WrapperFloatMatrix2D (Parallel Colt 0.10.1

java.lang.Object
- cern.colt.PersistentObject
- - cern.colt.matrix.AbstractMatrix
  - - cern.colt.matrix.AbstractMatrix2D
    - - cern.colt.matrix.tfloat.FloatMatrix2D
      - cern.colt.matrix.tfloat.impl.WrapperFloatMatrix2D

All Implemented Interfaces:

Serializable, Cloneable

Direct Known Subclasses:

DenseLargeFloatMatrix2D, DiagonalFloatMatrix2D, SparseCCFloatMatrix2D, SparseCCMFloatMatrix2D, SparseRCFloatMatrix2D, SparseRCMFloatMatrix2D
```
public class WrapperFloatMatrix2D
extends FloatMatrix2D
```
2-d matrix holding float elements; either a view wrapping another matrix or a matrix whose views are wrappers.

Version:

1.0, 04/14/2000

Author:

wolfgang.hoschek@cern.ch, Piotr Wendykier (piotr.wendykier@gmail.com)

See Also:
Serialized Form

Constructor Summary

Constructors
Constructor and Description

WrapperFloatMatrix2D(FloatMatrix2D newContent)

Constructors
Constructor and Description
`WrapperFloatMatrix2D(FloatMatrix2D newContent)`

Method Summary

Methods
Modifier and Type	Method and Description
`FloatMatrix2D`	`assign(float[] values)` Sets all cells to the state specified by `values`.
`FloatMatrix2D`	`assign(FloatMatrix2D y, FloatFloatFunction function)` Assigns the result of a function to each cell; `x[row,col] = function(x[row,col],y[row,col])`.
`void`	`dct2(boolean scale)` Computes the 2D discrete cosine transform (DCT-II) of this matrix.
`void`	`dctColumns(boolean scale)` Computes the discrete cosine transform (DCT-II) of each column of this matrix.
`void`	`dctRows(boolean scale)` Computes the discrete cosine transform (DCT-II) of each row of this matrix.
`void`	`dht2()` Computes the 2D discrete Hartley transform (DHT) of this matrix.
`void`	`dhtColumns()` Computes the discrete Hertley transform (DHT) of each column of this matrix.
`void`	`dhtRows()` Computes the discrete Hertley transform (DHT) of each row of this matrix.
`void`	`dst2(boolean scale)` Computes the 2D discrete sine transform (DST-II) of this matrix.
`void`	`dstColumns(boolean scale)` Computes the discrete sine transform (DST-II) of each column of this matrix.
`void`	`dstRows(boolean scale)` Computes the discrete sine transform (DST-II) of each row of this matrix.
`Object`	`elements()` Returns the elements of this matrix.
`boolean`	`equals(float value)` Returns whether all cells are equal to the given value.
`boolean`	`equals(Object obj)` Compares this object against the specified object.
`void`	`fft2()` Computes the 2D discrete Fourier transform (DFT) of this matrix.
`DenseLargeFComplexMatrix2D`	`getFft2()` Returns new complex matrix which is the 2D discrete Fourier transform (DFT) of this matrix.
`DenseLargeFComplexMatrix2D`	`getFftColumns()` Returns new complex matrix which is the discrete Fourier transform (DFT) of each column of this matrix.
`DenseLargeFComplexMatrix2D`	`getFftRows()` Returns new complex matrix which is the discrete Fourier transform (DFT) of each row of this matrix.
`DenseLargeFComplexMatrix2D`	`getIfft2(boolean scale)` Returns new complex matrix which is the 2D inverse of the discrete Fourier transform (IDFT) of this matrix.
`DenseLargeFComplexMatrix2D`	`getIfftColumns(boolean scale)` Returns new complex matrix which is the inverse of the discrete Fourier transform (IDFT) of each column of this matrix.
`DenseLargeFComplexMatrix2D`	`getIfftRows(boolean scale)` Returns new complex matrix which is the inverse of the discrete Fourier transform (IDFT) of each row of this matrix.
`float`	`getQuick(int row, int column)` Returns the matrix cell value at coordinate `[row,column]`.
`void`	`idct2(boolean scale)` Computes the 2D inverse of the discrete cosine transform (DCT-III) of this matrix.
`void`	`idctColumns(boolean scale)` Computes the inverse of the discrete cosine transform (DCT-III) of each column of this matrix.
`void`	`idctRows(boolean scale)` Computes the inverse of the discrete cosine transform (DCT-III) of each row of this matrix.
`void`	`idht2(boolean scale)` Computes the 2D inverse of the discrete Hartley transform (DHT) of this matrix.
`void`	`idhtColumns(boolean scale)` Computes the inverse of the discrete Hartley transform (DHT) of each column of this matrix.
`void`	`idhtRows(boolean scale)` Computes the inverse of the discrete Hartley transform (DHT) of each row of this matrix.
`void`	`idst2(boolean scale)` Computes the 2D inverse of the discrete size transform (DST-III) of this matrix.
`void`	`idstColumns(boolean scale)` Computes the inverse of the discrete sine transform (DST-III) of each column of this matrix.
`void`	`idstRows(boolean scale)` Computes the inverse of the discrete sine transform (DST-III) of each row of this matrix.
`void`	`ifft2(boolean scale)` Computes the 2D inverse of the discrete Fourier transform (IDFT) of this matrix.
`FloatMatrix2D`	`like(int rows, int columns)` Construct and returns a new empty matrix of the same dynamic type as the receiver, having the specified number of rows and columns.
`FloatMatrix1D`	`like1D(int size)` Construct and returns a new 1-d matrix of the corresponding dynamic type, entirelly independent of the receiver.
`void`	`setQuick(int row, int column, float value)` Sets the matrix cell at coordinate `[row,column]` to the specified value.
`FloatMatrix1D`	`vectorize()` Returns a vector obtained by stacking the columns of the matrix on top of one another.
`FloatMatrix1D`	`viewColumn(int column)` Constructs and returns a new slice view representing the rows of the given column.
`FloatMatrix2D`	`viewColumnFlip()` Constructs and returns a new flip view along the column axis.
`FloatMatrix2D`	`viewDice()` Constructs and returns a new dice (transposition) view; Swaps axes; example: 3 x 4 matrix --> 4 x 3 matrix.
`FloatMatrix2D`	`viewPart(int row, int column, int height, int width)` Constructs and returns a new sub-range view that is a `height x width` sub matrix starting at `[row,column]`.
`FloatMatrix1D`	`viewRow(int row)` Constructs and returns a new slice view representing the columns of the given row.
`FloatMatrix2D`	`viewRowFlip()` Constructs and returns a new flip view along the row axis.
`FloatMatrix2D`	`viewSelection(int[] rowIndexes, int[] columnIndexes)` Constructs and returns a new selection view that is a matrix holding the indicated cells.
`FloatMatrix2D`	`viewStrides(int _rowStride, int _columnStride)` Constructs and returns a new stride view which is a sub matrix consisting of every i-th cell.

