Bio


Stephen P. Boyd is the Samsung Professor of Engineering, and Professor of Electrical Engineering in the Information Systems Laboratory at Stanford University. He has courtesy appointments in the Department of Management Science and Engineering and the Department of Computer Science, and is member of the Institute for Computational and Mathematical Engineering. His current research focus is on convex optimization applications in control, signal processing, and circuit design.

Professor Boyd received an AB degree in Mathematics, summa cum laude, from Harvard University in 1980, and a PhD in EECS from U. C. Berkeley in 1985. In 1985 he joined the faculty of Stanford's Electrical Engineering Department. He has held visiting Professor positions at Katholieke University (Leuven), McGill University (Montreal), Ecole Polytechnique Federale (Lausanne), Tsinghua University (Beijing), Universite Paul Sabatier (Toulouse), Royal Institute of Technology (Stockholm), Kyoto University, Harbin Institute of Technology, NYU, and MIT. He holds an honorary doctorate from Royal Institute of Technology (KTH), Stockholm.

Professor Boyd has received many awards and honors for his research in control systems engineering and optimization, including an ONR Young Investigator Award, Presidential Young Investigator Award, and the AACC Donald P. Eckman Award, given annually for the greatest contribution to the field of control
engineering by someone under the age of 35. In 2013, he received the IEEE Control Systems Award, given for outstanding contributions to control systems engineering, science, or technology. In 2012, Michael Grant and he were given the Mathematical Optimization Society's Beale-Orchard-Hays Award, given every three years for excellence in computational mathematical programming. He is a Fellow of the IEEE, a Distinguished Lecturer of the IEEE Control Systems Society, and a member of the National Academy of Engineering. He has been invited to deliver more than 60 plenary and keynote lectures at major conferences in control, optimization, and machine learning.

Academic Appointments


Honors & Awards


  • Fellow, SIAM
  • Member, National Academy of Engineering
  • Presidential Young Investigator Award, National Science Foundation
  • Perrin Award for Undergraduate Teaching, Stanford University
  • Graduate Teaching Award, ASSU
  • Donald P. Eckman Award, IEEE Control Systems Society
  • Distinguished Lecturer, IEEE
  • Fellow, IEEE Control Systems Society
  • John R. Ragazzini Award, Automatic Control Council
  • Control Systems Award, IEEE
  • Beal-Orchard-Hays Prize, Mathematical Optimization Society

Professional Education


  • PhD, UC Berkeley, EECS (1985)
  • BA, Harvard University, Mathematics (1980)

2014-15 Courses


Journal Articles


  • Quadratic approximate dynamic programming for input-affine systems INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL Keshavarz, A., Boyd, S. 2014; 24 (3): 432-449

