A recursive algorithm for finding HDMR terms for sensitivity analysis

KAYA H., KAPLAN M., SAYGIN H.

COMPUTER PHYSICS COMMUNICATIONS, cilt.158, sa.2, ss.106-112, 2004 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 158 Sayı: 2
  • Basım Tarihi: 2004
  • Doi Numarası: 10.1016/j.comphy.2003.12.005
  • Dergi Adı: COMPUTER PHYSICS COMMUNICATIONS
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.106-112
  • Anahtar Kelimeler: multivariate analysis, high dimensional model representation, sensitivity analysis, DIMENSIONAL MODEL REPRESENTATIONS, UNCERTAINTY
  • Akdeniz Üniversitesi Adresli: Hayır

Özet

High Dimensional Model Representation (HDMR) is an efficient technique which decomposes a multivariate function into a constant, univariate, bivariate functions and so on. These functions are forced to be mutually orthogonal by means of an orthogonality condition. The technique which is generally used for high-dimensional input-output systems can be applied to various disciplines including sensitivity analysis, differential equations, inversion of data and so on. In this article we present a computer program that computes individual components of HDMR resolution of a given multivariate function. The program also calculates the global sensitivity indices. Lastly the results of the numerical experiments for different set of functions are introduced. (C) 2004 Elsevier B.V. All rights reserved.