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» Level-set methods for convex optimization
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SODA
1993
ACM
119views Algorithms» more  SODA 1993»
14 years 10 months ago
Iterated Nearest Neighbors and Finding Minimal Polytopes
We introduce a new method for nding several types of optimal k-point sets, minimizing perimeter, diameter, circumradius, and related measures, by testing sets of the O(k) nearest ...
David Eppstein, Jeff Erickson
AUTOMATICA
2008
167views more  AUTOMATICA 2008»
14 years 9 months ago
Stability and robustness analysis of nonlinear systems via contraction metrics and SOS programming
A wide variety of stability and performance questions about linear dynamical systems can be reformulated as convex optimization problems involving linear matrix inequalities (LMIs...
Erin M. Aylward, Pablo A. Parrilo, Jean-Jacques E....
WCNC
2010
IEEE
14 years 7 months ago
Robust Relay Precoder Design for MIMO-Relay Networks
Abstract—In this paper, we consider a robust design of MIMOrelay precoder and receive filter for the destination nodes in a non-regenerative multiple-input multiple-output (MIMO...
P. Ubaidulla, Ananthanarayanan Chockalingam
CORR
2010
Springer
207views Education» more  CORR 2010»
14 years 6 months ago
TILT: Transform Invariant Low-rank Textures
Abstract. In this paper, we show how to efficiently and effectively extract a rich class of low-rank textures in a 3D scene from 2D images despite significant distortion and warpin...
Zhengdong Zhang, Arvind Ganesh, Xiao Liang, Yi Ma
FOCM
2011
175views more  FOCM 2011»
14 years 4 months ago
Convergence of Fixed-Point Continuation Algorithms for Matrix Rank Minimization
The matrix rank minimization problem has applications in many fields such as system identification, optimal control, low-dimensional embedding etc. As this problem is NP-hard in ...
Donald Goldfarb, Shiqian Ma