org.tensorics.core.lang

Class TensoricSupport<V>

java.lang.Object

org.tensorics.core.lang.TensoricSupport<V>

Type Parameters:

V - The type of the values of the scalars (elements of the field on which all the operations are based on)

Direct Known Subclasses:

TensoricDoubleSupport, TensoricTask, TensoricTestingSupport

public class TensoricSupport<V>
extends java.lang.Object

The main start point for expressions of the tensoric eDSL. Gives access to the quantified versions of the operations and the basic tensor operations.
NOTE!
Contains delegation methods only!

Constructor Summary

Constructors

Constructor and Description
TensoricSupport(EnvironmentImpl<V> environment)

Method Summary

Modifier and Type	Method and Description
QuantifiedValue<V>	absoluteValueOf(QuantifiedValue<V> value)
V	absoluteValueOf(V value)
V	avarageOf(java.lang.Iterable<V> values)
V	averageOf(java.lang.Iterable<V> values)
QuantifiedValue<V>	averageOfQ(java.lang.Iterable<QuantifiedValue<V>> values)
OngoingQuantifiedScalarOperation<V>	calculate(QuantifiedValue<V> scalar)
<TB extends Tensorbacked<V>> OngoingTensorBackedOperation<TB,V>	calculate(TB tensorBacked)
<C> OngoingTensorOperation<C,V>	calculate(Tensor<V> tensoric)
OngoingBinaryOperation<V>	calculate(V operand)
OngoingQuantifiedScalarOperation<V>	calculate(V value, javax.measure.unit.Unit<?> unit)
<QTB extends Tensorbacked<QuantifiedValue<V>>> OngoingQuantifiedTensorBackedOperation<QTB,V>	calculateQ(QTB left)
OngoingQuantifiedTensorOperation<V>	calculateQ(Tensor<QuantifiedValue<V>> left)
ConfidenceLevel<V>	confidenceLevelOf(V confidenceLevel)
OngoingQuantifiedScalarConversion<V>	convert(QuantifiedValue<V> value)
V	countOf(int number)
<C> Tensor<V>	elementInverseOf(Tensor<V> tensor)
<S,R> Tensor<R>	elementwise(BinaryFunction<S,R> operation, Tensor<S> left, Tensor<S> right)
Tensor<V>	elementwise(BinaryOperation<V> operation, Tensor<V> left, Tensor<V> right)
QuantifiedValue<V>	inverseOf(QuantifiedValue<V> element)
V	inverseOf(V element)
QuantifiedValue<V>	negativeOf(QuantifiedValue<V> element)
<TB extends Tensorbacked<V>> TB	negativeOf(TB tensorBacked)
<C> Tensor<V>	negativeOf(Tensor<V> tensor)
V	negativeOf(V element)
<TB extends Tensorbacked<QuantifiedValue<V>>> TB	negativeOfQ(TB tensorBacked)
V	one()
<C> Tensor<V>	ones(Shape shape)
OngoingFieldAwareResamplingStart<V>	resample(Tensor<V> tensor)
V	rmsOf(java.lang.Iterable<V> values)
QuantifiedValue<V>	rmsOfQ(java.lang.Iterable<QuantifiedValue<V>> values)
V	sizeOf(java.lang.Iterable<V> values)
QuantifiedValue<V>	sizeOfQ(java.lang.Iterable<QuantifiedValue<V>> values)
V	squareOf(V value)
V	squareRootOf(V value)
V	stdOf(java.lang.Iterable<V> values)
QuantifiedValue<V>	stdOfQ(java.lang.Iterable<QuantifiedValue<V>> values)
V	sumOf(java.lang.Iterable<V> values)
QuantifiedValue<V>	sumOfQ(java.lang.Iterable<QuantifiedValue<V>> values)
V	sumOfSquaresOf(java.lang.Iterable<V> values)
OngoingQuantifiedScalarBinaryPredicate<V>	testIf(QuantifiedValue<V> left)
OngoingScalarBinaryPredicate<V>	testIf(V left)
V	two()
OngoingQuantityValueExtraction<V>	valueOf(QuantifiedValue<V> quantity)
QuantifiedValue<V>	valueOf(V value, Unit unit)
QuantifiedValue<V>	valueOf(V value, javax.measure.unit.Unit<?> unit)
OngoingQuantityIterableValueExtraction<V>	valuesOf(java.lang.Iterable<QuantifiedValue<V>> quantities)
OngoingQuantityTensorValueExtraction<V>	valuesOf(Tensor<QuantifiedValue<V>> tensor)
OngoingQuantityIterableValueExtraction<V>	valuesOfI(java.lang.Iterable<QuantifiedValue<V>> quantities)
V	varOf(java.lang.Iterable<V> values)
QuantifiedValue<V>	varOfQ(java.lang.Iterable<QuantifiedValue<V>> values)
TensoricSupport<V>	with(ManipulationOption newOption)
V	zero()
<C> Tensor<V>	zeros(Shape shape)

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

TensoricSupport

public TensoricSupport(EnvironmentImpl<V> environment)

