史提芬·博伊德

史提芬·博伊德（Stephen Boyd），史丹福大學Samsung工程講席教授和信息系統實驗室電氣工程教授，香港中文大學（深圳）理工學院教授，國家千人計畫專家（短期項目，香港中文大學（深圳））。史提芬教授是中國工程院外籍院士，美國工程院院士，IEEE Fellow。他的主要研究領域為凸最佳化和控制系統工程，發表了350多篇論文，被引用數（谷歌學術）超過11萬次，H指數為100。

基本介紹

• 中文名：史提芬•博伊德
• 外文名：Stephen Boyd
• 國籍：美國
• 出生日期：1958.02

人物介紹

Stephen P. Boyd是美國史丹福大學的Samsung工程教授和信息系統實驗室電氣工程教授。他也是管理科學與工程系的兼職教授以及計算數學工程研究院成員。他目前的研究領域是在控制、信號處理和電路設計中的凸最佳化套用以及金融。

Boyd教授於1980年以最高榮譽在哈佛大學取得數學學士學位，1985年從加州大學伯克利分校獲得電氣工程與計算機科學博士學位，於同年加入到史丹福大學的電氣工程系。他在世界各國大學中擔任過訪問學者，例如魯汶大學（魯汶），麥吉爾大學（蒙特婁），瑞士聯邦理工學院（洛桑），清華大學（北京），保爾·薩巴梯埃－土魯斯第三大學（土魯斯），瑞典皇家理工學院（斯德哥爾摩），京都大學，哈爾濱工業大學，紐約大學和麻省理工大學。此外，他還擁有一個瑞典皇家理工學院頒發的榮譽博士學位。

Boyd教授發表了許多研究論文和撰寫了三本書籍。他的課題組開發了數個開放源工具，包括和Michael Grant共同研發並已廣泛使用的凸最佳化解析求解器。他在控制系統工程和最佳化領域的研究獲得了多個獎項和榮譽，包括ONR青年研究獎，總統青年研究獎，以及每年授予控制工程領域35歲以下最傑出研究者的AACC Donald P. Eckman獎。2013年，他獲得了IEEE控制系統工程獎，以表彰其在控制系統工程、科學和技術中的突出貢獻。他和Michael Grant於2012年被共同授予數學最佳化學會Beale-Orchard-Hays Award，該獎項每三年頒發一次給計算數學規劃的傑出人才。他是IEEE Fellow, IEEE控制系統學會傑出講師以及美國國家工程學院院士。他在控制、最佳化和機器學習各大主要會議上發表了60多篇大會和主題報告。

他開發和教授了許多本科和研究生課程，包括信號與系統，線性動力系統，凸最佳化和最近的矩陣方法本科課程。他的畢業凸凸最佳化課程吸引了來自25個部門的300名學生。 1991年，他獲得了阿蘇研究生教學獎，1994年獲得工程學院優秀本科教學獎。 2003年，他獲得了AACC Ragazzini教育獎，為控制教育作出貢獻，引用：“在課堂教學，教科書和專著準備方面的卓越，以及系統，控制和最佳化領域學生的本科和研究生指導。 “2016年，他獲得了史丹福大學授予的最高獎學金Walter J. Gores獎，並以（摘錄）引用”革新數學最佳化在世界範圍內在工程學和社會科學與自然科學方面的教學和套用;為了表現數學高級課程的輝煌，清晰度和幽默感，他們使許多領域的學生可以訪問和感興趣。“在2017年，他獲得了IEEE James M. Mulligan教授獎章，獲得了傑出貢獻IEEE的興趣領域的教育，引用“為學生和研究人員進行理論與套用的最佳化教育”。

他的網站會提供過去的論文，書籍，軟體，講義和選定的講座視頻，每年訪問超過160萬次，這其中還不包括Byod開發和授課的一些iTunes U，YouTube，史丹福大學工程，麻省理工學院開放課程和 斯坦福線上/ edX的訪問量。

在史丹福大學，他曾擔任信息系統實驗室主任，大學圖書館委員會主席，David Packard EE建築規劃設計委員會主席，以及（大學）諮詢委員會成員。

2015年起，Boyd教授擔任香港中文大學（深圳）理工學院教授，講授Selected Topic in CIE – Stochastic Control課程。Boyd教授亦深入參與香港中文大學（深圳）深圳大數據研究院的研究工作。

學術論文

2017

• OSQP: An operator splitting solver for quadratic programs
  
• B. Stellato, G. Banjac, P. Goulart, A. Bemporad, and S. Boyd
  
• CVXR: An R Package for disciplined convex optimization
  
• A. Fu, B. Narasimhan, and S. Boyd
  
• Embedded code generation using the OSQP solver
  
• G. Banjac, B. Stellato, N. Moehle, P. Goulart, A. Bemporad and S. Boyd
  
• A rewriting system for convex optimization problems
  
• A. Agrawal, R. Verschueren, S. Diamond, and S. Boyd
  
• Toeplitz inverse covariance-based clustering of multivariate time series data
  
• D. Hallac, S. Vare, S. Boyd, and J. Leskovec
  
• Network inference via the time-varying graphical lasso
  
• D. Hallac, Y. Park, S. Boyd, and J. Leskovec
  
• A convex optimization approach to radiation treatment planning with dose constraints
  
• A. Fu, B. Ungun, L. Xing, and S. Boyd
  
• Dynamic resource allocation for energy efficient transmission in digital subscriber lines
  
