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Convex optimization
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#	Item
131	Optimal Mechanism Design for a Sequencing Problem with Two-Dimensional Types Ruben Hoeksma1 and Marc Uetz2 1 2 Add to Reading List Source URL: dii.uchile.cl Language: English - Date: 2016-08-08 18:08:00 Operations research Combinatorial optimization Linear programming Convex optimization Integer programming Mathematical optimization Polyhedral combinatorics
132	CS261: A Second Course in Algorithms Lecture #10: The Minimax Theorem and Algorithms for Linear Programming∗ Tim Roughgarden† February 4, 2016 Add to Reading List Source URL: theory.stanford.edu Language: English - Date: 2016-02-14 14:14:35 Operations research Linear programming Convex optimization Combinatorial optimization Mathematical optimization Simplex algorithm Ellipsoid method Simplex Candidate solution Nonlinear programming Minimax Optimization problem
133	Randomized Smoothing Techniques in Optimization Add to Reading List Source URL: stanford.edu Language: English - Date: 2014-10-16 22:22:19 Mathematical optimization Gradient descent Convex function Convex optimization Loss functions for classification
134	With the advent of massive data sets, statistical learning and information processing techniques are expected to enable unprecedented possibilities for better decision making. However, existing algorithms for mathematica Add to Reading List Source URL: mmds-data.org Language: English - Date: 2016-06-23 15:50:48 Mathematical optimization Cybernetics Operations research Machine learning Convex optimization Global optimization Book:Optimization
135	Journal of Machine Learning Research) ??-?? Submitted; Revised; PublishedEfficient Online and Batch Learning using Forward Backward Splitting Add to Reading List Source URL: stanford.edu Language: English - Date: 2014-09-05 13:17:08 Mathematical optimization Convex analysis Convex optimization Subgradient method Gradient descent Lipschitz continuity Subderivative Support vector machine
136	c 2010 Society for Industrial and Applied Mathematics SIAM J. OPTIM. Vol. 0, No. 0, pp. 000–000 Add to Reading List Source URL: theory.stanford.edu Language: English - Date: 2010-10-18 16:47:20 Mathematical optimization Operations research Convex optimization Linear algebra Linear programming Duality Eigenvalues and eigenvectors Constrained optimization Algorithm Linear complementarity problem Convex analysis
137	50 LINEAR PROGRAMMING Martin Dyer, Bernd G¨artner, Nimrod Megiddo and Emo Welzl Add to Reading List Source URL: people.inf.ethz.ch Language: English - Date: 2016-07-12 11:32:46 Operations research Linear programming Convex optimization Combinatorial optimization Computational geometry Bounding sphere LP-type problem Simplex algorithm Time complexity Mathematical optimization Integer programming Duality
138	Abstracts of MMA2014, May, 2014, Druskininkai, Lithuania c VGTU, 2014 B−1 -CONVEX FUNCTIONS AND SOME IMPORTANT PROPERTIES Add to Reading List Source URL: inga.vgtu.lt Language: English - Date: 2014-06-02 02:47:50 Partial differential equations Convex analysis Mathematical optimization Variational analysis Convex function Differential equation Variational inequality Interpolation Finite difference operator
139	Typical Properties of Winners and Losers in Discrete Optimization Rene Beier∗ Max-Planck-Institut f¨ur Informatik Saarbr¨ucken Add to Reading List Source URL: www-i1.informatik.rwth-aachen.de Language: English - Date: 2007-01-05 13:31:59 Operations research Mathematical optimization Stochastic processes Convex optimization Expected value Normal distribution Probability density function Stochastic programming Convergence of random variables
140	JuliaOpt Optimization packages in Julia Iain Dunning Operations Research Center MIT Add to Reading List Source URL: iaindunning.com Language: English - Date: 2015-08-12 01:24:20 Mathematical optimization Numerical software Mathematical modeling Operations research Convex optimization AMPL Conic optimization SCIP Nl Julia TOMLAB LINGO

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