By Nikolaos V. Sahinidis (auth.), Christian Bliek, Christophe Jermann, Arnold Neumaier (eds.)
This publication constitutes the completely refereed post-proceedings of the 1st overseas Workshop on international Constraints Optimization and Costraint pride, COCOS 2002, held in Valbonne-Sophia Antipolis, France in October 2002.
The 15 revised complete papers provided including 2 invited papers have been conscientiously chosen in the course of rounds of reviewing and development. The papers tackle present matters in international optimization, mathematical programming, and constraint programming; they're grouped in topical sections on optimization, constraint pride, and benchmarking.
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Additional info for Global Optimization and Constraint Satisfaction: First International Workshop on Global Constraint Optimization and Constraint Satisfaction, COCOS 2002, Valbonne-Sophia Antipolis, France, October 2002. Revised Selected Papers
G. not all possible formulations of the Fritz–John equations) have been uniformly tested; only those previously proven to be generally better were tested. Users of GlobSol should not ﬁnd problems with default conﬁgurations; see §5 below. We added additional capabilities to the distribution version of GlobSol subsequent to completion of the Sun Microsystems project. For example, we provided a facility for dealing with non-zero-width parameters, considered as “constants,” but alterable after the code list is created; see  for a study of such parameters.
C Springer-Verlag Berlin Heidelberg 2003 LaGO – An Object Oriented Library for Solving MINLPs 33 The software can be used as a general purpose MINLP solver or as a toolbox for developing specialized solution algorithms. The object oriented design of the library allows easy replacement of modules, such as linear algebra routines and various solvers. Optimization problems can be either provided in AMPLformat [FGK93] or coded in C++ using LaGO ’s class MinlpProblem. e. e. there exist fast methods for multiplying a vector with a Hessian.
Kesavan, R. J. Allgor, E. P. Gatzke, and P. I. Barton. Outer Approximation Algorithms for Separable Nonconvex Mixed-Integer Nonlinear Programs. submitted to Mathematical Programming, 2001. 32 [Now02] I. Nowak. Lagrangian Decomposition of Mixed-Integer All-Quadratic Programs. Technical report, HU–Berlin NR–2002–7, 2002. 37 [PRW95] A. Phillips, J. Rosen, and V. Walke. Molecular structure determination by global optimization. In Dimacs Series in Discrete Mathematics and Theoretical Computer Science, volume 23, pages 181–198.