Package org.djunits.value.vdouble.matrix.data

Class DoubleMatrixDataDense

java.lang.Object
org.djunits.value.storage.AbstractStorage<DoubleMatrixData>
org.djunits.value.vdouble.matrix.data.DoubleMatrixData
org.djunits.value.vdouble.matrix.data.DoubleMatrixDataDense
All Implemented Interfaces:
Serializable, Cloneable
public class DoubleMatrixDataDense
extends DoubleMatrixData
Stores dense data for a DoubleMatrix and carries out basic operations.

Copyright (c) 2013-2019 Delft University of Technology, PO Box 5, 2600 AA, Delft, the Netherlands. All rights reserved.
BSD-style license. See OpenTrafficSim License.

Author:
Alexander Verbraeck, Peter Knoppers
See Also:
Serialized Form

  • Constructor Details

    • DoubleMatrixDataDense

      public DoubleMatrixDataDense​(double[] matrixSI, int rows, int cols) throws ValueRuntimeException
      Create a matrix with dense data.
      Parameters:
      matrixSI - double[]; the data to store
      rows - int; the number of rows
      cols - int; the number of columns
      Throws:
      ValueRuntimeException - in case rows * cols != matrixSI.length

    • DoubleMatrixDataDense

      public DoubleMatrixDataDense​(double[][] matrixSI) throws ValueRuntimeException
      Create a matrix with dense data. The double array is of the form d[rows][columns] so each value can be found with d[row][column].
      Parameters:
      matrixSI - double[][]; the data to store
      Throws:
      ValueRuntimeException - in case matrix is ragged

  • Method Details

    • cardinality

      public final int cardinality()
      Compute and return the number of non-zero cells in this indexed value.
      Specified by:
      cardinality in class AbstractStorage<DoubleMatrixData>
      Returns:
      int; the number of non-zero cells

    • assign

      public final DoubleMatrixDataDense assign​(DoubleFunction doubleFunction)
      Apply an operation to each cell.
      Specified by:
      assign in class DoubleMatrixData
      Parameters:
      doubleFunction - DoubleFunction; the operation to apply
      Returns:
      DoubleMatrixData; this (modified) double matrix data object

    • assign

      public final DoubleMatrixDataDense assign​(DoubleFunction2 doubleFunction, DoubleMatrixData right)
      Apply a binary operation on a cell by cell basis.
      Specified by:
      assign in class DoubleMatrixData
      Parameters:
      doubleFunction - DoubleFunction2; the binary operation to apply
      right - DoubleMatrixData; the right operand for the binary operation
      Returns:
      DoubleMatrixData; this (modified) double matrix data object

    • toDense

      public final DoubleMatrixDataDense toDense()
      Return the data of this matrix in dense storage format.
      Specified by:
      toDense in class DoubleMatrixData
      Returns:
      DoubleMatrixDataDense; the dense transformation of this data

    • toSparse

      public final DoubleMatrixDataSparse toSparse()
      Return the data of this matrix in sparse storage format.
      Specified by:
      toSparse in class DoubleMatrixData
      Returns:
      DoubleMatrixDataSparse; the sparse transformation of this data

    • getSI

      public final double getSI​(int row, int col)
      Retrieve one value from this data.
      Specified by:
      getSI in class DoubleMatrixData
      Parameters:
      row - int; the row number to get the value for
      col - int; the column number to get the value for
      Returns:
      the value at the [row, col] point

    • setSI

      public final void setSI​(int row, int col, double valueSI)
      Sets a value at the [row, col] point in the matrix.
      Specified by:
      setSI in class DoubleMatrixData
      Parameters:
      row - int; the row number to set the value for
      col - int; the column number to set the value for
      valueSI - double; the value at the index

    • getDenseMatrixSI

      public final double[][] getDenseMatrixSI()
      Create and return a deep copy of the data in dense format. The double array is of the form d[rows][columns] so each value can be found with d[row][column].
      Specified by:
      getDenseMatrixSI in class DoubleMatrixData
      Returns:
      double[][]; a safe, dense copy of matrixSI as a matrix

    • copy

      public final DoubleMatrixDataDense copy()
      Create and return a deep copy of the data.
      Specified by:
      copy in class AbstractStorage<DoubleMatrixData>
      Returns:
      T; a deep copy of the data

    • plus

      public DoubleMatrixData plus​(DoubleMatrixData right) throws ValueRuntimeException
      Add two matrices on a cell-by-cell basis. If both matrices are sparse, a sparse matrix is returned, otherwise a dense matrix is returned.
      Specified by:
      plus in class DoubleMatrixData
      Parameters:
      right - DoubleMatrixData; the other data object to add
      Returns:
      the sum of this data object and the other data object
      Throws:
      ValueRuntimeException - if matrices have different lengths

    • minus

      public final DoubleMatrixDataDense minus​(DoubleMatrixData right)
      Subtract two matrices on a cell-by-cell basis. If both matrices are sparse, a sparse matrix is returned, otherwise a dense matrix is returned.
      Specified by:
      minus in class DoubleMatrixData
      Parameters:
      right - DoubleMatrixData; the other data object to subtract
      Returns:
      the sum of this data object and the other data object

    • times

      public DoubleMatrixData times​(DoubleMatrixData right) throws ValueRuntimeException
      Multiply two matrices on a cell-by-cell basis. If both matrices are dense, a dense matrix is returned, otherwise a sparse matrix is returned.
      Specified by:
      times in class DoubleMatrixData
      Parameters:
      right - DoubleMatrixData; the other data object to multiply with
      Returns:
      DoubleVectorData; a new double matrix data store holding the result of the multiplications
      Throws:
      ValueRuntimeException - if matrices have different sizes

    • divide

      public DoubleMatrixData divide​(DoubleMatrixData right) throws ValueRuntimeException
      Divide two matrices on a cell-by-cell basis. If this matrix is sparse and right is dense, a sparse matrix is returned, otherwise a dense matrix is returned.
      Specified by:
      divide in class DoubleMatrixData
      Parameters:
      right - DoubleMatrixData; the other data object to divide by
      Returns:
      DoubleMatrixData; the ratios of the values of this data object and the other data object
      Throws:
      ValueRuntimeException - if matrices have different sizes

    • toString

      public String toString()
      Overrides:
      toString in class Object