Methods inherited from class cern.colt.matrix.tfloat.FloatMatrix2D
aggregate, aggregate, aggregate, aggregate, assign, assign, assign, assign, assign, assign, assign, cardinality, copy, forEachNonZero, get, getMaxLocation, getMinLocation, getNegativeValues, getNonZeros, getPositiveValues, like, normalize, set, toArray, toString, viewSelection, viewSelection, viewSorted, zAssign8Neighbors, zMult, zMult, zMult, zMult, zSum

Methods inherited from class cern.colt.matrix.AbstractMatrix2D
checkShape, checkShape, columns, columnStride, index, rows, rowStride, size, toStringShort

Methods inherited from class cern.colt.matrix.AbstractMatrix
ensureCapacity, isView, trimToSize

Methods inherited from class cern.colt.PersistentObject
clone

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

- Constructor Detail
  - WrapperFloatMatrix2D
```
public WrapperFloatMatrix2D(FloatMatrix2D newContent)
```
- Method Detail
  - assign
```
public FloatMatrix2D assign(float[] values)
```
    Description copied from class: FloatMatrix2D
    
    Sets all cells to the state specified by values. values is required to have the form values[row*column] and elements have to be stored in a row-wise order.
    The values are copied. So subsequent changes in values are not reflected in the matrix, and vice-versa.
    
    Overrides:
    
    assign in class FloatMatrix2D
    
    Parameters:
    values - the values to be filled into the cells.
    
