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Convex analysis
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#	Item
941	A practical dual gradient-projection method for large-scale, strictly-convex quadratic programming Nick Gould STFC Rutherford Appleton Laboratory with Add to Reading List Source URL: www.mims.manchester.ac.uk Language: English - Date: 2013-10-24 05:07:09 Mathematical software Operations research Convex optimization CUTEr Harwell Subroutine Library Quadratic programming Galahad Linear programming Duality Numerical analysis Mathematical optimization Numerical software
942	Objective Bayesian calibration and the problem of non-convex evidence Gregory Wheeler CENTRIA - AI Center, Universidade Nova de Lisboa To appear in The British Journal for the Philosophy of Science. Add to Reading List Source URL: philsci-archive.pitt.edu Language: English - Date: 2012-01-11 07:03:46 Mathematical analysis Probability and statistics Probability interpretations Convex geometry Henry E. Kyburg Jr. Probability space Convex function Random variable Convex combination Mathematics Probability Probability theory
943	This appendix has three purposes: to remind some readers of the definitions of terms they have seen before, to give other readers an idea of what the terms mean, and to list a few theorems for reference. In accordance wi Add to Reading List Source URL: www.rasmusen.org Language: English - Date: 2009-08-27 17:54:35 Functions and mappings Mathematical structures Abstract algebra Concave function Function Normal distribution Convex function Continuous function Net Mathematics Mathematical analysis Convex analysis
944	WHEN IS THE PRODUCT OF TWO CONCAVE FUNCTIONS CONCAVE? By Ezio Marchi Add to Reading List Source URL: ima.umn.edu Language: English - Date: 2011-10-06 10:33:09 Convex analysis Convex function Operator theory Ordinary differential equations Spectral theory Spectral theory of ordinary differential equations Lambda calculus Mathematical analysis Mathematics Algebra
945	Optimization Algorithms in Machine Learning Stephen Wright University of Wisconsin-Madison NIPS Tutorial, 6 Dec 2010 Add to Reading List Source URL: pages.cs.wisc.edu Language: English - Date: 2010-12-08 23:07:50 Operations research XK Convex function Mathematics Convex analysis Mathematical analysis Mathematical optimization
946	Dual Averaging Method for Regularized Stochastic Learning and Online Optimization Lin Xiao Microsoft Research, Redmond, WA[removed]removed] Add to Reading List Source URL: machinelearning.wustl.edu Language: English - Date: 2013-03-25 14:07:10 Stochastic optimization Operations research Convex optimization Quantum field theory Stochastic gradient descent Stochastic approximation Least squares Regularization Subgradient method Mathematical optimization Numerical analysis Mathematical analysis
947	Journal of Machine Learning Research[removed]2596 Submitted 5/09; Revised 3/10; Published[removed]Dual Averaging Methods for Regularized Stochastic Learning and Online Optimization Add to Reading List Source URL: jmlr.org Language: English - Date: 2010-10-04 16:05:00 Convex analysis Stochastic optimization Convex optimization Operations research Subgradient method Stochastic gradient descent R. Tyrrell Rockafellar Stochastic approximation Least squares Mathematical optimization Mathematical analysis Numerical analysis
948	Phase Retrieval via Matrix Completion Emmanuel J. Cand`es∗, Yonina C. Eldar†, Thomas Strohmer‡ and Vladislav Voroninski§ August 2011 arXiv:1109.0573v2 [cs.IT] 20 Sep 2011 Add to Reading List Source URL: arxiv.org Language: English - Date: 2011-09-20 20:49:10 Mathematics Convex analysis Convex optimization Semidefinite programming Quadratically constrained quadratic program Convex function Phase retrieval Diffraction Linear programming Mathematical optimization Operations research Mathematical analysis
949	Noname manuscript No. (will be inserted by the editor) Forecasting electricity consumption by aggregating specialized experts Add to Reading List Source URL: hal.archives-ouvertes.fr Language: English - Date: 2013-12-09 08:14:31 Mathematics Convex function Convex analysis Mathematical analysis Algebra
950	FortMP is a state of the art optimization system designed to solve a wide range of well known optimization problems including: Advantages • Add to Reading List Source URL: www.optirisk-systems.com Language: English - Date: 2008-04-25 11:28:42 Applied mathematics Computer algebra systems Numerical software Convex optimization Linear programming FortMP Quadratic programming Algebraic modeling language AMPL Operations research Mathematical optimization Numerical analysis