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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 javax.measure.quantity.Quantity;
import org.jscience.physics.amount.Amount;
import org.tensorics.core.tensor.Tensor;
import com.google.common.base.Preconditions;
/**
* @author agorzaws
* @param type of arguments
* @param type of values
*/
public final class ConstantFunction implements
AnalyticalFunction, Amount> {
private final Amount constant;
private ConstantFunction(Amount constant) {
this.constant = constant;
Preconditions.checkArgument(constant != null, "Argument '" + "constant" + "' must not be null!");
}
@Override
public Amount getY(Amount xValue) {
return constant;
}
@Override
public String toText() {
return "[y = A]";
}
public Tensor> tensor() {
throw new UnsupportedOperationException("Cannot get a discrete tensor from analytical function");
}
public Amount getConstant() {
return constant;
}
@SuppressWarnings("PMD.ShortMethodName")
public static ConstantFunction of(Amount amount) {
return new ConstantFunction(amount);
}
}