Dynamic Programming Multi-Objective Combinatorial Optimization: 331 (Studies in Systems, Decision and Control, 331) - Image 1

£109.82

Springer Dynamic Programming Multi-Objective Combinatorial Optimization: 331 (Studies in Systems, Decision and Control, 331)

Name: Dynamic Programming Multi-Objective Combinatorial Optimization: 331 (Studies in Systems, Decision and Control, 331)
Brand: Springer
Price: 109.82 GBP
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Product Description 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. From the Back Cover 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.

Product Specifications

Brand: Springer
Format: hardcover
ASIN: 3030639193
Category: Books > Subjects > Computing & Internet > Computer Science > AI & Machine Learning
Domain: Amazon UK
Release Date: 09 February 2021
Listed Since: 15 October 2020

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Springer Dynamic Programming Multi-Objective Combinatorial Optimization: 331 (Studies in Systems, Decision and Control, 331)

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