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AAAI
2000
15 years 5 months ago
Solving a Supply Chain Optimization Problem Collaboratively
We propose a novel algorithmic framework to solve an integrated planning and scheduling problem in supply chain management. This problem involves the integration of an inventory m...
Hoong Chuin Lau, Andrew Lim, Qi Zhang Liu
128
Voted
ICPP
2009
IEEE
15 years 1 months ago
Employing Transactional Memory and Helper Threads to Speedup Dijkstra's Algorithm
In this paper we work on the parallelization of the inherently serial Dijkstra's algorithm on modern multicore platforms. Dijkstra's algorithm is a greedy algorithm that ...
Konstantinos Nikas, Nikos Anastopoulos, Georgios I...
HEURISTICS
2006
197views more  HEURISTICS 2006»
15 years 4 months ago
Bucket elimination for multiobjective optimization problems
Multiobjective optimization deals with problems involving multiple measures of performance that should be optimized simultaneously. In this paper we extend bucket elimination (BE),...
Emma Rollon, Javier Larrosa
ESA
2010
Springer
227views Algorithms» more  ESA 2010»
15 years 5 months ago
Approximating Parameterized Convex Optimization Problems
We consider parameterized convex optimization problems over the unit simplex, that depend on one parameter. We provide a simple and efficient scheme for maintaining an -approximat...
Joachim Giesen, Martin Jaggi, Sören Laue
CORR
2010
Springer
171views Education» more  CORR 2010»
15 years 4 months ago
Solving Inverse Problems with Piecewise Linear Estimators: From Gaussian Mixture Models to Structured Sparsity
A general framework for solving image inverse problems is introduced in this paper. The approach is based on Gaussian mixture models, estimated via a computationally efficient MAP...
Guoshen Yu, Guillermo Sapiro, Stéphane Mall...