Uses of Class
org.apfloat.spi.DataStorage

Packages that use DataStorage

Package	Description
org.apfloat.aparapi	Transforms for using a GPU via the aparapi library.
org.apfloat.internal	Default implementations of the apfloat Service Provider Interface (SPI).
org.apfloat.spi	The apfloat Service Provider Interface (SPI).

Uses of DataStorage in org.apfloat.aparapi

Methods in org.apfloat.aparapi with parameters of type DataStorage

Modifier and Type	Method	Description
protected ArrayAccess	ColumnTwoPassFNTStrategy.getColumns(DataStorage dataStorage, int startColumn, int columns, int rows)
protected ArrayAccess	ColumnTwoPassFNTStrategy.getRows(DataStorage dataStorage, int startRow, int rows, int columns)
void	IntAparapiFactor3NTTStrategy.inverseTransform(DataStorage dataStorage, int modulus, long totalTransformLength)
void	LongAparapiFactor3NTTStrategy.inverseTransform(DataStorage dataStorage, int modulus, long totalTransformLength)
void	IntAparapiFactor3NTTStrategy.transform(DataStorage dataStorage, int modulus)
void	LongAparapiFactor3NTTStrategy.transform(DataStorage dataStorage, int modulus)
void	IntAparapiFactor3NTTStepStrategy.transformColumns(DataStorage dataStorage0, DataStorage dataStorage1, DataStorage dataStorage2, long startColumn, long columns, long power2length, long length, boolean isInverse, int modulus)
void	LongAparapiFactor3NTTStepStrategy.transformColumns(DataStorage dataStorage0, DataStorage dataStorage1, DataStorage dataStorage2, long startColumn, long columns, long power2length, long length, boolean isInverse, int modulus)

Uses of DataStorage in org.apfloat.internal

Subclasses of DataStorage in org.apfloat.internal

Modifier and Type	Class	Description
class	DiskDataStorage	Abstract base class for disk-based data storage, containing the common functionality independent of the element type.
class	DoubleDiskDataStorage	Disk-based data storage for the double element type.
class	DoubleMemoryDataStorage	Memory based data storage implementation for the double element type.
class	FloatDiskDataStorage	Disk-based data storage for the float element type.
class	FloatMemoryDataStorage	Memory based data storage implementation for the float element type.
class	IntDiskDataStorage	Disk-based data storage for the int element type.
class	IntMemoryDataStorage	Memory based data storage implementation for the int element type.
class	LongDiskDataStorage	Disk-based data storage for the long element type.
class	LongMemoryDataStorage	Memory based data storage implementation for the long element type.

