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SVDDrar
  • Classification:Numerical Algorithm-Artificial Intelligence - Algorithm-Engineer Calculation
  • Development Tool:C-C++
  • Sise:4.00 KB
  • Upload time:2011/10/18 6:44:16
  • Uploader:awib
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Description
% SVD (sigular value decomposition,SVD) is another kind of orthogonal decomposition method of matrix; SVD decomposition method is the most reliable,% it spend nearly 10 times than the QR Decomposition method of calculation time. [U,S,V]=svvd (a), where u and v represent two mutually orthogonal matrices,% s represents a pair of point matrix. With the QR Decomposition method of the same, the original matrix a does not have to square matrices. % Using the SVD decomposition is the use of minimum squared error methods and data compression solutions. With SVD decomposition method for solving linear equations




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SVD.c
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