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/******************************************************************************
 *                   Confidential Proprietary                                 *
 *         (c) Copyright Haifeng Li 2011, All Rights Reserved                 *
 ******************************************************************************/

/**
 * Matrix interface, dense and sparse (band or irregular) matrix encapsulation
 * classes, LU, QR, Cholesky, SVD and eigen decompositions, etc. A matrix
 * is a rectangular array of numbers, symbols, or expressions. The individual
 * items in a matrix are called its elements or entries.
 * 

* One of most important matrix operations is the matrix vector * multiplication, which is the only operation needed in many iterative matrix * algorithms, e.g. biconjugate gradient method for solving linear equations and * power iteration and Lanczos algorithm for eigen decomposition, which are * usually very efficient for very large and sparse matrices. * * @author Haifeng Li */ package smile.math.matrix;





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