Methods in org.apfloat.internal that return DataStorage

Modifier and Type	Method	Description
protected DataStorage	ThreeNTTConvolutionStrategy.autoConvolute(DataStorage x, long resultSize)	Convolutes a data set with itself.
protected DataStorage	ThreeNTTConvolutionStrategy.autoConvoluteOne(DataStorage x, long length, int modulus, boolean cached)	Performs an autoconvolution modulo one modulus, of the specified transform length.
DataStorage	StepCarryCRTStrategy.carryCRT(DataStorage resultMod0, DataStorage resultMod1, DataStorage resultMod2, long resultSize)	Calculate the final result of a three-NTT convolution.
DataStorage	DoubleKaratsubaConvolutionStrategy.convolute(DataStorage x, DataStorage y, long resultSize)
DataStorage	DoubleMediumConvolutionStrategy.convolute(DataStorage x, DataStorage y, long resultSize)
DataStorage	DoubleShortConvolutionStrategy.convolute(DataStorage x, DataStorage y, long resultSize)
DataStorage	FloatKaratsubaConvolutionStrategy.convolute(DataStorage x, DataStorage y, long resultSize)
DataStorage	FloatMediumConvolutionStrategy.convolute(DataStorage x, DataStorage y, long resultSize)
DataStorage	FloatShortConvolutionStrategy.convolute(DataStorage x, DataStorage y, long resultSize)
DataStorage	IntKaratsubaConvolutionStrategy.convolute(DataStorage x, DataStorage y, long resultSize)
DataStorage	IntMediumConvolutionStrategy.convolute(DataStorage x, DataStorage y, long resultSize)
DataStorage	IntShortConvolutionStrategy.convolute(DataStorage x, DataStorage y, long resultSize)
DataStorage	LongKaratsubaConvolutionStrategy.convolute(DataStorage x, DataStorage y, long resultSize)
DataStorage	LongMediumConvolutionStrategy.convolute(DataStorage x, DataStorage y, long resultSize)
DataStorage	LongShortConvolutionStrategy.convolute(DataStorage x, DataStorage y, long resultSize)
DataStorage	ThreeNTTConvolutionStrategy.convolute(DataStorage x, DataStorage y, long resultSize)
protected DataStorage	ThreeNTTConvolutionStrategy.convoluteOne(DataStorage x, DataStorage y, long length, int modulus, boolean cached)	Performs a convolution modulo one modulus, of the specified transform length.
protected abstract DataStorage	AbstractDataStorageBuilder.createCachedDataStorage()	Create a cached data storage.
DataStorage	AbstractDataStorageBuilder.createCachedDataStorage(long size)
protected DataStorage	DoubleDataStorageBuilder.createCachedDataStorage()
protected DataStorage	FloatDataStorageBuilder.createCachedDataStorage()
protected DataStorage	IntDataStorageBuilder.createCachedDataStorage()
protected DataStorage	LongDataStorageBuilder.createCachedDataStorage()
protected DataStorage	ThreeNTTConvolutionStrategy.createCachedDataStorage(long size)	Create a cached (if possible) data storage for the specified number of elements.
DataStorage	AbstractDataStorageBuilder.createDataStorage(long size)
DataStorage	AbstractDataStorageBuilder.createDataStorage(DataStorage dataStorage)
protected DataStorage	ThreeNTTConvolutionStrategy.createDataStorage(DataStorage dataStorage)	Create a cached data storage from the (possibly) cached data storage.
protected abstract DataStorage	AbstractDataStorageBuilder.createNonCachedDataStorage()	Create a non-cached data storage.
protected DataStorage	DoubleDataStorageBuilder.createNonCachedDataStorage()
protected DataStorage	FloatDataStorageBuilder.createNonCachedDataStorage()
protected DataStorage	IntDataStorageBuilder.createNonCachedDataStorage()
protected DataStorage	LongDataStorageBuilder.createNonCachedDataStorage()
protected DataStorage	DoubleDiskDataStorage.implSubsequence(long offset, long length)
protected DataStorage	DoubleMemoryDataStorage.implSubsequence(long offset, long length)
protected DataStorage	FloatDiskDataStorage.implSubsequence(long offset, long length)
protected DataStorage	FloatMemoryDataStorage.implSubsequence(long offset, long length)
protected DataStorage	IntDiskDataStorage.implSubsequence(long offset, long length)
protected DataStorage	IntMemoryDataStorage.implSubsequence(long offset, long length)
protected DataStorage	LongDiskDataStorage.implSubsequence(long offset, long length)
protected DataStorage	LongMemoryDataStorage.implSubsequence(long offset, long length)

