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All Journal Annals of Mathematical Modeling
Yeak Su Hoe
Department of Mathematical Sciences, Faculty of Science, Universiti Teknologi Malaysia
Computer Science & IT Mathematics

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Numerical evaluation for two-dimensional integral using higher order Gaussian quadrature Suzarina Ahmed Sukri; Yeak Su Hoe; Taufiq Khairi Ahmad Khairuddin
Annals of Mathematical Modeling Vol 2, No 1 (2020)
Publisher : Research and Social Study Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33292/amm.v2i1.70

Abstract

Presented in this paper is a computational approach that uses higher order Gaussian quadrature to improve the accuracy of the evaluation of an integral. The transformation from space (standard Gaussian) to st space (higher order Gaussian) were shown throughout this paper. Not even that, the efficacy of this higher order Gaussian quadrature were tested by implementing and comparing it with standard Gaussian quadrature over the same integral. Results shown that the evaluation of an integral by using higher order Gaussian quadrature provide accurate and converge results compared to an integral using standard Gaussian quadrature.
Co-Authors Suzarina Ahmed Sukri Taufiq Khairi Ahmad Khairuddin