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» On the convergence of Hill's method
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95
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SIAMJO
2008
93views more  SIAMJO 2008»
15 years 21 days ago
Recursive Trust-Region Methods for Multiscale Nonlinear Optimization
A class of trust-region methods is presented for solving unconstrained nonlinear and possibly nonconvex discretized optimization problems, like those arising in systems governed by...
Serge Gratton, Annick Sartenaer, Philippe L. Toint
INFORMATICALT
2007
75views more  INFORMATICALT 2007»
15 years 20 days ago
An Effective Method for Initialization of Lloyd-Max's Algorithm of Optimal Scalar Quantization for Laplacian Source
Abstract. In this paper an exact and complete analysis of the Lloyd–Max’s algorithm and its initialization is carried out. An effective method for initialization of Lloyd–Max...
Zoran Peric, Jelena Nikolic
98
Voted
SIAMNUM
2010
105views more  SIAMNUM 2010»
14 years 7 months ago
Quantization Based Filtering Method Using First Order Approximation
The quantization based filtering method (see [13], [14]) is a grid based approximation method to solve nonlinear filtering problems with discrete time observations. It relies on o...
Afef Sellami
89
Voted
ICASSP
2009
IEEE
15 years 7 months ago
Blind Monte Carlo detection-estimation method for optical coherence tomography
We consider the parametric analysis of frequency-domain optical coherence tomography (OCT) signals. A Monte Carlo (Gibbs sampler) detection-estimation method for determining the d...
Georg Kail, Clemens Novak, Bernd Hofer, Franz Hlaw...
CDC
2008
IEEE
150views Control Systems» more  CDC 2008»
15 years 7 months ago
Subgradient methods and consensus algorithms for solving convex optimization problems
— In this paper we propose a subgradient method for solving coupled optimization problems in a distributed way given restrictions on the communication topology. The iterative pro...
Björn Johansson, Tamás Keviczky, Mikae...