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Mathematics of Operations Research
Results: 1289

#	Item
681	ABRAHAM FLAXMAN, Carnegie Mellon University, Pittsburgh, PA, USA On the Average Case Performance of Some Greedy Approximation Algorithms for the Uncapacitated Facility Location Problem In combinatorial optimization, a po Add to Reading List Source URL: cms.math.ca Language: English - Date: 2006-07-10 21:18:20 Computational complexity theory Operations research Approximation algorithm Asymptotically optimal algorithm Algorithm Optimization problem Combinatorial optimization Facility location Greedy algorithm Theoretical computer science Applied mathematics Mathematics
682	Office of Science Financial Assistance Funding Opportunity Announcement DE-FOA[removed]Advancing Uncertainty Quantification (UQ) in Modeling, Simulation, and Analysis Add to Reading List Source URL: science.energy.gov Language: English - Date: 2012-11-08 14:14:59 Mathematical sciences Knowledge Federal assistance in the United States Funding Opportunity Announcement Public finance Simulation Uncertainty quantification Scientific modelling Computational science Operations research Applied mathematics Statistics
683	Single-Machine Scheduling with Release Dates, Due Dates and Family Setup Times Add to Reading List Source URL: doc.utwente.nl Language: English - Date: 2011-08-28 15:52:38 Applied mathematics Scheduling Single-Minute Exchange of Die Operations research Business Job shop scheduling
684	Space Dilation in Polynomial-Time Perceptron Algorithms Andriy Kharechko∗† [removed] Abstract This talk surveys applications of space dilation in the perceptron-like algorithms for solving systems of linear inequa Add to Reading List Source URL: eprints.pascal-network.org Language: English - Date: 2011-11-30 10:22:02 Operations research Convex optimization Linear programming Combinatorial optimization Computational complexity theory Ellipsoid method Perceptron Mathematical optimization Time complexity Theoretical computer science Applied mathematics Mathematics
685	Quadratic Programming Relaxations for Metric Labeling and Markov Random Field MAP Estimation Pradeep Ravikumar John Lafferty School of Computer Science, Carnegie Mellon University, Pittsburgh, PA 15213, USA Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2006-05-19 14:30:14 Linear programming Convex optimization Linear programming relaxation Relaxation Quadratic programming Randomized rounding Duality Dynamic programming Mathematical optimization Operations research Mathematics
686	Information-theoretic lower bounds on the oracle complexity of convex optimization Alekh Agarwal Computer Science Division UC Berkeley Add to Reading List Source URL: www.cs.utexas.edu Language: English - Date: 2011-07-20 18:14:16 Operations research Convex analysis Generalized functions Convex optimization Lipschitz continuity Distribution Convex function Vector space Loss function Mathematics Mathematical analysis Mathematical optimization
687	A Calculational Approach to Program Inversion Shin-Cheng Mu Linacre College 23rd January 2003 Add to Reading List Source URL: www.iis.sinica.edu.tw Language: English - Date: 1969-12-31 19:00:00 Operations research Mathematical optimization Mathematical logic Analysis of algorithms Algorithm RSA Dynamic programming Tree traversal Time complexity Mathematics Theoretical computer science Applied mathematics
688	Programming Languages T.A. Standish Editor Add to Reading List Source URL: www.cs.mun.ca Language: English - Date: 2006-03-21 10:29:32 Dynamic programming Models of computation Automata theory Operations research Optimal control Finite-state machine Levenshtein distance Viterbi algorithm Mathematics Theoretical computer science Applied mathematics
689	Information-theoretic lower bounds on the oracle complexity of sparse convex optimization Peter L. Bartlett Computer Science Division Department of Statistics Add to Reading List Source URL: www.cs.utexas.edu Language: English - Date: 2010-11-27 20:16:44 Convex analysis Operations research Convex optimization Linear algebra Convex function Lipschitz continuity Vector space Subgradient method Distribution Mathematical optimization Mathematical analysis Mathematics
690	Measurement and Analysis of Data Quality for Simulations Michael Reiter1, Jun.- Prof. Dimka Karastoyanova1, Prof. Frank Leymann1, Dr. Hong-Linh Truong2 1 IAAS, University of Stuttgart, Germany; 2 Infosys, Vienna Universi Add to Reading List Source URL: www.iaas.uni-stuttgart.de Language: English - Date: 2011-07-28 05:21:24 Simulation Data quality Mathematical analysis Mathematics Science Partial differential equations Finite element method Operations research

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