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📄 qrdecomposition.java

📁 一个关于java 的常用工具包
💻 JAVA
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package org.jutil.math.matrix;/** * This class represents a QR factorization of a matrix. * * The methods Qtimes and QtranposeTimes are provide because the matrix * Q itself isn't interesting most of the times, and isn't required  * explicitly to calculate Q * x and transpose(Q) * x. * * @path    $Source: /cvsroot/org-jutil/jutil.org/src/org/jutil/math/matrix/QRDecomposition.java,v $ * @version $Revision: 1.4 $ * @date    $Date: 2002/07/02 14:27:31 $ * @state   $State: Exp $ * @author  Marko van Dooren * @release $Name:  $ */public interface QRDecomposition {	/* The revision of this class */	public final static String CVS_REVISION ="$Revision: 1.4 $"; /*@	 @ public invariant Q().getNbColumns() == R().getNbRows();	 @*/	/**	 * Return the Q matrix of this QR factorization.	 */ /*@   @ public behavior	 @	 @ post \result != null;	 @ post \result.getNbRows() == R().getNbRows();	 @ post \result.getNbColumns() == R().getNbRows();	 @ // TODO: post \result.isOrthoNormal();	 @*/	public Matrix Q();		/**	 * Return the R matrix of this QR factorization.	 */ /*@   @ public behavior	 @	 @ post \result != null;	 @ post \result.isUpperTriangular();	 @*/	public Matrix R();	/**	 * Return the reduced Q matrix.	 */ /*@   @ public behavior	 @	 @ post \result.equals(Q().subMatrix(1,1,Q().getNbRows(), R().getNbColumns()));	 @*/	public Matrix Qreduced();	/**	 * Return the reduced R matrix.	 */ /*@   @ public behavior	 @	 @ post \result.equals(R().subMatrix(1,1,R().getNbColumns(), R().getNbColumns()));	 @*/	public Matrix Rreduced();		/**	 * Return Q().times(column)	 *	 * @param column	 *        The vector with which Q() must be multiplied	 */ /*@   @ public behavior	 @	 @ pre column != null;	 @ pre column.size() == Q().getNbColumns();	 @	 @ post \result.equals(Q().times(column));	 @*/	public Column Qtimes(Column column);	/**	 * Return Qreduced().times(column)	 *	 * @param column	 *        The vector with which Qreduced must be multiplied	 */ /*@   @ public behavior	 @	 @ pre column != null;	 @ pre column.size() == Qreduced().getNbColumns();	 @	 @ post \result.equals(Qreduced().times(column));	 @*/	public Column QreducedTimes(Column column);		/**	 * Return Q().returnTranspose().times(column)	 *	 * @param column	 *        The vector with which Q must be multiplied	 */ /*@   @ public behavior	 @	 @ pre column != null;	 @ pre column.size() == Q().getNbRows();	 @	 @ post \result.equals(Q().returnTranspose().times(column));	 @*/	public Column QtransposeTimes(Column column);	/**	 * Return Qreduced().returnTranspose().times(column)	 *	 * @param column	 *        The vector with which Q must be multiplied	 */ /*@   @ public behavior	 @	 @ pre column != null;	 @ pre column.size() == Qreduced().getNbRows();	 @	 @ post \result.equals(Qreduced().returnTranspose().times(column));	 @*/	public Column QreducedTransposeTimes(Column column);}/*<copyright>Copyright (C) 1997-2002. This software is copyrighted by the people and entities mentioned after the "@author" tags above, on behalf of the JUTIL.ORG Project. The copyright is dated by the dates after the "@date" tags above. All rights reserved.This software is published under the terms of the JUTIL.ORG SoftwareLicense version 1.1 or later, a copy of which has been included withthis distribution in the LICENSE file, which can also be found athttp://www.jutil.org/LICENSE. This software is distributed WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the JUTIL.ORG Software License for more details.For more information, please see http://jutil.org/</copyright>*/

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