University of Tabriz Computational Methods for Differential Equations 2345-3982 13 3 2025 07 01 On the efficiency of the algorithm for solving complex quadratic double–ratio minimax optimization problem 1074 1084 19093 10.22034/cmde.2025.64854.2951 EN Arezu Zare Department of Computer Science, Faculty of Mathematical Sciences, Alzahra University, Tehran, Iran. Bahram Sadeghi Bigham Department of Computer Science, Faculty of Mathematical Sciences, Alzahra University, Tehran, Iran. Journal Article 2024 11 28 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. Fractional Programming Minimax optimization Quadratic programming Semidefinite programming Global optimization https://cmde.tabrizu.ac.ir/article_19093_ba46f9a075316b4bfe12cf8f8cc55e23.pdf