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CDC
2010
IEEE
176views Control Systems» more  CDC 2010»
13 years 2 months ago
Random projection algorithms for convex set intersection problems
The focus of this paper is on the set intersection problem for closed convex sets admitting projection operation in a closed form. The objective is to investigate algorithms that w...
Angelia Nedic
SIAMSC
2010
104views more  SIAMSC 2010»
13 years 5 months ago
A New Sobolev Gradient Method for Direct Minimization of the Gross--Pitaevskii Energy with Rotation
Abstract. In this paper we improve traditional steepest descent methods for the direct minimization of the Gross-Pitaevskii (GP) energy with rotation at two levels. We first defi...
Ionut Danaila, Parimah Kazemi
SIAMIS
2010
155views more  SIAMIS 2010»
13 years 2 months ago
Smoothing Nonlinear Conjugate Gradient Method for Image Restoration Using Nonsmooth Nonconvex Minimization
Image restoration problems are often converted into large-scale, nonsmooth and nonconvex optimization problems. Most existing minimization methods are not efficient for solving su...
Xiaojun Chen, Weijun Zhou
INFOCOM
1995
IEEE
13 years 11 months ago
Complexity of Gradient Projection Method for Optimal Routing in Data Networks
—In this paper, we derive a time-complexity bound for the gradient projection method for optimal routing in data networks. This result shows that the gradient projection algorith...
Wei Kang Tsai, John K. Antonio, Garng M. Huang
ICDM
2010
IEEE
167views Data Mining» more  ICDM 2010»
13 years 5 months ago
Averaged Stochastic Gradient Descent with Feedback: An Accurate, Robust, and Fast Training Method
On large datasets, the popular training approach has been stochastic gradient descent (SGD). This paper proposes a modification of SGD, called averaged SGD with feedback (ASF), tha...
Xu Sun, Hisashi Kashima, Takuya Matsuzaki, Naonori...