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Tensorics is a java framework which uses a tensor as a central object. A tensor represents a set of values placed in an N-dimensional space. Wherever you are tempted to use maps of maps, a tensor might be a good choice ;-) Tensorics provides methods to create, transform and performing calculations with those tensors.
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* Licensed under the Apache License, Version 2.0 (the "License");
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package org.tensorics.core.function.lang;
import java.util.Comparator;
import org.tensorics.core.commons.operations.Conversion;
import org.tensorics.core.commons.operations.Conversions;
import org.tensorics.core.commons.options.Environment;
import org.tensorics.core.function.DiscreteFunction;
/**
* Specialisation of {@link FunctionExpressionSupportWithConversionAndComparator} for expressions of
* {@link DiscreteFunction}s from Y to Y.
*
* @author caguiler
* @param the type of the independent variable (input) and dependent variable (output) of the discrete function and
* the type of the scalar values (elements of the field) on which to operate
*/
public class FunctionExpressionSupport extends FunctionExpressionSupportWithConversionAndComparator {
public FunctionExpressionSupport(Environment environment) {
super(environment, Conversions.identity(), environment.field().comparator());
}
/***
* @param conversion defines how to transform a value of X type to Y type
* @return a {@link FunctionExpressionSupportWithConversionAndComparator} with a given {@link Conversion} set
*/
public final FunctionExpressionSupportWithConversionAndComparator withConversionAndComparator(
Conversion conversion, Comparator comparator) {
return new FunctionExpressionSupportWithConversionAndComparator<>(environment(), conversion, comparator);
}
}