Pardalos P. Nonlinear Assignment Problems. Algorithms...App 2000 torrent

Textbook in PDF format

Nonlinear Assignment Problems (NAPs) are natural extensions of the classic Linear Assignment Problem, and despite the efforts of many researchers over the past three decades, they still remain some of the hardest combinatorial optimization problems to solve exactly. The purpose of this book is to provide in a single volume, major algorithmic aspects and applications of NAPs as contributed by leading international experts.
The chapters included in this book are concerned with major applications and the latest algorithmic solution approaches for NAPs. Approximation algorithms, polyhedral methods, semidefinite programming approaches and heuristic procedures for NAPs are included, while applications of this problem class in the areas of multiple-target tracking in the context of military surveillance systems, of experimental high energy physics, and of parallel processing are presented.
Audience: Researchers and graduate students in the areas of combinatorial optimization, mathematical programming, operations research, physics, and computer science.
Front Matter
Multi Index Assignment Problems: Complexity, Approximation, Applications
Multidimensional Assignment Problems Arising in Multitarget and Multisensor Tracking
Target-Based Weapon Target Assignment Problems
The Nonlinear Assignment Problem in Experimental High Energy Physics
Polyhedral Methods for Solving Three Index Assignment Problems
Polyhedral Methods for the QAP
Semidefinite Programming Approaches to the Quadratic Assignment Problem
Heuristics for Nonlinear Assignment Problems
Symbolic Scheduling of Parameterized Task Graphs on Parallel Machines
Decomposition Algorithms for Communication Minimization in Parallel Computing
Back Matter