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» Exploiting Decomposition in Constraint Optimization Problems
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CCE
2004
13 years 7 months ago
Computational studies using a novel simplicial-approximation based algorithm for MINLP optimization
Significant advances have been made in the last two decades for the effective solution of mixed integer non-linear programming (MINLP) problems, mainly by exploiting the special s...
Vishal Goyal, Marianthi G. Ierapetritou
CP
2009
Springer
14 years 2 months ago
A Hybrid Constraint Model for the Routing and Wavelength Assignment Problem
In this paper we present a hybrid model for the demand acceptance variant of the routing and wavelength assignment problem in directed networks, an important benchmark problem in o...
Helmut Simonis
ICC
2007
IEEE
141views Communications» more  ICC 2007»
14 years 1 months ago
A Decomposition-Based Low-Complexity Scheduling Scheme for Power Minimization under Delay Constraints in Time-Varying Uplink Cha
Abstract— In this paper, we investigate the problem of minimizing the average transmission power of users while guaranteeing the average delay constraints in time-varying uplink ...
Hojoong Kwon, Byeong Gi Lee
CVPR
2010
IEEE
14 years 3 months ago
Convex Shape Decomposition
In this paper, we propose a new shape decomposition method, called convex shape decomposition. We formalize the convex decomposition problem as an integer linear programming probl...
Liu Hairong, Longin Jan Latecki, Liu Wenyu
ICASSP
2008
IEEE
14 years 2 months ago
Iterative R-D optimization of H.264
In this paper, we apply the primal-dual decomposition and subgradient projection methods to solve the rate-distortion optimization problem with the constant bit rate constraint. T...
Cheolhong An, Truong Q. Nguyen