Scholion.ai

Convergence Conditions for Nonlinear Programming Algorithms

Willard I. Zangwill

Management Science · 1969 · Volume 16 · Issue 1

DOI: 10.1287/mnsc.16.1.1

Abstract

Conditions which are necessary and sufficient for convergence of a nonlinear programming algorithm are stated. It is also shown that the convergence conditions can be easily applied to most programming algorithms. As examples, algorithms by Arrow, Hurwicz and Uzawa; Cauchy; Frank and Wolfe; and Newton-Raphson are proven to converge by direct application of the convergence conditions. Also the Topkis-Veinott convergence conditions for feasible direction algorithms are shown to be a special case of the conditions stated in this paper.

Enable JavaScript for citation tools and additional paper interactions.