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Titlebook: SWAT ‘88; 1st Scandinavian Wor Rolf Karlsson,Andrzej Lingas Conference proceedings 1988 Springer-Verlag Berlin Heidelberg 1988 Algorithms.R

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發(fā)表于 2025-3-21 18:15:35 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱SWAT ‘88
副標(biāo)題1st Scandinavian Wor
編輯Rolf Karlsson,Andrzej Lingas
視頻videohttp://file.papertrans.cn/861/860387/860387.mp4
叢書(shū)名稱Lecture Notes in Computer Science
圖書(shū)封面Titlebook: SWAT ‘88; 1st Scandinavian Wor Rolf Karlsson,Andrzej Lingas Conference proceedings 1988 Springer-Verlag Berlin Heidelberg 1988 Algorithms.R
描述The papers in this volume were presented at the 1st Scandinavian Workshop on Algorithm Theory held July 5-8, 1988 in Halmstad, Sweden. The contributions present original research in areas related to algorithm theory, including data structures, computational geometry, and computational complexity. In addition to the selected papers the proceedings include invited papers from I. Munro, K. Mehlhorn, M. Overmars, and D. Wood.
出版日期Conference proceedings 1988
關(guān)鍵詞Algorithms; Resolution; algorithm; complexity; computational geometry; data structure; data structures; alg
版次1
doihttps://doi.org/10.1007/3-540-19487-8
isbn_softcover978-3-540-19487-3
isbn_ebook978-3-540-39288-0Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 1988
The information of publication is updating

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A lower bound and two approximative algorithms for the K-partitioning of rectilinear polygons, algorithms for the .-partitioning problem are presented. Their time complexities are O(. log..) or O(..log .), depending on the properties of the given .-gon. In most cases, both algorithms find .-partitions with no more than 2.(.) components.
板凳
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Connectability problems,ing these problems in a general framework might lead to general solutions. Some solutions are presented. In particular, an .(. log .loglog .) solution is given for determining all pairs of points in a set that can be connected with an axis-parallel rectangle, avoiding a set of obstacle points.
地板
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Parallel solution of sparse linear systems,of .. The algorithm has two stages. First is a graph-theoretic structure prediction phase, which runs in time .(log..). There follows a numerical computation phase, which runs in time proportional to the height of the elimination tree of . times a log factor.
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An extrapolation on the interpolation search, found in less than 10 accesses on the average, without using any knowledge of the distribution..There are two basic ideas that accomplish this improvement. One is to allow extrapolation over small intervals, and the other is to use the least-square method to approximate the first probe position in the table.
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