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Image of Dynamic Programming Multi-Objective Combinatorial Optimization

Electronic Resource

Dynamic Programming Multi-Objective Combinatorial Optimization

Mankowski, Michal - Personal Name; Moshkov, Mikhail - Personal Name;

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This book introduces a fairly universal approach to the design and analysis of exact optimization algorithms for multi-objective combinatorial optimization problems. It proposes the circuits without repetitions representing the sets of feasible solutions along with the increasing and strictly increasing cost functions as a model for such problems. The book designs the algorithms for multi-stage and bi-criteria optimization and for counting the solutions in the framework of this model.


As applications, this book studies eleven known combinatorial optimization problems: matrix chain multiplication, global sequence alignment, optimal paths in directed graphs, binary search trees, convex polygon triangulation, line breaking (text justification), one-dimensional clustering, optimal bitonic tour, segmented least squares, optimization of matchings in trees, and 0/1 knapsack problem.


Availability
Inventory Code Barcode Call Number Location Status
1908001317EB0001923519.64 Man dCentral Library (OPAC)Available
Detail Information
Series Title
-
Call Number
519.64 Man d
Publisher
Switzerland : Springer Cham., 2021
Collation
xiv, 214p.:Ill
Language
English
ISBN/ISSN
978-3-030-63920-4
Classification
519.64
Content Type
Ebook
Media Type
-
Carrier Type
online resource
Edition
1
Subject(s)
Dynamic Programming
Specific Detail Info
-
Statement of Responsibility
BRF
Other version/related

No other version available

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  • Dynamic Programming Multi-Objective Combinatorial Optimization
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