Package org.djunits.value.vdouble.vector.data

Class DoubleVectorDataDense

java.lang.Object

org.djunits.value.storage.AbstractStorage<DoubleVectorData>

org.djunits.value.vdouble.vector.data.DoubleVectorData

org.djunits.value.vdouble.vector.data.DoubleVectorDataDense

All Implemented Interfaces:

Serializable, Cloneable

public class DoubleVectorDataDense
extends DoubleVectorData

Stores dense data for a DoubleVector and carries out basic operations.

Copyright (c) 2013-2023 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:

Serialized Form

Field Summary

Fields inherited from class org.djunits.value.vdouble.vector.data.DoubleVectorData

PARALLEL_THRESHOLD, vectorSI

Constructor Summary

Constructors

Constructor	Description
DoubleVectorDataDense(double[] vectorSI)	Create a vector with dense data.

Method Summary

Modifier and Type	Method	Description
DoubleVectorDataDense	assign(DoubleFunction doubleFunction)	Apply an operation to each cell.
DoubleVectorDataDense	assign(DoubleFunction2 doubleFunction2, DoubleVectorData right)	Apply a binary operation on a cell by cell basis.
int	cardinality()	Compute and return the number of non-zero cells in this indexed value.
DoubleVectorDataDense	copy()	Create and return a deep copy of the data.
DoubleVectorData	divide(DoubleVectorData right)	Divide two vectors on a cell-by-cell basis.
double[]	getDenseVectorSI()	Create and return a dense copy of the data.
double	getSI(int index)	Retrieve the SI value of one element of this data.
DoubleVectorDataDense	minus(DoubleVectorData right)	Subtract two vectors on a cell-by-cell basis.
DoubleVectorDataDense	plus(DoubleVectorData right)	Add two vectors on a cell-by-cell basis.
void	setSI(int index, double valueSI)	Sets a value at the index in the vector.
int	size()	Retrieve the size of the vector.
DoubleVectorData	times(DoubleVectorData right)	Multiply two vectors on a cell-by-cell basis.
DoubleVectorDataDense	toDense()	Return the densely stored equivalent of this data.
DoubleVectorDataSparse	toSparse()	Return the sparsely stored equivalent of this data.

Methods inherited from class org.djunits.value.vdouble.vector.data.DoubleVectorData

checkSizes, compareDenseVectorWithSparseVector, decrementBy, divideBy, divideBy, equals, hashCode, incrementBy, instantiate, instantiate, instantiate, instantiate, instantiateList, instantiateMap, multiplyBy, multiplyBy, toString, zSum

Methods inherited from class org.djunits.value.storage.AbstractStorage

getStorageType, isDense, isSparse

Methods inherited from class java.lang.Object

clone, finalize, getClass, notify, notifyAll, wait, wait, wait

Constructor Detail

DoubleVectorDataDense

public DoubleVectorDataDense(double[] vectorSI)

Create a vector with dense data.

Parameters:

vectorSI - double[]; the data to store

Method Detail

cardinality

public final int cardinality()

Compute and return the number of non-zero cells in this indexed value.

Specified by:

cardinality in class AbstractStorage<DoubleVectorData>

Returns:

int; the number of non-zero cells

assign

public final DoubleVectorDataDense assign(DoubleFunction doubleFunction)

Apply an operation to each cell.

Specified by:

assign in class DoubleVectorData

Parameters:

doubleFunction - DoubleFunction; the operation to apply

Returns:

DoubleVectorData; this (modified) double vector data object

assign

public final DoubleVectorDataDense assign(DoubleFunction2 doubleFunction2,
                                          DoubleVectorData right)

Apply a binary operation on a cell by cell basis.

Specified by:

assign in class DoubleVectorData

Parameters:

doubleFunction2 - DoubleFunction2; the binary operation to apply

right - DoubleVectorData; the right operand for the binary operation

Returns:

DoubleVectorData; this (modified) double vector data object

toDense

public final DoubleVectorDataDense toDense()

Return the densely stored equivalent of this data.

Specified by:

toDense in class DoubleVectorData

Returns:

DoubleVectorDataDense; the dense transformation of this data

toSparse

public final DoubleVectorDataSparse toSparse()

Return the sparsely stored equivalent of this data.

Specified by:

toSparse in class DoubleVectorData

Returns:

DoubleVectorDataSparse; the sparse transformation of this data

size

public final int size()

Retrieve the size of the vector.

Specified by:

size in class DoubleVectorData

Returns:

int; the size of the vector

getSI

public final double getSI(int index)

Retrieve the SI value of one element of this data.

Specified by:

getSI in class DoubleVectorData

Parameters:

index - int; the index to get the value for

Returns:

double; the value at the index

setSI

public final void setSI(int index,
                        double valueSI)

Sets a value at the index in the vector.

Specified by:

setSI in class DoubleVectorData

Parameters:

index - int; the index to set the value for

valueSI - double; the value at the index

getDenseVectorSI

public final double[] getDenseVectorSI()

Create and return a dense copy of the data.

Specified by:

getDenseVectorSI in class DoubleVectorData

Returns:

double[]; a safe copy of VectorSI

copy

public final DoubleVectorDataDense copy()

Create and return a deep copy of the data.

Specified by:

copy in class AbstractStorage<DoubleVectorData>

Returns:

T; a deep copy of the data

plus

public final DoubleVectorDataDense plus(DoubleVectorData right)

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. Neither of the two objects is changed.

Specified by:

plus in class DoubleVectorData

Parameters:

right - DoubleVectorData; the other data object to add

Returns:

DoubleVectorData; the sum of this data object and the other data object as a new data object

minus

public final DoubleVectorDataDense minus(DoubleVectorData right)

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. Neither of the two objects is changed.

Specified by:

minus in class DoubleVectorData

Parameters:

right - DoubleVectorData; the other data object to subtract

Returns:

DoubleVectorData; the difference of this data object and the other data object as a new data object

times

public final DoubleVectorData times(DoubleVectorData right)

Multiply two vectors 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 DoubleVectorData

Parameters:

right - DoubleVectorData; the other data object to multiply with

Returns:

DoubleVectorData; a new double vector data store holding the result of the multiplications

divide

public final DoubleVectorData divide(DoubleVectorData right)

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 DoubleVectorData

Parameters:

right - DoubleVectorData; the other data object to divide by

Returns:

DoubleVectorData; the ratios of the values of this data object and the other data object