    Returns:
    this (for convenience only).
  - assign
```
public FloatMatrix2D assign(FloatMatrix2D y,
                   FloatFloatFunction function)
```
    Description copied from class: FloatMatrix2D
    Assigns the result of a function to each cell; x[row,col] = function(x[row,col],y[row,col]).
    Example:
```
         // assign x[row,col] = x[row,col]<sup>y[row,col]</sup>
         m1 = 2 x 2 matrix 
         0 1 
         2 3
 
         m2 = 2 x 2 matrix 
         0 2 
         4 6
 
         m1.assign(m2, cern.jet.math.Functions.pow);
         -->
         m1 == 2 x 2 matrix
         1   1 
         16 729
 
 
```
    For further examples, see the package doc.
    Overrides:
    
    assign in class FloatMatrix2D
    
    Parameters:
    y - the secondary matrix to operate on.
    function - a function object taking as first argument the current cell's value of this, and as second argument the current cell's value of y,
    
    Returns:
    this (for convenience only).
    See Also:
    FloatFunctions
  - elements
```
public Object elements()
```
    Description copied from class: FloatMatrix2D
    
    Returns the elements of this matrix.
    
    Specified by:
    
    elements in class FloatMatrix2D
    
    Returns:
    the elements
  - getQuick
```
public float getQuick(int row,
             int column)
```
    Description copied from class: FloatMatrix2D
    
    Returns the matrix cell value at coordinate [row,column].
    Provided with invalid parameters this method may return invalid objects without throwing any exception. You should only use this method when you are absolutely sure that the coordinate is within bounds. Precondition (unchecked): 0 <= column < columns() && 0 <= row < rows().
    
    Specified by:
    
    getQuick in class FloatMatrix2D
    
    Parameters:
    row - the index of the row-coordinate.
    column - the index of the column-coordinate.
    
    Returns:
    the value at the specified coordinate.
  - equals
```
public boolean equals(float value)
```
    Description copied from class: FloatMatrix2D
    
    Returns whether all cells are equal to the given value.
    
    Overrides:
    
    equals in class FloatMatrix2D
    
    Parameters:
    value - the value to test against.
    
    Returns:
    true if all cells are equal to the given value, false otherwise.
  - equals
```
public boolean equals(Object obj)
```
    Description copied from class: FloatMatrix2D
    
    Compares this object against the specified object. The result is true if and only if the argument is not null and is at least a FloatMatrix2D object that has the same number of columns and rows as the receiver and has exactly the same values at the same coordinates.
    
    Overrides:
    
    equals in class FloatMatrix2D
    
    Parameters:
    obj - the object to compare with.
    
    Returns:
    true if the objects are the same; false otherwise.
  - like
```
public FloatMatrix2D like(int rows,
                 int columns)
```
    Description copied from class: FloatMatrix2D
    
    Construct and returns a new empty matrix of the same dynamic type as the receiver, having the specified number of rows and columns. For example, if the receiver is an instance of type DenseFloatMatrix2D the new matrix must also be of type DenseFloatMatrix2D, if the receiver is an instance of type SparseFloatMatrix2D the new matrix must also be of type SparseFloatMatrix2D, etc. In general, the new matrix should have internal parametrization as similar as possible.
    
    Specified by:
    
    like in class FloatMatrix2D
    
    Parameters:
    rows - the number of rows the matrix shall have.
    columns - the number of columns the matrix shall have.
    
    Returns:
    a new empty matrix of the same dynamic type.
  - like1D
```
public FloatMatrix1D like1D(int size)
```
    Description copied from class: FloatMatrix2D
    
    Construct and returns a new 1-d matrix of the corresponding dynamic type, entirelly independent of the receiver. For example, if the receiver is an instance of type DenseFloatMatrix2D the new matrix must be of type DenseFloatMatrix1D, if the receiver is an instance of type SparseFloatMatrix2D the new matrix must be of type SparseFloatMatrix1D, etc.
    
    Specified by:
    
    like1D in class FloatMatrix2D
    
    Parameters:
    size - the number of cells the matrix shall have.
    
    Returns:
    a new matrix of the corresponding dynamic type.
  - dct2
```
public void dct2(boolean scale)
```
    Computes the 2D discrete cosine transform (DCT-II) of this matrix.
    
    Parameters:
    scale - if true then scaling is performed
  - dctColumns
```
public void dctColumns(boolean scale)
```
    Computes the discrete cosine transform (DCT-II) of each column of this matrix.
    
    Parameters:
    scale - if true then scaling is performed
  - dctRows
```
public void dctRows(boolean scale)
```
    Computes the discrete cosine transform (DCT-II) of each row of this matrix.
    
