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Convex optimization
Results: 1096

#	Item
931	An Efficiently Solvable Quadratic Program for Stabilizing Dynamic Locomotion Scott Kuindersma, Frank Permenter, and Russ Tedrake Abstract— We describe a whole-body dynamic walking controller implemented as a convex qua Add to Reading List Source URL: groups.csail.mit.edu Language: English - Date: 2014-02-25 14:58:51 Control theory Quadratic programming Optimal control Model predictive control Convex optimization Humanoid robot Active set Trajectory optimization Zero moment point Mathematical optimization Systems theory Mathematical analysis
932	Transport Research Arena 2014, Paris Electric vehicle charging stations allocation models Fouad Baouchea,, Romain Billota,b, Nour-Eddin EL Faouzi a,b Rochdi Trigui c a Add to Reading List Source URL: www.traconference.eu Language: English* - Date: 2014-06-17 13:19:56 Transportation planning Charging station Mathematics Applied mathematics Mathematical sciences Route assignment Trip distribution Operations research Convex optimization Linear programming
933	Computing Large Convex Regions of Obstacle-Free Space through Semidefinite Programming Robin Deits and Russ Tedrake MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, MA {rdeits,russt}@csail.mit.edu Add to Reading List Source URL: groups.csail.mit.edu Language: English - Date: 2014-07-16 14:58:52 Convex analysis Operations research Computational geometry Mathematical optimization Discrete geometry Convex optimization Convex hull Linear programming Voronoi diagram Mathematics Geometry Algebra
934	Convex Optimization of Nonlinear Feedback Controllers via Occupation Measures Anirudha Majumdar, Ram Vasudevan, Mark M. Tobenkin, and Russ Tedrake Computer Science and Artificial Intelligence Lab Massachusetts Institute Add to Reading List Source URL: groups.csail.mit.edu Language: English - Date: 2014-02-17 23:50:32 Mathematical optimization Generalized functions Operator theory Spectral theory Optimal control Dynamical system Semidefinite programming Vector space State space Mathematical analysis Mathematics Algebra
935	A Benders approach for the constrained minimum break problem Rasmus V. Rasmussen1 and Michael A. Trick2 1 Department of Operations Research, University of Aarhus, Ny Munkegade, Add to Reading List Source URL: mat.gsia.cmu.edu Language: English - Date: 2005-12-05 14:03:17 Computer programming Mathematical optimization Convex optimization Linear programming Applied mathematics Constraint Pattern Operations research Constraint programming Software engineering
936	Formulations and Reformulations in Integer Programming Michael Trick Tepper School of Business, Carnegie Mellon, Pittsburgh, PA USA, [removed]removed]? Add to Reading List Source URL: mat.gsia.cmu.edu Language: English - Date: 2010-07-13 14:53:47 Constraint programming Applied mathematics Mathematics Linear programming Duality Relaxation Local consistency Mathematical optimization Operations research Convex optimization
937	MATTHIAS GERDTS LINEAR PROGRAMMING MSM 2Da (G05a,M09a) Address of the Author: Add to Reading List Source URL: www.unibw.de Language: English - Date: 2013-09-30 11:30:30 Operations research Convex optimization Topology Linear programming Duality Nonlinear programming Simplex algorithm Simplex Vector space Mathematics Mathematical optimization Algebra
938	Large-margin Structured Learning for Link Ranking Stephen H. Bach Bert Huang Lise Getoor Department of Computer Science University of Maryland College Park, MD 20742 Add to Reading List Source URL: snap.stanford.edu Language: English - Date: 2013-11-15 20:54:44 Operations research Convex optimization Machine learning Convex analysis Perceptron Subgradient method Loss function Receiver operating characteristic Function Statistics Mathematics Mathematical optimization
939	Convex Programming for The New Palgrave Dictionary of Economics, 2nd ed. Lawrence E. Blume Headwords: CONVEXITY, DUALITY, L AGRANGE MULTIPLIERS, QUASI - CONCAVITY Add to Reading List Source URL: tuvalu.santafe.edu Language: English - Date: 2007-06-11 09:38:27 Mathematics Convex optimization Operations research Transforms Convex function Quasiconvex function Duality Subderivative Vector space Mathematical optimization Mathematical analysis Convex analysis
940	Projective methods for constraint satisfaction and global optimization Arnold Neumaier, Ferenc Domes, Hermann Schichl, Mihaly Markot (University of Vienna, Austria) Add to Reading List Source URL: www.mat.univie.ac.at Language: English - Date: 2012-08-23 13:44:55 Local consistency Constraint satisfaction Convex optimization Applied mathematics Mathematical sciences Operations research Constraint programming Mathematical optimization

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