2019
DOI: 10.2139/ssrn.3430764
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Optimal Solution Techniques in Decision Sciences: A Review

Abstract: Methods to find the optimization solution are fundamental and extremely crucial for scientists to program computational software to solve optimization problems efficiently and for practitioners to use it efficiently. Thus, it is very essential to know about the idea, origin, and usage of these methods. Although the methods have been used for very long time and the theory has been developed too long, most, if not all, of the authors who develop the theory are unknown and the theory has not been stated clearly a… Show more

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Cited by 6 publications
(4 citation statements)
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References 108 publications
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“…Last, we note that there are many other areas in decision sciences that can use the approaches discussed in our paper to get the moment generating function, expectation and variance of different distributions, in this paper we also review some as discussed in the above. For more applications in decision sciences that can use the approaches discussed in our paper to get the moment generating function, expectation and variance of different distributions, readers may refer to Chang, McAleer, and Wong (2015, 2018a, 2018b, 2018c and Pho, Tran, Ho, and Wong (2019) for more information.…”
Section: Other Statistical and Econometric Modelsmentioning
confidence: 99%
“…Last, we note that there are many other areas in decision sciences that can use the approaches discussed in our paper to get the moment generating function, expectation and variance of different distributions, in this paper we also review some as discussed in the above. For more applications in decision sciences that can use the approaches discussed in our paper to get the moment generating function, expectation and variance of different distributions, readers may refer to Chang, McAleer, and Wong (2015, 2018a, 2018b, 2018c and Pho, Tran, Ho, and Wong (2019) for more information.…”
Section: Other Statistical and Econometric Modelsmentioning
confidence: 99%
“…Last, we note that there are many other areas in decision sciences that can use the approaches discussed in our paper to get the moment generating function, expectation and variance of different distributions, in this paper we also review some as discussed in the above. For more applications in decision sciences that can use the approaches discussed in our paper to get the moment generating function, expectation and variance of different distributions, readers may refer to Chang, McAleer, and Wong (2015, 2018a, 2018b, 2018c and Pho, Tran, Ho, and Wong (2019) for more information.…”
Section: Other Statistical and Econometric Modelsmentioning
confidence: 99%
“…A criterion was established for selecting the appropriate model and its applications in [9]. Various optimization methods such as the Newton-Raphson, bisection, gradient, and secant methods were reviewed and discussed in [10]. Te optimization solution of the estimating function in the regression models was determined in [11,12].…”
Section: Introductionmentioning
confidence: 99%