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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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/**
 * Copyright (c) 2015 European Organisation for Nuclear Research (CERN), All Rights Reserved.
 */

package org.tensorics.core.tensor.lang;

import org.tensorics.core.reduction.AbstractInterpolationStrategy;
import org.tensorics.core.reduction.InterpolatedSlicing;
import org.tensorics.core.reduction.InterpolationStrategy;
import org.tensorics.core.tensor.Tensor;
import org.tensorics.core.tensor.operations.TensorReduction;

/**
 * @author agorzaws
 * @param 
 * @param 
 */
public class OngoingStructuralReductionOptions> {

    private final Tensor tensor;
    private final C slicePosition;
    private final Class dimension;

    public OngoingStructuralReductionOptions(C slicePosition, Tensor tensor, Class dimension) {
        this.tensor = tensor;
        this.slicePosition = slicePosition;
        this.dimension = dimension;
    }

    /**
     * Defines the interpolation strategy. 

     * See {@link AbstractInterpolationStrategy} and its extension.
     * 
     * @param strategy to use
     * @return slicing result with interpolation between the missing comparable coordinates.
     */
    public Tensor interpolatingWith(InterpolationStrategy strategy) {
        return new TensorReduction<>(dimension, new InterpolatedSlicing<>(slicePosition, strategy, tensor))
                .apply(tensor);
    }

}