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CPHYSICS
2006
182views more  CPHYSICS 2006»
13 years 7 months ago
MinFinder: Locating all the local minima of a function
A new stochastic clustering algorithm is introduced that aims to locate all the local minima of a multidimensional continuous and differentiable function inside a bounded domain. ...
Ioannis G. Tsoulos, Isaac E. Lagaris
SIAMSC
2008
132views more  SIAMSC 2008»
13 years 7 months ago
Stochastic Preconditioning for Diagonally Dominant Matrices
Abstract. This paper presents a new stochastic preconditioning approach for large sparse matrices. For the class of matrices that are row-wise and column-wise irreducibly diagonall...
Haifeng Qian, Sachin S. Sapatnekar
CDC
2008
IEEE
112views Control Systems» more  CDC 2008»
14 years 2 months ago
Application of the proximal center decomposition method to distributed model predictive control
Abstract— In this paper we present a dual-based decomposition method, called here the proximal center method, to solve distributed model predictive control (MPC) problems for cou...
Ion Necoara, Dang Doan, Johan A. K. Suykens
ECCV
2008
Springer
14 years 9 months ago
Automatic Generator of Minimal Problem Solvers
Abstract. Finding solutions to minimal problems for estimating epipolar geometry and camera motion leads to solving systems of algebraic equations. Often, these systems are not tri...
Martin Bujnak, Tomás Pajdla, Zuzana Kukelov...
CGF
1998
127views more  CGF 1998»
13 years 7 months ago
Getting Rid of Links in Hierarchical Radiosity
Hierarchical radiosity with clustering has positioned itself as one of the most efficient algorithms for computing global illumination in non-trivial environments. However, using...
Marc Stamminger, Hartmut Schirmacher, Philipp Slus...