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Quadratic programming
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#	Item
81	tsnnls: A solver for large sparse least squares problems with non-negative variables Jason Cantarella∗ Department of Mathematics, University of Georgia, Athens, GA[removed]Michael Piatek† Add to Reading List Source URL: www.michaelpiatek.com Language: English Numerical linear algebra Mathematical optimization Operations research Regression analysis Least squares Linear programming Quadratic programming Cholesky decomposition Sparse matrix Mathematics Algebra Numerical analysis
82	Linear optimization: Theory, methods, and extensions Erling D. Andersen 1 January 13, [removed]Department Add to Reading List Source URL: plato.asu.edu Language: English - Date: 2007-08-06 18:13:52 Convex optimization Mathematical analysis Linear programming Duality Optimization problem Expected value Function Semidefinite programming Quadratic programming Mathematical optimization Mathematics Operations research
83	CqBoost : A Column Generation Method for Minimizing the C-Bound Franc¸ois Laviolette, Mario Marchand, Jean-Francis Roy D´epartement d’informatique et de g´enie logiciel, Universit´e Laval Qu´ebec (QC), Canada Add to Reading List Source URL: www.opt-ml.org Language: English - Date: 2014-12-10 11:28:25 Mathematics Machine learning LPBoost Support vector machine Classification rule Boosting Quasigroup Quadratic programming Linear programming Statistics Statistical classification Ensemble learning
84	Computing in Operations Research using Julia Miles Lubin, Iain Dunning MIT Operations Research Center, 77 Massachusetts Avenue, Cambridge, MA USA [removed], [removed] The state of numerical computing is curr Add to Reading List Source URL: www.mit.edu Language: English - Date: 2013-07-30 16:58:14 Numerical analysis AMPL Linear programming Quadratic programming Algebraic modeling language Modeling language COIN-OR MATLAB Nl Operations research Mathematical optimization Computing
85	Question 1. Write a program which solves a quadratic equation of the form ax 2 + bx + c = 0 (the equation giving x as a function of a, b, and c is in the data book). Your program should include a function findx which sho Add to Reading List Source URL: www.le.ac.uk Language: English - Date: 2002-01-11 11:52:01 C programming language C++ Elementary algebra Equations Quadratic equation Data file Struct Quadratic ALGOL 68 Computing Programming language theory Software engineering
86	(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
87	profresume_no_reflist.dvi Add to Reading List Source URL: www.cs.cornell.edu Language: English - Date: 2005-08-26 00:56:13 Operations research Mathematical optimization Computational science Numerical linear algebra Iterative methods Society for Industrial and Applied Mathematics Preconditioner Linear programming Quadratic programming Mathematics Numerical analysis Applied mathematics
88	Mathematical Programming manuscript No. (will be inserted by the editor) Pablo A. Parrilo Semidefinite programming relaxations for semialgebraic Add to Reading List Source URL: cba.mit.edu Language: English - Date: 2011-12-13 18:50:13 Mathematical optimization Polynomials Operations research Real algebraic geometry Semidefinite programming Positive-definite matrix Convex optimization Quadratic programming Eigenvalues and eigenvectors Algebra Mathematics Abstract algebra
89	Multidisciplinary Optimization of the Blended-Wing-Body Add to Reading List Source URL: raphael.mit.edu Language: English - Date: 2005-08-31 10:35:15 Mathematical analysis Fixed-wing aircraft BFGS method Optimization problem Quadratic programming Trajectory optimization Linear programming relaxation Mathematical optimization Multidisciplinary design optimization Mathematics
90	Fall 2003 BMI[removed]CS 426 Notes H- 1 REVIEW OF PROBLEMS IN GENETIC PROGRAMMING[removed]BOOK Fall 2003 BMI[removed]CS 426 Notes H- 2 Add to Reading List Source URL: www.genetic-programming.com Language: English - Date: 2006-11-17 21:12:17 Cellular automaton Differential equation Functional equation Regression analysis Quadratic equation Genetic programming Mathematics Statistics Equations

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