    Parameters:
    scale - if true then scaling is performed
  - dst2
```
public void dst2(boolean scale)
```
    Computes the 2D discrete sine transform (DST-II) of this matrix.
    
    Parameters:
    scale - if true then scaling is performed
  - dstColumns
```
public void dstColumns(boolean scale)
```
    Computes the discrete sine transform (DST-II) of each column of this matrix.
    
    Parameters:
    scale - if true then scaling is performed
  - dstRows
```
public void dstRows(boolean scale)
```
    Computes the discrete sine transform (DST-II) of each row of this matrix.
    
    Parameters:
    scale - if true then scaling is performed
  - dht2
```
public void dht2()
```
    Computes the 2D discrete Hartley transform (DHT) of this matrix.
  - dhtColumns
```
public void dhtColumns()
```
    Computes the discrete Hertley transform (DHT) of each column of this matrix.
  - dhtRows
```
public void dhtRows()
```
    Computes the discrete Hertley transform (DHT) of each row of this matrix.
  - fft2
```
public void fft2()
```
    Computes the 2D discrete Fourier transform (DFT) of this matrix. The physical layout of the output data is as follows:
```
 this[k1][2*k2] = Re[k1][k2] = Re[rows-k1][columns-k2], 
 this[k1][2*k2+1] = Im[k1][k2] = -Im[rows-k1][columns-k2], 
       0<k1<rows, 0<k2<columns/2, 
 this[0][2*k2] = Re[0][k2] = Re[0][columns-k2], 
 this[0][2*k2+1] = Im[0][k2] = -Im[0][columns-k2], 
       0<k2<columns/2, 
 this[k1][0] = Re[k1][0] = Re[rows-k1][0], 
 this[k1][1] = Im[k1][0] = -Im[rows-k1][0], 
 this[rows-k1][1] = Re[k1][columns/2] = Re[rows-k1][columns/2], 
 this[rows-k1][0] = -Im[k1][columns/2] = Im[rows-k1][columns/2], 
       0<k1<rows/2, 
 this[0][0] = Re[0][0], 
 this[0][1] = Re[0][columns/2], 
 this[rows/2][0] = Re[rows/2][0], 
 this[rows/2][1] = Re[rows/2][columns/2]
 
```
    This method computes only half of the elements of the real transform. The other half satisfies the symmetry condition. If you want the full real forward transform, use getFft2. To get back the original data, use ifft2.
    Throws:
    
    IllegalArgumentException - if the row size or the column size of this matrix is not a power of 2 number.
  - getFft2
```
public DenseLargeFComplexMatrix2D getFft2()
```
    Returns new complex matrix which is the 2D discrete Fourier transform (DFT) of this matrix.
    
    Returns:
    the 2D discrete Fourier transform (DFT) of this matrix.
  - getIfft2
```
public DenseLargeFComplexMatrix2D getIfft2(boolean scale)
```
    Returns new complex matrix which is the 2D inverse of the discrete Fourier transform (IDFT) of this matrix.
    
    Returns:
    the 2D inverse of the discrete Fourier transform (IDFT) of this matrix.
  - getFftColumns
```
public DenseLargeFComplexMatrix2D getFftColumns()
```
    Returns new complex matrix which is the discrete Fourier transform (DFT) of each column of this matrix.
    
    Returns:
    the discrete Fourier transform (DFT) of each column of this matrix.
  - getFftRows
```
public DenseLargeFComplexMatrix2D getFftRows()
```
    Returns new complex matrix which is the discrete Fourier transform (DFT) of each row of this matrix.
    
    Returns:
    the discrete Fourier transform (DFT) of each row of this matrix.
  - getIfftColumns
```
public DenseLargeFComplexMatrix2D getIfftColumns(boolean scale)
```
    Returns new complex matrix which is the inverse of the discrete Fourier transform (IDFT) of each column of this matrix.
    
    Returns:
    the inverse of the discrete Fourier transform (IDFT) of each column of this matrix.
  - getIfftRows
```
public DenseLargeFComplexMatrix2D getIfftRows(boolean scale)
```
    Returns new complex matrix which is the inverse of the discrete Fourier transform (IDFT) of each row of this matrix.
    
    Returns:
    the inverse of the discrete Fourier transform (IDFT) of each row of this matrix.
  - idct2
```
public void idct2(boolean scale)
```
    Computes the 2D inverse of the discrete cosine transform (DCT-III) of this matrix.
    