Methods in org.apfloat.internal with parameters of type DataStorage

Modifier and Type	Method	Description
protected DataStorage	ThreeNTTConvolutionStrategy.autoConvolute(DataStorage x, long resultSize)	Convolutes a data set with itself.
protected DataStorage	ThreeNTTConvolutionStrategy.autoConvoluteOne(DataStorage x, long length, int modulus, boolean cached)	Performs an autoconvolution modulo one modulus, of the specified transform length.
double[]	DoubleCarryCRTStepStrategy.carry(DataStorage dataStorage, long size, long resultSize, long offset, long length, double[] results, double[] previousResults)
float[]	FloatCarryCRTStepStrategy.carry(DataStorage dataStorage, long size, long resultSize, long offset, long length, float[] results, float[] previousResults)
int[]	IntCarryCRTStepStrategy.carry(DataStorage dataStorage, long size, long resultSize, long offset, long length, int[] results, int[] previousResults)
long[]	LongCarryCRTStepStrategy.carry(DataStorage dataStorage, long size, long resultSize, long offset, long length, long[] results, long[] previousResults)
DataStorage	StepCarryCRTStrategy.carryCRT(DataStorage resultMod0, DataStorage resultMod1, DataStorage resultMod2, long resultSize)	Calculate the final result of a three-NTT convolution.
DataStorage	DoubleKaratsubaConvolutionStrategy.convolute(DataStorage x, DataStorage y, long resultSize)
DataStorage	DoubleMediumConvolutionStrategy.convolute(DataStorage x, DataStorage y, long resultSize)
DataStorage	DoubleShortConvolutionStrategy.convolute(DataStorage x, DataStorage y, long resultSize)
DataStorage	FloatKaratsubaConvolutionStrategy.convolute(DataStorage x, DataStorage y, long resultSize)
DataStorage	FloatMediumConvolutionStrategy.convolute(DataStorage x, DataStorage y, long resultSize)
DataStorage	FloatShortConvolutionStrategy.convolute(DataStorage x, DataStorage y, long resultSize)
DataStorage	IntKaratsubaConvolutionStrategy.convolute(DataStorage x, DataStorage y, long resultSize)
DataStorage	IntMediumConvolutionStrategy.convolute(DataStorage x, DataStorage y, long resultSize)
DataStorage	IntShortConvolutionStrategy.convolute(DataStorage x, DataStorage y, long resultSize)
DataStorage	LongKaratsubaConvolutionStrategy.convolute(DataStorage x, DataStorage y, long resultSize)
DataStorage	LongMediumConvolutionStrategy.convolute(DataStorage x, DataStorage y, long resultSize)
DataStorage	LongShortConvolutionStrategy.convolute(DataStorage x, DataStorage y, long resultSize)
DataStorage	ThreeNTTConvolutionStrategy.convolute(DataStorage x, DataStorage y, long resultSize)
protected DataStorage	ThreeNTTConvolutionStrategy.convoluteOne(DataStorage x, DataStorage y, long length, int modulus, boolean cached)	Performs a convolution modulo one modulus, of the specified transform length.
protected <T> ParallelRunnable	StepCarryCRTStrategy.createCarryCRTParallelRunnable(Class<T> elementArrayType, DataStorage resultMod0, DataStorage resultMod1, DataStorage resultMod2, DataStorage dataStorage, long size, long resultSize)	Create a ParallelRunnable object for doing the carry-CRT in parallel.
protected ParallelRunnable	DoubleFactor3NTTStepStrategy.createColumnTransformParallelRunnable(DataStorage dataStorage0, DataStorage dataStorage1, DataStorage dataStorage2, long startColumn, long columns, long power2length, long length, boolean isInverse, int modulus)	Create a ParallelRunnable object for transforming the columns of the matrix using a 3-point NTT transform.
protected ParallelRunnable	FloatFactor3NTTStepStrategy.createColumnTransformParallelRunnable(DataStorage dataStorage0, DataStorage dataStorage1, DataStorage dataStorage2, long startColumn, long columns, long power2length, long length, boolean isInverse, int modulus)	Create a ParallelRunnable object for transforming the columns of the matrix using a 3-point NTT transform.
protected ParallelRunnable	IntFactor3NTTStepStrategy.createColumnTransformParallelRunnable(DataStorage dataStorage0, DataStorage dataStorage1, DataStorage dataStorage2, long startColumn, long columns, long power2length, long length, boolean isInverse, int modulus)	Create a ParallelRunnable object for transforming the columns of the matrix using a 3-point NTT transform.
