Data Correcting Approaches in Combinatorial Optimization

Name: Data Correcting Approaches in Combinatorial Optimization
Brand: Springer, Berlin
SKU: 9781461452850
Price: 49.4 EUR
Availability: InStock

Autor: Boris Goldengorin, Panos M. Pardalos

Jazyk:

Väzba: Brožovaná

Vydavateľ: Springer, Berlin

Dostupnosť: Skladom u dodávateľa v malom množstve

Odosielame za 11-15 dní

49.40 €

Data Correcting Approaches in Combinatorial Optimization focuses on algorithmic applications of the...

Informácie o knihe

Autor

Boris Goldengorin, Panos M. Pardalos

Jazyk

Angličtina

Väzba

Kniha - Brožovaná

Vydalo

2012

Stránok

114

EAN

9781461452850

ISBN

1461452856

Enbook ID

01428245

Vydavateľ

Springer, Berlin

Hmotnosť

188

Rozmery

156 x 236 x 6

Kompletný popis

Data Correcting Approaches in Combinatorial Optimization focuses on algorithmic applications of the well known polynomially solvable special cases of computationally intractable problems. The purpose of this text is to design practically efficient algorithms for solving wide classes of combinatorial optimization problems. Researches, students and engineers will benefit from new bounds and branching rules in development efficient branch-and-bound type computational algorithms. This book examines applications for solving the Traveling Salesman Problem and its variations, Maximum Weight Independent Set Problem, Different Classes of Allocation and Cluster Analysis as well as some classes of Scheduling Problems. Data Correcting Algorithms in Combinatorial Optimization introduces the data correcting approach to algorithms which provide an answer to the following questions: how to construct a bound to the original intractable problem and find which element of the corrected instance one should branch such that the total size of search tree will be minimized. The PC time needed for solving intractable problems will be adjusted with the requirements for solving real world problems.

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