    Parameters:
    scale - if true then scaling is performed
  - idctColumns
```
public void idctColumns(boolean scale)
```
    Computes the inverse of the discrete cosine transform (DCT-III) of each column of this matrix.
    
    Parameters:
    scale - if true then scaling is performed
  - idctRows
```
public void idctRows(boolean scale)
```
    Computes the inverse of the discrete cosine transform (DCT-III) of each row of this matrix.
    
    Parameters:
    scale - if true then scaling is performed
  - idst2
```
public void idst2(boolean scale)
```
    Computes the 2D inverse of the discrete size transform (DST-III) of this matrix.
    
    Parameters:
    scale - if true then scaling is performed
  - idstColumns
```
public void idstColumns(boolean scale)
```
    Computes the inverse of the discrete sine transform (DST-III) of each column of this matrix.
    
    Parameters:
    scale - if true then scaling is performed
  - idstRows
```
public void idstRows(boolean scale)
```
    Computes the inverse of the discrete sine transform (DST-III) of each row of this matrix.
    
    Parameters:
    scale - if true then scaling is performed
  - idht2
```
public void idht2(boolean scale)
```
    Computes the 2D inverse of the discrete Hartley transform (DHT) of this matrix.
    
    Parameters:
    scale - if true then scaling is performed
  - idhtColumns
```
public void idhtColumns(boolean scale)
```
    Computes the inverse of the discrete Hartley transform (DHT) of each column of this matrix.
    
    Parameters:
    scale - if true then scaling is performed
  - idhtRows
```
public void idhtRows(boolean scale)
```
    Computes the inverse of the discrete Hartley transform (DHT) of each row of this matrix.
    
    Parameters:
    scale - if true then scaling is performed
  - ifft2
```
public void ifft2(boolean scale)
```
    Computes the 2D inverse of the discrete Fourier transform (IDFT) of this matrix. The physical layout of the input data has to be as follows:
```
 this[k1][2*k2] = Re[k1][k2] = Re[rows-k1][columns-k2], 
 this[k1][2*k2+1] = Im[k1][k2] = -Im[rows-k1][columns-k2], 
       0<k1<rows, 0<k2<columns/2, 
 this[0][2*k2] = Re[0][k2] = Re[0][columns-k2], 
 this[0][2*k2+1] = Im[0][k2] = -Im[0][columns-k2], 
       0<k2<columns/2, 
 this[k1][0] = Re[k1][0] = Re[rows-k1][0], 
 this[k1][1] = Im[k1][0] = -Im[rows-k1][0], 
 this[rows-k1][1] = Re[k1][columns/2] = Re[rows-k1][columns/2], 
 this[rows-k1][0] = -Im[k1][columns/2] = Im[rows-k1][columns/2], 
       0<k1<rows/2, 
 this[0][0] = Re[0][0], 
 this[0][1] = Re[0][columns/2], 
 this[rows/2][0] = Re[rows/2][0], 
 this[rows/2][1] = Re[rows/2][columns/2]
 
```
    This method computes only half of the elements of the real transform. The other half satisfies the symmetry condition. If you want the full real inverse transform, use getIfft2.
    Parameters:
    scale - if true then scaling is performed
    
    Throws:
    
    IllegalArgumentException - if the row size or the column size of this matrix is not a power of 2 number.
  - setQuick
```
public void setQuick(int row,
            int column,
            float value)
```
    Description copied from class: FloatMatrix2D
    
    Sets the matrix cell at coordinate [row,column] to the specified value.
    Provided with invalid parameters this method may access illegal indexes without throwing any exception. You should only use this method when you are absolutely sure that the coordinate is within bounds. Precondition (unchecked): 0 <= column < columns() && 0 <= row < rows().
    
    Specified by:
    
    setQuick in class FloatMatrix2D
    
    Parameters:
    row - the index of the row-coordinate.
    column - the index of the column-coordinate.
    value - the value to be filled into the specified cell.
  - vectorize
```
public FloatMatrix1D vectorize()
```
    Description copied from class: FloatMatrix2D
    
    Returns a vector obtained by stacking the columns of the matrix on top of one another.
    
