Table of contents for Nonlinear optimization and related topics / edited by Gianni Di Pillo and Franco Giannessi.

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Preface. Generalized Lagrange multipliers: regularity and boundedness; G. Bigi, M. Pappalardo. A primal-dual algorithm for minimizing a non-convex function subject to bound and linear equality constraints; A.R. Conn, et al. Minimal convexificators of a positively homogeneous function and a characterization of its convexity and concavity; V.F. Demyanov. Optimal control problems and penalization; V.F. Demyanov, et al. A truncated Newton method for constrained optimization; G. Di Pillo, et al. Fixed and virtual stability center methods for convex nonsmooth minimization; A. Fuduli, M. Gaudioso. Iterative methods for ill-conditioned linear systems from optimization; N.I.M. Gould. An algorithm for solving nonlinear programs with noisy inequality constraints; M. Hintermüller. Generic existence uniqueness and stability in optimization problems; A. Ioffe, R. Lucchetti. On a class of bilevel programs; M. Labbé, et al. Separation methods for vector variational inequalities. Saddle point and gap function; G. Mastroeni. Functions with primal-dual gradient structure and U-Hessians; R. Mifflin, C. Sagastizábal. Quadratic and multidimensional assignment problems; P.M. Pardalos, L.S. Pitsoulis. A new merit function and an SQP method for non-strictly monotone variational inequalities; M. Patriksson. A logarithmic barrier approach to Fischer function; J. Peng, et al. On an approach to optimization problems with a probabilistic cost and or constraints; E. Polak, et al. Semiderivative functions and reformulation methods for solving complementarity and variational inequality problems; L. Qi, et al. Global Lagrange multiplier rule and smooth exact penalty functions for equality constraints; T. Rapcsák. Structural methods in the solution of variational inequalities; S.M. Robinson. Extended nonlinear programming; R.T. Rockafellar. On the efficiency of splitting and projection methods for large strictly convex quadratic programs; V. Ruggiero, L. Zanni. A comparison of rates of convergence of two inexact proximal point algorithms; M.V. Solodov, et al. One way to construct a global search algorithm for d. c. minimization problems; A.S. Strekalovsky. Error bounds and superlinear convergence analysis of some Newton-type methods in optimization; P. Tseng. A new derivative-free descent method for the nonlinear complementarity problem; K. Yamada, et al.

Library of Congress subject headings for this publication:
Mathematical optimization -- Congresses.
Nonlinear theories -- Congresses.