    transSolve in class AbstractMatrix
    
    Parameters:
    B - Matrix with a number of rows equal A.numColumns(), and the same number of columns as X
    X - Matrix with the same number of rows as A, and the same number of columns as B
    
    Returns:
    X
  - transSolve
```
public Vector transSolve(Vector b,
                Vector x)
```
    Description copied from interface: Matrix
    
    x = A^T\b. Not all matrices support this operation, those that do not throw UnsupportedOperationException. Note that it is often more efficient to use a matrix decomposition and its associated solver
    
    Specified by:
    
    transSolve in interface Matrix
    
    Overrides:
    
    transSolve in class AbstractMatrix
    
    Parameters:
    b - Vector of size A.numColumns()
    x - Vector of size A.numRows()
    
    Returns:
    x
  - transpose
```
public Matrix transpose()
```
    Description copied from interface: Matrix
    
    Transposes the matrix in-place. In most cases, the matrix must be square for this to work.
    
    Specified by:
    
    transpose in interface Matrix
    
    Overrides:
    
    transpose in class AbstractMatrix
    
    Returns:
    This matrix
  - getData
```
public double[] getData()
```
    Returns the matrix contents. Ordering depends on the underlying storage assumptions
  - set
```
public Matrix set(Matrix B)
```
    Description copied from interface: Matrix
    
    A=B. The matrices must be of the same size
    
    Specified by:
    
    set in interface Matrix
    
    Overrides:
    
    set in class AbstractMatrix
    
    Returns:
    A
  - zero
```
public Matrix zero()
```
    Description copied from interface: Matrix
    
    Zeros all the entries in the matrix, while preserving any underlying structure. Useful for general, unstructured matrices.
    
    Specified by:
    
    zero in interface Matrix
    
    Overrides:
    
    zero in class AbstractMatrix
    
    Returns:
    A
  - toString
```
public String toString()
```
    Overrides:
    
    toString in class AbstractMatrix

Class LowerSPDDenseMatrix

Nested Class Summary

Nested classes/interfaces inherited from interface no.uib.cipr.matrix.Matrix

Field Summary

Fields inherited from class no.uib.cipr.matrix.AbstractMatrix

Constructor Summary

Method Summary

Methods inherited from class no.uib.cipr.matrix.LowerSymmDenseMatrix

Methods inherited from class no.uib.cipr.matrix.AbstractMatrix

Methods inherited from class java.lang.Object

Constructor Detail

LowerSPDDenseMatrix

LowerSPDDenseMatrix

LowerSPDDenseMatrix

Method Detail

copy

solve

multAdd

transAmultAdd

rank1

rank2

multAdd

transMultAdd

rank1

transRank1

rank2

transRank2

solve

transSolve

transSolve

transpose

getData

set

zero

toString