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» Methods for convex and general quadratic programming
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MP
2010
135views more  MP 2010»
15 years 5 months ago
An inexact Newton method for nonconvex equality constrained optimization
Abstract We present a matrix-free line search algorithm for large-scale equality constrained optimization that allows for inexact step computations. For sufficiently convex problem...
Richard H. Byrd, Frank E. Curtis, Jorge Nocedal
TSP
2012
14 years 2 months ago
Robust Multicast Beamforming for Spectrum Sharing-Based Cognitive Radios
Abstract—We consider a robust downlink beamforming optimization problem for secondary multicast transmission in a multiple-input multiple-output (MIMO) spectrum sharing cognitive...
Yongwei Huang, Qiang Li, Wing-Kin Ma, Shuzhong Zha...
JGO
2010
100views more  JGO 2010»
15 years 1 months ago
On convex relaxations of quadrilinear terms
The best known method to find exact or at least -approximate solutions to polynomial programming problems is the spatial Branch-and-Bound algorithm, which rests on computing lower...
Sonia Cafieri, Jon Lee, Leo Liberti
DAC
2004
ACM
16 years 7 months ago
Automated design of operational transconductance amplifiers using reversed geometric programming
We present a method for designing operational amplifiers using reversed geometric programming, which is an extension of geometric programming that allows both convex and non-conve...
Johan P. Vanderhaegen, Robert W. Brodersen
ICARCV
2008
IEEE
170views Robotics» more  ICARCV 2008»
16 years 1 months ago
Mixed state estimation for a linear Gaussian Markov model
— We consider a discrete-time dynamical system with Boolean and continuous states, with the continuous state propagating linearly in the continuous and Boolean state variables, a...
Argyris Zymnis, Stephen P. Boyd, Dimitry M. Gorine...