Package org.djunits.value.vfloat.matrix.data

Class FloatMatrixDataDense

java.lang.Object
org.djunits.value.storage.Storage<FloatMatrixData>
org.djunits.value.vfloat.matrix.data.FloatMatrixData
org.djunits.value.vfloat.matrix.data.FloatMatrixDataDense
All Implemented Interfaces:
Serializable, Cloneable
public class FloatMatrixDataDense extends FloatMatrixData
Stores dense data for a FloatMatrix and carries out basic operations.

Copyright (c) 2013-2025 Delft University of Technology, PO Box 5, 2600 AA, Delft, the Netherlands. All rights reserved.
BSD-style license. See DJUNITS License.

Author:
Alexander Verbraeck, Peter Knoppers
See Also:

  • Constructor Details

    • FloatMatrixDataDense

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

    • FloatMatrixDataDense

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

  • Method Details

    • cardinality

      public final int cardinality()
      Description copied from class: Storage
      Compute and return the number of non-zero cells in this indexed value.
      Specified by:
      cardinality in class Storage<FloatMatrixData>
      Returns:
      the number of non-zero cells

    • assign

      public final FloatMatrixDataDense assign(FloatFunction floatFunction)
      Description copied from class: FloatMatrixData
      Apply an operation to each cell.
      Specified by:
      assign in class FloatMatrixData
      Parameters:
      floatFunction - the operation to apply
      Returns:
      this (modified) double vector data object

    • assign

      public final FloatMatrixDataDense assign(FloatFunction2 floatFunction, FloatMatrixData right)
      Description copied from class: FloatMatrixData
      Apply a binary operation on a cell by cell basis.
      Specified by:
      assign in class FloatMatrixData
      Parameters:
      floatFunction - the binary operation to apply
      right - the right operand for the binary operation
      Returns:
      this (modified) double matrix data object

    • toDense

      public final FloatMatrixDataDense toDense()
      Description copied from class: FloatMatrixData
      Return the data of this matrix in dense storage format.
      Specified by:
      toDense in class FloatMatrixData
      Returns:
      the dense transformation of this data

    • toSparse

      public final FloatMatrixDataSparse toSparse()
      Description copied from class: FloatMatrixData
      Return the data of this matrix in sparse storage format.
      Specified by:
      toSparse in class FloatMatrixData
      Returns:
      the sparse transformation of this data

    • getSI

      public final float getSI(int row, int col)
      Description copied from class: FloatMatrixData
      Retrieve one value from this data.
      Specified by:
      getSI in class FloatMatrixData
      Parameters:
      row - the row number to get the value for
      col - 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, float valueSI)
      Description copied from class: FloatMatrixData
      Sets a value at the [row, col] point in the matrix.
      Specified by:
      setSI in class FloatMatrixData
      Parameters:
      row - the row number to set the value for
      col - the column number to set the value for
      valueSI - the value at the index

    • getDenseMatrixSI

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

    • getDoubleDenseMatrixSI

      public final double[][] getDoubleDenseMatrixSI()
      Description copied from class: FloatMatrixData
      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:
      getDoubleDenseMatrixSI in class FloatMatrixData
      Returns:
      a safe, dense copy of matrixSI as a matrix

    • copy

      public final FloatMatrixDataDense copy()
      Description copied from class: Storage
      Create and return a deep copy of the data.
      Specified by:
      copy in class Storage<FloatMatrixData>
      Returns:
      a deep copy of the data

    • plus

      public FloatMatrixData plus(FloatMatrixData right) throws ValueRuntimeException
      Description copied from class: FloatMatrixData
      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 FloatMatrixData
      Parameters:
      right - 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 FloatMatrixDataDense minus(FloatMatrixData right)
      Description copied from class: FloatMatrixData
      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 FloatMatrixData
      Parameters:
      right - the other data object to subtract
      Returns:
      the sum of this data object and the other data object

    • times

      public FloatMatrixData times(FloatMatrixData right) throws ValueRuntimeException
      Description copied from class: FloatMatrixData
      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 FloatMatrixData
      Parameters:
      right - the other data object to multiply with
      Returns:
      a new double matrix data store holding the result of the multiplications
      Throws:
      ValueRuntimeException - if matrices have different sizes

    • divide

      public FloatMatrixData divide(FloatMatrixData right) throws ValueRuntimeException
      Description copied from class: FloatMatrixData
      Divide 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:
      divide in class FloatMatrixData
      Parameters:
      right - the other data object to divide by
      Returns:
      the sum of this data object and the other data object
      Throws:
      ValueRuntimeException - if matrices have different sizes