Stephen Boyd

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Lieven VandenbergheUCLAVerificeret mail på ucla.edu
Seung-Jean KimVerificeret mail på sjklab.net
Laurent El GhaouiVinUniversityVerificeret mail på vinuni.edu.vn
Michael C. GrantCVX Research, Anaconda (formerly Stanford, CalTech)Verificeret mail på cvxr.com
Neal ParikhColumbia UniversityVerificeret mail på nparikh.org
Lin XiaoMeta AI, FAIR (Fundamental AI Research)Verificeret mail på meta.com
Dimitry GorinevskyConsulting Professor in Electrical Engineering, Stanford UniversityVerificeret mail på stanford.edu
Kwangmoo KohVerificeret mail på alumni.stanford.edu
Almir MutapcicVerificeret mail på alumni.stanford.edu
Jonathan EcksteinDistinguished Professor of Management Science and Information Systems, Rutgers UniversityVerificeret mail på business.rutgers.edu
Borja PeleatoUniversidad Carlos III de MadridVerificeret mail på ing.uc3m.es
Emmanuel CandesThe Simons Chair in Mathematics and Statistics, Stanford UniversityVerificeret mail på stanford.edu
Haitham HindiPrincipal Research Scientist, Amazon.com, USAVerificeret mail på amazon.com
Eric ChuZooxVerificeret mail på cs.stanford.edu
Jacob MattingleyStanford UniversityVerificeret mail på stanford.edu
Miguel Sousa LoboINSEADVerificeret mail på insead.edu
Brendan O'DonoghueStanford University, Google DeepMindVerificeret mail på alumni.stanford.edu
Akshay AgrawalPhD, Stanford UniversityVerificeret mail på cs.stanford.edu
Yinyu YeK.T. Li Professor of Engineering, Stanford UniversityVerificeret mail på stanford.edu
Bartolomeo StellatoPrinceton UniversityVerificeret mail på princeton.edu

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Stephen Boyd

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

Verificeret mail på stanford.edu - Startside

Optimization Control Signal Processing Artificial Intelligence Finance


Titel Sortér efter henvisninger Sortér efter årstal Sortér efter titel	Citeret af Citeret af	År
Convex Optimization S Boyd, L Vandenberghe Cambridge University Press, 2004	78236	2004
Linear matrix inequalities in system and control theory S Boyd, L El Ghaoui, E Feron, V Balakrishnan Philadelphia, USA: SIAM 15, 1994	30083	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	24006	2011
CVX: Matlab software for disciplined convex programming M Grant, S Boyd, Y Ye	15633*	2008
Semidefinite programming L Vandenberghe, S Boyd SIAM review 38 (1), 49-95, 1996	6063	1996
Enhancing Sparsity by Reweighted l1 Minimization EJ Candes, MB Wakin, SP Boyd	5956*	2007
Proximal Algorithms N Parikh, SP Boyd Foundations and Trends in optimization 1 (3), 127-239, 2014	5564	2014
Graph implementations for nonsmooth convex programs MC Grant, SP Boyd Recent advances in learning and control, 95-110, 2008	3681	2008
Fast linear iterations for distributed averaging L Xiao, S Boyd Systems & Control Letters 53 (1), 65-78, 2004	3340	2004
CVXPY: A Python-embedded modeling language for convex optimization S Diamond, S Boyd Journal of Machine Learning Research 17 (83), 1-5, 2016	3048	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	3046	1998
Randomized gossip algorithms S Boyd, A Ghosh, B Prabhakar, D Shah IEEE transactions on information theory 52 (6), 2508-2530, 2006	2905	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	2810*	2007
Linear controller design: limits of performance SP Boyd, CH Barratt Prentice Hall, 1991	2224	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	2126	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	1828	2005
Fast model predictive control using online optimization Y Wang, S Boyd IEEE Transactions on control systems technology 18 (2), 267-278, 2009	1616	2009
A tutorial on geometric programming S Boyd, SJ Kim, L Vandenberghe, A Hassibi Optimization and engineering 8, 67-127, 2007	1524	2007
Subgradient methods S Boyd, L Xiao, A Mutapcic lecture notes of EE392o, Stanford University, Autumn Quarter 2004 (01), 2003	1471	2003
Sensor selection via convex optimization S Joshi, S Boyd IEEE Transactions on Signal Processing 57 (2), 451-462, 2008	1461	2008

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