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Numerical Integration of Analytic Function Through Extrapolation


Affiliations
1 Department of Mathematics, School of Applied Sciences, KIIT University, Bhubaneswar – 751024, Odisha, India
 

In recent years mixed quadrature rule for analytic functions has been utilized in the field of Science and Technology. A mixed quadrature rule for degree of precision eleven has been established by taking two constituent rules each of degree of precision nine. The proposed mixed quadrature rule has been tested on different functions and comparable with different authors to find the best approximate solution to the exact results. Mixed quadrature rule on analytic function is applied in the field of adaptive quadrature which is essential in the physical sciences.

Keywords

Analytic Functions, Degree of Precision, Maclaurin’s Theorem, Mixed Quadrature, Richardson Extrapolation MSC 2010: 65D30, 65D32
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  • Numerical Integration of Analytic Function Through Extrapolation

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Authors

Arjun Singh
Department of Mathematics, School of Applied Sciences, KIIT University, Bhubaneswar – 751024, Odisha, India
Saumya Ranjan Jena
Department of Mathematics, School of Applied Sciences, KIIT University, Bhubaneswar – 751024, Odisha, India
Bhupati B. Mishra
Department of Mathematics, School of Applied Sciences, KIIT University, Bhubaneswar – 751024, Odisha, India

Abstract


In recent years mixed quadrature rule for analytic functions has been utilized in the field of Science and Technology. A mixed quadrature rule for degree of precision eleven has been established by taking two constituent rules each of degree of precision nine. The proposed mixed quadrature rule has been tested on different functions and comparable with different authors to find the best approximate solution to the exact results. Mixed quadrature rule on analytic function is applied in the field of adaptive quadrature which is essential in the physical sciences.

Keywords


Analytic Functions, Degree of Precision, Maclaurin’s Theorem, Mixed Quadrature, Richardson Extrapolation MSC 2010: 65D30, 65D32



DOI: https://doi.org/10.17485/ijst%2F2017%2Fv10i37%2F167892