Rodrigues, David and Seruca, Manuel (2019): A Novel Practical and Fast Economic Method Based on Nonconvex Quadratic Programming.
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Abstract
In many industries such as power system, economic operations problems are usually nonconvex problems that are hard to be solved. This paper presents a novel YALMIP-based nonconvex quadratic programming model as a tool to find solution for which is accurate, and there is no need to convexify the problem. In the end, the effectiveness of the method is shown by applying it to nonconvex problems.
Item Type: | MPRA Paper |
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Original Title: | A Novel Practical and Fast Economic Method Based on Nonconvex Quadratic Programming |
English Title: | A Novel Practical and Fast Economic Method Based on Nonconvex Quadratic Programming |
Language: | English |
Keywords: | Economics, Mathematical economic model, Industrial Application |
Subjects: | A - General Economics and Teaching > A1 - General Economics A - General Economics and Teaching > A2 - Economic Education and Teaching of Economics G - Financial Economics > G1 - General Financial Markets G - Financial Economics > G1 - General Financial Markets > G10 - General H - Public Economics > H0 - General L - Industrial Organization > L0 - General L - Industrial Organization > L8 - Industry Studies: Services |
Item ID: | 95392 |
Depositing User: | Dr Manuel Seruca |
Date Deposited: | 02 Aug 2019 02:19 |
Last Modified: | 02 Oct 2019 10:39 |
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[34]https://yalmip.github.io/example/nonconvexquadraticprogramming/ |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/95392 |