• N. Zhang, Z. Yao, Y. Liu, S. Boyd, and Z.-Q. Luo
  
• Dynamic energy management with scenario-based robust MPC
  
• M. Wytock, N. Moehle, and S. Boyd
  
• A distributed method for optimal capacity reservation
  
• N. Moehle, X. Shen, Z.-Q. Luo, and S. Boyd
  
• Multi-period trading via convex optimization
  
• S. Boyd, E. Busseti, S. Diamond, R. Kahn, K. Koh, P. Nystrup, and J. Speth
  
• A simple effective heuristic for embedded mixed-integer quadratic programming
  
• R. Takapoui, N. Moehle, S. Boyd, and A. Bemporad
  
• General heuristics for nonconvex quadratically constrained quadratic programming
  
• J. Park and S. Boyd
  
• Parameter selection and pre-conditioning for a graph form solver
  
• C. Fougner and S. Boyd
  
• A semidefinite programming method for integer convex quadratic minimization
  
• J. Park and S. Boyd
  
• Learning the network structure of heterogeneous data via pairwise exponential Markov random fields
  
• Y. Park, D. Hallac, S. Boyd, and J. Leskovec
  
• A general system for heuristic solution of convex problems over nonconvex sets
  
• S. Diamond, R. Takapoui, and S. Boyd
  
• Value function approximation for direct control of switched power converters
  
• N. Moehle and S. Boyd
  
• Stochastic matrix-free equilibration
  
• S. Diamond and S. Boyd
  
• Linear convergence and metric selection in Douglas-Rachford splitting and ADMM
  
• P. Giselsson and S. Boyd
  
• SnapVX: A network-based convex optimization solver
  
• D. Hallac, C. Wong, S. Diamond, A. Sharang, R. Sosic, S. Boyd, and J. Leskovec.
  
• Real time radiation treatment planning with optimality guarantees via cluster and bound methods
  
• B. Ungun, L. Xing, and S. Boyd
  

2016

• Maximum torque-per-current waveform design for induction motors via semidefinite programming
  
• N. Moehle and S. Boyd
  
• Antagonistic control
  
• T. Lipp and S. Boyd
  
• Optimization of rotational arc station parameter optimized radiation therapy
  
• P. Dong, B. Ungun, S. Boyd, and L. Xing
  
• A new architecture for optimization modeling frameworks
  
• M. Wytock, S. Diamond, F. Heide, and S. Boyd
  
• Linear programming heuristics for the graph isomorphism problem
  
• R. Takapoui and S. Boyd
  
• Greedy Gaussian segmentation of multivariate time series
  
• D. Hallac, P. Nystrup, and S. Boyd
  
• Matrix-free convex optimization modeling
  
• S. Diamond and S. Boyd
  
• A differential equation for modeling Nesterov’s accelerated gradient method
  
• W. Su, S. Boyd, and E. Candes
  
• Concave quadratic cuts for mixed-integer quadratic problems
  
• J. Park and S. Boyd
  
• Disciplined multi-convex programming
  
• X. Shen, S. Diamond, M. Udell, Y. Gu, and S. Boyd
  
• Generalized low rank models
  
• M. Udell, C. Horn, R. Zadeh, and S. Boyd
  
• Line search for averaged operator iteration
  
• P. Giselsson, M. Fält, and S. Boyd
  
• Variations and extensions of the convex-concave procedure
  
• T. Lipp and S. Boyd
  
• Disciplined convex-concave programming
  
• X. Shen, S. Diamond, Y. Gu, and S. Boyd
  
• Risk-constrained Kelly gambling
  
• E. Busseti, E. Ryu, and S. Boyd
  
• Conic optimization via operator splitting and homogeneous self-dual embedding
  
• B. O'Donoghue, E. Chu, N. Parikh, and S. Boyd
  
• Bounding duality gap for problems with separable objective
  
• M. Udell and S. Boyd
  
• Optimal current waveforms for switched reluctance motors
  
• N. Moehle and S. Boyd
  
• CVXPY: A python-embedded modeling language for convex optimization
  
• S. Diamond and S. Boyd
  
• A primer on monotone operator methods
  
• E. Ryu and S. Boyd
  
• MIMO PID tuning via iterated LMI restriction
  
• S. Boyd, M. Hast, and K. J. Astrom
  

2015

• Metric selection in fast dual forward backward splitting
  
• P. Giselsson and S. Boyd
  
• Model predictive control for wind power gradients
  
• T. Hovgaard, S. Boyd, and J. Jørgensen
  
• A perspective-based convex relaxation for switched-affine optimal control
  
• N. Moehle and S. Boyd
  
• Volume weighted average price optimal execution
  
• E. Busseti and S. Boyd
  
• Extensions of Gauss quadrature via linear programming
  
• E. Ryu and S. Boyd
  
• Optimal current waveforms for brushless permanent magnet motors
  
• N. Moehle and S. Boyd
  
• Disciplined convex stochastic programming: A new framework for stochastic optimization
  
• A. Ali, Z. Kolter, S. Diamond, and S. Boyd
  
• Convex optimization short course
  
• S. Boyd, S. Diamond, and J. Park
  
• Linear models based on noisy data and the Frisch scheme
  
• L. Ning, T. Georgiou, A. Tannenbaum, and S. Boyd
  
• Network lasso: Clustering and optimization in large graphs
  
• D. Hallac, J. Leskovec, and S. Boyd
  
• Russell Severance Springer lectures
  
• S. Boyd
  
• Approximate dynamic programming via iterated Bellman inequalities
  
• Y. Wang, B. O'Donoghue, and S. Boyd
  

2014

• Adaptive importance sampling via stochastic convex programming
  
• E. Ryu and S. Boyd
  
• Convex optimization in Julia
  
• M. Udell, K. Mohan, D. Zeng, J. Hong, S. Diamond, and S. Boyd
  
• Diagonal scaling in Douglas-Rachford splitting and ADMM
  
• P. Giselsson and S. Boyd
  
• Preconditioning in fast dual gradient methods
  
• P. Giselsson and S. Boyd
  
• Monotonicity and restart in fast gradient methods
  
• P. Giselsson and S. Boyd
  
• Optimal crowd-powered rating and filtering algorithms
  
• A. Parameswaran, S. Boyd, H. Garcia-Molina, A. Gupta, N. Polyzotis, and J. Widom
  
