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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
R4,479 Discovery Miles 44 790 Ships in 10 - 15 working days

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.

Dynamic Programming Multi-Objective Combinatorial Optimization (Paperback, 1st ed. 2021): Michal Mankowski, Mikhail Moshkov Dynamic Programming Multi-Objective Combinatorial Optimization (Paperback, 1st ed. 2021)
Michal Mankowski, Mikhail Moshkov
R4,448 Discovery Miles 44 480 Ships in 10 - 15 working days

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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