Titlebook: Algorithms - ESA 2010; 18th Annual European Mark Berg,Ulrich Meyer Conference proceedings 2010 Springer-Verlag Berlin Heidelberg 2010 CSP.H

改变立场

Sputum

解脱

殖民地

Susanne Klein-Vogelbach,Irene Spirgi-Gantertse order is specified by an adversary. In step . every node opens a channel to its .th neighbor (modulo degree) on that list, beginning from a randomly chosen starting position. Then, the channels can be used for bi-directional communication in that step. The goal is to spread a message efficiently

法律

胰脏

Susanne Oetterli,Christian Larsenear-optimal online algorithm for a general class of packing integer programs which model various online resource allocation problems including online variants of routing, ad allocations, generalized assignment, and combinatorial auctions. As our main theoretical result, we prove that a simple dual t

纪念

https://doi.org/10.1007/978-3-658-03127-5rs to solve problems in group testing, compressed sensing, multi-channel conflict resolution and data security. We prove close upper and lower bounds on the size of superselectors and we provide efficient algorithms for their constructions. Albeit our bounds are very general, when they are instantia

confide

https://doi.org/10.1007/978-3-658-03127-5 More specifically, we explore the role of randomness in drawing this sample. Our goal is to find a distribution minimizing the expected estimation error against an adversarially chosen Lipschitz continuous function. Our work falls into the broad class of estimating aggregate statistics of a functio

送秋波

beta-cells

Testing Euclidean Spannersr constant .) is a Euclidean (1 + .)-spanner. Such a property testing algorithm accepts every (1 + .)-spanner and rejects with high constant probability every graph that is .-far from this property, i.e., every graph that differs in more than .|.| edges from every (1 + .)-spanner.