• IEEE control systems award acceptance speech
  
• S. Boyd
  
• Security constrained optimal power flow via proximal message passing
  
• S. Chakrabarti, M. Kraning, E. Chu, R. Baldick, and S. Boyd
  
• Block splitting for distributed optimization
  
• N. Parikh and S. Boyd
  
• Quadratic approximate dynamic programming for input-affine systems
  
• A. Keshavarz and S. Boyd
  
• Minimum-time speed optimization over a fixed path
  
• T. Lipp and S. Boyd
  
• Proximal algorithms
  
• N. Parikh and S. Boyd
  
• Performance bounds and suboptimal policies for multi-period investment
  
• S. Boyd, M. Mueller, B. O'Donoghue, and Y. Wang
  
• Dynamic network energy management via proximal message passing
  
• M. Kraning, E. Chu, J. Lavaei, and S. Boyd
  

2013

• A primal-dual operator splitting method for conic optimization
  
• E. Chu, B. O'Donoghue, N. Parikh, and S. Boyd
  
• Risk group detection and survival function estimation for interval coded survival methods
  
• V. Van Belle, P. Neven, V. Harvey, S. Van Huffel, J. Suykens, and S. Boyd
  
• A splitting method for optimal control
  
• B. O'Donoghue, G. Stathopoulos, and S. Boyd
  
• Maximizing a sum of sigmoids
  
• M. Udell and S. Boyd
  
• Cost optimal operation of thermal energy storage system with real-time prices
  
• T. Kashima and S. Boyd
  
• PID design by convex-concave optimization
  
• M. Hast, K. Astrom, B. Bernhardsson, and S. Boyd
  
• ECOS: An SOCP solver for embedded systems
  
• A. Domahidi, E. Chu, and S. Boyd
  
• Code generation for embedded second-order cone programming
  
• E. Chu, N. Parikh, A. Domahidi, and S. Boyd
  
• Iterated approximate value functions
  
• B. O'Donoghue, Y. Wang, and S. Boyd
  
• A distributed algorithm for fitting generalized additive models
  
• E. Chu, A. Keshavarz, and S. Boyd
  
• Nonconvex model predictive control for commercial refrigeration
  
• T. Hovgaard, L. Larsen, J. Jørgensen, and S. Boyd
  

2012

• Accuracy at the top
  
• S. Boyd, C. Cortes, M. Mohri, and A. Radovanovic
  
• Robust optimization of adiabatic tapers for coupling to slow-light photonic-crystal waveguides
  
• A Oskooi, A. Mutapcic, S. Noda, J. Joannopulos, S. Boyd, and S. Johnson
  
• A mathematical model for interpretable clinical decision support with applications in gynecology
  
• V. Van Belle, B. Van Calster, D. Timmerman, T. Bourne, C. Bottomley, L. Valentin, P. Neven, S. Van Huffel, J. Suykens, and S. Boyd
  
• An ADMM algorithm for a class of total variation regularized estimation problems
  
• B. Wahlberg, S. Boyd, M. Annergren, and Y. Wang
  
• Moving horizon estimation for staged QP problems
  
• E. Chu, A. Keshvarz, D. Gorinevsky, and S. Boyd
  
• CVXGEN: A code generator for embedded convex optimization
  
• J. Mattingley and S. Boyd
  
• Smoothed state estimates under abrupt changes using sum-of-norms regularization
  
• H. Ohlsson, F. Gustafsson, L. Ljung, and S. Boyd
  

2011

• Block splitting for large-scale distributed learning
  
• N. Parikh and S. Boyd
  
• Performance bounds and suboptimal policies for linear stochastic control via LMIs
  
• Y. Wang and S. Boyd
  
• Min-max approximate dynamic programming
  
• B. O'Donoghue, Y. Wang, and S. Boyd
  
• Wind turbine pitch optimization
  
• B. Biegel, M. Juelsgaard, M. Kraning, S. Boyd, and J. Stoustrup
  
• Imputing a convex objective function
  
• A. Keshavarz, Y. Wang, and S. Boyd
  
• Load reduction of wind turbines using receding horizon control
  
• M. Soltani, R. Wisniewski, P. Brath, and S. Boyd
  
• Scalable statistical monitoring of fleet data
  
• E. Chu, D. Gorinevsky, and S. Boyd
  
• Operation and configuration of a storage portfolio via convex optimization
  
• M. Kraning, Y. Wang, E. Akuiyibo, and S. Boyd
  
• Controller coefficient truncation using Lyapunov performance certificate
  
• J. Skaf and S. Boyd
  
• Self-tuning for maximized lifetime energy-efficiency in the presence of circuit aging
  
• E. Mintarno, J. Skaf, R. Zheng, J. Velamela, Y. Cao, S. Boyd, R. Dutton, and S. Mitra
  
• Fast evaluation of quadratic control-Lyapunov policy
  
• Y. Wang and S. Boyd
  
• Distributed optimization and statistical learning via the alternating direction method of multipliers
  
• S. Boyd, N. Parikh, E. Chu, B. Peleato, and J. Eckstein
  
• Receding horizon control: Automatic generation of high-speed solvers
  
• J. Mattingley, Y. Wang, and S. Boyd
  
• Inferring stable genetic networks from steady-state data
  
• M. Zavlanos, A. Julius, S. Boyd, and G. Pappas
  
• Inverse design of a three-dimensional nanophotonic resonator
  
• J. Lu, S. Boyd, and J. Vuckovic
  

2010

• Design of affine controllers via convex optimization
  
• J. Skaf and S. Boyd
  
• Techniques for exploring the suboptimal set
  
• J. Skaf and S. Boyd
  
• Segmentation of ARX-models using sum-of-norms regularization
  
• H. Olson, L. Ljung, and S. Boyd
  
• Compressed sensing based cone-beam computed tomography reconstruction with a first-order method
  
