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ÓàÔó³É(½ð±Ò+2):лл²ÎÓëÓ¦Öú£¡ 2010-05-09 12:41:13
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ÓàÔó³É(½ð±Ò+2):лл²ÎÓëÓ¦Öú£¡ 2010-05-09 12:41:13
wwwyasu(½ð±Ò+1):лл²ÎÓ룬µ«ÊÇÎÒÒªµÄCÓïÑÔ±àµÄÔ´³ÌÐò£¬²»ÊÇMATLABµÄµ÷ÓóÌÐò 2010-05-13 20:44:02
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ÆæÒìÖµ·Ö½â£¬ÔÚmatlabÀïÃæÒ»¸öÓï¾ä¾ÍʵÏÖÁË¡£ SVD Singular value decomposition. [U,S,V] = SVD(X) produces a diagonal matrix S, of the same dimension as X and with nonnegative diagonal elements in decreasing order, and unitary matrices U and V so that X = U*S*V'. S = SVD(X) returns a vector containing the singular values. [U,S,V] = SVD(X,0) produces the "economy size" decomposition. If X is m-by-n with m > n, then only the first n columns of U are computed and S is n-by-n. For m <= n, SVD(X,0) is equivalent to SVD(X). [U,S,V] = SVD(X,'econ') also produces the "economy size" decomposition. If X is m-by-n with m >= n, then it is equivalent to SVD(X,0). For m < n, only the first m columns of V are computed and S is m-by-m. See also svds, gsvd. Overloaded functions or methods (ones with the same name in other directories) help sym/svd.m help frd/svd.m Reference page in Help browser doc svd |
4Â¥2010-05-09 11:49:08
5Â¥2010-05-18 13:22:18













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