    View details for DOI 10.1002/rnc.2894

    View details for Web of Science ID 000329439900003

  • Proximal algorithms Foundations and Trends in Optimization Boyd, S., Parikh, N. 2014; 3 (1): 123-231
  • Security Constrained Optimal Power Flow via Proximal Message Passing 2014 CLEMSON UNIVERSITY POWER SYSTEMS CONFERENCE (PSC) Chakrabarti, S., Kraning, M., Chu, E., Baldick, R., Boyd, S. 2014
  • Performance bounds and suboptimal policies for multi-period investment Foundations and Trends in Optimization, Original version Boyd, S., Mueller, M., O'Donoghue, B., Wang, Y. 2014; 1 (1): 1-69
  • Dynamic network energy management via proximal message passing Foundations and Trends in Optimization, Original version posted 4/1/12. Kraning, M., Chu, E., Lavaei, J., Boyd, S. 2014; 2 (1): 70-122
  • A Splitting Method for Optimal Control IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY O'Donoghue, B., Stathopoulos, G., Boyd, S. 2013; 21 (6): 2432-2442
  • Nonconvex model predictive control for commercial refrigeration INTERNATIONAL JOURNAL OF CONTROL Hovgaard, T. G., Boyd, S., Larsen, L. F., Jorgensen, J. B. 2013; 86 (8): 1349-1366
  • Risk group detection and survival function estimation for interval coded survival methods NEUROCOMPUTING Van Belle, V., Neven, P., Harvey, V., Van Huffel, S., Suykens, J. A., Boyd, S. 2013; 112: 200-210
  • A distributed algorithm for fitting generalized additive models OPTIMIZATION AND ENGINEERING Chu, E., Keshavarz, A., Boyd, S. 2013; 14 (2): 213-224
  • A primal-dual operator splitting method for conic optimization Working Draft. Chu, E., O'Donoghue, B., Parikh, N., Boyd, S. 2013
  • MPC for Wind Power Gradients - Utilizing Forecasts, Rotor Inertia, and Central Energy Storage 2013 EUROPEAN CONTROL CONFERENCE (ECC) Hovgaard, T. G., Larsen, L. F., Jorgensen, J. B., Boyd, S. 2013: 4071-4076
  • Block splitting for distributed optimization Mathematical Programming Computation, Shorter preliminary version appeared as NIPS workshop paper. Parikh, N., Boyd, S. 2013
  • Robust optimization of adiabatic tapers for coupling to slow-light photonic-crystal waveguides OPTICS EXPRESS Oskooi, A., Mutapcic, A., Noda, S., Joannopoulos, J. D., Boyd, S. P., Johnson, S. G. 2012; 20 (19): 21558-21575

    Abstract

    We investigate the design of taper structures for coupling to slow-light modes of various photonic-crystal waveguides while taking into account parameter uncertainties inherent in practical fabrication. Our short-length (11 periods) robust tapers designed for ? = 1.55?m and a slow-light group velocity of c/34 have a total loss of < 20 dB even in the presence of nanometer-scale surface roughness, which outperform the corresponding non-robust designs by an order of magnitude. We discover a posteriori that the robust designs have smooth profiles that can be parameterized by a few-term (intrinsically smooth) sine series which helps the optimization to further boost the performance slightly. We ground these numerical results in an analytical foundation by deriving the scaling relationships between taper length, taper smoothness, and group velocity with the help of an exact equivalence with Fourier analysis.

    View details for Web of Science ID 000308865600094

    View details for PubMedID 23037275

  • Dose optimization with first-order total-variation minimization for dense angularly sampled and sparse intensity modulated radiation therapy (DASSIM-RT) MEDICAL PHYSICS Kim, H., Li, R., Lee, R., Goldstein, T., Boyd, S., Candes, E., Xing, L. 2012; 39 (7): 4316-4327

    Abstract

    A new treatment scheme coined as dense angularly sampled and sparse intensity modulated radiation therapy (DASSIM-RT) has recently been proposed to bridge the gap between IMRT and VMAT. By increasing the angular sampling of radiation beams while eliminating dispensable segments of the incident fields, DASSIM-RT is capable of providing improved conformity in dose distributions while maintaining high delivery efficiency. The fact that DASSIM-RT utilizes a large number of incident beams represents a major computational challenge for the clinical applications of this powerful treatment scheme. The purpose of this work is to provide a practical solution to the DASSIM-RT inverse planning problem.The inverse planning problem is formulated as a fluence-map optimization problem with total-variation (TV) minimization. A newly released L1-solver, template for first-order conic solver (TFOCS), was adopted in this work. TFOCS achieves faster convergence with less memory usage as compared with conventional quadratic programming (QP) for the TV form through the effective use of conic forms, dual-variable updates, and optimal first-order approaches. As such, it is tailored to specifically address the computational challenges of large-scale optimization in DASSIM-RT inverse planning. Two clinical cases (a prostate and a head and neck case) are used to evaluate the effectiveness and efficiency of the proposed planning technique. DASSIM-RT plans with 15 and 30 beams are compared with conventional IMRT plans with 7 beams in terms of plan quality and delivery efficiency, which are quantified by conformation number (CN), the total number of segments and modulation index, respectively. For optimization efficiency, the QP-based approach was compared with the proposed algorithm for the DASSIM-RT plans with 15 beams for both cases.Plan quality improves with an increasing number of incident beams, while the total number of segments is maintained to be about the same in both cases. For the prostate patient, the conformation number to the target was 0.7509, 0.7565, and 0.7611 with 80 segments for IMRT with 7 beams, and DASSIM-RT with 15 and 30 beams, respectively. For the head and neck (HN) patient with a complicated target shape, conformation numbers of the three treatment plans were 0.7554, 0.7758, and 0.7819 with 75 segments for all beam configurations. With respect to the dose sparing to the critical structures, the organs such as the femoral heads in the prostate case and the brainstem and spinal cord in the HN case were better protected with DASSIM-RT. For both cases, the delivery efficiency has been greatly improved as the beam angular sampling increases with the similar or better conformal dose distribution. Compared with conventional quadratic programming approaches, first-order TFOCS-based optimization achieves far faster convergence and smaller memory requirements in DASSIM-RT.The new optimization algorithm TFOCS provides a practical and timely solution to the DASSIM-RT or other inverse planning problem requiring large memory space. The new treatment scheme is shown to outperform conventional IMRT in terms of dose conformity to both the targetand the critical structures, while maintaining high delivery efficiency.

