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A Novel Approach to the Approximation of Functions with High Number of Variables: Factorized High Dimensional Model Representation (FHDMP)
by
Metin Demiralp
Informatics Institute, Istanbul Technical University, Turkey
The main theme of this presentation is focused on the efforts to cure these undesired features of HDMR. It is mainly based on the factorization of the HDMR expansion via a hidden perturbation expansion. The method is called Factorized High Dimensional Model Representation (or FHDMR as an acronym) and aims to produce a product approximant sequence which is expected to be converging to the function under consideration. Some illustrative applications will also be mentioned in the presentation.
Date received: February 21, 2001
Copyright © 2001 by the author(s). The author(s) of this document and the organizers of the conference have granted their consent to include this abstract in Atlas Conferences Inc. Document # cagk-73.