Dynamic Programming Multi-Objective Combinatorial Optimization

Name: Dynamic Programming Multi-Objective Combinatorial Optimization
Brand: Springer Nature Switzerland AG
SKU: 9783030639228
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Autor: Michal Mankowski, Mikhail Moshkov

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Editura: Springer Nature Switzerland AG

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This book introduces a fairly universal approach to the design and analysis of exact optimization al...

Informații despre carte

Autor

Michal Mankowski, Mikhail Moshkov

Limbă

engleză

Legare

Carte - Carte broșată

Publicat

2022

Pagini

214

EAN

9783030639228

Enbook ID

38603620

Editura

Springer Nature Switzerland AG

Greutate

355

Dimensiuni

155 x 235 x 13

Descriere completă

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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Dynamic Programming Multi-Objective Combinatorial Optimization

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