Documentation of 'cern.colt.matrix.tlong.impl.SparseCCLongMatrix2D' Java class
SparseCCLongMatrix2D
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cern.colt.matrix.tlong.impl

Class SparseCCLongMatrix2D

  • All Implemented Interfaces:
    java.io.Serializable, java.lang.Cloneable

    public class SparseCCLongMatrix2D
extends WrapperLongMatrix2D
    Sparse column-compressed 2-d matrix holding long elements. First see the package summary and javadoc tree view to get the broad picture.

    Implementation:

    Internally uses the standard sparse column-compressed format.
    Note that this implementation is not synchronized.

    Cells that

    • are never set to non-zero values do not use any memory.
    • switch from zero to non-zero state do use memory.
    • switch back from non-zero to zero state also do use memory. Their memory is not automatically reclaimed. Reclamation can be triggered via trimToSize().

    Time complexity:

    Getting a cell value takes time O(log nzr) where nzr is the number of non-zeros of the touched row. This is usually quick, because typically there are only few nonzeros per row. So, in practice, get has expected constant time. Setting a cell value takes worst-case time O(nz) where nzr is the total number of non-zeros in the matrix. This can be extremely slow, but if you traverse coordinates properly (i.e. upwards), each write is done much quicker: 

     // rather quick
 matrix.assign(0);
 for (int column = 0; column < columns; column++) {
     for (int row = 0; row < rows; row++) {
         if (someCondition)
             matrix.setQuick(row, column, someValue);
     }
 }
 
 // poor
 matrix.assign(0);
 for (int column = columns; --column >= 0;) {
     for (int row = rows; --row >= 0;) {
         if (someCondition)
             matrix.setQuick(row, column, someValue);
     }
 }
    If for whatever reasons you can't iterate properly, consider to create an empty dense matrix, store your non-zeros in it, then call sparse.assign(dense). Under the circumstances, this is still rather quick.

    Fast iteration over non-zeros can be done via forEachNonZero(cern.colt.function.tlong.IntIntLongFunction), which supplies your function with row, column and value of each nonzero. Although the internally implemented version is a bit more sophisticated, here is how a quite efficient user-level matrix-vector multiplication could look like: 

     // Linear algebraic y = A * x
 A.forEachNonZero(new cern.colt.function.IntIntLongFunction() {
     public long apply(int row, int column, long value) {
         y.setQuick(row, y.getQuick(row) + value * x.getQuick(column));
         return value;
     }
 });

    Here is how a a quite efficient user-level combined scaling operation could look like: 

     // Elementwise A = A + alpha*B
 B.forEachNonZero(new cern.colt.function.IntIntLongFunction() {
     public long apply(int row, int column, long value) {
         A.setQuick(row, column, A.getQuick(row, column) + alpha * value);
         return value;
     }
 });
    Method assign(LongMatrix2D,cern.colt.function.tlong.LongLongFunction) does just that if you supply LongFunctions.plusMultSecond(long) as argument.
    See Also:
    Serialized Form

    • Constructor Detail

      • SparseCCLongMatrix2D

        public SparseCCLongMatrix2D(long[][] values)
        Constructs a matrix with a copy of the given values. values is required to have the form values[row][column] and have exactly the same number of columns in every row.

        The values are copied. So subsequent changes in values are not reflected in the matrix, and vice-versa.

        Parameters:
        values - The values to be filled into the new matrix.
        Throws:
        java.lang.IllegalArgumentException - if for any 1 <= row < values.length: values[row].length != values[row-1].length .

      • SparseCCLongMatrix2D

        public SparseCCLongMatrix2D(int rows,
                            int columns)
        Constructs a matrix with a given number of rows and columns. All entries are initially 0.
        Parameters:
        rows - the number of rows the matrix shall have.
        columns - the number of columns the matrix shall have.
        Throws:
        java.lang.IllegalArgumentException - if rows<0 || columns<0 .

      • SparseCCLongMatrix2D

        public SparseCCLongMatrix2D(int rows,
                            int columns,
                            int nzmax)
        Constructs a matrix with a given number of rows and columns. All entries are initially 0.
        Parameters:
        rows - the number of rows the matrix shall have.
        columns - the number of columns the matrix shall have.
        nzmax - maximum number of nonzero elements
        Throws:
        java.lang.IllegalArgumentException - if rows<0 || columns<0 .