• K. Choi, J. Wang, L. Zhu, T. Suh, S. Boyd, and L. Xing
  
• Real-time convex optimization in signal processing
  
• J. Mattingley and S. Boyd
  
• Adaptive modulation with smoothed flow utility
  
• E. Akuiyibo and S. Boyd
  
• Detecting aircraft performance anomalies from cruise flight data
  
• E. Chu, D. Gorinesky, and S. Boyd
  
• Shrinking-horizon dynamic programming
  
• J. Skaf, S. Boyd, and A. Zeevi
  
• Optimizing adaptive modulation in wireless networks via multi-period network utility maximization
  
• D. O'Neill, E. Akuiyibo, S. Boyd, and A. Goldsmith
  
• Fast algorithms for resource allocation in wireless cellular networks
  
• R. Madan, S. Boyd, and S. Lall
  
• Fast model predictive control using online optimization
  
• Y. Wang and S. Boyd
  
• Automatic code generation for real-time convex optimization
  
• J. Mattingley and S. Boyd
  
• Mixed linear system estimation and identification
  
• A. Zymnis, S. Boyd, and D. Gorinevsky
  
• Compressed sensing with quantized measurements
  
• A. Zymnis, S. Boyd, and E. Candes
  

2009

• An efficient method for large-scale slack allocation
  
• S. Joshi and S. Boyd
  
• Estimation of faults in DC electrical power system
  
• D. Gorinevsky, S. Boyd, and S. Poll
  
• Nonlinear Q-design for convex stochastic control
  
• J. Skaf and S. Boyd
  
• Processor speed control with thermal constraints
  
• A. Mutapcic, S. Boyd, S. Murali, D. Atienza, G. De Micheli, and R. Gupta
  
• Optimized self-tuning for circuit aging
  
• E. Mintarno, J. Skaf, R. Zheng, J. Velamela, Y. Cao, S. Boyd, R. Dutton, and S. Mitra
  
• Genetic network identification using convex programming
  
• A. Julius, M. Zavlanos, S. Boyd, and G. Pappas
  
• Fastest mixing Markov chain on graphs with symmetries
  
• S. Boyd, P. Diaconis, P. Parrilo, and L. Xiao
  
• Subspaces that minimize the condition number of a matrix
  
• S. Joshi and S. Boyd
  
• l1 trend filtering
  
• S.-J. Kim, K. Koh, S. Boyd, and D. Gorinevsky
  
• Cutting-set methods for robust convex optimization with pessimizing oracles
  
• A. Mutapcic and S. Boyd
  
• Robust design of slow-light tapers in periodic waveguides
  
• A. Mutapcic, S. Boyd, A. Farjadpour, S. Johnson, and Y. Avniel
  
• Analysis and synthesis of state-feedback controllers with timing jitter
  
• J. Skaf and S. Boyd
  
• Relaxed maximum a posteriori fault identification
  
• A. Zymnis, S. Boyd, and D. Gorinevsky
  
• Sensor selection via convex optimization
  
• S. Joshi and S. Boyd
  
• Convex piecewise-linear fitting
  
• A. Magnani and S. Boyd
  
• Performance bounds for linear stochastic control
  
• Y. Wang and S. Boyd
  
• Optimal estimation of deterioration from diagnostic image sequence
  
• D. Gorinevsky, S.-J. Kim, S. Beard, S. Boyd, and G. Gordon
  
• Regular analog/RF IC design using optimization with recourse including ellipsoidal uncertainty
  
• Y. Xu, K.-L. Hsiung, X. Li, I. Nausieda, L. Pileggi, and S. Boyd
  

2008

• Multi-period portfolio optimization with constraints and transaction costs
  
• J. Skaf and S. Boyd
  
• Enhancing sparsity by reweighted l1 minimization
  
• E. Candes, M. Wakin, and S. Boyd
  
• Mixed state estimation for a linear Gaussian Markov model
  
• A. Zymnis, S. Boyd, and D. Gorinevsky
  
• An efficient method for large-scale gate sizing
  
• S. Joshi and S. Boyd
  
• Further relaxations of the semidefinite programming approach to sensor network localization
  
• Z. Wang, S. Zheng, Y. Ye, and S. Boyd
  
• A minimax theorem with applications to machine learning, signal processing, and finance
  
• S.-J. Kim and S. Boyd A. Zymnis, S. Boyd, and D. Gorinevsky
  
• Filter design with low complexity coefficients
  
• J. Skaf and S. Boyd
  
• Compensation of multimode fiber dispersion using adaptive optics via convex optimization
  
• R. Panicker, J. Kahn, and S. Boyd
  
• Optimizing adaptive modulation in wireless networks via utility maximization
  
• D. O'Neill, A. Goldsmith, and S. Boyd
  
• Learning the kernel via convex optimization
  
• S.-J. Kim, A. Zymnis, A. Magnani, K. Koh, and S. Boyd
  
• Robust beamforming via worst-case SINR maximization
  
• S.-J. Kim, A. Magnani, A. Mutapcic, S. Boyd, and Z.-Q. Luo
  
• Tractable approximate robust geometric programming
  
• K.-L. Hsiung, S.-J. Kim, and S. Boyd
  
• Minimizing effective resistance of a graph
  
• A. Ghosh, S. Boyd, and A. Saberi
  
• Identification of stable genetic networks using convex programming
  
• M. Zavlanos, A. Julius, S. Boyd and G. Pappas
  
• Temperature control of high-performance multi-core platforms using convex optimization
  
