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LAMAS
2005
Springer
15 years 5 months ago
Unifying Convergence and No-Regret in Multiagent Learning
We present a new multiagent learning algorithm, RVσ(t), that builds on an earlier version, ReDVaLeR . ReDVaLeR could guarantee (a) convergence to best response against stationary ...
Bikramjit Banerjee, Jing Peng
DSN
2003
IEEE
15 years 5 months ago
A Study of Packet Delivery Performance during Routing Convergence
Internet measurements have shown that network failures happen frequently, and that existing routing protocols can take multiple seconds, or even minutes, to converge after a failu...
Dan Pei, Lan Wang, Daniel Massey, Shyhtsun Felix W...
TSP
2008
85views more  TSP 2008»
14 years 11 months ago
Convergence of a Class of Decentralized Beamforming Algorithms
One of the key issues in decentralized beamforming is the need to phasealign the carriers of all the sensors in the network. Recent work in this area has shown the viability of ce...
James A. Bucklew, William A. Sethares
CORR
2008
Springer
116views Education» more  CORR 2008»
14 years 11 months ago
Polynomial Filtering for Fast Convergence in Distributed Consensus
Abstract--In the past few years, the problem of distributed consensus has received a lot of attention, particularly in the framework of ad hoc sensor networks. Most methods propose...
Effrosini Kokiopoulou, Pascal Frossard
FOCM
2010
161views more  FOCM 2010»
14 years 10 months ago
The Asymptotics of Wilkinson's Shift: Loss of Cubic Convergence
One of the most widely used methods for eigenvalue computation is the QR iteration with Wilkinson’s shift: here the shift s is the eigenvalue of the bottom 2 × 2 principal mino...
Ricardo S. Leite, Nicolau C. Saldanha, Carlos Tome...