Stephen Boyd

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Lieven VandenbergheUCLAEmail verificata su ucla.edu
Seung-Jean KimEmail verificata su sjklab.net
Laurent El GhaouiVinUniversityEmail verificata su vinuni.edu.vn
Michael C. GrantCVX Research, Anaconda (formerly Stanford, CalTech)Email verificata su cvxr.com
Neal ParikhColumbia UniversityEmail verificata su nparikh.org
Lin XiaoMeta AI, FAIR (Fundamental AI Research)Email verificata su meta.com
Dimitry GorinevskyConsulting Professor in Electrical Engineering, Stanford UniversityEmail verificata su stanford.edu
Kwangmoo KohEmail verificata su alumni.stanford.edu
Almir MutapcicEmail verificata su alumni.stanford.edu
Jonathan EcksteinDistinguished Professor of Management Science and Information Systems, Rutgers UniversityEmail verificata su business.rutgers.edu
Borja PeleatoUniversidad Carlos III de MadridEmail verificata su ing.uc3m.es
Emmanuel CandesThe Simons Chair in Mathematics and Statistics, Stanford UniversityEmail verificata su stanford.edu
Haitham HindiPrincipal Research Scientist, Amazon.com, USAEmail verificata su amazon.com
Eric ChuZooxEmail verificata su cs.stanford.edu
Jacob MattingleyStanford UniversityEmail verificata su stanford.edu
Miguel Sousa LoboINSEADEmail verificata su insead.edu
Brendan O'DonoghueStanford University, Google DeepMindEmail verificata su alumni.stanford.edu
Akshay AgrawalPhD, Stanford UniversityEmail verificata su cs.stanford.edu
Yinyu YeProfessor of Emeritus, Stanford UniversityEmail verificata su stanford.edu
Bartolomeo StellatoPrinceton UniversityEmail verificata su princeton.edu

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Stephen Boyd

Professor of Electrical Engineering, Computer Science, and Management Science, Stanford

Email verificata su stanford.edu - Home page

Optimization Control Signal Processing Artificial Intelligence Finance


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
Convex Optimization S Boyd, L Vandenberghe Cambridge University Press, 2004	78831	2004
Linear matrix inequalities in system and control theory S Boyd, L El Ghaoui, E Feron, V Balakrishnan Philadelphia, USA: SIAM 15, 1994	30219	1994
Distributed optimization and statistical learning via the alternating direction method of multipliers S Boyd, N Parikh, E Chu, B Peleato, J Eckstein Now Publishers Inc 3, 1-122, 2011	24265	2011
CVX: Matlab software for disciplined convex programming M Grant, S Boyd, Y Ye	15761*	2008
Semidefinite programming L Vandenberghe, S Boyd SIAM review 38 (1), 49-95, 1996	6083	1996
Enhancing Sparsity by Reweighted l1 Minimization EJ Candes, MB Wakin, SP Boyd	5986*	2007
Proximal Algorithms N Parikh, SP Boyd Foundations and Trends in optimization 1 (3), 127-239, 2014	5625	2014
Graph implementations for nonsmooth convex programs MC Grant, SP Boyd Recent advances in learning and control, 95-110, 2008	3708	2008
Fast linear iterations for distributed averaging L Xiao, S Boyd Systems & Control Letters 53 (1), 65-78, 2004	3358	2004
CVXPY: A Python-embedded modeling language for convex optimization S Diamond, S Boyd Journal of Machine Learning Research 17 (83), 1-5, 2016	3107	2016
Applications of second-order cone programming MS Lobo, L Vandenberghe, S Boyd, H Lebret Linear algebra and its applications 284 (1-3), 193-228, 1998	3055	1998
Randomized gossip algorithms S Boyd, A Ghosh, B Prabhakar, D Shah IEEE transactions on information theory 52 (6), 2508-2530, 2006	2926	2006
An Interior-Point Method for Large-Scale l1-Regularized Least Squares SJ Kim, K Koh, M Lustig, S Boyd, D Gorinevsky Selected Topics in Signal Processing, IEEE Journal of 1 (4), 606-617, 2007	2825*	2007
Linear controller design: limits of performance SP Boyd, CH Barratt Prentice Hall, 1991	2229	1991
Simple accurate expressions for planar spiral inductances SS Mohan, M del Mar Hershenson, SP Boyd, TH Lee IEEE Journal of solid-state circuits 34 (10), 1419-1424, 1999	2138	1999
A scheme for robust distributed sensor fusion based on average consensus L Xiao, S Boyd, S Lall IPSN 2005. Fourth International Symposium on Information Processing in …, 2005	1836	2005
Fast model predictive control using online optimization Y Wang, S Boyd IEEE Transactions on control systems technology 18 (2), 267-278, 2009	1632	2009
A tutorial on geometric programming S Boyd, SJ Kim, L Vandenberghe, A Hassibi Optimization and engineering 8, 67-127, 2007	1531	2007
Subgradient methods S Boyd, L Xiao, A Mutapcic lecture notes of EE392o, Stanford University, Autumn Quarter 2004 (01), 2003	1483	2003
Sensor selection via convex optimization S Joshi, S Boyd IEEE Transactions on Signal Processing 57 (2), 451-462, 2008	1478	2008

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