    View details for DOI 10.1118/1.4729717

    View details for Web of Science ID 000306893000029

    View details for PubMedID 22830765

  • Smoothed state estimates under abrupt changes using sum-of-norms regularization AUTOMATICA Ohlsson, H., Gustafsson, F., Ljung, L., Boyd, S. 2012; 48 (4): 595-605
  • A Mathematical Model for Interpretable Clinical Decision Support with Applications in Gynecology PLOS ONE Van Belle, V. M., Van Calster, B., Timmerman, D., Bourne, T., Bottomley, C., Valentin, L., Neven, P., Van Huffel, S., Suykens, J. A., Boyd, S. 2012; 7 (3)

    Abstract

    Over time, methods for the development of clinical decision support (CDS) systems have evolved from interpretable and easy-to-use scoring systems to very complex and non-interpretable mathematical models. In order to accomplish effective decision support, CDS systems should provide information on how the model arrives at a certain decision. To address the issue of incompatibility between performance, interpretability and applicability of CDS systems, this paper proposes an innovative model structure, automatically leading to interpretable and easily applicable models. The resulting models can be used to guide clinicians when deciding upon the appropriate treatment, estimating patient-specific risks and to improve communication with patients.We propose the interval coded scoring (ICS) system, which imposes that the effect of each variable on the estimated risk is constant within consecutive intervals. The number and position of the intervals are automatically obtained by solving an optimization problem, which additionally performs variable selection. The resulting model can be visualised by means of appealing scoring tables and color bars. ICS models can be used within software packages, in smartphone applications, or on paper, which is particularly useful for bedside medicine and home-monitoring. The ICS approach is illustrated on two gynecological problems: diagnosis of malignancy of ovarian tumors using a dataset containing 3,511 patients, and prediction of first trimester viability of pregnancies using a dataset of 1,435 women. Comparison of the performance of the ICS approach with a range of prediction models proposed in the literature illustrates the ability of ICS to combine optimal performance with the interpretability of simple scoring systems.The ICS approach can improve patient-clinician communication and will provide additional insights in the importance and influence of available variables. Future challenges include extensions of the proposed methodology towards automated detection of interaction effects, multi-class decision support systems, prognosis and high-dimensional data.

    View details for DOI 10.1371/journal.pone.0034312

    View details for Web of Science ID 000304523400072

    View details for PubMedID 22479598

  • CVXGEN: a code generator for embedded convex optimization OPTIMIZATION AND ENGINEERING Mattingley, J., Boyd, S. 2012; 13 (1): 1-27
  • Moving Horizon Estimation for Staged QP Problems 2012 IEEE 51ST ANNUAL CONFERENCE ON DECISION AND CONTROL (CDC) Chu, E., Keshavarz, A., Gorinevsky, D., Boyd, S. 2012: 3177-3182
  • Quadratic approximate dynamic programming for input-affine systems International Journal of Robust and Nonlinear Control, published on-line Keshavarz, A., Boyd, S. 2012
  • Performance bounds and suboptimal policies for linear stochastic control via LMIs INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL Wang, Y., Boyd, S. 2011; 21 (14): 1710-1728

