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02969nam a22005175i 4500 |
| 001 |
978-1-4614-5286-7 |
| 003 |
DE-He213 |
| 005 |
20151029221115.0 |
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cr nn 008mamaa |
| 008 |
121026s2012 xxu| s |||| 0|eng d |
| 020 |
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|a 9781461452867
|9 978-1-4614-5286-7
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| 024 |
7 |
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|a 10.1007/978-1-4614-5286-7
|2 doi
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|d GrThAP
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|a QA166-166.247
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|a PBV
|2 bicssc
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|a MAT013000
|2 bisacsh
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|a 511.5
|2 23
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| 100 |
1 |
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|a Goldengorin, Boris.
|e author.
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| 245 |
1 |
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|a Data Correcting Approaches in Combinatorial Optimization
|h [electronic resource] /
|c by Boris Goldengorin, Panos M. Pardalos.
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| 264 |
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1 |
|a New York, NY :
|b Springer New York :
|b Imprint: Springer,
|c 2012.
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| 300 |
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|a X, 114 p. 41 illus.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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| 347 |
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|a text file
|b PDF
|2 rda
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|a SpringerBriefs in Optimization,
|x 2190-8354
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| 520 |
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|a 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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| 650 |
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|a Mathematics.
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| 650 |
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|a Data structures (Computer science).
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| 650 |
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|a Algorithms.
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| 650 |
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|a Mathematical optimization.
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| 650 |
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|a Graph theory.
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4 |
|a Mathematics.
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| 650 |
2 |
4 |
|a Graph Theory.
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| 650 |
2 |
4 |
|a Optimization.
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| 650 |
2 |
4 |
|a Data Structures.
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| 650 |
2 |
4 |
|a Algorithm Analysis and Problem Complexity.
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| 650 |
2 |
4 |
|a Algorithms.
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| 700 |
1 |
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|a Pardalos, Panos M.
|e author.
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| 710 |
2 |
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|a SpringerLink (Online service)
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| 773 |
0 |
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|t Springer eBooks
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| 776 |
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8 |
|i Printed edition:
|z 9781461452850
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| 830 |
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|a SpringerBriefs in Optimization,
|x 2190-8354
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| 856 |
4 |
0 |
|u http://dx.doi.org/10.1007/978-1-4614-5286-7
|z Full Text via HEAL-Link
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| 912 |
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|a ZDB-2-SMA
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| 950 |
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|a Mathematics and Statistics (Springer-11649)
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