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📄 abstractbandmatrix.java

📁 另一个功能更强大的矩阵运算软件开源代码
💻 JAVA
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/* * Copyright (C) 2003-2006 Bjørn-Ove Heimsund *  * This file is part of MTJ. *  * This library is free software; you can redistribute it and/or modify it * under the terms of the GNU Lesser General Public License as published by the * Free Software Foundation; either version 2.1 of the License, or (at your * option) any later version. *  * This library is distributed in the hope that it will be useful, but WITHOUT * ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or * FITNESS FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License * for more details. *  * You should have received a copy of the GNU Lesser General Public License * along with this library; if not, write to the Free Software Foundation, * Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA */package no.uib.cipr.matrix;import java.util.Arrays;import java.util.Iterator;/** * Partial implementation of a banded matrix */abstract class AbstractBandMatrix extends AbstractMatrix {    /**     * Matrix data     */    double[] data;    /**     * Number of upper and lower diagonals     */    int kl, ku;    /**     * Size of the matrix. It is always square     */    int n;    /**     * Constructor for AbstractBandMatrix     *      * @param n     *            Size of the matrix. Since the matrix must be square, this     *            equals both the number of rows and columns     * @param kl     *            Number of diagonals below the main diagonal     * @param ku     *            Number of diagonals above the main diagonal     */    public AbstractBandMatrix(int n, int kl, int ku) {        super(n, n);        this.n = n;        if (kl < 0 || ku < 0)            throw new IllegalArgumentException("kl < 0 || ku < 0");        this.kl = kl;        this.ku = ku;        data = new double[numColumns * (1 + kl + ku)];    }    /**     * Constructor for AbstractBandMatrix     *      * @param A     *            Matrix to copy from     * @param kl     *            Number of diagonals below the main diagonal     * @param ku     *            Number of diagonals above the main diagonal     */    public AbstractBandMatrix(Matrix A, int kl, int ku) {        this(A, kl, ku, true);    }    /**     * Constructor for AbstractBandMatrix     *      * @param A     *            Matrix to copy from     * @param kl     *            Number of diagonals below the main diagonal     * @param ku     *            Number of diagonals above the main diagonal     * @param deep     *            True if a deep copy is made. For a shallow copy,     *            <code>A</code> must be a banded matrix     */    public AbstractBandMatrix(Matrix A, int kl, int ku, boolean deep) {        super(A);        if (kl < 0 || ku < 0)            throw new IllegalArgumentException("kl < 0 || ku < 0");        if (!isSquare())            throw new IllegalArgumentException("Band matrix must be square");        this.n = numRows;        this.kl = kl;        this.ku = ku;        if (deep) {            data = new double[numColumns * (1 + kl + ku)];            copy(A);        } else            this.data = ((AbstractBandMatrix) A).getData();    }    /**     * Returns the matrix contents     */    public double[] getData() {        return data;    }    @Override    public void add(int row, int column, double value) {        checkBand(row, column);        data[getIndex(row, column)] += value;    }    @Override    public void set(int row, int column, double value) {        checkBand(row, column);        data[getIndex(row, column)] = value;    }    @Override    public double get(int row, int column) {        if (!inBand(row, column))            return 0;        return data[getIndex(row, column)];    }    /**     * Returns the number of lower diagonals     */    public int numSubDiagonals() {        return kl;    }    /**     * Returns the number of upper diagonals     */    public int numSuperDiagonals() {        return ku;    }    /**     * Returns true if the given indices are within the band     */    boolean inBand(int row, int column) {        return column - ku <= row && row <= column + kl;    }    /**     * Checks that the indices are within the band     */    void checkBand(int row, int column) {        if (!inBand(row, column))            throw new IndexOutOfBoundsException("Insertion index out of band");    }    /**     * Checks the row and column indices, and returns the linear data index     */    int getIndex(int row, int column) {        check(row, column);        return ku + row - column + column * (kl + ku + 1);    }    /**     * Set this matrix equal to the given matrix     */    void copy(Matrix A) {        for (MatrixEntry e : A)            if (inBand(e.row(), e.column()))                set(e.row(), e.column(), e.get());    }    @Override    public Matrix set(Matrix B) {        if (!(B instanceof AbstractBandMatrix))            return super.set(B);        checkSize(B);        AbstractBandMatrix Bb = (AbstractBandMatrix) B;        if (Bb.kl != kl)            throw new IllegalArgumentException("B.kl != kl");        if (Bb.ku != ku)            throw new IllegalArgumentException("B.ku != ku");        double[] Bd = Bb.getData();        if (Bd == data)            return this;        System.arraycopy(Bd, 0, data, 0, data.length);        return this;    }    @Override    public Matrix zero() {        Arrays.fill(data, 0);        return this;    }    @Override    public Iterator<MatrixEntry> iterator() {        return new BandMatrixIterator();    }    /**     * Iterator over a band matrix     */    class BandMatrixIterator extends RefMatrixIterator {        /**         * Matrix bandwidths. Cannot be taken directly from the matrix since         * that breaks iterating over symmetrical matrices         */        private final int lkl, lku;        public BandMatrixIterator(int lkl, int lku) {            this.lkl = lkl;            this.lku = lku;        }        public BandMatrixIterator() {            this(kl, ku);        }        @Override        public MatrixEntry next() {            entry.update(row, column);            // Traversal first down the columns, then the rows            if (row < Math.min(column + lkl, n - 1)                    && row >= Math.max(column - lku, 0))                row++;            else {                column++;                row = Math.max(column - lku, 0);            }            return entry;        }    }}

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