Package org.tensorics.core.lang

Class TensoricDoubles

java.lang.Object

org.tensorics.core.lang.TensoricDoubles

public final class TensoricDoubles
extends java.lang.Object

Provides delegate methods to a static instance of a TensoricSupport<Double>. This is for convenience purposes, so that a simple calculation does not have to inherit from the support class, but can statically import methods from this class.

Method Summary

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

Methods inherited from class java.lang.Object

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

Method Detail

calculate

public static final OngoingBinaryOperation<java.lang.Double> calculate(java.lang.Double operand)

avarageOf

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

negativeOf

public static final java.lang.Double negativeOf(java.lang.Double element)

inverseOf

public static final java.lang.Double inverseOf(java.lang.Double element)

sizeOf

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

zero

public static final java.lang.Double zero()

two

public static final java.lang.Double two()

one

public static final java.lang.Double one()

countOf

public static final java.lang.Double countOf(int number)

sumOf

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

rmsOf

public static final java.lang.Double rmsOf(java.lang.Iterable<java.lang.Double> values)

squareRootOf

public static final java.lang.Double squareRootOf(java.lang.Double value)

squareOf

public static final java.lang.Double squareOf(java.lang.Double value)

calculate

public static final <C> OngoingTensorOperation<C,java.lang.Double> calculate(Tensor<java.lang.Double> tensoric)

sumOfSquaresOf

public static final java.lang.Double sumOfSquaresOf(java.lang.Iterable<java.lang.Double> values)

zeros

public static final <C> Tensor<java.lang.Double> zeros(Shape shape)

ones

public static final <C> Tensor<java.lang.Double> ones(Shape shape)

elementInverseOf

public static final <C> Tensor<java.lang.Double> elementInverseOf(Tensor<java.lang.Double> tensor)

negativeOf

public static final <C> Tensor<java.lang.Double> negativeOf(Tensor<java.lang.Double> tensor)

averageOfQ

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

rmsOfQ

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

varOfQ

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

stdOfQ

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

calculateQ

public static final OngoingQuantifiedTensorOperation<java.lang.Double> calculateQ(Tensor<QuantifiedValue<java.lang.Double>> left)

sizeOfQ

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

valueOf

public static final QuantifiedValue<java.lang.Double> valueOf(java.lang.Double value,
                                                              Unit unit)

calculate

public static final OngoingQuantifiedScalarOperation<java.lang.Double> calculate(java.lang.Double value,
                                                                                 javax.measure.unit.Unit<?> unit)

sumOfQ

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

calculate

public static final OngoingQuantifiedScalarOperation<java.lang.Double> calculate(QuantifiedValue<java.lang.Double> scalar)

negativeOf

public static final QuantifiedValue<java.lang.Double> negativeOf(QuantifiedValue<java.lang.Double> element)

inverseOf

public static final QuantifiedValue<java.lang.Double> inverseOf(QuantifiedValue<java.lang.Double> element)

negativeOf

public static final <TB extends Tensorbacked<java.lang.Double>> TB negativeOf(TB tensorBacked)

calculate

public static final <TB extends Tensorbacked<java.lang.Double>> OngoingTensorBackedOperation<TB,java.lang.Double> calculate(TB tensorBacked)

negativeOfQ

public static final <TB extends Tensorbacked<QuantifiedValue<java.lang.Double>>> TB negativeOfQ(TB tensorBacked)

calculateQ

public static final <QTB extends Tensorbacked<QuantifiedValue<java.lang.Double>>> OngoingQuantifiedTensorBackedOperation<QTB,java.lang.Double> calculateQ(QTB left)

testIf

public static final OngoingScalarBinaryPredicate<java.lang.Double> testIf(java.lang.Double left)

testIf

public static final OngoingQuantifiedScalarBinaryPredicate<java.lang.Double> testIf(QuantifiedValue<java.lang.Double> left)

absoluteValueOf

public static final java.lang.Double absoluteValueOf(java.lang.Double value)

absoluteValueOf

public static final QuantifiedValue<java.lang.Double> absoluteValueOf(QuantifiedValue<java.lang.Double> value)

elementwise

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

elementwise

public static final Tensor<java.lang.Double> elementwise(BinaryOperation<java.lang.Double> operation,
                                                         Tensor<java.lang.Double> left,
                                                         Tensor<java.lang.Double> right)

valueOf

public static final QuantifiedValue<java.lang.Double> valueOf(java.lang.Double value,
                                                              javax.measure.unit.Unit<?> unit)

valueOf

public static final OngoingQuantityValueExtraction<java.lang.Double> valueOf(QuantifiedValue<java.lang.Double> quantity)

valuesOfI

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

confidenceLevelOf

public static final ConfidenceLevel<java.lang.Double> confidenceLevelOf(java.lang.Double confidenceLevel)

with

public static final TensoricSupport<java.lang.Double> with(ManipulationOption newOption)

valuesOf

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

convert

public static final OngoingQuantifiedScalarConversion<java.lang.Double> convert(QuantifiedValue<java.lang.Double> value)

valuesOf

public static final OngoingQuantityTensorValueExtraction<java.lang.Double> valuesOf(Tensor<QuantifiedValue<java.lang.Double>> tensor)

averageOf

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

varOf

public static final java.lang.Double varOf(java.lang.Iterable<java.lang.Double> values)

stdOf

public static final java.lang.Double stdOf(java.lang.Iterable<java.lang.Double> values)

resample

public static final OngoingFieldAwareResamplingStart<java.lang.Double> resample(Tensor<java.lang.Double> tensor)