    View details for DOI 10.1002/rnc.1665

    View details for Web of Science ID 000294256000007

  • Fast Evaluation of Quadratic Control-Lyapunov Policy IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY Wang, Y., Boyd, S. 2011; 19 (4): 939-946
  • Receding Horizon Control AUTOMATIC GENERATION OF HIGH-SPEED SOLVERS IEEE CONTROL SYSTEMS MAGAZINE Mattingley, J., Wang, Y., Boyd, S. 2011; 31 (3): 52-65
  • Inferring stable genetic networks from steady-state data AUTOMATICA Zavlanos, M. M., Julius, A. A., Boyd, S. P., Pappas, G. J. 2011; 47 (6): 1113-1122
  • Inverse design of a three-dimensional nanophotonic resonator OPTICS EXPRESS Lu, J., Boyd, S., Vuckovic, J. 2011; 19 (11): 10563-10570

    Abstract

    The inverse design of a three-dimensional nanophotonic resonator is presented. The design methodology is computationally fast (10 minutes on a standard desktop workstation) and utilizes a 2.5-dimensional approximation of the full three-dimensional structure. As an example, we employ the proposed method to design a resonator which exhibits a mode volume of 0.32(?/n)3 and a quality factor of 7063.

    View details for Web of Science ID 000290852800050

    View details for PubMedID 21643310

  • Self-Tuning for Maximized Lifetime Energy-Efficiency in the Presence of Circuit Aging IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS Mintarno, E., Skaf, J., Zheng, R., Velamala, J. B., Cao, Y., Boyd, S., Dutton, R. W., Mitra, S. 2011; 30 (5): 760-773
  • Controller coefficient truncation using Lyapunov performance certificate INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL Skaf, J., Boyd, S. P. 2011; 21 (1): 55-78

    View details for DOI 10.1002/rnc.1577

    View details for Web of Science ID 000285936300004

  • Imputing a Convex Objective Function 2011 IEEE INTERNATIONAL SYMPOSIUM ON INTELLIGENT CONTROL (ISIC) Keshavarz, A., Wang, Y., Boyd, S. 2011: 613-619
  • Receding horizon control: Automatic generation of high-speed solvers IEEE Control Systems Magazine Mattingley, J., Wang, Y., Boyd, S. 2011; 3 (31): 52–65
  • Distributed optimization and statistical learning via the alternating direction method of multipliers Foundations and Trends in Machine Learning Boyd, S., Parikh, N., Chu, E., Peleato, B., Eckstein, J. 2011; 1 (3): 1–122
  • Wind Turbine Pitch Optimization 2011 IEEE INTERNATIONAL CONFERENCE ON CONTROL APPLICATIONS (CCA) Biegel, B., Juelsgaard, M., Kraning, M., Boyd, S., Stoustrup, J. 2011: 1327-1334
  • Shrinking-horizon dynamic programming INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL Skaf, J., Boyd, S., Zeevi, A. 2010; 20 (17): 1993-2002

    View details for DOI 10.1002/rnc.1566

    View details for Web of Science ID 000284215900007

  • A unified framework for 3D radiation therapy and IMRT planning: plan optimization in the beamlet domain by constraining or regularizing the fluence map variations PHYSICS IN MEDICINE AND BIOLOGY Meng, B., Zhu, L., Widrow, B., Boyd, S., Xing, L. 2010; 55 (22): N521-N531

    Abstract

    The purpose of this work is to demonstrate that physical constraints on fluence gradients in 3D radiation therapy (RT) planning can be incorporated into beamlet optimization explicitly by direct constraint on the spatial variation of the fluence maps or implicitly by using total-variation regularization (TVR). The former method forces the fluence to vary in accordance with the known form of a wedged field and latter encourages the fluence to take the known form of the wedged field by requiring the derivatives of the fluence maps to be piece-wise constant. The performances of the proposed methods are evaluated by using a brain cancer case and a head and neck case. It is found that both approaches are capable of providing clinically sensible 3D RT solutions with monotonically varying fluence maps. For currently available 3D RT delivery schemes based on the use of customized physical or dynamic wedges, constrained optimization seems to be more useful because the optimized fields are directly deliverable. Working in the beamlet domain provides a natural way to model the spatial variation of the beam fluence. The proposed methods take advantage of the fact that 3D RT is a special form of intensity-modulated radiation therapy (IMRT) and finds the optimal plan by searching for fields with a certain type of spatial variation. The approach provides a unified framework for 3D CRT and IMRT plan optimization.