protected ParallelRunnable	LongFactor3NTTStepStrategy.createColumnTransformParallelRunnable(DataStorage dataStorage0, DataStorage dataStorage1, DataStorage dataStorage2, long startColumn, long columns, long power2length, long length, boolean isInverse, int modulus)	Create a ParallelRunnable object for transforming the columns of the matrix using a 3-point NTT transform.
DataStorage	AbstractDataStorageBuilder.createDataStorage(DataStorage dataStorage)
protected DataStorage	ThreeNTTConvolutionStrategy.createDataStorage(DataStorage dataStorage)	Create a cached data storage from the (possibly) cached data storage.
protected ParallelRunnable	DoubleNTTConvolutionStepStrategy.createMultiplyInPlaceParallelRunnable(DataStorage sourceAndDestination, DataStorage source, int modulus)	Create a ParallelRunnable for multiplying the elements in-place.
protected ParallelRunnable	FloatNTTConvolutionStepStrategy.createMultiplyInPlaceParallelRunnable(DataStorage sourceAndDestination, DataStorage source, int modulus)	Create a ParallelRunnable for multiplying the elements in-place.
protected ParallelRunnable	IntNTTConvolutionStepStrategy.createMultiplyInPlaceParallelRunnable(DataStorage sourceAndDestination, DataStorage source, int modulus)	Create a ParallelRunnable for multiplying the elements in-place.
protected ParallelRunnable	LongNTTConvolutionStepStrategy.createMultiplyInPlaceParallelRunnable(DataStorage sourceAndDestination, DataStorage source, int modulus)	Create a ParallelRunnable for multiplying the elements in-place.
protected ParallelRunnable	DoubleNTTConvolutionStepStrategy.createSquareInPlaceParallelRunnable(DataStorage sourceAndDestination, int modulus)	Create a ParallelRunnable for squaring the elements in-place.
protected ParallelRunnable	FloatNTTConvolutionStepStrategy.createSquareInPlaceParallelRunnable(DataStorage sourceAndDestination, int modulus)	Create a ParallelRunnable for squaring the elements in-place.
protected ParallelRunnable	IntNTTConvolutionStepStrategy.createSquareInPlaceParallelRunnable(DataStorage sourceAndDestination, int modulus)	Create a ParallelRunnable for squaring the elements in-place.
protected ParallelRunnable	LongNTTConvolutionStepStrategy.createSquareInPlaceParallelRunnable(DataStorage sourceAndDestination, int modulus)	Create a ParallelRunnable for squaring the elements in-place.
double[]	DoubleCarryCRTStepStrategy.crt(DataStorage resultMod0, DataStorage resultMod1, DataStorage resultMod2, DataStorage dataStorage, long size, long resultSize, long offset, long length)
float[]	FloatCarryCRTStepStrategy.crt(DataStorage resultMod0, DataStorage resultMod1, DataStorage resultMod2, DataStorage dataStorage, long size, long resultSize, long offset, long length)
int[]	IntCarryCRTStepStrategy.crt(DataStorage resultMod0, DataStorage resultMod1, DataStorage resultMod2, DataStorage dataStorage, long size, long resultSize, long offset, long length)
long[]	LongCarryCRTStepStrategy.crt(DataStorage resultMod0, DataStorage resultMod1, DataStorage resultMod2, DataStorage dataStorage, long size, long resultSize, long offset, long length)
protected ArrayAccess	TwoPassFNTStrategy.getColumns(DataStorage dataStorage, int startColumn, int columns, int rows)	Get a block of column data.
protected ArrayAccess	TwoPassFNTStrategy.getRows(DataStorage dataStorage, int startRow, int rows, int columns)	Get a block of row data.
protected void	DiskDataStorage.implCopyFrom(DataStorage dataStorage, long size)
protected void	DoubleMemoryDataStorage.implCopyFrom(DataStorage dataStorage, long size)
protected void	FloatMemoryDataStorage.implCopyFrom(DataStorage dataStorage, long size)
protected void	IntMemoryDataStorage.implCopyFrom(DataStorage dataStorage, long size)
protected void	LongMemoryDataStorage.implCopyFrom(DataStorage dataStorage, long size)
protected abstract void	AbstractStepFNTStrategy.inverseTransform(DataStorage dataStorage, int n1, int n2, long length, long totalTransformLength, int modulus)	Inverse transform the data in steps.