    Specified by:
    
    vectorize in class FloatMatrix2D
    
    Returns:
    a vector of columns of this matrix.
  - viewColumn
```
public FloatMatrix1D viewColumn(int column)
```
    Description copied from class: FloatMatrix2D
    
    Constructs and returns a new slice view representing the rows of the given column. The returned view is backed by this matrix, so changes in the returned view are reflected in this matrix, and vice-versa. To obtain a slice view on subranges, construct a sub-ranging view ( viewPart(...)), then apply this method to the sub-range view.
    Example:
    
    2 x 3 matrix:
    1, 2, 3
    4, 5, 6 viewColumn(0) ==> Matrix1D of size 2:
    1, 4
    
    Overrides:
    
    viewColumn in class FloatMatrix2D
    
    Parameters:
    column - the column to fix.
    
    Returns:
    a new slice view.
    See Also:
    FloatMatrix2D.viewRow(int)
  - viewColumnFlip
```
public FloatMatrix2D viewColumnFlip()
```
    Description copied from class: FloatMatrix2D
    
    Constructs and returns a new flip view along the column axis. What used to be column 0 is now column columns()-1, ..., what used to be column columns()-1 is now column 0. The returned view is backed by this matrix, so changes in the returned view are reflected in this matrix, and vice-versa.
    Example:
    
    2 x 3 matrix:
    1, 2, 3
    4, 5, 6 columnFlip ==> 2 x 3 matrix:
    3, 2, 1
    6, 5, 4 columnFlip ==> 2 x 3 matrix:
    1, 2, 3
    4, 5, 6
    
    Overrides:
    
    viewColumnFlip in class FloatMatrix2D
    
    Returns:
    a new flip view.
    See Also:
    FloatMatrix2D.viewRowFlip()
  - viewDice
```
public FloatMatrix2D viewDice()
```
    Description copied from class: FloatMatrix2D
    
    Constructs and returns a new dice (transposition) view; Swaps axes; example: 3 x 4 matrix --> 4 x 3 matrix. The view has both dimensions exchanged; what used to be columns become rows, what used to be rows become columns. In other words: view.get(row,column)==this.get(column,row). This is a zero-copy transposition, taking O(1), i.e. constant time. The returned view is backed by this matrix, so changes in the returned view are reflected in this matrix, and vice-versa. Use idioms like result = viewDice(A).copy() to generate an independent transposed matrix.
    Example:
    
    2 x 3 matrix:
    1, 2, 3
    4, 5, 6 transpose ==> 3 x 2 matrix:
    1, 4
    2, 5
    3, 6 transpose ==> 2 x 3 matrix:
    1, 2, 3
    4, 5, 6
    
    Overrides:
    
    viewDice in class FloatMatrix2D
    
    Returns:
    a new dice view.
  - viewPart
```
public FloatMatrix2D viewPart(int row,
                     int column,
                     int height,
                     int width)
```
    Description copied from class: FloatMatrix2D
    
    Constructs and returns a new sub-range view that is a height x width sub matrix starting at [row,column]. Operations on the returned view can only be applied to the restricted range. Any attempt to access coordinates not contained in the view will throw an IndexOutOfBoundsException.
    Note that the view is really just a range restriction: The returned matrix is backed by this matrix, so changes in the returned matrix are reflected in this matrix, and vice-versa.
    The view contains the cells from [row,column] to [row+height-1,column+width-1], all inclusive. and has view.rows() == height; view.columns() == width;. A view's legal coordinates are again zero based, as usual. In other words, legal coordinates of the view range from [0,0] to [view.rows()-1==height-1,view.columns()-1==width-1]. As usual, any attempt to access a cell at a coordinate column<0 || column>=view.columns() || row<0 || row>=view.rows() will throw an IndexOutOfBoundsException.
    
    Overrides:
    
    viewPart in class FloatMatrix2D
    
    Parameters:
    row - The index of the row-coordinate.
    column - The index of the column-coordinate.
    height - The height of the box.
    width - The width of the box.
    
    Returns:
    the new view.
  - viewRow
```
public FloatMatrix1D viewRow(int row)
```
    Description copied from class: FloatMatrix2D
    
    Constructs and returns a new slice view representing the columns of the given row. The returned view is backed by this matrix, so changes in the returned view are reflected in this matrix, and vice-versa. To obtain a slice view on subranges, construct a sub-ranging view ( viewPart(...)), then apply this method to the sub-range view.
    Example:
    
    2 x 3 matrix:
    1, 2, 3
    4, 5, 6 viewRow(0) ==> Matrix1D of size 3:
    1, 2, 3
    
    Overrides:
    
    viewRow in class FloatMatrix2D
    
    Parameters:
    row - the row to fix.
    
