Titlebook: Algorithm Theory - SWAT 2000; 7th Scandinavian Wor Magnus M. Halldorsson Conference proceedings 2000 Springer-Verlag Berlin Heidelberg 2000

retort

书目名称Algorithm Theory - SWAT 2000影响因子(影响力)




书目名称Algorithm Theory - SWAT 2000影响因子(影响力)学科排名




书目名称Algorithm Theory - SWAT 2000网络公开度




书目名称Algorithm Theory - SWAT 2000网络公开度学科排名




书目名称Algorithm Theory - SWAT 2000被引频次




书目名称Algorithm Theory - SWAT 2000被引频次学科排名




书目名称Algorithm Theory - SWAT 2000年度引用




书目名称Algorithm Theory - SWAT 2000年度引用学科排名




书目名称Algorithm Theory - SWAT 2000读者反馈




书目名称Algorithm Theory - SWAT 2000读者反馈学科排名

cringe

PHONE

On-Line Scheduling with Precedence Constraintsgive a (randomized) lower bound of Ω(logm) with or without preemptions. We show that the (deterministic) greedy algorithm (no preemptions used), is . for this model i.e. O(logm) competitive. However, for general precedence constraints, we show a lower bound of . which is easily matched by a greedy a

细颈瓶

Improved Upper Bounds for Pairing Heapsge sorted lists of varying sized optimally, within constant factors. Utilizing the distribution sensitive behavior of pairing heap, an alternative method the employs pairing heaps for optimal list merging is derived.

不容置疑

On Graph Powers for Leaf-Labeled Treeseaf power of a tree T, and if so, produce a tree . for which G is a k-leaf power. We believe that our structural results will form the basis of a solution for more general k. The general problem of inferring hidden tree structure on the basis of leaf relationships shows up in several areas of application.

regale

Creditee

https://doi.org/10.1007/978-3-322-93517-5ecisely, the size of the separator is within an ..) factor of the optimal for the class of planar graphs, where δ is any positive constant, and can be listed in time proportional to its size. The dynamic data structure occupies . space and can initially be constructed in time linear to the size of the original graph.

incite

指耕作

Diskurs 4: Integrierende Demokratiepetitive ratio of 1 + 1/e.. We show that the algorithm is optimal by proving a matching lower bound..We also consider the non-preemptive model with temporary tasks. We prove that for .=. + 1, the greedy algorithm is optimal. (It is not optimal for permanent tasks).

abreast

A Dynamic Algorithm for Maintaining Graph Partitionsecisely, the size of the separator is within an ..) factor of the optimal for the class of planar graphs, where δ is any positive constant, and can be listed in time proportional to its size. The dynamic data structure occupies . space and can initially be constructed in time linear to the size of the original graph.