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Convex
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261	BASIS PURSUIT IN SENSOR NETWORKS João F. C. Mota1,2 , João M. F. Xavier2 , Pedro M. Q. Aguiar2 , and Markus Püschel3 1 Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, USA 2 Add to Reading List Source URL: www.ee.ucl.ac.uk Language: English - Date: 2013-07-05 07:45:59 Operations research Combinatorial optimization Theoretical computer science Convex optimization A* search algorithm Algorithm NP Linear programming Belief propagation Mean value analysis
262	A-1 APPENDIX 1. Probability Spaces. Add to Reading List Source URL: www.eurandom.tue.nl Language: English - Date: 2016-07-13 03:43:17 Non-associative algebras Convex geometry Symmetric cone SchuetteNesbitt formula
263	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
264	Journal of Global Optimization 24: 485–486, Book Review Add to Reading List Source URL: si.deis.unical.it Language: English Mathematical optimization Global optimization Penalty method Convex optimization Algorithm Multi-objective optimization Multidisciplinary design optimization
265	Constructive Discrepancy Minimization for Convex Sets Thomas Rothvoss UW Seattle Discrepancy theory Add to Reading List Source URL: www.math.washington.edu Language: English - Date: 2014-08-04 23:07:58 Diophantine approximation Graph coloring Combinatorics Discrepancy theory Measure theory
266	Sebastian U. Stich MADALGO & CTIC Summer SchoolInstitute of Theoretical Computer Science Add to Reading List Source URL: sstich.ch Language: English - Date: 2011-09-05 06:18:42 Evolutionary algorithms Mathematical optimization Operations research Stochastic optimization CMA-ES Convex optimization Global optimization Gradient descent Evolution strategy Gaussian adaptation Derivative-free optimization Gradient method
267	HVX: Disciplined Convex Programming and Symbolic Subdifferentiation in Haskell Chris Copeland 1 Add to Reading List Source URL: www.scs.stanford.edu Language: English - Date: 2014-06-12 03:57:46 Convex analysis Mathematical optimization Convex optimization Operations research Variational analysis Subgradient method Subderivative Ellipsoid method Convex function Generalized algebraic data type Convex set Map
268	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
269	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
270	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