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» Methods for convex and general quadratic programming
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MP
2010
135views more  MP 2010»
15 years 4 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 1 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 22 days 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 12 days 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...