Titlebook: Algorithms - ESA 2006; 14th Annual European Yossi Azar,Thomas Erlebach Conference proceedings 2006 Springer-Verlag Berlin Heidelberg 2006 Q

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书目名称Algorithms - ESA 2006影响因子(影响力)




书目名称Algorithms - ESA 2006影响因子(影响力)学科排名




书目名称Algorithms - ESA 2006网络公开度




书目名称Algorithms - ESA 2006网络公开度学科排名




书目名称Algorithms - ESA 2006被引频次




书目名称Algorithms - ESA 2006被引频次学科排名




书目名称Algorithms - ESA 2006年度引用




书目名称Algorithms - ESA 2006年度引用学科排名




书目名称Algorithms - ESA 2006读者反馈




书目名称Algorithms - ESA 2006读者反馈学科排名

dry-eye

Die Geschichte der Männlichkeittect collisions with a KDS of .(.log..) size that can handle events in .(log..) time. This structure processes .(..) events in the worst case, assuming that the objects follow constant-degree algebraic trajectories. If the objects have similar sizes then the size of the KDS becomes .(.) and events can be handled in .(1) time.

originality

结果

音乐戏剧

vasculitis

isotope

Kinetic Collision Detection for Convex Fat Objectstect collisions with a KDS of .(.log..) size that can handle events in .(log..) time. This structure processes .(..) events in the worst case, assuming that the objects follow constant-degree algebraic trajectories. If the objects have similar sizes then the size of the KDS becomes .(.) and events can be handled in .(1) time.

正论

Single Machine Precedence Constrained Scheduling Is a Vertex Cover Problemling problem can be explained, and in some cases improved, by means of vertex cover theory. For example, our result implies the existence of a polynomial time algorithm for the special case of two-dimensional partial orders. This considerably extends Lawler’s result from 1978 for series-parallel orders.

魅力

PRO

Negative Examples for Sequential Importance Sampling of Binary Contingency Tablesand rows. These are apparently the first theoretical results on the efficiency of the SIS algorithm for binary contingency tables. Finally, we present experimental evidence that the SIS algorithm is efficient for row and column sums that are regular. Our work is a first step in determining rigorously the class of inputs for which SIS is effective.