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» Fast heuristics for large scale covering-location problems
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COR
2002
58views more  COR 2002»
13 years 10 months ago
Fast heuristics for large scale covering-location problems
We propose fast heuristics for large-scale covering-location problems in which the set of demand points is discrete and the set of potential location sites is continuous. These he...
Luce Brotcorne, Gilbert Laporte, Fréd&eacut...
ICPADS
2005
IEEE
14 years 4 months ago
PRec-I-DCM3: A Parallel Framework for Fast and Accurate Large Scale Phylogeny Reconstruction
: Accurate reconstruction of phylogenetic trees very often involves solving hard optimization problems, particularly the maximum parsimony (MP) and maximum likelihood (ML) problems...
Cristian Coarfa, Yuri Dotsenko, John M. Mellor-Cru...
SIAMSC
2011
219views more  SIAMSC 2011»
13 years 5 months ago
Fast Algorithms for Bayesian Uncertainty Quantification in Large-Scale Linear Inverse Problems Based on Low-Rank Partial Hessian
We consider the problem of estimating the uncertainty in large-scale linear statistical inverse problems with high-dimensional parameter spaces within the framework of Bayesian inf...
H. P. Flath, Lucas C. Wilcox, Volkan Akcelik, Judi...
INFORMATICALT
2011
89views more  INFORMATICALT 2011»
13 years 5 months ago
Large-Scale Data Analysis Using Heuristic Methods
Estimation and modelling problems as they arise in many data analysis areas often turn out to be unstable and/or intractable by standard numerical methods. Such problems frequently...
Gintautas Dzemyda, Leonidas Sakalauskas
CSB
2004
IEEE
109views Bioinformatics» more  CSB 2004»
14 years 2 months ago
Rec-I-DCM3: A Fast Algorithmic Technique for Reconstructing Large Phylogenetic Trees
Phylogenetic trees are commonly reconstructed based on hard optimization problems such as maximum parsimony (MP) and maximum likelihood (ML). Conventional MP heuristics for produc...
Usman Roshan, Bernard M. E. Moret, Tandy Warnow, T...