Abstract
In this paper, an algorithm is proposed for solving a class of nonconvex fractional problems that result from the optimal correction of inconsistent linear equality systems. The main difficulty with this problem is its nonconvexity. Nevertheless, we can show that a global optimal solution to this problem can be found by solving a very simple univariate equation on a closed interval. Computing a value and a subgradient of the function in the equation consists of solving a single trust region subproblem. This function is convex and strictly increasing. As a result, we provide an alternative algorithm based on generalized Newton's direction. Numerical examples are given to illustrate the effectiveness of the proposed method.
Acknowledgements
We thank the associate editor and two anonymous referees for their constructive comments.