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Statistical sampling library for use in virtdata libraries, based on apache commons math 4
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/*
 * Licensed to the Apache Software Foundation (ASF) under one or more
 * contributor license agreements.  See the NOTICE file distributed with
 * this work for additional information regarding copyright ownership.
 * The ASF licenses this file to You 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,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

package org.apache.commons.math4.linear;

import org.apache.commons.math4.exception.DimensionMismatchException;

/**
 * This class defines a linear operator operating on real ({@code double})
 * vector spaces. No direct access to the coefficients of the underlying matrix
 * is provided.
 *
 * The motivation for such an interface is well stated by
 * Barrett et al. (1994):
 * 
 *  We restrict ourselves to iterative methods, which work by repeatedly
 *  improving an approximate solution until it is accurate enough. These
 *  methods access the coefficient matrix A of the linear system only via the
 *  matrix-vector product y = A · x
 *  (and perhaps z = A^T · x). Thus the user need only
 *  supply a subroutine for computing y (and perhaps z) given x, which permits
 *  full exploitation of the sparsity or other special structure of A.
 * 
 * 

 *
 * 
 *  Barret et al. (1994)
 *  
 *   R. Barrett, M. Berry, T. F. Chan, J. Demmel, J. M. Donato, J. Dongarra,
 *   V. Eijkhout, R. Pozo, C. Romine and H. Van der Vorst,
 *   Templates for the Solution of Linear Systems: Building Blocks for
 *   Iterative Methods, SIAM
 *  
 * 
 *
 * @since 3.0
 */
public abstract class RealLinearOperator {
    /**
     * Returns the dimension of the codomain of this operator.
     *
     * @return the number of rows of the underlying matrix
     */
    public abstract int getRowDimension();

    /**
     * Returns the dimension of the domain of this operator.
     *
     * @return the number of columns of the underlying matrix
     */
    public abstract int getColumnDimension();

    /**
     * Returns the result of multiplying {@code this} by the vector {@code x}.
     *
     * @param x the vector to operate on
     * @return the product of {@code this} instance with {@code x}
     * @throws DimensionMismatchException if the column dimension does not match
     * the size of {@code x}
     */
    public abstract RealVector operate(final RealVector x)
        throws DimensionMismatchException;

    /**
     * Returns the result of multiplying the transpose of {@code this} operator
     * by the vector {@code x} (optional operation). The default implementation
     * throws an {@link UnsupportedOperationException}. Users overriding this
     * method must also override {@link #isTransposable()}.
     *
     * @param x the vector to operate on
     * @return the product of the transpose of {@code this} instance with
     * {@code x}
     * @throws DimensionMismatchException
     * if the row dimension does not match the size of {@code x}
     * @throws UnsupportedOperationException if this operation is not supported
     * by {@code this} operator
     */
    public RealVector operateTranspose(final RealVector x)
        throws DimensionMismatchException, UnsupportedOperationException {
        throw new UnsupportedOperationException();
    }

    /**
     * Returns {@code true} if this operator supports
     * {@link #operateTranspose(RealVector)}. If {@code true} is returned,
     * {@link #operateTranspose(RealVector)} should not throw
     * {@code UnsupportedOperationException}. The default implementation returns
     * {@code false}.
     *
     * @return {@code false}
     */
    public boolean isTransposable() {
        return false;
    }
}