Optimization Online


Analysis of direct searches for non-Lipschitzian functions

L. N. Vicente(lnv***at***mat.uc.pt)
A. L. Custódio(alcustodio***at***fct.unl.pt)

Abstract: It is known that the Clarke generalized directional derivative is nonnegative along the limit directions generated by directional direct-search methods at a limit point of certain subsequences of unsuccessful iterates, if the function being minimized is Lipschitz continuous near the limit point. In this paper we generalize this result for non-Lipschitzian functions using Rockafellar generalized directional derivatives (upper subderivatives). We show that Rockafellar derivatives are also nonnegative along the limit directions of those subsequences of unsuccessful iterates when the function values converge to the function value at the limit point. This result is obtained assuming that the function is directionally Lipschitzian with respect to the limit direction. It is also possible under appropriate conditions to establish more insightful results by showing that the sequence of points generated by these methods eventually approaches the limit point along the locally best branch or step function (when the number of steps is equal to two). The results of this paper are presented for constrained optimization and illustrated numerically.

Keywords: Direct-search methods, directionally Lipschitzian functions, discontinuities, lower semicontinuity, Rockafellar directional derivatives, nonsmooth calculus, Lipschitz extensions.

Category 1: Nonlinear Optimization

Category 2: Nonlinear Optimization (Constrained Nonlinear Optimization )

Citation: L. N. Vicente and A. L. Custódio, Analysis of direct searches for non-Lipschitzian functions, preprint 09-38, Dept. of Mathematics, Univ. Coimbra.

Download: [PDF]

Entry Submitted: 10/12/2009
Entry Accepted: 10/12/2009
Entry Last Modified: 10/12/2009

Modify/Update this entry

  Visitors Authors More about us Links
  Subscribe, Unsubscribe
Digest Archive
Search, Browse the Repository


Coordinator's Board
Classification Scheme
Give us feedback
Optimization Journals, Sites, Societies
Mathematical Programming Society