• S. Murali, A. Mutapcic, D. Atienza, R. Gupta, S. Boyd, L. Benini, and G. De Micheli
  
• Design of low-bandwidth spatially distributed feedback
  
• D. Gorinevsky, S. Boyd, and G. Stein
  
• Two-fund separation under model mis-specification
  
• S.-J. Kim and S. Boyd
  
• Graph implementations for nonsmooth convex programs
  
• M. Grant and S. Boyd
  

2007

• Fast computation of optimal contact forces
  
• S. Boyd and B. Wegbreit
  
• Robust efficient frontier analysis with a separable uncertainty model
  
• S.-J. Kim and S. Boyd
  
• Hyperspectral image unmixing via alternating projected subgradients
  
• A. Zymnis, S.-J. Kim, J. Skaf, M. Parente, and S. Boyd
  
• A tractable method for robust downlink beamforming in wireless communications
  
• A. Mutapcic, S.-J. Kim, and S. Boyd
  
• Dynamic network utility maximization with delivery contracts
  
• N. Trichakis, A. Zymnis, and S. Boyd
  
• Robust Chebyshev FIR equalization
  
• A. Mutapcic, S.-J. Kim, and S. Boyd
  
• Optimized slowdown in real-time task systems via geometric programming
  
• A. Mutapcic, S. Murali, S. Boyd, R. Gupta, D. Atienza, and G. De Micheli
  
• An interior-point method for large-scale network utility maximization
  
• A. Zymnis, N. Trichakis, S. Boyd, and D. O'Neill
  
• Beamforming with uncertain weights
  
• A. Mutapcic, S.-J. Kim, and S. Boyd
  
• Generalized Chebyshev bounds via semidefinite programming
  
• L. Vandenberghe, S. Boyd, and K. Comanor
  
• An interior-point method for large-scale l1-regularized logistic regression
  
• K. Koh, S.-J. Kim, and S. Boyd
  
• Portfolio optimization with linear and fixed transaction costs
  
• M. Lobo, M. Fazel, and S. Boyd
  
• Temperature-aware processor frequency assignment for MPSoCs using convex optimization
  
• S. Murali, A. Mutapcic, D. Atienza, R. Gupta, S. Boyd, and G. De Micheli
  
• A heuristic for optimizing stochastic activity networks with applications to statistical digital circuit sizing
  
• S.-J. Kim, S. Boyd, S. Yun, D. Patil, and M. Horowitz
  
• Distributed average consensus with least-mean-square deviation
  
• L. Xiao, S. Boyd, and S.-J. Kim
  
• A tutorial on geometric programming
  
• S. Boyd, S.-J. Kim, L. Vandenberghe, and A. Hassibi
  
• An interior point method for large-scale l1-regularized least squares
  
• S.-J. Kim, K. Koh, M. Lustig, S. Boyd, and D. Gorinevsky
  
• An efficient method for large-scale l1-regularized convex loss minimization
  
• K. Koh, S.-J. Kim, and S. Boyd
  
• Distributed estimation via dual decomposition
  
• S. Samar, S. Boyd, and D. Gorinevsky
  

2006

• Extending scope of robust optimization
  
• A. Ben Tal, S. Boyd, and A. Nemirovski
  
• Upper bounds on algebraic connectivity via convex optimization
  
• A. Ghosh and S. Boyd
  
• The fastest mixing Markov process on a graph and a connection to a maximum variance unfolding problem
  
• J. Sun, S. Boyd, L. Xiao, and P. Diaconis
  
• Embedded estimation of fault parameters in an unmanned aerial vehicle
  
• S. Samar, D. Gorinevsky, and S. Boyd
  
• Distributed average consensus with time-varying metropolis weights
  
• L. Xiao, S. Boyd, and S. Lall
  
• Array signal processing with robust rejection constraints via second-order cone programming
  
• A. Mutapcic, S.-J. Kim, and S. Boyd
  
• Design tools for emerging technologies
  
• S. Johnson, Y. Avniel, J. White, and S. Boyd
  
• Optimal kernel selection in kernel Fisher discriminant analysis
  
• S.-J. Kim, A. Magnani, and S. Boyd
  
• Pareto optimal linear classification
  
• S.-J. Kim, A. Magnani, S. Samar, S. Boyd, and J. Lim
  
• A duality view of spectral methods for dimensionality reduction
  
• L. Xiao, J. Sun, and S. Boyd
  
• Growing well-connected graphs
  
• A. Ghosh and S. Boyd
  
• A space-time diffusion scheme for peer-to-peer least-squares estimation
  
• L. Xiao, S. Boyd, and S. Lall
  
• Fastest mixing Markov chain on a path
  
• S. Boyd, P. Diaconis, J. Sun, and L. Xiao
  
• Randomized gossip algorithms
  
• S. Boyd, A. Ghosh, B. Prabhakar, and D. Shah
  
• Optimal scaling of a gradient method for distributed resource allocation
  
• L. Xiao and S. Boyd
  
• Convex optimization of graph Laplacian eigenvalues
  
• S. Boyd
  
• Disciplined convex programming
  
• M. Grant, S. Boyd, and Y. Ye
  
• A heuristic method for statistical digital circuit sizing
  
• S. Boyd, S.-J. Kim, D. Patil, and M. Horowitz
  
• Optimization-based design and implementation of multi-dimensional zero-phase IIR filters
  
