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NIPS
1993
13 years 8 months ago
Optimal Stochastic Search and Adaptive Momentum
Stochastic optimization algorithms typically use learning rate schedules that behave asymptotically as (t) = 0=t. The ensemble dynamics (Leen and Moody, 1993) for such algorithms ...
Todd K. Leen, Genevieve B. Orr
CONCUR
2009
Springer
13 years 5 months ago
On Convergence of Concurrent Systems under Regular Interactions
Convergence is often the key liveness property for distributed systems that interact with physical processes. Techniques for proving convergence (asymptotic stability) have been ex...
Pavithra Prabhakar, Sayan Mitra, Mahesh Viswanatha...
SIAMAM
2008
131views more  SIAMAM 2008»
13 years 7 months ago
Asymptotic and Numerical Techniques for Resonances of Thin Photonic Structures
We consider the problem of calculating resonance frequencies and radiative losses of an optical resonator. The optical resonator is in the form of a thin membrane with variable die...
J. Gopalakrishnan, S. Moskow, F. Santosa
SIAMMA
2010
87views more  SIAMMA 2010»
13 years 2 months ago
Asymptotic Shallow Water Models for Internal Waves in a Two-Fluid System with a Free Surface
Abstract. In this paper, we derive asymptotic models for the propagation of two and threedimensional gravity waves at the free surface and the interface between two layers of immis...
Vincent Duchêne
ICASSP
2008
IEEE
14 years 2 months ago
Distributed average consensus with increased convergence rate
The average consensus problem in the distributed signal processing context is addressed by linear iterative algorithms, with asymptotic convergence to the consensus. The convergen...
Boris N. Oreshkin, Tuncer C. Aysal, Mark Coates