Description: Dynamic Programming Multi-Objective Combinatorial Optimization Please note: this item is printed on demand and will take extra time before it can be dispatched to you (up to 20 working days). Author(s): Michal Mankowski, Mikhail Moshkov Format: Hardback Publisher: Springer Nature Switzerland AG, Switzerland Imprint: Springer Nature Switzerland AG ISBN-13: 9783030639198, 978-3030639198 Synopsis 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. The results presented are useful for researchers in combinatorial optimization. This book is also useful as the basis for graduate courses.
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Book Title: Dynamic Programming Multi-Objective Combinatorial Optimization
Number of Pages: 214 Pages
Language: English
Publication Name: Dynamic Programming Multi-Objective Combinatorial Optimization
Publisher: Springer Nature Switzerland A&G
Publication Year: 2021
Subject: Computer Science
Item Height: 235 mm
Item Weight: 512 g
Type: Textbook
Author: Mikhail Moshkov, Michal Mankowski
Series: Studies in Systems, Decision and Control
Item Width: 155 mm
Format: Hardcover
