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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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*
* This file is part of tensorics.
*
* 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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package org.tensorics.core.tensor.operations;
import org.tensorics.core.commons.options.ManipulationOption;
import org.tensorics.core.commons.options.OptionRegistry;
import org.tensorics.core.math.operations.BinaryOperation;
import org.tensorics.core.tensor.Tensor;
import org.tensorics.core.tensor.options.BroadcastingStrategy;
import org.tensorics.core.tensor.options.ShapingStrategy;
/**
* A binary operations on tensors which can be decoupled into simple operations on an element of one tensor on the
* corresponding element on the second tensor (same position). Because of this simple relation, the operation is fully
* defined by a binary operation on individual tensor values.
*
* To decide on the resulting shape of the tensor, two strategies are used here:
*
* - {@link BroadcastingStrategy}
*
- {@link ShapingStrategy}
*
*
* @author kfuchsbe
* @param The type of the tensor values
*/
public class ElementBinaryOperation extends ElementBinaryFunction implements BinaryOperation> {
public ElementBinaryOperation(BinaryOperation operation, OptionRegistry optionRegistry) {
super(operation, optionRegistry);
}
}