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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.
// @formatter:off
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*
* This file is part of tensorics.
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* Copyright (c) 2008-2011, CERN. All rights reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
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// @formatter:on
package org.tensorics.incubate.function;
import java.util.List;
/**
* A strategy for interpolating linearly between two values of doubles, with also the x-direction of the function being
* double values.
*
* @author agorzaws
*/
public class LinearInterpolationStrategy implements InterpolationStrategy {
private static final long serialVersionUID = 1L;
@SuppressWarnings("boxing")
@Override
public Double interpolate(Double xValue, DiscreteFunction function) {
double timeBefore = 0;
double timeAfter = 0;
boolean nextBreak = false;
List timesInFunction = function.getXs();
int size = timesInFunction.size();
if (size < 1) {
throw new IllegalStateException(
"Cannot interpolate beyond function time series for only one or none points!");
}
Double lastTime = timesInFunction.get(size - 1);
Double firstTime = timesInFunction.get(0);
if (xValue < firstTime || xValue > lastTime) {
throw new IllegalStateException("Cannot interpolate beyond function time series [" + firstTime + ", "
+ lastTime + "]" + " asked for " + xValue);
}
for (Double xVal : timesInFunction) {
if (nextBreak) {
break;
}
if (xVal >= xValue) {
timeAfter = xVal;
nextBreak = true;
}
}
timeBefore = timesInFunction.get(timesInFunction.indexOf(timeAfter) - 1);
return function.getY(timeBefore) + (Math.abs(xValue - timeBefore) / Math.abs(timeAfter - timeBefore))
* (function.getY(timeAfter) - function.getY(timeBefore));
}
}