    View details for DOI 10.1088/0031-9155/55/22/N01

    View details for Web of Science ID 000283789700001

    View details for PubMedID 21030744

  • Design of Affine Controllers via Convex Optimization IEEE TRANSACTIONS ON AUTOMATIC CONTROL Skaf, J., Boyd, S. P. 2010; 55 (11): 2476-2487
  • Compressed sensing based cone-beam computed tomography reconstruction with a first-order method MEDICAL PHYSICS Choi, K., Wang, J., Zhu, L., Suh, T., Boyd, S., Xing, L. 2010; 37 (9): 5113-5125

    Abstract

    This article considers the problem of reconstructing cone-beam computed tomography (CBCT) images from a set of undersampled and potentially noisy projection measurements.The authors cast the reconstruction as a compressed sensing problem based on l1 norm minimization constrained by statistically weighted least-squares of CBCT projection data. For accurate modeling, the noise characteristics of the CBCT projection data are used to determine the relative importance of each projection measurement. To solve the compressed sensing problem, the authors employ a method minimizing total-variation norm, satisfying a prespecified level of measurement consistency using a first-order method developed by Nesterov.The method converges fast to the optimal solution without excessive memory requirement, thanks to the method of iterative forward and back-projections. The performance of the proposed algorithm is demonstrated through a series of digital and experimental phantom studies. It is found a that high quality CBCT image can be reconstructed from undersampled and potentially noisy projection data by using the proposed method. Both sparse sampling and decreasing x-ray tube current (i.e., noisy projection data) lead to the reduction of radiation dose in CBCT imaging.It is demonstrated that compressed sensing outperforms the traditional algorithm when dealing with sparse, and potentially noisy, CBCT projection views.

    View details for DOI 10.1118/1.3481510

    View details for Web of Science ID 000281906000063

    View details for PubMedID 20964231

  • Fast Algorithms for Resource Allocation in Wireless Cellular Networks IEEE-ACM TRANSACTIONS ON NETWORKING Madan, R., Boyd, S. P., Lall, S. 2010; 18 (3): 973-984
  • Segmentation of ARX-models using sum-of-norms regularization AUTOMATICA Ohlsson, H., Ljung, L., Boyd, S. 2010; 46 (6): 1107-1111
  • Techniques for exploring the suboptimal set OPTIMIZATION AND ENGINEERING Skaf, J., Boyd, S. 2010; 11 (2): 319-337
  • Real-Time Convex Optimization in Signal Processing IEEE SIGNAL PROCESSING MAGAZINE Mattingley, J., Boyd, S. 2010; 27 (3): 50-61
  • Mixed linear system estimation and identification SIGNAL PROCESSING Zymnis, A., Boyd, S., Gorinevsky, D. 2010; 90 (3): 966-971
  • Fast Model Predictive Control Using Online Optimization IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY Wang, Y., Boyd, S. 2010; 18 (2): 267-278
  • Compressed Sensing With Quantized Measurements IEEE SIGNAL PROCESSING LETTERS Zymnis, A., Boyd, S., Candes, E. 2010; 17 (2): 149-152
  • Adaptive Modulation in Wireless Networks with Smoothed Flow Utility 2010 IEEE GLOBAL TELECOMMUNICATIONS CONFERENCE GLOBECOM 2010 Akuiyibo, E., Boyd, S., O'Neill, D. 2010
  • State Smoothing by Sum-of-Norms Regularization 49TH IEEE CONFERENCE ON DECISION AND CONTROL (CDC) Ohlsson, H., Gustafsson, F., Ljung, L., Boyd, S. 2010: 2880-2885
  • Trajectory Generation Using Sum-of-Norms Regularization 49TH IEEE CONFERENCE ON DECISION AND CONTROL (CDC) Ohlsson, H., Gustafsson, F., Ljung, L., Boyd, S. 2010: 540-545
  • Optimizing Adaptive Modulation in Wireless Networks via Multi-Period Network Utility Maximization 2010 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS O'Neill, D., Akuiyibo, E., Boyd, S., Goldsmith, A. J. 2010
  • Adaptive Modulation with Smoothed Flow Utility EURASIP JOURNAL ON WIRELESS COMMUNICATIONS AND NETWORKING Akuiyibo, E., Boyd, S. 2010
  • Nonlinear Q-Design for Convex Stochastic Control IEEE TRANSACTIONS ON AUTOMATIC CONTROL Skaf, J., Boyd, S. 2009; 54 (10): 2426-2430
  • Processor Speed Control With Thermal Constraints IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS Mutapcic, A., Boyd, S., Murali, S., Atienza, D., De Micheli, G., Gupta, R. 2009; 56 (9): 1994-2008
  • l(1) Trend Filtering SIAM REVIEW Kim, S., Koh, K., Boyd, S., Gorinevsky, D. 2009; 51 (2): 339-360