void	AbstractStepFNTStrategy.inverseTransform(DataStorage dataStorage, int modulus, long totalTransformLength)
void	DoubleTableFNTStrategy.inverseTransform(DataStorage dataStorage, int modulus, long totalTransformLength)
void	Factor3NTTStrategy.inverseTransform(DataStorage dataStorage, int modulus, long totalTransformLength)
void	FloatTableFNTStrategy.inverseTransform(DataStorage dataStorage, int modulus, long totalTransformLength)
void	IntTableFNTStrategy.inverseTransform(DataStorage dataStorage, int modulus, long totalTransformLength)
void	LongTableFNTStrategy.inverseTransform(DataStorage dataStorage, int modulus, long totalTransformLength)
protected void	SixStepFNTStrategy.inverseTransform(DataStorage dataStorage, int n1, int n2, long length, long totalTransformLength, int modulus)
protected void	TwoPassFNTStrategy.inverseTransform(DataStorage dataStorage, int n1, int n2, long length, long totalTransformLength, int modulus)
protected abstract boolean	AbstractDataStorageBuilder.isCached(DataStorage dataStorage)	Test if the data storage is of cached type.
protected boolean	DoubleDataStorageBuilder.isCached(DataStorage dataStorage)
protected boolean	FloatDataStorageBuilder.isCached(DataStorage dataStorage)
protected boolean	IntDataStorageBuilder.isCached(DataStorage dataStorage)
protected boolean	LongDataStorageBuilder.isCached(DataStorage dataStorage)
void	DoubleNTTConvolutionStepStrategy.multiplyInPlace(DataStorage sourceAndDestination, DataStorage source, int modulus)
void	FloatNTTConvolutionStepStrategy.multiplyInPlace(DataStorage sourceAndDestination, DataStorage source, int modulus)
void	IntNTTConvolutionStepStrategy.multiplyInPlace(DataStorage sourceAndDestination, DataStorage source, int modulus)
void	LongNTTConvolutionStepStrategy.multiplyInPlace(DataStorage sourceAndDestination, DataStorage source, int modulus)
void	DoubleNTTConvolutionStepStrategy.squareInPlace(DataStorage sourceAndDestination, int modulus)
void	FloatNTTConvolutionStepStrategy.squareInPlace(DataStorage sourceAndDestination, int modulus)
void	IntNTTConvolutionStepStrategy.squareInPlace(DataStorage sourceAndDestination, int modulus)
void	LongNTTConvolutionStepStrategy.squareInPlace(DataStorage sourceAndDestination, int modulus)
void	AbstractStepFNTStrategy.transform(DataStorage dataStorage, int modulus)
protected abstract void	AbstractStepFNTStrategy.transform(DataStorage dataStorage, int n1, int n2, long length, int modulus)	Transform the data in steps.
void	DoubleTableFNTStrategy.transform(DataStorage dataStorage, int modulus)
void	Factor3NTTStrategy.transform(DataStorage dataStorage, int modulus)
void	FloatTableFNTStrategy.transform(DataStorage dataStorage, int modulus)
void	IntTableFNTStrategy.transform(DataStorage dataStorage, int modulus)
void	LongTableFNTStrategy.transform(DataStorage dataStorage, int modulus)
protected void	SixStepFNTStrategy.transform(DataStorage dataStorage, int n1, int n2, long length, int modulus)
protected void	TwoPassFNTStrategy.transform(DataStorage dataStorage, int n1, int n2, long length, int modulus)
void	DoubleFactor3NTTStepStrategy.transformColumns(DataStorage dataStorage0, DataStorage dataStorage1, DataStorage dataStorage2, long startColumn, long columns, long power2length, long length, boolean isInverse, int modulus)
void	FloatFactor3NTTStepStrategy.transformColumns(DataStorage dataStorage0, DataStorage dataStorage1, DataStorage dataStorage2, long startColumn, long columns, long power2length, long length, boolean isInverse, int modulus)
void	IntFactor3NTTStepStrategy.transformColumns(DataStorage dataStorage0, DataStorage dataStorage1, DataStorage dataStorage2, long startColumn, long columns, long power2length, long length, boolean isInverse, int modulus)
void	LongFactor3NTTStepStrategy.transformColumns(DataStorage dataStorage0, DataStorage dataStorage1, DataStorage dataStorage2, long startColumn, long columns, long power2length, long length, boolean isInverse, int modulus)

