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MP
2006
103views more  MP 2006»
13 years 8 months ago
Assessing solution quality in stochastic programs
Determining if a solution is optimal or near optimal is fundamental in optimization theory, algorithms, and computation. For instance, Karush-Kuhn-Tucker conditions provide necessa...
Güzin Bayraksan, David P. Morton
ECML
2004
Springer
14 years 10 days ago
Efficient Hyperkernel Learning Using Second-Order Cone Programming
The kernel function plays a central role in kernel methods. Most existing methods can only adapt the kernel parameters or the kernel matrix based on empirical data. Recently, Ong e...
Ivor W. Tsang, James T. Kwok
CVPR
2004
IEEE
14 years 10 months ago
Approximation of Canonical Sets and Their Applications to 2D View Simplification
Given a set of patterns and a similarity measure between them, we will present an optimization framework to approximate a small subset, known as a canonical set, whose members clo...
Trip Denton, Jeff Abrahamson, Ali Shokoufandeh
AUTOMATICA
2010
90views more  AUTOMATICA 2010»
13 years 8 months ago
A line search improvement of efficient MPC
A recent lifting technique led to a computationally efficient Model Predictive Control (MPC) strategy in which the online optimization is performed using a univariate Newton-Raphs...
Basil Kouvaritakis, Shuang Li, Mark Cannon
ICWN
2009
13 years 6 months ago
Wireless Sensor Network Localization With Imprecise Measurements Using Only a Quadratic Solver
The energy constrained wireless sensor nodes need very efficient localization algorithm for event detection. We propose a method for localizing the wireless sensor nodes using the ...
Maneesha V. Ramesh, K. P. Soman