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CDC
2010
IEEE
104views Control Systems» more  CDC 2010»
15 years 1 months ago
Single timescale regularized stochastic approximation schemes for monotone Nash games under uncertainty
Abstract-- In this paper, we consider the distributed computation of equilibria arising in monotone stochastic Nash games over continuous strategy sets. Such games arise in setting...
Jayash Koshal, Angelia Nedic, Uday V. Shanbhag
TIT
2010
115views Education» more  TIT 2010»
15 years 1 months ago
On resource allocation in fading multiple-access channels-an efficient approximate projection approach
We consider the problem of rate and power allocation in a multiple-access channel. Our objective is to obtain rate and power allocation policies that maximize a general concave ut...
Ali ParandehGheibi, Atilla Eryilmaz, Asuman E. Ozd...
SODA
2012
ACM
297views Algorithms» more  SODA 2012»
13 years 8 months ago
Constant factor approximation algorithm for the knapsack median problem
We give a constant factor approximation algorithm for the following generalization of the k-median problem. We are given a set of clients and facilities in a metric space. Each fa...
Amit Kumar
ICASSP
2008
IEEE
16 years 24 days ago
Sparse reconstruction by separable approximation
Finding sparse approximate solutions to large underdetermined linear systems of equations is a common problem in signal/image processing and statistics. Basis pursuit, the least a...
Stephen J. Wright, Robert D. Nowak, Mário A...
GISCIENCE
2004
Springer
130views GIS» more  GISCIENCE 2004»
15 years 11 months ago
Comparing Exact and Approximate Spatial Auto-regression Model Solutions for Spatial Data Analysis
The spatial auto-regression (SAR) model is a popular spatial data analysis technique, which has been used in many applications with geo-spatial datasets. However, exact solutions f...
Baris M. Kazar, Shashi Shekhar, David J. Lilja, Ra...