TY - JOUR
T1 - An iterative Enhanced Multivariance Product Representation scheme for multivariate function decomposition
AU - Tunga, Burcu
AU - Demiralp, Metin
PY - 2010
Y1 - 2010
N2 - 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.
AB - 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.
KW - High dimensional model representation
KW - Iterative algorithms
KW - Multivariate analysis
UR - http://www.scopus.com/inward/record.url?scp=79959931051&partnerID=8YFLogxK
M3 - Conference article
AN - SCOPUS:79959931051
SN - 1792-4863
SP - 247
EP - 253
JO - International Conference on Applied Computer Science - Proceedings
JF - International Conference on Applied Computer Science - Proceedings
T2 - International Conference on Applied Computer Science, ACS
Y2 - 15 September 2010 through 17 September 2010
ER -