AIChE Symposium Series, Volume 93, Issue 316American Institute of Chemical Engineers, 1997 - Chemical engineering |
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Page 267
... matrix , and thus the rank determination is discussed . Examples of 2 - dimensional data matrices are used to illustrate the visualization . SVD , Rank , Multivariate statistical analysis , Geometric , Mean centering , Scaling . MULTI ...
... matrix , and thus the rank determination is discussed . Examples of 2 - dimensional data matrices are used to illustrate the visualization . SVD , Rank , Multivariate statistical analysis , Geometric , Mean centering , Scaling . MULTI ...
Page 268
... Matrix The singular value decomposition ( SVD ) is the preferred numerical method for rank determination of a matrix ( Strang , 1988 ) . The condition number , or the ratio of the largest to the smallest singular value , is a gauge of ...
... Matrix The singular value decomposition ( SVD ) is the preferred numerical method for rank determination of a matrix ( Strang , 1988 ) . The condition number , or the ratio of the largest to the smallest singular value , is a gauge of ...
Page 269
... matrix . In other words , how many dimensions of independent information is really contained in the data ? Let's ... matrix A of say 3 by 2 dimension . The column space of a matrix A is viewed as the space spanned by all possible linear ...
... matrix . In other words , how many dimensions of independent information is really contained in the data ? Let's ... matrix A of say 3 by 2 dimension . The column space of a matrix A is viewed as the space spanned by all possible linear ...
Contents
Industry Assessment | 1 |
Predictive Control | 5 |
Adaptive and Nonlinear Control Fact or Fantasy? | 9 |
Copyright | |
22 other sections not shown
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