Method Detail

calculate

public OngoingBinaryOperation<V> calculate(V operand)

avarageOf

public final V avarageOf(java.lang.Iterable<V> values)

negativeOf

public final V negativeOf(V element)

inverseOf

public final V inverseOf(V element)

sizeOf

public final V sizeOf(java.lang.Iterable<V> values)

zero

public final V zero()

two

public final V two()

one

public final V one()

countOf

public V countOf(int number)

sumOf

public final V sumOf(java.lang.Iterable<V> values)

rmsOf

public V rmsOf(java.lang.Iterable<V> values)

squareRootOf

public V squareRootOf(V value)

squareOf

public V squareOf(V value)

calculate

public final <C> OngoingTensorOperation<C,V> calculate(Tensor<V> tensoric)

sumOfSquaresOf

public V sumOfSquaresOf(java.lang.Iterable<V> values)

zeros

public <C> Tensor<V> zeros(Shape shape)

ones

public <C> Tensor<V> ones(Shape shape)

elementInverseOf

public <C> Tensor<V> elementInverseOf(Tensor<V> tensor)

negativeOf

public <C> Tensor<V> negativeOf(Tensor<V> tensor)

averageOfQ

public final QuantifiedValue<V> averageOfQ(java.lang.Iterable<QuantifiedValue<V>> values)

rmsOfQ

public final QuantifiedValue<V> rmsOfQ(java.lang.Iterable<QuantifiedValue<V>> values)

varOfQ

public final QuantifiedValue<V> varOfQ(java.lang.Iterable<QuantifiedValue<V>> values)

stdOfQ

public final QuantifiedValue<V> stdOfQ(java.lang.Iterable<QuantifiedValue<V>> values)

calculateQ

public OngoingQuantifiedTensorOperation<V> calculateQ(Tensor<QuantifiedValue<V>> left)

valueOf

public QuantifiedValue<V> valueOf(V value,
                                  Unit unit)

calculate

public OngoingQuantifiedScalarOperation<V> calculate(V value,
                                                     javax.measure.unit.Unit<?> unit)

calculate

public OngoingQuantifiedScalarOperation<V> calculate(QuantifiedValue<V> scalar)

negativeOf

public QuantifiedValue<V> negativeOf(QuantifiedValue<V> element)

inverseOf

public QuantifiedValue<V> inverseOf(QuantifiedValue<V> element)

valueOf

public QuantifiedValue<V> valueOf(V value,
                                  javax.measure.unit.Unit<?> unit)

negativeOf

public <TB extends Tensorbacked<V>> TB negativeOf(TB tensorBacked)

calculate

public final <TB extends Tensorbacked<V>> OngoingTensorBackedOperation<TB,V> calculate(TB tensorBacked)

negativeOfQ

public <TB extends Tensorbacked<QuantifiedValue<V>>> TB negativeOfQ(TB tensorBacked)

calculateQ

public <QTB extends Tensorbacked<QuantifiedValue<V>>> OngoingQuantifiedTensorBackedOperation<QTB,V> calculateQ(QTB left)

testIf

public OngoingScalarBinaryPredicate<V> testIf(V left)

testIf

public OngoingQuantifiedScalarBinaryPredicate<V> testIf(QuantifiedValue<V> left)

absoluteValueOf

public V absoluteValueOf(V value)

absoluteValueOf

public QuantifiedValue<V> absoluteValueOf(QuantifiedValue<V> value)

elementwise

public <S,R> Tensor<R> elementwise(BinaryFunction<S,R> operation,
                                   Tensor<S> left,
                                   Tensor<S> right)

elementwise

public Tensor<V> elementwise(BinaryOperation<V> operation,
                             Tensor<V> left,
                             Tensor<V> right)

valueOf

public OngoingQuantityValueExtraction<V> valueOf(QuantifiedValue<V> quantity)

valuesOfI

public final OngoingQuantityIterableValueExtraction<V> valuesOfI(java.lang.Iterable<QuantifiedValue<V>> quantities)

valuesOf

public final OngoingQuantityTensorValueExtraction<V> valuesOf(Tensor<QuantifiedValue<V>> tensor)

sizeOfQ

public final QuantifiedValue<V> sizeOfQ(java.lang.Iterable<QuantifiedValue<V>> values)

sumOfQ

public final QuantifiedValue<V> sumOfQ(java.lang.Iterable<QuantifiedValue<V>> values)

valuesOf

public final OngoingQuantityIterableValueExtraction<V> valuesOf(java.lang.Iterable<QuantifiedValue<V>> quantities)

convert

public OngoingQuantifiedScalarConversion<V> convert(QuantifiedValue<V> value)

with

public TensoricSupport<V> with(ManipulationOption newOption)

confidenceLevelOf

public ConfidenceLevel<V> confidenceLevelOf(V confidenceLevel)

averageOf

public final V averageOf(java.lang.Iterable<V> values)

varOf

public V varOf(java.lang.Iterable<V> values)

stdOf

public V stdOf(java.lang.Iterable<V> values)

resample

public OngoingFieldAwareResamplingStart<V> resample(Tensor<V> tensor)