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AUTHOR(S):

Ayla Okan, Metin Demiralp

 

TITLE

Numerical Implementations for Tridiagonal Kernel Enhanced Multivariance Products Representation (TKEMPR) Method: Bivariate Case

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KEYWORDS

Enhanced Multivariance Products Representation (EMPR), Tridiagonal Kernel Enhanced Multivariance Products Representation (TKEMPR), Recursive EMPR, Decomposition Method

ABSTRACT

In this paper, a decomposition method Tridiagonal Kernel Enhanced Multivariance Products Representation (TKEMPR) is presented with numerical implementations. These method is based on bivariate square integrable functions over the rectangular hyperprism. This research is also can be considered as the extension to our works whose papers were given in the very recent international conferences. The contribution of this new paper is to apply the method not only to the functions that are as the product of two given univariate functions, but also to any bivariate analytical functions. A number of numerical examples are used to show the efficiency of the method given in this paper.

Cite this paper

Ayla Okan, Metin Demiralp. (2016) Numerical Implementations for Tridiagonal Kernel Enhanced Multivariance Products Representation (TKEMPR) Method: Bivariate Case. International Journal of Mathematical and Computational Methods, 1, 102-107