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

Class DoubleVectorDataSparse

java.lang.Object

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

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

org.djunits.value.vdouble.vector.data.DoubleVectorDataSparse

All Implemented Interfaces:

Serializable, Cloneable

public class DoubleVectorDataSparse
extends DoubleVectorData

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

Copyright (c) 2013-2020 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

Field Summary

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

PARALLEL_THRESHOLD, vectorSI

Constructor Summary

Constructors

Constructor	Description
DoubleVectorDataSparse(double[] vectorSI, int[] indices, int size)	Create a vector with sparse data.

Method Summary

Modifier and Type	Method	Description
DoubleVectorData	assign(DoubleFunction doubleFunction)	Apply an operation to each cell.
DoubleVectorDataSparse	assign(DoubleFunction2 doubleFunction, 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.
DoubleVectorDataSparse	copy()	Create and return a deep copy of the data.
DoubleVectorData	divide(DoubleVectorData right)	Divide two vectors on a cell-by-cell basis.
boolean	equals(Object obj)
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.
int	hashCode()
static DoubleVectorDataSparse	instantiate(double[] valuesSI)	Instantiate a DoubleVectorDataSparse from an array.
DoubleVectorData	minus(DoubleVectorData right)	Subtract two vectors on a cell-by-cell basis.
DoubleVectorData	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, 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 Details

DoubleVectorDataSparse

public DoubleVectorDataSparse(double[] vectorSI, int[] indices, int size)

Create a vector with sparse data.

Parameters:

vectorSI - double[]; the data to store

indices - int[]; the index values of the Vector

size - int; the length of the vector (padded with 0 after highest index in indices)

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<DoubleVectorData>

Returns:

int; the number of non-zero cells

assign

public DoubleVectorData 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 DoubleVectorDataSparse assign(DoubleFunction2 doubleFunction, DoubleVectorData right)

Apply a binary operation on a cell by cell basis.

Specified by:

assign in class DoubleVectorData

Parameters:

doubleFunction - 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 DoubleVectorDataSparse 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

instantiate

public static DoubleVectorDataSparse instantiate(double[] valuesSI)

Instantiate a DoubleVectorDataSparse from an array.

Parameters:

valuesSI - double[]; the (SI) values to store

Returns:

the DoubleVectorDataSparse

plus

public final DoubleVectorData 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 DoubleVectorData 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) throws ValueRuntimeException

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

Throws:

ValueRuntimeException - if vectors have different lengths

hashCode

public int hashCode()

Overrides:

hashCode in class DoubleVectorData

equals

public boolean equals(Object obj)

Overrides:

equals in class DoubleVectorData