Tensor product model transformation: Difference between revisions

Revision as of 22:54, 14 June 2022

Revision as of 08:14, 30 January 2023

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|pages = 52–60

|doi=10.20965/jaciii.2009.p0052

|doi-access =free

}}</ref> that the TP model transformation numerically reconstructs the [[HOSVD]] of functions. This form extracts the unique structure of a given TP function in the same sense as the HOSVD does for tensors and matrices, in a way such that:

:* the number of weighting functions are minimized per dimensions (hence the size of the core tensor);

:* the weighting functions are one variable functions of the parameter vector in an orthonormed system for each parameter (singular functions);