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Titlebook: Algorithms and Data Structures; 10th International W Frank Dehne,J?rg-Rüdiger Sack,Norbert Zeh Conference proceedings 2007 Springer-Verlag

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發(fā)表于 2025-3-21 17:23:40 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱(chēng)Algorithms and Data Structures
期刊簡(jiǎn)稱(chēng)10th International W
影響因子2023Frank Dehne,J?rg-Rüdiger Sack,Norbert Zeh
視頻videohttp://file.papertrans.cn/154/153157/153157.mp4
學(xué)科分類(lèi)Lecture Notes in Computer Science
圖書(shū)封面Titlebook: Algorithms and Data Structures; 10th International W Frank Dehne,J?rg-Rüdiger Sack,Norbert Zeh Conference proceedings 2007 Springer-Verlag
影響因子The papers in this volume were presented at the 10th Workshop on Algorithms and Data Structures (WADS 2005). The workshop took place August 15 - 17, 2007, at Dalhousie University, Halifax, Canada. The workshop alternates with the Scandinavian Workshop on Algorithm Theory (SWAT), continuing the t- dition of SWAT and WADS starting with SWAT 1988 and WADS 1989. From 142 submissions, the Program Committee selected 54 papers for presentation at the workshop. In addition, invited lectures were given by the following dist- guished researchers: Je? Erickson (University of Illinois at Urbana-Champaign) and Mike Langston (University of Tennessee). On behalf of the Program Committee, we would like to express our sincere appreciation to the many persons whose e?ort contributed to making WADS 2007 a success. These include the invited speakers, members of the Steering and ProgramCommittees, the authorswho submitted papers, andthe manyreferees who assisted the Program Committee. We are indebted to Gerardo Reynaga for installing and modifying the submission software, maintaining the submission server and interacting with authors as well as for helping with the preparation of the program.
Pindex Conference proceedings 2007
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Approximate Range Searching: The Absolute Modelpproximation parameter .>?0 is provided. Most prior work on this problem has focused on the case of relative errors, where each range shape . is bounded, and points within distance . of the range’s boundary may or may not be included. We consider a different approximation model, called the ., in whi
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Orthogonal Range Searching in Linear and Almost-Linear Spacee that supports orthogonal range reporting queries in .(log.?+?.log..) time, where . is the size of the answer. Our data structure also supports emptiness and one-reporting queries in .(log.) time and thus achieves optimal time and space for this type of queries. In the case of integer point coordin
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The Stackelberg Minimum Spanning Tree Gamered either red or blue, and where the red edges have a given fixed cost (representing the competitor’s prices). The first player chooses an assignment of prices to the blue edges, and the second player then buys the cheapest possible minimum spanning tree, using any combination of red and blue edges
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