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EOR
2010
160views more  EOR 2010»
13 years 11 months ago
A modified alternating direction method for convex quadratically constrained quadratic semidefinite programs
We propose a modified alternate direction method for solving convex quadratically constrained quadratic semidefinite optimization problems. The method is a first-order method, the...
Jie Sun, Su Zhang
MP
2008
91views more  MP 2008»
13 years 10 months ago
The rate of convergence of the augmented Lagrangian method for nonlinear semidefinite programming
We analyze the rate of local convergence of the augmented Lagrangian method for nonlinear semidefinite optimization. The presence of the positive semidefinite cone constraint requ...
Defeng Sun, Jie Sun, Liwei Zhang
AISB
1995
Springer
14 years 2 months ago
An Evolutionary Algorithm for Parametric Array Signal Processing
This paper presents an evolutionary algorithm for solving parameter optimization problems in parametric array signal processing. The method utilises the niche concept to maintain a...
Dekun Yang, Stuart J. Flockton
SADM
2008
178views more  SADM 2008»
13 years 10 months ago
Fast Projection-Based Methods for the Least Squares Nonnegative Matrix Approximation Problem
: Nonnegative matrix approximation (NNMA) is a popular matrix decomposition technique that has proven to be useful across a diverse variety of fields with applications ranging from...
Dongmin Kim, Suvrit Sra, Inderjit S. Dhillon
JSCIC
2007
131views more  JSCIC 2007»
13 years 10 months ago
An Analysis of the Minimal Dissipation Local Discontinuous Galerkin Method for Convection-Diffusion Problems
Abstract. We analyze the so-called the minimal dissipation local discontinuous Galerkin method for convection-diffusion or diffusion problems. The distinctive feature of this met...
Bernardo Cockburn, Bo Dong