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Dynamic Programming Multi-Objective Combinatorial Optimization (Hardcover, 1st ed. 2021) Loot Price: R4,606
Discovery Miles 46 060
Dynamic Programming Multi-Objective Combinatorial Optimization (Hardcover, 1st ed. 2021): Michal Mankowski, Mikhail Moshkov

Dynamic Programming Multi-Objective Combinatorial Optimization (Hardcover, 1st ed. 2021)

Michal Mankowski, Mikhail Moshkov

Series: Studies in Systems, Decision and Control, 331

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Loot Price R4,606 Discovery Miles 46 060 | Repayment Terms: R432 pm x 12*

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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. The results presented are useful for researchers in combinatorial optimization. This book is also useful as the basis for graduate courses.

General

Imprint: Springer Nature Switzerland AG
Country of origin: Switzerland
Series: Studies in Systems, Decision and Control, 331
Release date: February 2021
First published: 2021
Authors: Michal Mankowski • Mikhail Moshkov
Dimensions: 235 x 155mm (L x W)
Format: Hardcover
Pages: 214
Edition: 1st ed. 2021
ISBN-13: 978-3-03-063919-8
Categories: Books > Computing & IT > Computer programming > General
Books > Computing & IT > Applications of computing > Artificial intelligence > General
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LSN: 3-03-063919-3
Barcode: 9783030639198

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