An iterative Enhanced Multivariance Product Representation scheme for multivariate function decomposition

Burcu Tunga*, Metin Demiralp

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

8 Citations (Scopus)

Abstract

The presentation of the multivariate functions in scientific problems is one of the most important issue for mathematicians and engineers to reduce the mathematical and computational complexities. Divide-and-conquer algorithms can be developed and used for this purpose. The Enhanced Multivariance Product Representation method has recently developed to represent a multivariate function in terms of less-variate functions. In this study, we intend to improve the performance of this method by imposing an iterative scheme. Some numerical implementations are also given in the paper to test the performance of this new algorithm.

Original languageEnglish
Pages (from-to)247-253
Number of pages7
JournalInternational Conference on Applied Computer Science - Proceedings
Publication statusPublished - 2010
EventInternational Conference on Applied Computer Science, ACS - , Malta
Duration: 15 Sept 201017 Sept 2010

Keywords

  • High dimensional model representation
  • Iterative algorithms
  • Multivariate analysis

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