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Advances in Decision Sciences (ADS)

Advances in Decision Sciences (ADS)

Published by Asia University, Taiwan; Scientific and Business World

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Applications of the Newton-Raphson Method in Decision Sciences and Education

Applications of the Newton-Raphson Method in Decision Sciences and Education

Title

Applications of the Newton-Raphson Method in Decision Sciences and Education

Authors

  • Buu-Chau Truong
    (Faculty of Mathematics and Statistics, Ton Duc Thang University, Ho Chi Minh City, Vietnam)
  • Nguyen Van Thuan
    (Department of Postgraduate Studies, Vinh University, Vinh City, Vietnam)
  • Nguyen Huu Hau
    (Department of Training Management, Hong Duc University, Thanh Hoa City, Vietnam)
  • Michael McAleer
    (Department of Finance, Asia University, Taiwan)

Abstract

The Newton-Raphson (NR)methodis one ofthemostimportant and popularmethods to determinean optimal solution in many applications in the decision sciences and education. The NR method
can be used for an optimal solution to obtain estimates in regression models, the maxima or
minima of many functionsin both the one-dimensional and multi-dimensional cases, or to solve
systems of equations with many unknowns in both the one-dimensional and multi-dimensional
cases. Applications of the NR method cover a wide variety of interesting cases, including the
decisionsciences and the teaching of mathematics-related subjects. The primary purpose of the
paper is to provide a universal approach to the theory and practice of the NR method. In addition,
we focus the discussion on applications in decision sciences, statistics, portfolio optimization, and
education, among others Interesting potential research directions of the NR method are also
discussed.
teaching, education.

Keywords

:Newton-Raphson method, optimization, missing data, statistics, decision sciences,

Classification-JEL

A10, G00, G31, O32

Pages

52-80

https://doi.org/10.47654/v23y2019i4p52-80

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ISSN 2090-3359 (Print)
ISSN 2090-3367 (Online)

Asia University, Taiwan

Scientific and Business World

4.7
2023CiteScore
 
86th percentile
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Q2 in Scopus
CiteScore 2023 = 4.7
CiteScoreTracker 2024 = 8.5
SNIP 2023 = 0.799
SJR Quartile = Q1
SJR 2024 = 0.814
H-Index = 20

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