Package org.djunits.value.vfloat.vector.data

Class FloatVectorDataSparse

java.lang.Object
org.djunits.value.storage.Storage<FloatVectorData>
org.djunits.value.vfloat.vector.data.FloatVectorData
org.djunits.value.vfloat.vector.data.FloatVectorDataSparse
All Implemented Interfaces:
Serializable, Cloneable
public class FloatVectorDataSparse extends FloatVectorData
Stores sparse data for a FloatVector 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

    • FloatVectorDataSparse

      public FloatVectorDataSparse(float[] vectorSI, int[] indices, int size)
      Create a vector with sparse data.
      Parameters:
      vectorSI - the data to store
      indices - the index values of the Vector
      size - the length of the vector (padded with 0 after highest index in indices)

  • 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<FloatVectorData>
      Returns:
      the number of non-zero cells

    • assign

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

    • assign

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

    • toDense

      public final FloatVectorDataDense toDense()
      Description copied from class: FloatVectorData
      Return the densely stored equivalent of this data.
      Specified by:
      toDense in class FloatVectorData
      Returns:
      the dense transformation of this data

    • toSparse

      public final FloatVectorDataSparse toSparse()
      Description copied from class: FloatVectorData
      Return the sparsely stored equivalent of this data.
      Specified by:
      toSparse in class FloatVectorData
      Returns:
      the sparse transformation of this data

    • size

      public final int size()
      Description copied from class: FloatVectorData
      Retrieve the size of the vector.
      Specified by:
      size in class FloatVectorData
      Returns:
      the size of the vector

    • getSI

      public final float getSI(int index)
      Description copied from class: FloatVectorData
      Retrieve the SI value of one element of this data.
      Specified by:
      getSI in class FloatVectorData
      Parameters:
      index - the index to get the value for
      Returns:
      the value at the index

    • setSI

      public final void setSI(int index, float valueSI)
      Description copied from class: FloatVectorData
      Sets a value at the index in the vector.
      Specified by:
      setSI in class FloatVectorData
      Parameters:
      index - the index to set the value for
      valueSI - the value at the index

    • getDenseVectorSI

      public final float[] getDenseVectorSI()
      Description copied from class: FloatVectorData
      Create and return a dense copy of the data.
      Specified by:
      getDenseVectorSI in class FloatVectorData
      Returns:
      a safe copy of VectorSI

    • copy

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

    • instantiate

      public static FloatVectorDataSparse instantiate(float[] valuesSI)
      Instantiate a FloatVectorDataSparse from an array.
      Parameters:
      valuesSI - the (SI) values to store
      Returns:
      the FloatVectorDataSparse

    • plus

      public final FloatVectorData plus(FloatVectorData right)
      Description copied from class: FloatVectorData
      Add two vectors on a cell-by-cell basis. If both vectors are sparse, a sparse vector is returned, otherwise a dense vector is returned.
      Specified by:
      plus in class FloatVectorData
      Parameters:
      right - the other data object to add
      Returns:
      the sum of this data object and the other data object

    • minus

      public final FloatVectorData minus(FloatVectorData right)
      Description copied from class: FloatVectorData
      Subtract two vectors on a cell-by-cell basis. If both vectors are sparse, a sparse vector is returned, otherwise a dense vector is returned.
      Specified by:
      minus in class FloatVectorData
      Parameters:
      right - the other data object to subtract
      Returns:
      the difference of this data object and the other data object

    • times

      public final FloatVectorData times(FloatVectorData right)
      Description copied from class: FloatVectorData
      Multiply two vector on a cell-by-cell basis. If both vectors are dense, a dense vector is returned, otherwise a sparse vector is returned.
      Specified by:
      times in class FloatVectorData
      Parameters:
      right - the other data object to multiply with
      Returns:
      a new double vector data store holding the result of the multiplications

    • divide

      public final FloatVectorData divide(FloatVectorData right) throws ValueRuntimeException
      Description copied from class: FloatVectorData
      Divide two vectors on a cell-by-cell basis. If this vector is sparse and right is dense, a sparse vector is returned, otherwise a dense vector is returned.
      Specified by:
      divide in class FloatVectorData
      Parameters:
      right - the other data object to divide by
      Returns:
      the ratios of the values of this data object and the other data object
      Throws:
      ValueRuntimeException - if vectors have different lengths

    • hashCode

      public int hashCode()
      Overrides:
      hashCode in class FloatVectorData

    • equals

      public boolean equals(Object obj)
      Overrides:
      equals in class FloatVectorData