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MP
2010
162views more  MP 2010»
14 years 8 months ago
Approximation accuracy, gradient methods, and error bound for structured convex optimization
Convex optimization problems arising in applications, possibly as approximations of intractable problems, are often structured and large scale. When the data are noisy, it is of i...
Paul Tseng
113
Voted
COCOS
2003
Springer
148views Optimization» more  COCOS 2003»
15 years 2 months ago
Convex Programming Methods for Global Optimization
We investigate some approaches to solving nonconvex global optimization problems by convex nonlinear programming methods. We assume that the problem becomes convex when selected va...
John N. Hooker
ICASSP
2009
IEEE
14 years 7 months ago
Comparison of convex combination and affine combination of adaptive filters
In the area of combination of adaptive filters, two main approaches, namely convex and affine combinations have been introduced. In this article, the relation between these two ap...
Alper T. Erdogan, Suleyman Serdar Kozat, Andrew C....
CDC
2009
IEEE
137views Control Systems» more  CDC 2009»
15 years 2 months ago
Kernel regression for travel time estimation via convex optimization
—We develop an algorithm aimed at estimating travel time on segments of a road network using a convex optimization framework. Sampled travel time from probe vehicles are assumed ...
Sebastien Blandin, Laurent El Ghaoui, Alexandre M....
CDC
2010
IEEE
226views Control Systems» more  CDC 2010»
14 years 4 months ago
Fast primal-dual projected linear iterations for distributed consensus in constrained convex optimization
In this paper we study the constrained consensus problem, i.e. the problem of reaching a common point from the estimates generated by multiple agents that are constrained to lie in...
Ion Necoara, Ioan Dumitrache, Johan A. K. Suykens