• D. Gorinesvky and S. Boyd
  

2005

• Joint optimization of wireless communication and networked control systems
  
• L. Xiao, M. Johansson, H. Hindi, S. Boyd, and A. Goldsmith
  
• Likelihood bounds for constrained estimation with uncertainty
  
• S. Samar, D. Gorinevsky, and S. Boyd
  
• Geometric programming for circuit optimization
  
• S. Boyd and S.-J. Kim
  
• Tractable fitting with convex polynomials via sum-of-squares
  
• A. Magnani, S. Lall, and S. Boyd
  
• On time-invariant purified-output-based discrete time control
  
• A. Ben Tal, S. Boyd, and A. Nemirovski
  
• Power control in lognormal fading wireless channels with uptime probability specifications via robust geometric programming
  
• K.-L. Hsiung, S.-J. Kim and S. Boyd
  
• Robust minimum variance beamforming
  
• R. Lorenz and S. Boyd
  
• Piecewise-affine state feedback for piecewise-affine slab systems using convex optimization
  
• L. Rodrigues and S. Boyd
  
• OPERA: Optimization with ellipsoidal uncertainty for robust analog IC design
  
• Y. Xu, K.-L. Hsiung, X. Li, I. Nausieda, S. Boyd, and L. Pileggi
  
• Robust Fisher discriminant analysis
  
• S.-J. Kim, A. Magnani, and S. Boyd
  
• Digital circuit optimization via geometric programming
  
• S. Boyd, S.-J. Kim, D. Patil, and M. Horowitz
  
• Least-squares covariance matrix adjustment
  
• S. Boyd and L. Xiao
  
• Optimal doping profiles via geometric programming
  
• S. Joshi, S. Boyd, and R. Dutton
  
• A new method for design of robust digital circuits
  
• D. Patil, S. Yun, S.-J. Kim, A. Cheung, M. Horowitz, and S. Boyd
  
• Mixing times for random walks on geometric random graphs
  
• S. Boyd, A. Ghosh, B. Prabhakar, and D. Shah
  
• Gossip algorithms: Design, analysis, and applications
  
• S. Boyd, A. Ghosh, B. Prabhakar, and D. Shah
  
• A scheme for robust distributed sensor fusion based on average consensus
  
• L. Xiao, S. Boyd, and S. Lall
  
• Geometric programming applications to EDA problems
  
• S. Boyd, S.-J. Kim, S. Mohan, M. Horowitz, and D. Patil
  
• Symmetry analysis of reversible Markov chains
  
• S. Boyd, P. Diaconis, P. Parrilo, L. Xiao
  

2004

• Near-optimal depth constrained codes
  
• P. Gupta, B. Prabhakar, and S. Boyd
  
• A decomposition approach to distributed analysis of networked systems
  
• C. Langbort, L. Xiao, R. D'Andrea, and S. Boyd
  
• Moving horizon filter for monotonic trends
  
• S. Samar, D. Gorinevsky, and S. Boyd
  
• Distributed optimization for cooperative agents: Application to formation flight
  
• R. Raffard, C. Tomlin, and S. Boyd
  
• Analysis and optimization of randomized gossip algorithms
  
• S. Boyd, A. Ghosh, B. Prabhakar, and D. Shah
  
• MP-DSM: a distributed cross layer network control protocol
  
• D. O'Neill, L. Yan, and S. Boyd
  
• Rank minimization and applications in system theory
  
• M. Fazel, H. Hindi, and S. Boyd
  
• ORACLE: Optimization with recourse of analog circuits including layout extraction
  
• Y. Xu, L. Pileggi, and S. Boyd
  
• Equalization of modal dispersion in multimode fiber using spatial light modulators
  
• E. Alon, V. Stojanovic, J. Kahn, S. Boyd, and M. Horowitz
  
• Designing fast distributed iterations via semidefinite programming
  
• L. Xiao and S. Boyd
  

2003

• Throughput-centric routing algorithm design
  
• B. Towles, W. Dally, and S. Boyd
  
• Geometric programming duals of channel capacity and rate distortion
  
• M. Chiang and S. Boyd
  
• Control in an information rich world
  
• R. Murray et al
  
• Managing power consumption in networks on chips
  
• T. Simunic, S. Boyd, and P. Glynn
  
• Log-det heuristic for matrix rank minimization with applications to Hankel and Euclidean distance matrices
  
• M. Fazel, H. Hindi, and S. Boyd
  
• Adaptive management of network resources
  
• D. O'Neill, D. Julian, and S. Boyd
  
• Optimal routes and flows in congestion constrained ad hoc networks
  
• D. O'Neill, D. Julian, and S. Boyd
  
• Future directions in control in an information-rich world
  
• R. Murray, K. Astrom, S. Boyd, R. Brockett, and G. Stein
  
• Pricing and learning with uncertain demand
  
• M. Lobo and S. Boyd
  
• Worst-case capacity of vector Gaussian channels
  
• S. Vishwanath, S. Boyd, and A. Goldsmith
  
• Optimization of phase-locked loop circuits via geometric programming
  
• D. Colleran, C. Portmann, A. Hassibi, C. Crusius, S. Mohan, S. Boyd, T. Lee, and M. Hershenson
  
• Seeking Foschini's genie: Optimal rates and powers in wireless networks
  
• D. O'Neill, D. Julian, and S. Boyd
  
• Fast linear iterations for distributed averaging
  
• L. Xiao and S. Boyd
  
• Fastest mixing Markov chain on a graph
  
• S. Boyd, P. Diaconis, and L. Xiao
  
• Optimization-based tuning of low bandwidth control in spatially distributed systems
  
• D. Gorinevsky, S. Boyd, and G. Stein
  
• Joint optimization of communication rates and linear systems
  
• L. Xiao, M. Johansson, H. Hindi, S. Boyd, and A. Goldsmith
  

2002

• Advances in convex optimization: Interior-point methods, cone programming, and applications
  
