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Linear programming
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#	Item
171	Sensor Localization with Deterministic Accuracy Guarantee Ryo Sugihara Rajesh K. Gupta Add to Reading List Source URL: mesl.ucsd.edu Language: English - Date: 2011-04-30 19:20:57 Operations research Linear programming Mathematical optimization Real algebraic geometry Semidefinite programming Routing algorithms
172	CS261: A Second Course in Algorithms Lecture #9: Linear Programming Duality (Part 2)∗ Tim Roughgarden† February 2, Add to Reading List Source URL: theory.stanford.edu Language: English - Date: 2016-02-16 22:56:26 Mathematical optimization Convex optimization Linear programming Operations research Duality Weak duality Strong duality Constraint Duality gap Semidefinite programming
173	Julia A Fast Dynamic Language for Technical Computing Created by: Jeff Bezanson, Stefan Karpinski, Viral B. Shah & Alan Edelman A Fractured Community Technical work gets done in many different languages Add to Reading List Source URL: julialang.org Language: English - Date: 2016-08-17 04:50:21 Array programming languages High-level programming languages Object-oriented programming languages Parallel computing Numerical linear algebra MATLAB Julia Array programming Fortran Dynamic programming language Perl LLVM
174	An Online Cost Sensitive Decision-Making Method in Crowdsourcing Systems Jinyang Gao† , Xuan Liu† , Beng Chin Ooi† , Haixun Wang§ , Gang Chen‡ †School of Computing, National University of Singapore, Singapore Add to Reading List Source URL: www.comp.nus.edu.sg Language: English - Date: 2013-05-14 08:28:08 Operations research Convex optimization Linear programming Algorithm Autoregressive model Expected value
175	Arrowsmith blog » Blog Archive » Pilgrimage to see Cleve Moler, inventor of MATLAB Add to Reading List Source URL: activetectonics.asu.edu Language: English - Date: 2011-07-03 10:56:11 Mathematical software Parallel computing Array programming languages Econometrics software Linear algebra MATLAB MathWorks Cleve Moler Moler Cleve Shuttle Radar Topography Mission
176	Cutting Planes and the Parameter Cutwidth Stefan Dantchev1 and Barnaby Martin2 1 Department of Computer Science, University of Durham, Science Labs, South Road, Durham DH1 3LE, U.K. Add to Reading List Source URL: www.bedewell.com Language: English - Date: 2009-11-10 10:55:56 Automated theorem proving Resolution Linear programming IP Inequality
177	Microsoft Word - FE & Emis Opt - IEEE Journaldoc Add to Reading List Source URL: web.eecs.umich.edu Language: English - Date: 2016-04-25 13:15:15 Mathematical optimization Operations research Convex optimization Stochastic optimization Stochastic programming Control theory Duality Constraint Work Optimal control Linear programming Relaxation
178	Metric Clustering via Consistent Labeling Add to Reading List Source URL: theory.stanford.edu Language: English - Date: 2010-09-28 14:30:42 Combinatorial optimization Operations research NP-complete problems Approximation algorithms Computational problems Linear programming Minimum k-cut Optimization problem Ear decomposition Decomposition method
179	Geometric Optimization Equinoctial School on Geometric Computing ETH Zurich, 15. { 26. SeptemberBernd Gartner Add to Reading List Source URL: people.inf.ethz.ch Language: English - Date: 2016-06-20 11:55:09 Mathematical optimization Operations research Linear programming Convex optimization Combinatorial optimization Simplex algorithm Feasible region Simplex Polytope Quadratic programming Constraint Bounding sphere
180	A DIRECT FORMULATION FOR SPARSE PCA USING SEMIDEFINITE PROGRAMMING∗ ALEXANDRE D’ASPREMONT† , LAURENT EL GHAOUI‡ , MICHAEL I. JORDAN§ , AND GERT R. G. LANCKRIET¶ Abstract. Given a covariance matrix, we consider Add to Reading List Source URL: eceweb.ucsd.edu Language: English - Date: 2015-07-31 19:00:26 Mathematical optimization Matrix theory Multivariate statistics Linear programming Operations research Sparse PCA Semidefinite programming Principal component analysis Convex optimization Eigenvalues and eigenvectors Matrix Singular value decomposition

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