Uses of DataStorage in org.apfloat.spi

Methods in org.apfloat.spi that return DataStorage

Modifier and Type	Method	Description
DataStorage	CarryCRTStrategy.carryCRT(DataStorage resultMod0, DataStorage resultMod1, DataStorage resultMod2, long resultSize)	Calculate the final result of a three-NTT convolution.
DataStorage	ConvolutionStrategy.convolute(DataStorage x, DataStorage y, long resultSize)	Convolutes the two sets of data.
DataStorage	DataStorageBuilder.createCachedDataStorage(long size)	Get a data storage that is cached in memory, if possible, for the requested size of data.
DataStorage	DataStorageBuilder.createDataStorage(long size)	Get an appropriate type of data storage for the requested size of data.
DataStorage	DataStorageBuilder.createDataStorage(DataStorage dataStorage)	Convert cached data storage to the appropriate normal data storage type.
protected abstract DataStorage	DataStorage.implSubsequence(long offset, long length)	Implementation of getting a subsequence of this data storage.
final DataStorage	DataStorage.subsequence(long offset, long length)	Get a subsequence of this data storage.

Methods in org.apfloat.spi with parameters of type DataStorage

Modifier and Type	Method	Description
T	CarryCRTStepStrategy.carry(DataStorage dataStorage, long size, long resultSize, long offset, long length, T results, T previousResults)	Propagate carries from the previous block computed with the CRT method.
DataStorage	CarryCRTStrategy.carryCRT(DataStorage resultMod0, DataStorage resultMod1, DataStorage resultMod2, long resultSize)	Calculate the final result of a three-NTT convolution.
DataStorage	ConvolutionStrategy.convolute(DataStorage x, DataStorage y, long resultSize)	Convolutes the two sets of data.
final void	DataStorage.copyFrom(DataStorage dataStorage)	Copies all data from another data storage to this data storage.
final void	DataStorage.copyFrom(DataStorage dataStorage, long size)	Copies the specified number of elements from another data storage to this data storage.
DataStorage	DataStorageBuilder.createDataStorage(DataStorage dataStorage)	Convert cached data storage to the appropriate normal data storage type.
T	CarryCRTStepStrategy.crt(DataStorage resultMod0, DataStorage resultMod1, DataStorage resultMod2, DataStorage dataStorage, long size, long resultSize, long offset, long length)	Perform the Chinese Remainder Theorem (CRT) on each element of the three result data sets to get the result of each element modulo the product of the three moduli.
protected abstract void	DataStorage.implCopyFrom(DataStorage dataStorage, long size)	Copies the specified number of elements from another data storage to this data storage.
void	NTTStrategy.inverseTransform(DataStorage dataStorage, int modulus, long totalTransformLength)	Perform an inverse transform on the data.
void	NTTConvolutionStepStrategy.multiplyInPlace(DataStorage sourceAndDestination, DataStorage source, int modulus)	Linear multiplication in the number theoretic domain.
void	NTTConvolutionStepStrategy.squareInPlace(DataStorage sourceAndDestination, int modulus)	Linear squaring in the number theoretic domain.
void	NTTStrategy.transform(DataStorage dataStorage, int modulus)	Perform a forward transform on the data.
void	Factor3NTTStepStrategy.transformColumns(DataStorage dataStorage0, DataStorage dataStorage1, DataStorage dataStorage2, long startColumn, long columns, long power2length, long length, boolean isInverse, int modulus)	Transform the columns of a matrix using a 3-point transform.

Constructors in org.apfloat.spi with parameters of type DataStorage

Modifier	Constructor	Description
protected	DataStorage(DataStorage dataStorage, long offset, long length)	Subsequence constructor.