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📄 uppercomprowmatrix.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.sparse;import no.uib.cipr.matrix.AbstractMatrix;import no.uib.cipr.matrix.DenseVector;import no.uib.cipr.matrix.Vector;/** * Upper triangular CRS matrix. Only used for triangular solves */class UpperCompRowMatrix extends AbstractMatrix {    private int[] rowptr;    private int[] colind;    private double[] data;    private int[] diagind;    public UpperCompRowMatrix(CompRowMatrix LU, int[] diagind) {        super(LU);        rowptr = LU.getRowPointers();        colind = LU.getColumnIndices();        data = LU.getData();        this.diagind = diagind;    }    @Override    public Vector solve(Vector b, Vector x) {        if (!(b instanceof DenseVector) || !(x instanceof DenseVector))            return super.solve(b, x);        double[] bd = ((DenseVector) b).getData();        double[] xd = ((DenseVector) x).getData();        for (int i = numRows - 1; i >= 0; --i) {            // xi = (bi - sum[j>i] Uij * xj) / Uii            double sum = 0;            for (int j = diagind[i] + 1; j < rowptr[i + 1]; ++j)                sum += data[j] * xd[colind[j]];            xd[i] = (bd[i] - sum) / data[diagind[i]];        }        return x;    }    @Override    public Vector transSolve(Vector b, Vector x) {        if (!(x instanceof DenseVector))            return super.transSolve(b, x);        x.set(b);        double[] xd = ((DenseVector) x).getData();        for (int i = 0; i < numRows; ++i) {            // Solve for the current entry            xd[i] /= data[diagind[i]];            // Move this known solution over to the right hand side for the            // remaining equations            for (int j = diagind[i] + 1; j < rowptr[i + 1]; ++j)                xd[colind[j]] -= data[j] * xd[i];        }        return x;    }}

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