      • SparseCCLongMatrix2D

        public SparseCCLongMatrix2D(int rows,
                            int columns,
                            int[] rowIndexes,
                            int[] columnIndexes,
                            long value,
                            boolean removeDuplicates,
                            boolean sortRowIndexes)
        Constructs a matrix with indexes given in the coordinate format and a single value.
        Parameters:
        rows - the number of rows the matrix shall have.
        columns - the number of columns the matrix shall have.
        rowIndexes - row indexes
        columnIndexes - column indexes
        value - numerical value
        removeDuplicates - if true, then duplicates (if any) are removed
        sortRowIndexes - if true, then row indexes are sorted

      • SparseCCLongMatrix2D

        public SparseCCLongMatrix2D(int rows,
                            int columns,
                            int[] rowIndexes,
                            int[] columnIndexes,
                            long[] values,
                            boolean removeDuplicates,
                            boolean removeZeroes,
                            boolean sortRowIndexes)
        Constructs a matrix with indexes and values given in the coordinate format.
        Parameters:
        rows - the number of rows the matrix shall have.
        columns - the number of columns the matrix shall have.
        rowIndexes - row indexes
        columnIndexes - column indexes
        values - numerical values
        removeDuplicates - if true, then duplicates (if any) are removed
        removeZeroes - if true, then zeroes (if any) are removed
        sortRowIndexes - if true, then row indexes are sorted

    • Method Detail

      • assign

        public LongMatrix2D assign(LongFunction function)
        Description copied from class: LongMatrix2D
        Assigns the result of a function to each cell; x[row,col] = function(x[row,col]).

        Example: 

           matrix = 2 x 2 matrix 
   0.5 1.5      
   2.5 3.5
 
   // change each cell to its sine
   matrix.assign(cern.jet.math.Functions.sin);
   -->
   2 x 2 matrix
   0.479426  0.997495 
   0.598472 -0.350783
        For further examples, see the package doc.
        Overrides:
        assign in class LongMatrix2D
        Parameters:
        function - a function object taking as argument the current cell's value.
        Returns:
        this (for convenience only).
        See Also:
        LongFunctions

      • assign

        public LongMatrix2D assign(long value)
        Description copied from class: LongMatrix2D
        Sets all cells to the state specified by value.
        Overrides:
        assign in class LongMatrix2D
        Parameters:
        value - the value to be filled into the cells.
        Returns:
        this (for convenience only).

      • assign

        public LongMatrix2D assign(LongMatrix2D source)
        Description copied from class: LongMatrix2D
        Replaces all cell values of the receiver with the values of another matrix. Both matrices must have the same number of rows and columns. If both matrices share the same cells (as is the case if they are views derived from the same matrix) and intersect in an ambiguous way, then replaces as if using an intermediate auxiliary deep copy of other.
        Overrides:
        assign in class LongMatrix2D
        Parameters:
        source - the source matrix to copy from (may be identical to the receiver).
        Returns:
        this (for convenience only).

      • assign

        public LongMatrix2D assign(LongMatrix2D y,
                           LongLongFunction function)
        Description copied from class: LongMatrix2D
        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 WrapperLongMatrix2D
        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:
        LongFunctions

      • cardinality

        public int cardinality()
        Description copied from class: LongMatrix2D
        Returns the number of cells having non-zero values; ignores tolerance.
        Overrides:
        cardinality in class LongMatrix2D
        Returns:
        cardinality

      • forEachNonZero

        public LongMatrix2D forEachNonZero(IntIntLongFunction function)
        Description copied from class: LongMatrix2D
        Assigns the result of a function to each non-zero cell; x[row,col] = function(x[row,col]). Use this method for fast special-purpose iteration. If you want to modify another matrix instead of this (i.e. work in read-only mode), simply return the input value unchanged. Parameters to function are as follows: first==row, second==column, third==nonZeroValue.
        Overrides:
        forEachNonZero in class LongMatrix2D
        Parameters:
        function - a function object taking as argument the current non-zero cell's row, column and value.
        Returns:
        this (for convenience only).

      • getColumnPointers

        public int[] getColumnPointers()
        Returns column pointers
        Returns:
        column pointers

      • getDense

        public DenseLongMatrix2D getDense()
        Returns a new matrix that has the same elements as this matrix, but is in a dense form. This method creates a new object (not a view), so changes in the returned matrix are NOT reflected in this matrix.
        Returns:
        this matrix in a dense form

      • getQuick

        public long getQuick(int row,
                     int column)
        Description copied from class: LongMatrix2D
        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().

