Generalized Euclidean Least Square Approximation

A. S. Oke *

Department of Mathematical Sciences, Faculty of Science, Adekunle Ajasin University, Akungba Akoko, Ondo State, Nigeria

S. M. Akintewe

Department of Mathematical Sciences, Faculty of Science, Adekunle Ajasin University, Akungba Akoko, Ondo State, Nigeria

A. G. Akinbande

Department of Mathematical Sciences, Faculty of Science, Adekunle Ajasin University, Akungba Akoko, Ondo State, Nigeria

*Author to whom correspondence should be addressed.


Abstract

A Generalised Euclidean Least Square Approximation (ELS) is derived in this paper. The Generalised Euclidean Least Square Approximation is derived by generalizing the interpolation of n arbitrary data set to approximate functions. Existence and uniqueness of the ELS schemes are shown by establishing the invertibility of the coefficient matrix using condensation method to reduce the matrix. The method is illustrated for exponential function and the results are compared to the classical Maclaurin’s series.

Keywords: Euclidean space, norm, interpolation, least square, approximation


How to Cite

S. Oke, A., S. M. Akintewe, and A. G. Akinbande. 2018. “Generalized Euclidean Least Square Approximation”. Asian Journal of Probability and Statistics 1 (3):1-10. https://doi.org/10.9734/ajpas/2018/v1i324535.

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