• S. Boyd and L. Vandenberghe
  
• Computing optimal uncertainty models from frequency domain data
  
• H. Hindi, C.-Y. Seong, and S. Boyd
  
• An ellipsoidal approximation to the Hadamard product of ellipsoids
  
• R. Lorenz and S. Boyd
  
• Convex optimization of output link scheduling and active queue management in QoS constrained packet switches
  
• M. Chiang, B. Chan, and S. Boyd
  
• QoS and fairness constrained convex optimization of resource allocation for wireless cellular and ad hoc networks
  
• D. Julian, M. Chiang, D. O'Neill, and S. Boyd
  
• Efficient nonlinear optimization of queueing systems
  
• M. Chiang, A. Sutivong, and S. Boyd
  
• Optimal power control in interference limited fading wireless channels with outage probability specifications
  
• S. Kandukuri and S. Boyd
  

2001

• Simultaneous routing and resource allocation in CDMA wireless data networks
  
• M. Johansson, L. Xiao, and S. Boyd
  
• Advances in convex optimization: Theory, algorithms, and applications
  
• S. Boyd, L. Vandenberghe
  
• Simultaneous routing and resource allocation via dual decomposition
  
• L. Xiao, M. Johansson, and S. Boyd
  
• Resource allocation for QoS provisioning in wireless ad hoc networks
  
• M. Chiang, D. O'Neill, D. Julian, and S. Boyd
  
• Robust linear programming and optimal control
  
• L. Vandenberghe, S. Boyd, and M. Nouralishahi
  
• Iterative water-filling for Gaussian vector multiple access channels
  
• W. Yu, W. Rhee, S. Boyd, and J. Cioffi
  
• Design of robust global power and ground networks
  
• S. Boyd, L. Vandenberghe, A. El Gamal, and S. Yun
  
• Optimal design of a CMOS op-amp via geometric programming
  
• M. Hershenson, S. Boyd, and T. Lee
  
• Optimal allocation of local feedback in multistage amplifiers via geometric programming
  
• J. Dawson, S. Boyd, M. Hershenson, and T. Lee
  
• A rank minimization heuristic with application to minimum order system approximation
  
• M. Fazel, H. Hindi, and S. Boyd
  

2000

• Simutaneous rate and power control in multirate CDMA systems
  
• S. Kandukuri and S. Boyd
  
• On achieving reduced error propagation sensitivity in DFE design via convex optimization
  
• R. Kosut, W. Chung, C. Johnson, and S. Boyd
  
• Finding ultimate limits of performance for hybrid electric vehicles
  
• E. Tate and S. Boyd
  
• Worst-case risk of a portfolio
  
• M. Lobo and S. Boyd
  
• SDPSOL: a parser/solver for semidefinite programs with matrix structure
  
• S.-P. Wu and S. Boyd
  
• Bandwidth extension in CMOS with optimized on-chip inductors
  
• S. Mohan, M. Hershenson, S. Boyd, and T. Lee
  
• Dynamic emission tomography - regularization and inversion
  
• J. Maeght, D. Noll, and S. Boyd
  

1999

• Crisis in scholarly publishing C-LIB subcommittee summary
  
• S. Boyd and A. Herkovic
  
• Low-authority controller design via convex optimization
  
• A. Hassibi, J. How, and S. Boyd
  
• Simple accurate expressions for planar spiral inductances
  
• S. Mohan, M. Hershenson, S. Boyd, and T. Lee
  
• Applications of semidefinite programming
  
• L. Vandenberghe and S. Boyd
  
• Entropy and random feedback
  
• S. Boyd
  
• Control of asynchronous dynamical systems with rate constraints on events
  
• A. Hassibi, S. Boyd, and J. How
  
• Design and optimization of LC oscillators
  
• M. Hershenson, A. Hajimiri, S. Mohan, S. Boyd, and T. Lee
  
• A two-bit scheme for routing lookup
  
• B. Prabhakar, P. Gupta, and S. Boyd
  
• Policies for simultaneous estimation and optimization
  
• M. Lobo and S. Boyd
  
• A path-following method for solving BMI problems in control
  
• A. Hassibi, J. How, and S. Boyd
  
• A class of Lyapunov functionals for analyzing hybrid dynamical systems
  
• A. Hassibi, S. Boyd, and J. How
  
• Optimization of inductor circuits via geometric programming
  
• M. Hershenson, S. Mohan, S. Boyd, and T. Lee
  

1998

• Applications of second-order cone programming
  
• M. Lobo, L. Vandenberghe, S. Boyd, and H. Lebret
  
• Integer parameter estimation in linear models with applications to GPS
  
• A. Hassibi and S. Boyd
  
• Optimal temperature profiles for post-exposure bake of photoresist
  
• A. Hansson and S. Boyd
  
• Robust optimal control of linear discrete-time systems using primal-dual interior-point methods
  
• A. Hansson and S. Boyd
  
• Connections between semi-infinite and semidefinite programming
  
• L. Vandenberghe and S. Boyd
  
• Determinant maximization with linear matrix inequality constraints
  
• L. Vandenberghe, S. Boyd, and S.-P. Wu
  
• Optimizing dominant time constant in RC circuits
  
• L. Vandenberghe, S. Boyd, and A. El Gamal
  
• Control applications of nonlinear convex programming
  
• S. Boyd, C. Crusius, and A. Hansson
  
• Synthesizing stability regions for systems with saturating actuators
  
• T. Pare, H. Hindi, J. How, and S. Boyd
  
• Analysis of linear systems with saturation using convex optimization
  
• H. Hindi and S. Boyd
  
• GPCAD: A tool for CMOS op-amp synthesis
  
• M. Hershenson, S. Boyd, and T. Lee
  
• FIR filter design via spectral factorization and convex optimization
  
• S.-P. Wu, S. Boyd, and L. Vandenberghe
  
• Control-relevant experiment design: a plant-friendly, LMI-based approach
  
• B. Cooley, J. Lee, and S. Boyd
  
• Multiobjective H_2/H_infinity-optimal control via finite dimensional Q-parametrization and linear matrix inequalities
  
