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On the efficiency of the algorithm for solving complex quadratic double–ratio minimax optimization problem | ||
| Computational Methods for Differential Equations | ||
| مقاله 25، دوره 13، شماره 3، مهر 2025، صفحه 1074-1084 اصل مقاله (448.66 K) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22034/cmde.2025.64854.2951 | ||
| نویسندگان | ||
| Arezu Zare؛ Bahram Sadeghi Bigham* | ||
| Department of Computer Science, Faculty of Mathematical Sciences, Alzahra University, Tehran, Iran. | ||
| چکیده | ||
| Quadratic fractional optimization problems frequently arise in wireless communications. This paper introduces an enhanced semidefinite optimization relaxation approach for tackling signal design challenges associated with quadratic double–ratio minimax optimization in complex space. It results in two algorithms that offer a global optimum solution for the problem. | ||
| کلیدواژهها | ||
| Fractional programming؛ Minimax optimization؛ Quadratic programming؛ Semidefinite programming؛ Global optimization | ||
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آمار تعداد مشاهده مقاله: 77 تعداد دریافت فایل اصل مقاله: 101 |
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