Vandenberghe, Lieven - Electrical Engineering Department, University of California at Los Angeles

Advanced Search

Vandenberghe, Lieven - Electrical Engineering Department, University of California at Los Angeles

INTERIOR-POINT METHODS FOR MAGNITUDE FILTER DESIGN Brien Alkire and Lieven Vandenberghe
DISCRETE TRANSFORMS, SEMIDEFINITE PROGRAMMING AND SUM-OF-SQUARES REPRESENTATIONS OF NONNEGATIVE
INTERIOR-POINT METHOD FOR NUCLEAR NORM APPROXIMATION WITH APPLICATION TO SYSTEM
MAXIMUM-LIKELIHOOD ESTIMATION OF AUTOREGRESSIVE MODELS WITH CONDITIONAL INDEPENDENCE CONSTRAINTS
1 Interior-point methods for large-scale cone programming
Recursive training methods for robust classification: A sequential analytic centering approach to the support
GENERALIZED CHEBYSHEV BOUNDS VIA SEMIDEFINITE PROGRAMMING
1 Graphical models of autoregressive Jitkomut Songsiri, Joachim Dahl, and Lieven Vandenberghe
INTERIOR-POINT ALGORITHMS FOR SUM-OF-SQUARES OPTIMIZATION OF MULTIDIMENSIONAL TRIGONOMETRIC POLYNOMIALS
Connections Between Duality in Control Theory and Convex Optimization
Support vector machine training using matrix completion Martin S. Andersen
Topology selection in graphical models of autoregressive Jitkomut Songsiri
Semidefinite programming methods for system realization and identification
Covariance selection for non-chordal graphs via chordal embedding Joachim Dahl
Low-rank structure in semidefinite programs derived from the KYP Zhang Liu and Lieven Vandenberghe
Multidimensional FIR filter design via trigonometric sum-of-squares optimization
Interior-point algorithms for semidefinite programming problems derived from the KYP
On the implementation of primal-dual interior-point methods for semidefinite programming problems derived
Algorithms and Software for LMI Problems in Control Lieven Vandenberghey
UCLA Fall Quarter 2010-11 Electrical Engineering 103
Generalized KYP Lemma with Real Data Goele Pipeleers, and Lieven Vandenberghe
Maximum likelihood estimation of Gaussian graphical models: Numerical implementation and topology selection
Handling Nonnegative Constraints in Spectral Estimation Brien Alkire and Lieven Vandenberghe
Model calibration for optical lithography via semidefinite programming
Logarithmic barriers for sparse matrix cones Martin S. Andersen