Stephen Boyd

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Lieven VandenbergheUCLA在 ucla.edu 的電子郵件地址已通過驗證
Seung-Jean Kim在 sjklab.net 的電子郵件地址已通過驗證
Laurent El GhaouiVinUniversity在 vinuni.edu.vn 的電子郵件地址已通過驗證
Michael C. GrantCVX Research, Anaconda (formerly Stanford, CalTech)在 cvxr.com 的電子郵件地址已通過驗證
Neal ParikhColumbia University在 nparikh.org 的電子郵件地址已通過驗證
Lin XiaoMeta AI, FAIR (Fundamental AI Research)在 meta.com 的電子郵件地址已通過驗證
Dimitry GorinevskyConsulting Professor in Electrical Engineering, Stanford University在 stanford.edu 的電子郵件地址已通過驗證
Jonathan EcksteinDistinguished Professor of Management Science and Information Systems, Rutgers University在 business.rutgers.edu 的電子郵件地址已通過驗證
Borja PeleatoUniversidad Carlos III de Madrid在 ing.uc3m.es 的電子郵件地址已通過驗證
Kwangmoo Koh在 alumni.stanford.edu 的電子郵件地址已通過驗證
Almir Mutapcic在 alumni.stanford.edu 的電子郵件地址已通過驗證
Haitham HindiPrincipal Research Scientist, Amazon.com, USA在 amazon.com 的電子郵件地址已通過驗證
Emmanuel CandesThe Simons Chair in Mathematics and Statistics, Stanford University在 stanford.edu 的電子郵件地址已通過驗證
Jacob MattingleyStanford University在 stanford.edu 的電子郵件地址已通過驗證
Miguel Sousa LoboINSEAD在 insead.edu 的電子郵件地址已通過驗證
Eric ChuZoox在 cs.stanford.edu 的電子郵件地址已通過驗證
Akshay AgrawalPhD, Stanford University在 cs.stanford.edu 的電子郵件地址已通過驗證
Brendan O'DonoghueStanford University, Google DeepMind在 alumni.stanford.edu 的電子郵件地址已通過驗證
Yinyu YeProfessor of Emeritus, Stanford University在 stanford.edu 的電子郵件地址已通過驗證
Bartolomeo StellatoPrinceton University在 princeton.edu 的電子郵件地址已通過驗證

追蹤

Stephen Boyd

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

在 stanford.edu 的電子郵件地址已通過驗證 - 首頁

Optimization Control Signal Processing Artificial Intelligence Finance


標題按引用次數排序按年份排序按標題排序	引用次數引用次數	年份
Convex Optimization S Boyd, L Vandenberghe Cambridge University Press, 2004	80103	2004
Linear matrix inequalities in system and control theory S Boyd, L El Ghaoui, E Feron, V Balakrishnan Philadelphia, USA: SIAM 15, 1994	30167	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	24650	2011
CVX: Matlab software for disciplined convex programming M Grant, S Boyd, Y Ye	16053	2008
Semidefinite programming L Vandenberghe, S Boyd SIAM review 38 (1), 49-95, 1996	6111	1996
Enhancing Sparsity by Reweighted l1 Minimization EJ Candes, MB Wakin, SP Boyd	6040*	2007
Proximal Algorithms N Parikh, SP Boyd Foundations and Trends in optimization 1 (3), 127-239, 2014	5702	2014
Graph implementations for nonsmooth convex programs MC Grant, SP Boyd Recent advances in learning and control, 95-110, 2008	3745	2008
Fast linear iterations for distributed averaging L Xiao, S Boyd Systems & Control Letters 53 (1), 65-78, 2004	3391	2004
CVXPY: A Python-embedded modeling language for convex optimization S Diamond, S Boyd Journal of Machine Learning Research 17 (83), 1-5, 2016	3238	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	3068	1998
Randomized gossip algorithms S Boyd, A Ghosh, B Prabhakar, D Shah IEEE transactions on information theory 52 (6), 2508-2530, 2006	2940	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	2832*	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	2161	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	1835	2005
Fast model predictive control using online optimization Y Wang, S Boyd IEEE Transactions on control systems technology 18 (2), 267-278, 2009	1640	2009
A tutorial on geometric programming S Boyd, SJ Kim, L Vandenberghe, A Hassibi Optimization and engineering 8, 67-127, 2007	1552	2007
Subgradient methods S Boyd, L Xiao, A Mutapcic lecture notes of EE392o, Stanford University, Autumn Quarter 2004 (01), 2003	1495	2003
Sensor selection via convex optimization S Joshi, S Boyd IEEE Transactions on Signal Processing 57 (2), 451-462, 2008	1480	2008

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