Download e-book for kindle: Algorithms and theory of computation handbook, - Special by Mikhail J. Atallah, Marina Blanton

By Mikhail J. Atallah, Marina Blanton

ISBN-10: 1584888202

ISBN-13: 9781584888208

Algorithms and idea of Computation instruction manual, moment variation: targeted issues and strategies presents an updated compendium of basic computing device technology issues and strategies. It additionally illustrates how the themes and methods come jointly to bring effective strategies to big functional problems.

Along with updating and revising the various latest chapters, this moment version includes greater than 15 new chapters. This variation now covers self-stabilizing and pricing algorithms in addition to the theories of privateness and anonymity, databases, computational video games, and conversation networks. It additionally discusses computational topology, common language processing, and grid computing and explores purposes in intensity-modulated radiation treatment, balloting, DNA study, structures biology, and fiscal derivatives.

This best-selling guide maintains to assist laptop pros and engineers locate major info on quite a few algorithmic issues. The specialist participants basically outline the terminology, current easy effects and strategies, and provide a couple of present references to the in-depth literature. additionally they supply a glimpse of the foremost examine concerns about the appropriate topics.

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Extra resources for Algorithms and theory of computation handbook, - Special topics and techniques

Example text

A typical example is the AVL tree or red-black tree. NP-hard problem: A complexity class of problems that are intrinsically harder than those that can be solved by a Turing machine in nondeterministic polynomial time. , an optimization version is NP-hard. For example, to decide if there exist k star-shaped polygons whose union is equal to a given simple polygon, for some parameter k, is NP-complete. , finding a minimum number of star-shaped polygons whose union is equal to a given simple polygon, is NP-hard.

If one adopts the algorithm by Hershberger and Suri [42] the above problems can be solved in O(n) time. 6 of this book. 5 Decomposition Polygon decomposition arises in pattern recognition [77] in which recognition of a shape is facilitated by first decomposing it into simpler components, called primitives, and comparing them to templates previously stored in a library via some similarity measure. This class of decomposition is called component-directed decomposition. The primitives are often convex.

Vij , v . 2. v ∈ R. In this case we add diagonals v , vij , for 0 ≤ j ≤ k. C is updated to be composed of vik and v and it becomes a right chain. 13a and b illustrates these two cases, respectively, in which the shaded portion has been triangulated. Fournier and Montuno [34] and independently Chazelle and Incerpi [17] showed that triangulation of a polygon is linear-time equivalent to computing the horizontal visibility map. Based on this result Tarjan and Van Wyk [76] first devised an O(n log log n) time algorithm that computes the horizontal visibility map and hence, an O(n log log n) time algorithm for triangulating a simple polygon.

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Algorithms and theory of computation handbook, - Special topics and techniques by Mikhail J. Atallah, Marina Blanton


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