• H. Hindi, B. Hassibi, S. Boyd
  
• Robust solutions to l1, l2, and l_infinity uncertain linear approximation problems using convex optimization
  
• H. Hindi and S. Boyd
  
• Quadratic stabilization and control of piecewise-linear systems
  
• A. Hassibi and S. Boyd
  
• An implementation of discrete multi-tone over slowly time-varying multiple-input/multiple-output channels
  
• A. Tehrani, A. Hassibi, S. Boyd, and J. Cioffi
  

1997

• Antenna array pattern synthesis via convex optimization
  
• H. Lebret and S. Boyd
  
• Semidefinite programming relaxations of non-convex problems in control and combinatorial optimization
  
• S. Boyd and L. Vandenberghe
  
• A global BMI algorithm based on the generalized Benders decomposition
  
• E. Beran, L. Vandenberghe, and S. Boyd
  
• Optimal wire and transistor sizing for circuits with non-tree topology
  
• L. Vandenberghe, S. Boyd, and A. El Gamal
  
• Obstacle collision detection using best ellipsoid fit
  
• E. Rimon and S. Boyd
  
• Optimal linear static control with moment and yield objectives
  
• A. Hansson, S. Boyd, L. Vandenberghe, and M. Lobo
  

1996

• Semidefinite programming
  
• L. Vandenberghe and S. Boyd
  
• Control for advanced semiconductor device manufacturing: a case history
  
• T. Kailath, C. Schaper, Y. Cho, P. Gyugyi, S. Norman, P. Park, S. Boyd, G. Franklin, K. Saraswat, M. Moslehi, and C. Davis
  
• Design and implementation of a parser/solver for SDPs with matrix structure
  
• S.-P. Wu and S. Boyd
  
• Optimal excitation signal design for frequency domain system identification using semidefinite programming
  
• G. Javorzky, I. Kollar, L. Vandenberghe, S. Boyd, and S.-P. Wu
  

1995

• Review ofMathematical Control Theory: Deterministic Finite-Dimensional Systems
  
• S. Boyd
  
• A primal-dual potential reduction method for problems involving matrix inequalities
  
• L. Vandenberghe and S. Boyd
  
• CRCD program: convex optimization for engineering analysis and design
  
• S. Boyd and L. Vandenberghe
  

1994

• Existence and uniqueness of optimal matrix scalings
  
• V. Balakrishnan and S. Boyd
  
• Generalized access control strategies for integrated services token passing systems
  
• J. Pang, F. Tobagi, and S. Boyd
  
• Robust control tools: graphical user-interfaces and LMI algorithms
  
• S. Boyd
  
• Improving static performance robustness of thermal processes
  
• M. Kabuli, R. Kosut and S. Boyd
  
• Efficient convex optimization for engineering design
  
• S. Boyd, L. Vandenberghe, and M. Grant
  
• History of linear matrix inequalities in control theory
  
• S. Boyd, E. Feron, V. Balakrishnan, and L. El Ghaoui
  
• Tradeoffs in frequency-weighted H_infinity-control
  
• V. Balakrishnan and S. Boyd
  

1993

• Method of centers for minimizing generalized eigenvalues
  
• S. Boyd and L. El Ghaoui
  
• Closed-loop convex formulation of classical and singular value loop shaping
  
• C. Barratt and S. Boyd
  
• Solving interpolation problems via generalized eigenvalue minimization
  
• S. Boyd and L. El Ghaoui
  
• Control systems analysis and synthesis via linear matrix inequalities
  
• S. Boyd, V. Balakrishnan, E. Feron, and L. El Ghaoui
  
• A polynomial-time algorithm for determining quadratic Lyapunov functions for nonlinear systems
  
• L. Vandenberghe and S. Boyd
  
• Linear matrix inequalities in system and control theory
  
• S. Boyd, L. El Ghaoui, E. Feron, and V. Balakrishnan
  

1992

• Set-membership identification of systems with parametric and nonparametric uncertainty
  
• R. Kosut, M. Lau, and S. Boyd
  
• On computing the worst-case peak gain of linear systems
  
• V. Balakrishnan and S. Boyd
  
• Global optimization in control system analysis and design
  
• V. Balakrishnan and S. Boyd
  
• Design of stablizing state feedback for delay systems via convex optimization
  
• E. Feron, V. Balakrishnan, and S. Boyd
  
• Efficient distance computation using best ellipsoid fit
  
• E. Rimon and S. Boyd
  
• On maximizing a robustness measure for structured nonlinear perturbations
  
• L. El Ghaoui, V. Balakrishnan, E. Feron, and S. Boyd
  
• Numerical methods for H_2 related problems
  
• E. Feron, V. Balakrishnan, S. Boyd, and L. El Ghaoui
  
• Computing bounds for the structured singular value via an interior point algorithm
  
• V. Balakrishnan, E. Feron, S. Boyd and, L. El Ghaoui
  
• Multivariable feedback control of semiconductor wafer temperature
  
• S. Norman and S. Boyd
  
• Interactive loop-shaping design of MIMO controllers
  
• C. Barratt and S. Boyd
  
• Dynamics and control of a rapid thermal multiprocessor
  
• C. Schaper, Y. Cho, P. Gyugyi, G. Hoffmann, S. Norman, P. Park, S. Boyd, G. Franklin, T. Kailath, and K. Saraswat
  
• Branch-and-bound algorithm for computing the minimum stability degree of parameter-dependent linear systems
  
• V. Balakrishnan, S. Boyd, and S. Balemi
  
• Closed-loop convex analysis of performance limits for linear control systems
  
• S. Boyd and C. Barratt