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Quadratic programming
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#	Item
91	SVM Soft Margin Classifiers: Linear Programming versus Quadratic Programming Qiang Wu [removed] Ding-Xuan Zhou Add to Reading List Source URL: www6.cityu.edu.hk Language: English - Date: 2012-09-11 23:37:55 Hinge loss Quadratic programming Regression analysis Least squares support vector machine Stability Statistics Statistical classification Support vector machines
92	Struct Multidisc Optim[removed]:93–109 DOI[removed]s00158[removed]RESEARCH PAPER Constrained multifidelity optimization using model calibration Add to Reading List Source URL: raphael.mit.edu Language: English - Date: 2013-06-19 14:19:05 Mathematics Penalty method Constraint optimization Shape optimization Global optimization Lagrange multiplier Constraint Quadratic programming Sequential quadratic programming Mathematical optimization Numerical analysis Mathematical analysis
93	Practical session : Linear SVM for two class separable data Stéphane Canu [removed], asi.insa-rouen.fr\~scanu september the 9th 2014, Ocean’s Big Data Mining, Brest Add to Reading List Source URL: oceandatamining.sciencesconf.org Language: English - Date: 2014-09-09 02:19:28 Numerical analysis Support vector machine Quadratic programming MATLAB Duality Karush–Kuhn–Tucker conditions Mathematical optimization Statistics Software
94	Heuristics for cardinality constrained portfolio optimisation T.-J. Chang1 N. Meade1 J.E. Beasley1 Y.M. Sharaiha2 Add to Reading List Source URL: aiinfinance.com Language: English - Date: 2012-06-26 15:05:28 Mathematical finance Investment Efficient frontier Mathematical optimization Quadratic programming Normal distribution Mutual fund separation theorem Modern portfolio theory Financial economics Economics Finance
95	American Control Conference, June 30-July 02, 2010, Baltimore, MD Linear and quadratic programming formulations of data assimilation or data reconciliation problems for a class of Hamilton-Jacobi equations Christian G. Add to Reading List Source URL: bayen.eecs.berkeley.edu Language: English - Date: 2015-01-21 14:55:55 Convex analysis Operations research Convex optimization Functions and mappings Convex function Lipschitz continuity Calculus of variations Linear programming Function Mathematics Mathematical analysis Mathematical optimization
96	Semi-Supervised Support Vector Machines Kristin P. Bennett∗ Department of Mathematical Sciences Rensselaer Polytechnic Institute Troy, NY[removed]removed] Add to Reading List Source URL: www1.cs.columbia.edu Language: English - Date: 2003-01-15 10:44:57 Mathematics Support vector machine Supervised learning Structural risk minimization Transduction Cross-validation Mathematical optimization Vector space Quadratic programming Statistics Algebra Machine learning
97	Chapter 1 Quadratic Basis Pursuit Henrik Ohlsson Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, CA, USA Allen Y. Yang Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2014-02-01 12:57:29 Operations research Linear algebra Real algebraic geometry Matrix theory Convex optimization Eigenvalues and eigenvectors Linear programming Quadratic form Basis pursuit Algebra Mathematics Mathematical optimization
98	Journal of Artificial Intelligence Research[removed] Submitted 10/07; published[removed]Graphical Model Inference in Optimal Control of Stochastic Multi-Agent Systems Add to Reading List Source URL: www.jair.org Language: English - Date: 2008-05-16 12:07:44 Stochastic control Optimal control Dynamic programming Mathematical optimization Linear-quadratic-Gaussian control Path integral formulation Normal distribution Hamilton–Jacobi–Bellman equation Markov decision process Control theory Statistics Mathematics
99	The Simplex Method for Quadratic Programming Author(s): Philip Wolfe Source: Econometrica, Vol. 27, No. 3, (Jul., 1959), pp[removed]Published by: The Econometric Society Stable URL: http://www.jstor.org/stable[removed]A Add to Reading List Source URL: pages.cs.wisc.edu Language: English - Date: 2010-02-23 12:08:45 Operations research Linear algebra Real algebraic geometry Polynomials Quadratic programming Quadratic form Linear programming Simplex algorithm Convex optimization Mathematical optimization Mathematics Algebra
100	Computable representations for convex hulls of low-dimensional quadratic forms Kurt M. Anstreicher and Samuel Burer Dept. of Management Sciences University of Iowa February 6, 2007 Add to Reading List Source URL: www.optimization-online.org Language: English - Date: 2007-02-07 17:22:23 Operations research Convex analysis Real algebraic geometry Convex optimization Quadratically constrained quadratic program Semidefinite programming Quadratic programming Convex function Linear programming Mathematical optimization Mathematics Mathematical analysis

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