Titlebook: Algorithms - ESA 2003; 11th Annual European Giuseppe Battista,Uri Zwick Conference proceedings 2003 Springer-Verlag Berlin Heidelberg 2003

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书目名称Algorithms - ESA 2003影响因子(影响力)




书目名称Algorithms - ESA 2003影响因子(影响力)学科排名




书目名称Algorithms - ESA 2003网络公开度




书目名称Algorithms - ESA 2003网络公开度学科排名




书目名称Algorithms - ESA 2003被引频次




书目名称Algorithms - ESA 2003被引频次学科排名




书目名称Algorithms - ESA 2003年度引用




书目名称Algorithms - ESA 2003年度引用学科排名




书目名称Algorithms - ESA 2003读者反馈




书目名称Algorithms - ESA 2003读者反馈学科排名

分期付款

Betriebsablauf-orientiertes MUM,define a density parameter that, loosely speaking, bounds the number of zig-zags between locations within a time window. We present a dynamic programming algorithm that finds a tour that visits at least ./. locations during their time windows. This algorithm can be extended to deal with non-unit job

聋子

hypertension

Handbibliothek für Bauingenieureral measure, generalizing the union of data streams or counting distinct elements in data streams..We present the first known data stream algorithms for estimating max-dominance of multiple signals. In particular, we use workspace and time-per-item that are both sublinear (in fact, poly-logarithmic)

做作

先兆

Line System Design and a Generalized Coloring Probleme problem. Here . is proportional to the number of color sets. For the circular graph problem we show that most versions of the problem are hard to approximate to any bounded ratio and we present a 2(1 + .) approximation scheme for a special version of the problem.

TRUST

Horizon

Semi-clairvoyant Schedulinglairvoyant on-line algorithms. In some sense one might conclude from this that the QoS achievable by semi-clairvoyant algorithms is competitive with clairvoyant algorithms..It is known that the clairvoyant algorithm SRPT is optimal with respect to average flow time and is 2-competitive with respect

SMART

Estimating Dominance Norms of Multiple Data Streamsral measure, generalizing the union of data streams or counting distinct elements in data streams..We present the first known data stream algorithms for estimating max-dominance of multiple signals. In particular, we use workspace and time-per-item that are both sublinear (in fact, poly-logarithmic)

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