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» Polynomial time algorithms for network information flow
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DIALM
2008
ACM
139views Algorithms» more  DIALM 2008»
13 years 9 months ago
Approximating maximum integral flows in wireless sensor networks via weighted-degree constrained k-flows
We consider the Maximum Integral Flow with Energy Constraints problem: given a directed graph G = (V, E) with edge-weights {w(e) : e E} and node battery capacities {b(v) : v V }...
Zeev Nutov
NETWORKS
2007
13 years 7 months ago
Incremental flow
This paper defines an incremental version of the maximum flow problem. In this model, the capacities increase over time and the resulting solution is a sequence of flows that b...
Jeff Hartline, Alexa Sharp
CORR
2010
Springer
167views Education» more  CORR 2010»
13 years 7 months ago
Network Flow Algorithms for Structured Sparsity
We consider a class of learning problems that involve a structured sparsityinducing norm defined as the sum of -norms over groups of variables. Whereas a lot of effort has been pu...
Julien Mairal, Rodolphe Jenatton, Guillaume Obozin...
WWW
2007
ACM
14 years 8 months ago
Information flow modeling based on diffusion rate for prediction and ranking
Information flows in a network where individuals influence each other. The diffusion rate captures how efficiently the information can diffuse among the users in the network. We p...
Xiaodan Song, Yun Chi, Koji Hino, Belle L. Tseng
WAOA
2010
Springer
264views Algorithms» more  WAOA 2010»
13 years 5 months ago
An FPTAS for Flows over Time with Aggregate Arc Capacities
We study flows over time in networks with transit times on the arcs. Transit times describe how long it takes to traverse an arc. A flow over time specifies for each arc a time-dep...
Daniel Dressler, Martin Skutella