        Overrides:
        getQuick in class WrapperLongMatrix2D
        Parameters:
        row - the index of the row-coordinate.
        column - the index of the column-coordinate.
        Returns:
        the value at the specified coordinate.

      • getRowCompressed

        public SparseRCLongMatrix2D getRowCompressed()
        Returns a new matrix that has the same elements as this matrix, but is in a row-compressed form. This method creates a new object (not a view), so changes in the returned matrix are NOT reflected in this matrix.
        Returns:
        this matrix in a row-compressed form

      • getRowIndexes

        public int[] getRowIndexes()
        Returns row indexes;
        Returns:
        row indexes

      • getTranspose

        public SparseCCLongMatrix2D getTranspose()
        Returns a new matrix that is the transpose of this matrix. This method creates a new object (not a view), so changes in the returned matrix are NOT reflected in this matrix.
        Returns:
        the transpose of this matrix

      • getValues

        public long[] getValues()
        Returns numerical values
        Returns:
        numerical values

      • hasRowIndexesSorted

        public boolean hasRowIndexesSorted()
        Returns true if row indexes are sorted, false otherwise
        Returns:
        true if row indexes are sorted, false otherwise

      • like

        public LongMatrix2D like(int rows,
                         int columns)
        Description copied from class: LongMatrix2D
        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 DenseLongMatrix2D the new matrix must also be of type DenseLongMatrix2D, if the receiver is an instance of type SparseLongMatrix2D the new matrix must also be of type SparseLongMatrix2D, etc. In general, the new matrix should have internal parametrization as similar as possible.
        Overrides:
        like in class WrapperLongMatrix2D
        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 LongMatrix1D like1D(int size)
        Description copied from class: LongMatrix2D
        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 DenseLongMatrix2D the new matrix must be of type DenseLongMatrix1D, if the receiver is an instance of type SparseLongMatrix2D the new matrix must be of type SparseLongMatrix1D, etc.
        Overrides:
        like1D in class WrapperLongMatrix2D
        Parameters:
        size - the number of cells the matrix shall have.
        Returns:
        a new matrix of the corresponding dynamic type.

      • setQuick

        public void setQuick(int row,
                     int column,
                     long value)
        Description copied from class: LongMatrix2D
        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().

        Overrides:
        setQuick in class WrapperLongMatrix2D
        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.

      • sortRowIndexes

        public void sortRowIndexes()
        Sorts row indexes

      • removeDuplicates

        public void removeDuplicates()
        Removes (sums) duplicate entries (if any}

      • removeZeroes

        public void removeZeroes()
        Removes zero entries (if any)

      • trimToSize

        public void trimToSize()
        Description copied from class: AbstractMatrix
        Releases any superfluous internal memory. An application can use this operation to minimize the storage of the receiver.

        This default implementation does nothing. Override this method if necessary.

        Overrides:
        trimToSize in class AbstractMatrix

      • zMult

        public LongMatrix1D zMult(LongMatrix1D y,
                          LongMatrix1D z,
                          long alpha,
                          long beta,
                          boolean transposeA)
        Description copied from class: LongMatrix2D
        Linear algebraic matrix-vector multiplication; z = alpha * A * y + beta*z. z[i] = alpha*Sum(A[i,j] * y[j]) + beta*z[i], i=0..A.rows()-1, j=0..y.size()-1 . Where A == this.
        Note: Matrix shape conformance is checked after potential transpositions.
        Overrides:
        zMult in class LongMatrix2D
        Parameters:
        y - the source vector.
        z - the vector where results are to be stored. Set this parameter to null to indicate that a new result vector shall be constructed.
        Returns:
        z (for convenience only).

      • zMult

        public LongMatrix2D zMult(LongMatrix2D B,
                          LongMatrix2D C,
                          long alpha,
                          long beta,
                          boolean transposeA,
                          boolean transposeB)
        Description copied from class: LongMatrix2D
        Linear algebraic matrix-matrix multiplication; C = alpha * A x B + beta*C. C[i,j] = alpha*Sum(A[i,k] * B[k,j]) + beta*C[i,j], k=0..n-1.
        Matrix shapes: A(m x n), B(n x p), C(m x p).
        Note: Matrix shape conformance is checked after potential transpositions.
        Overrides:
        zMult in class LongMatrix2D
        Parameters:
        B - the second source matrix.
        C - the matrix where results are to be stored. Set this parameter to null to indicate that a new result matrix shall be constructed.
        Returns:
        C (for convenience only).
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