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In this paper, an unconstrained quadratic programming problem with uncertain parameters is discussed. For this purpose, the basic idea of optimizing the unconstrained quadratic programming problem is introduced. The solution method of solving linear equations could be applied to obtain the optimal solution for this kind of problem. Later, the theoretical work on the optimization of the unconstrained quadratic programming problem is presented. By this, the model parameters, which are unknown values, are considered. In this uncertain situation, it is assumed that these parameters are normally distributed; then, the simulation on these uncertain parameters are performed, so the quadratic programming problem without constraints could be solved iteratively by using the gradient-based optimization approach. For illustration, an example of this problem is studied. The computation procedure is expressed, and the result obtained shows the optimal solution in the uncertain environment. In conclusion, the unconstrained quadratic programming problem, which has uncertain parameters, could be solved successfully.
sie_long_kek. 2021. \u201cUnconstrained Quadratic Programming Problem with Uncertain Parameters\u201d. Global Journal of Research in Engineering - I: Numerical Methods GJRE-I Volume 21 (GJRE Volume 21 Issue I1).
Crossref Journal DOI 10.17406/gjre
Print ISSN 0975-5861
e-ISSN 2249-4596
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Total Score: 103
Country: Unknown
Subject: Global Journal of Research in Engineering - I: Numerical Methods
Authors: Sie Long Kek, Harley Ooi, Fong Peng Lim (PhD/Dr. count: 0)
View Count (all-time): 282
Total Views (Real + Logic): 1974
Total Downloads (simulated): 891
Publish Date: 2021 09, Thu
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