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CDC
2008
IEEE
112views Control Systems» more  CDC 2008»
15 years 7 months ago
Application of the proximal center decomposition method to distributed model predictive control
Abstract— In this paper we present a dual-based decomposition method, called here the proximal center method, to solve distributed model predictive control (MPC) problems for cou...
Ion Necoara, Dang Doan, Johan A. K. Suykens
CP
2001
Springer
15 years 5 months ago
A CLP Approach to the Protein Side-Chain Placement Problem
Abstract. Selecting conformations for side-chains is an important subtask in building three-dimensional protein models. Side-chain placement is a difficult problem because of the l...
Martin T. Swain, Graham J. L. Kemp
ICCSA
2003
Springer
15 years 5 months ago
Coarse-Grained Parallel Matrix-Free Solution of a Three-Dimensional Elliptic Prototype Problem
The finite difference discretization of the Poisson equation in three dimensions results in a large, sparse, and highly structured system of linear equations. This prototype prob...
Kevin P. Allen, Matthias K. Gobbert
135
Voted
IJCNN
2006
IEEE
15 years 6 months ago
Sparse Optimization for Second Order Kernel Methods
— We present a new optimization procedure which is particularly suited for the solution of second-order kernel methods like e.g. Kernel-PCA. Common to these methods is that there...
Roland Vollgraf, Klaus Obermayer
91
Voted
AUTOMATICA
2007
72views more  AUTOMATICA 2007»
15 years 17 days ago
A probabilistic analytic center cutting plane method for feasibility of uncertain LMIs
ust control problems can be formulated in abstract form as convex feasibility programs, where one seeks a solution x that satisfies a set of inequalities of the form F . = {f (x,...
Giuseppe C. Calafiore, Fabrizio Dabbene