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## no.uib.cipr.matrix.sparse
Class FlexCompRowMatrix

    java.lang.Object
      no.uib.cipr.matrix.AbstractMatrix
          no.uib.cipr.matrix.sparse.FlexCompRowMatrix

All Implemented Interfaces:
  java.lang.Iterable<MatrixEntry>, Matrix

    public class FlexCompRowMatrix

extends AbstractMatrix

Matrix stored row-wise into sparse vectors

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
`FlexCompRowMatrix(int numRows, int numColumns)` Constructor for FlexCompRowMatrix
`FlexCompRowMatrix(Matrix A)` Constructor for FlexCompRowMatrix
`FlexCompRowMatrix(Matrix A, boolean deep)` Constructor for FlexCompRowMatrix

Method Summary
`void` | `add(int row, int column, double value)` `A(row,column) += value`
`void` | `compact()` Tries to store the matrix as compactly as possible
`Matrix` | `copy()` Creates a deep copy of the matrix
`double` | `get(int row, int column)` Returns `A(row,column)`
`SparseVector` | `getRow(int i)` Returns the given row
`java.util.Iterator<MatrixEntry>` | `iterator()`
`Vector` | `multAdd(double alpha, Vector x, Vector y)` `y = alpha*A*x + y`
`void` | `set(int row, int column, double value)` `A(row,column) = value`
`Matrix` | `set(Matrix B)` `A=B`.
`void` | `setRow(int i, SparseVector x)` Sets the given row equal the passed vector
`Vector` | `transMultAdd(double alpha, Vector x, Vector y)` `y = alpha*AT*x + y`
`FlexCompRowMatrix` | `zero()` Zeros all the entries in the matrix, while preserving any underlying structure.

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, max, max, mult, mult, mult, mult, multAdd, multAdd, multAdd, norm, norm1, normF, normInf, numColumns, numRows, rank1, rank1, rank1, rank1, rank1, rank1, rank2, rank2, rank2, rank2, scale, set, solve, solve, toString, transABmult, transABmult, transABmultAdd, transABmultAdd, transAmult, transAmult, transAmultAdd, transAmultAdd, transBmult, transBmult, transBmultAdd, transBmultAdd, transMult, transMult, transMultAdd, transpose, transpose, transRank1, transRank1, transRank2, transRank2, transSolve, transSolve`

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

Constructor Detail

### FlexCompRowMatrix

    public FlexCompRowMatrix(int numRows,
                             int numColumns)

  Constructor for FlexCompRowMatrix

  Parameters:
    `numRows` - Number of rows
    `numColumns` - Number of column

### FlexCompRowMatrix

    public FlexCompRowMatrix(Matrix A,
                             boolean deep)

  Constructor for FlexCompRowMatrix

  Parameters:
    `A` - Matrix to copy contents from
    `deep` - True for a deep copy, false for a reference copy. A reference copy can only be made of an `FlexCompRowMatrix`

### FlexCompRowMatrix

    public FlexCompRowMatrix(Matrix A)

  Constructor for FlexCompRowMatrix

  Parameters:
    `A` - Matrix to copy contents from. The copy will be deep

Method Detail

### getRow

    public SparseVector getRow(int i)

  Returns the given row

### setRow

    public void setRow(int i,
                       SparseVector x)

  Sets the given row equal the passed vector

### 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*AT*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

### add

    public void add(int row,
                    int column,
                    double value)

  Description copied from interface: `Matrix`
  `A(row,column) += value`

  Specified by:
    `add` in interface `Matrix`
  Overrides:
    `add` in class `AbstractMatrix`

### set

    public void set(int row,
                    int column,
                    double value)

  Description copied from interface: `Matrix`
  `A(row,column) = value`

  Specified by:
    `set` in interface `Matrix`
  Overrides:
    `set` in class `AbstractMatrix`

### get

    public double get(int row,
                      int column)

  Description copied from interface: `Matrix`
  Returns `A(row,column)`

  Specified by:
    `get` in interface `Matrix`
  Overrides:
    `get` in class `AbstractMatrix`

### iterator

    public java.util.Iterator<MatrixEntry> iterator()

  Specified by:
    `iterator` in interface `java.lang.Iterable<MatrixEntry>`
  Overrides:
    `iterator` in class `AbstractMatrix`

### copy

    public Matrix copy()

  Description copied from interface: `Matrix`
  Creates a deep copy of the matrix

  Specified by:
    `copy` in interface `Matrix`
  Overrides:
    `copy` in class `AbstractMatrix`
  Returns:
    A

### zero

    public FlexCompRowMatrix 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

### 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

### compact

    public void compact()

  Tries to store the matrix as compactly as possible

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