Free shipping on orders over 19,990 Ft via Packeta, Fox Post Box, and DPD Collection Point

Check order status

Become part of a community of book lovers from all over the world and get access to a whole bunch of benefits. Create an account for free

Free delivery for purchases over 19 990 Ft

DPD courier 1 190 Ft Post 1 795 Ft Post 1 690 Ft Post 1 690 Ft FoxPost 1 190 Ft Packeta point 1 190 Ft DPD point 990 Ft GLS courier 1 690 Ft GLS point 1 190 Ft

Contact

How to shop

Help

My account

▸ Empty :-(

Free shipping on orders over 19,990 Ft via Packeta, Fox Post Box, and DPD Collection Point

Nonlinear Assignment Problems

Name: Nonlinear Assignment Problems
Brand: Springer
SKU: 01396595
Price: 59474 HUF
Availability: InStock
Author: Panos M. Pardalos
ISBN: 9780792366461

Algorithms and Applications

Panos M. Pardalos

L. S. Pitsoulis

Language

English

Book Hardback

Libristo code: 01396595

Publishers Springer, November 2000

Nonlinear Assignment Problems (NAPs) are natural extensions of the classic Linear Assignment Problem... Full description

Libristo code: 01396595

406 b

59 474 Ft

In stock at our supplier Shipping in 10-13 days

30-day return policy

Customers also purchased

Neue Komplexitat in Personalarbeit und Fuhrung Rita Scheinpflug

Hardback

18 233 Ft

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.