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Mathematical optimization
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#	Item
531	CS364B: Frontiers in Mechanism Design Lecture #6: Gross Substitutes: Welfare Maximization in Polynomial Time∗ Tim Roughgarden† January 22, 2014 Add to Reading List Source URL: theory.stanford.edu Language: English - Date: 2014-02-04 12:04:28 Convex optimization Linear programming Operations research Mathematical optimization Combinatorial optimization Competitive equilibrium Duality Interior point method Ellipsoid method Weak duality VickreyClarkeGroves auction Polynomial
532	SFBThomas Meissner* ECONOMIC RISK Add to Reading List Source URL: sfb649.wiwi.hu-berlin.de Language: English - Date: 2013-10-21 08:56:59 Consumer behaviour Utility Equations Mathematical optimization Consumption smoothing Intertemporal consumption Risk aversion Dynamic programming Economics Optimal capital income taxation Natural borrowing limit
533	GAMS – Academic Price List – March 15, 2016 This price list includes the required Base Module and a number of optional solvers. The prices shown are for an unrestricted, perpetual named single user license on a speci Add to Reading List Source URL: gams.de Language: English - Date: 2016-07-29 05:00:04 Numerical software Mathematical optimization Computer file formats SCIP Gurobi BARON Linear programming Artelys Knitro Gams MPS NEOS Server MINOS
534	¨ ETH Zurich Computer Science Department Prof. Marc Pollefeys Prof. Luc Van Gool Add to Reading List Source URL: cvg.ethz.ch Language: English - Date: 2015-10-06 15:12:50 Stereophotogrammetry Operations research Fundamental matrix Essential matrix Epipolar geometry Triangulation Eight-point algorithm Matrix Camera matrix Linear programming Reprojection error Mathematical optimization
535	Trading Off Efficiency and Reciprocity in Wireless Peer-To-Peer File Sharing Fernando Paganini Mart´ın Zubeld´ıa Add to Reading List Source URL: fi.ort.edu.uy Language: English Electromagnetism Reciprocity Mathematical optimization Matrices Polynomials
536	CS261: Problem Set #3 Due by 11:59 PM on Tuesday, February 23, 2016 Instructions: (1) Form a group of 1-3 students. You should turn in only one write-up for your entire group. (2) Submission instructions: We are using Gr Add to Reading List Source URL: theory.stanford.edu Language: English - Date: 2016-02-24 10:23:04 Operations research Linear programming Mathematical optimization Convex optimization Algorithm Candidate solution Simplex algorithm Linear programming relaxation
537	Noname manuscript No. (will be inserted by the editor) Multiprocessor Speed Scaling for Jobs with Arbitrary Sizes and Deadlines Paul C. Bell, Prudence W.H. Wong Add to Reading List Source URL: cgi.csc.liv.ac.uk Language: English - Date: 2013-04-09 08:32:08 Scheduling Operations research Combinatorial optimization Mathematical optimization Multiprocessor scheduling NC Multi-core processor Randomized algorithm Algorithm
538	Grothendieck Inequalities, Nonlocal Games and Optimization Jop Briët Grothendieck Inequalities, Add to Reading List Source URL: homepages.cwi.nl Language: English - Date: 2012-08-10 06:15:57 University of Amsterdam Mathematical optimization Inequalities Quantum mechanics Institute for Logic Language and Computation Semidefinite programming Grothendieck inequality Quantum entanglement
539	Combining Constraint Programming, Lagrangian Relaxation and Probabilistic Algorithms to solve the Vehicle Routing Problem Daniel Guimarans1 , Rosa Herrero1 , Daniel Riera2 , Angel A. Juan2 , and Juan Jos´e Ramos1 1 Add to Reading List Source URL: ceur-ws.org Language: English - Date: 2010-05-18 03:15:30 Operations research Mathematical optimization Search algorithms NP-complete problems Combinatorial optimization Variable neighborhood search Vehicle routing problem Travelling salesman problem Heuristic A* search algorithm Lagrangian relaxation Local search
540	kernDeepStackNet: An R package for tuning kernel deep stacking networks Thomas Welchowski 1 Add to Reading List Source URL: www.statistik.tu-dortmund.de Language: English - Date: 2016-06-30 06:36:48 Machine learning Geostatistics Computational neuroscience Deep learning Artificial neural network Kriging Kernel Supervised learning Mathematical optimization

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