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Convex analysis
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441	Errata to the second edition February 14, 2008 Errata to the second edition Following is a list of errata for the second edition. Thanks to all readers who have contributed to this list. Add to Reading List Source URL: www.cs.uu.nl Language: English - Date: 2008-02-14 08:37:19 Projective geometry Convex analysis Convex hull Duality Voronoi diagram Geometry Computational geometry Mathematics
442	Learning with stochastic proximal gradient Lorenzo Rosasco ∗ DIBRIS, Universit`a di Genova Via Dodecaneso, [removed]Genova, Italy Add to Reading List Source URL: www.opt-ml.org Language: English - Date: 2014-12-10 11:28:36 Stochastic optimization Operations research Stochastic gradient descent Stochastic approximation Gradient descent Gradient method Subgradient method Convex optimization Numerical analysis Mathematical optimization Mathematical analysis
443	Contemporary Mathematics Using a Robot to Learn Geometric Information from Permutations of Landmarks Benjam´ın Tovar, Luigi Freda, and Steven M. LaValle Abstract. This paper considers a robot that moves in the plane a Add to Reading List Source URL: msl.cs.uiuc.edu Language: English - Date: 2007-01-18 09:55:13 Algebra Computational geometry Convex hull Permutation Mathematics Convex analysis Geometry
444	(This is a sample cover image for this issue. The actual cover is not yet available at this time.) This article appeared in a journal published by Elsevier. The attached copy is furnished to the author for internal non- Add to Reading List Source URL: dollar.biz.uiowa.edu Language: English - Date: 2013-09-12 14:55:38 Operations research Convex analysis Linear programming Convex optimization Cutting-plane method Quadratic programming Quadratically constrained quadratic program Nonlinear programming Duality Mathematical optimization Mathematical analysis Mathematics
445	Quasiconvex Analysis of Backtracking Algorithms David Eppstein Univ. of California, Irvine School of Information and Computer Science Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2004-01-13 01:02:08 Convex analysis Mathematical optimization Operations research Quasiconvex function Real analysis Graph coloring Recurrence relation Convex function Mathematical analysis Mathematics Theoretical computer science
446	C:/Documents and Settings/wkmak/Desktop/DropBox/Dropbox/CP2012_Working/main.dvi Add to Reading List Source URL: www.tmak.info Language: English - Date: 2013-10-06 08:30:29 Operations research Applied mathematics Linear programming Mathematics Mathematical analysis Local consistency Duality Constraint optimization Constraint satisfaction problem Constraint programming Mathematical optimization Convex optimization
447	Coordinate descent converges faster with the Gauss-Southwell rule than random selection Michael Friedlander Department of Mathematics University of California, Davis Add to Reading List Source URL: www.opt-ml.org Language: English - Date: 2014-12-10 11:28:45 Convex analysis Differential calculus Mathematical optimization Regression analysis Lipschitz continuity Gradient Coordinate descent Convex function Derivative Mathematical analysis Mathematics Numerical analysis
448	........................................................................... STAT 538 Final Exam Wednesday March 20, 2013, 4:30-6:20 Student name: .......................................................... Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2015-03-11 22:28:29 Convex analysis Statistical classification Operations research AdaBoost Ensemble learning Convex optimization Support vector machine XTR Function Mathematics Statistics Mathematical optimization
449	........................................................................... STAT 538 Midterm Exam February 19, 2pm – February 21, 2013, 11:30am • take home exam Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2015-03-11 22:28:29 Mathematics Statistical classification Convex analysis Machine learning AdaBoost Convex function Mathematical optimization Linear classifier Boosting Ensemble learning Mathematical analysis Statistics
450	STAT 538 Lecture 2 Conjugate Function, Bregman Divergences, Concepts of Information Theory c Marina Meil˘a Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2015-01-13 22:08:39 Mathematics Statistical theory Randomness Convex analysis Transforms Kullback–Leibler divergence Mutual information Convex conjugate Divergence Statistics Information theory Geometry

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