Convergence Properties of Dikin"s Affine Scaling Algorithm for Nonconvex Quadratic Minimization
Journal of Global Optimization
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The affine scaling algorithm for linear programming involves a step-size parameter t that must be chosen in the interval (0,1). It is known that the algorithm converges to an optimal solution for values of $t \le 2/3$. In this paper we examine the behavior of the algorithm for values of t 2/3. We show that for certain values of t in this range the algorithm can exhibit chaotic behavior.