Download e-book for iPad: Algorithms: Sequential, Parallel, and Distributed by Kenneth A. Berman, Jerome L. Paul

By Kenneth A. Berman, Jerome L. Paul

ISBN-10: 0534420575

ISBN-13: 9780534420574

Algorithms: Sequential, Parallel, and dispensed bargains in-depth insurance of conventional and present themes in sequential algorithms, in addition to a high-quality advent to the idea of parallel and dispensed algorithms. In mild of the emergence of recent computing environments akin to parallel desktops, the net, and cluster and grid computing, it can be crucial that laptop technology scholars be uncovered to algorithms that take advantage of those applied sciences. Berman and Paul's textual content will educate scholars find out how to create new algorithms or alter present algorithms, thereby bettering students' skill to imagine independently.

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Du and F. K. ): Computing in Euclidean Geometry, World Scientific Publishing, Singapore, 1992, pp. 193–233. 5. K. Kobayashi and K. Sugihara: Crystal Voronoi diagram and its applications. Future Generation Computer System, vol. 18 (2002), pp. 681–692. 6. -T. Lee: Two-dimensional Voronoi diagrams in the Lp -metric. Journal of the ACM, vol. 27 (1980), pp. 604–618. 7. A. Okabe, B. Boots, K. Sugihara and S. N. Chiu: Spatial Tessellations — Concepts and Applications of Voronoi Diagrams, Second Edition.

IEEE Symp. on Foundations of Comp. Sci. (2001). 5. Kannan, and Khanna. Selection with monotone comparison costs. In Proc. ACMSIAM Symp. on Discrete Algorithms (2003). 6. Komlos, Ma, and Szemeredi. Matching nuts and bolts in O(n log n) time. SIAM Journal on Discrete Mathematics 11 (1998). jp Abstract. A new concept called a boat-sail distance is introduced on the surface of water with flow, and it is used to define a generalized Voronoi diagram, in such a way that the water surface is partitioned into regions belonging to the nearest harbors with respect to this distance.

Sadakane, and T. Tokuyama such an x0 that is the x-coordinate value of both a vertex T L and a vertex in T R. Theorem 2. The optimal pyramidic approximation φ of a piecewise linear function f with n linear pieces can be computed in O(n) time. Proof. We can compute W L (u) and W R (v) for all the vertices in linear time. Thus, we can find the peak of φ. Then, φ is obtained from the chains in T L and T R from the root to u and v, respectively. 5 Piecewise Unimodal Approximation of a Function Although we have considered the problem where the output is single-peaked, we often need to approximate a function with a function with a small number of maximal peaks.

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Algorithms: Sequential, Parallel, and Distributed by Kenneth A. Berman, Jerome L. Paul

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