    Returns:
    a new slice view.
    See Also:
    FloatMatrix2D.viewColumn(int)
  - viewRowFlip
```
public FloatMatrix2D viewRowFlip()
```
    Description copied from class: FloatMatrix2D
    
    Constructs and returns a new flip view along the row axis. What used to be row 0 is now row rows()-1, ..., what used to be row rows()-1 is now row 0. The returned view is backed by this matrix, so changes in the returned view are reflected in this matrix, and vice-versa.
    Example:
    
    2 x 3 matrix:
    1, 2, 3
    4, 5, 6 rowFlip ==> 2 x 3 matrix:
    4, 5, 6
    1, 2, 3 rowFlip ==> 2 x 3 matrix:
    1, 2, 3
    4, 5, 6
    
    Overrides:
    
    viewRowFlip in class FloatMatrix2D
    
    Returns:
    a new flip view.
    See Also:
    FloatMatrix2D.viewColumnFlip()
  - viewSelection
```
public FloatMatrix2D viewSelection(int[] rowIndexes,
                          int[] columnIndexes)
```
    Description copied from class: FloatMatrix2D
    Constructs and returns a new selection view that is a matrix holding the indicated cells. There holds view.rows() == rowIndexes.length, view.columns() == columnIndexes.length and view.get(i,j) == this.get(rowIndexes[i],columnIndexes[j]). Indexes can occur multiple times and can be in arbitrary order.
    Example:
```
         this = 2 x 3 matrix:
         1, 2, 3
         4, 5, 6
         rowIndexes     = (0,1)
         columnIndexes  = (1,0,1,0)
         -->
         view = 2 x 4 matrix:
         2, 1, 2, 1
         5, 4, 5, 4
 
 
```
    Note that modifying the index arguments after this call has returned has no effect on the view. The returned view is backed by this matrix, so changes in the returned view are reflected in this matrix, and vice-versa.
    To indicate "all" rows or "all columns", simply set the respective parameter
    Overrides:
    
    viewSelection in class FloatMatrix2D
    
    Parameters:
    rowIndexes - The rows of the cells that shall be visible in the new view. To indicate that all rows shall be visible, simply set this parameter to null.
    columnIndexes - The columns of the cells that shall be visible in the new view. To indicate that all columns shall be visible, simply set this parameter to null.
    
    Returns:
    the new view.
  - viewStrides
```
public FloatMatrix2D viewStrides(int _rowStride,
                        int _columnStride)
```
    Description copied from class: FloatMatrix2D
    
    Constructs and returns a new stride view which is a sub matrix consisting of every i-th cell. More specifically, the view has this.rows()/rowStride rows and this.columns()/columnStride columns holding cells this.get(i*rowStride,j*columnStride) for all i = 0..rows()/rowStride - 1, j = 0..columns()/columnStride - 1. The returned view is backed by this matrix, so changes in the returned view are reflected in this matrix, and vice-versa.
    
    Overrides:
    
    viewStrides in class FloatMatrix2D
    
    Parameters:
    _rowStride - the row step factor.
    _columnStride - the column step factor.
    
    Returns:
    a new view.

Class WrapperFloatMatrix2D

Constructor Summary

Method Summary

Methods inherited from class cern.colt.matrix.tfloat.FloatMatrix2D

Methods inherited from class cern.colt.matrix.AbstractMatrix2D

Methods inherited from class cern.colt.matrix.AbstractMatrix

Methods inherited from class cern.colt.PersistentObject

Methods inherited from class java.lang.Object

Constructor Detail

WrapperFloatMatrix2D

Method Detail

assign

assign

elements

getQuick

equals

equals

like

like1D

dct2

dctColumns

dctRows

dst2

dstColumns

dstRows

dht2

dhtColumns

dhtRows

fft2

getFft2

getIfft2

getFftColumns

getFftRows

getIfftColumns

getIfftRows

idct2

idctColumns

idctRows

idst2

idstColumns

idstRows

idht2

idhtColumns

idhtRows

ifft2

setQuick

vectorize

viewColumn

viewColumnFlip

viewDice

viewPart

viewRow

viewRowFlip

viewSelection

viewStrides