GIANNESSI, F. -PARDALOS, P.- RAPCSÁK, T.(eds): Optimization theroy : Recent     developments from Mátraháza.
Table of Contents


Heuristics for the Process Network Synthesis Problem; Z. Blazsik, et al.

Heuristics for Simplified Process Network Synthesis (PNS). Problems with a
Blossom-Type Algorithm for the Edge Covering Problem; Z. Blazsik, et al.

Lower and Upper Bounds on the Probability of the Union of Some Events with Applications; J.

The Linear Complementarity Problem and the Class of Generalized Positive Subdefinite Matrices; J.-P. Crouzeix, S. Komlosi.

Computer Experiences with Successive Regression Approximations for Solving Equations; I. Deak.

A Bundle of Smooth Lagrangians in Mathematical Programming; V.F. Demyanov.

A Nontopological Two-function Minimax Theorem with Monotone Transformations of the Functional Values; F. Forgo.

Non-smooth Optimization with Randomization; L. Gerencser, Zs. Vago.

The Sherman-Morrison Formula for the Determinant and its Application for Optimizing Quadratic Functions on Condition Sets Given by Extreme Generators; G. Keri.

Duality for D.C. Optimization Over Campact Sets; J.-E. Martinez-Legaz, M. Volle.

Characterization of Monotone Operators by Using a Special Class of Preinvex Functions;
S.Z. Nemeth.

Two Approaches for Parallelizing the UEGO Algorithm; P.M. Ortigosa, et al.

Convexification of Functions by Nonlinear Coordinate Transformations; T. Rapcsak.

Packing Equal Circles in a Square I. -- Problem Setting and Bounds for Optimal Solutions; P.G. Szabo, et al.

Packing Equal Circles in a Square II. -- New Results for up to 100 Circles Using the TAMSASS-PECS Algorithm; L.G. Casado, et al.

On Duality for Quasi-convex Supremization and Reverse Convex Infimization; I. Singer.

A Minimization Problem in Function Spaces; B. Uhrin.

Book Info

Contains refereed papers based on lectures presented at the XIV International Conference on Mathematical Programming, held at Matrahaza, Hungary. For researchers in operations research, economics, mathematics, physics, and engineers.