    View details for DOI 10.1137/070690274

    View details for Web of Science ID 000266289500003

  • Relaxed maximum a posteriori fault identification SIGNAL PROCESSING Zymnis, A., Boyd, S., Gorinevsky, D. 2009; 89 (6): 989-999
  • Genetic network identification using convex programming IET SYSTEMS BIOLOGY Julius, A., Zavlanos, M., Boyd, S., Pappas, G. J. 2009; 3 (3): 155-166

    Abstract

    Gene regulatory networks capture interactions between genes and other cell substances, resulting in various models for the fundamental biological process of transcription and translation. The expression levels of the genes are typically measured as mRNA concentration in micro-array experiments. In a so-called genetic perturbation experiment, small perturbations are applied to equilibrium states and the resulting changes in expression activity are measured. One of the most important problems in systems biology is to use these data to identify the interaction pattern between genes in a regulatory network, especially in a large scale network. The authors develop a novel algorithm for identifying the smallest genetic network that explains genetic perturbation experimental data. By construction, our identification algorithm is able to incorporate and respect a priori knowledge known about the network structure. A priori biological knowledge is typically qualitative, encoding whether one gene affects another gene or not, or whether the effect is positive or negative. The method is based on a convex programming relaxation of the combinatorially hard problem of L(0) minimisation. The authors apply the proposed method to the identification of a subnetwork of the SOS pathway in Escherichia coli, the segmentation polarity network in Drosophila melanogaster, and an artificial network for measuring the performance of the method.

    View details for DOI 10.1049/iet-syb.2008.0130

    View details for Web of Science ID 000267060600003

    View details for PubMedID 19449976

  • Regular Analog/RF Integrated Circuits Design Using Optimization With Recourse Including Ellipsoidal Uncertainty IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS Xu, Y., Hsiung, K., Li, X., Pileggi, L. T., Boyd, S. P. 2009; 28 (5): 623-637
  • Performance bounds for linear stochastic control SYSTEMS & CONTROL LETTERS Wang, Y., Boyd, S. 2009; 58 (3): 178-182
  • Optimal Estimation of Deterioration From Diagnostic Image Sequence IEEE TRANSACTIONS ON SIGNAL PROCESSING Gorinevsky, D., Kim, S., Beard, S., Boyd, S., Gordon, G. 2009; 57 (3): 1030-1043
  • Analysis and Synthesis of State-Feedback Controllers With Timing Jitter IEEE TRANSACTIONS ON AUTOMATIC CONTROL Skaf, J., Boyd, S. 2009; 54 (3): 652-657
  • Convex piecewise-linear fitting OPTIMIZATION AND ENGINEERING Magnani, A., Boyd, S. P. 2009; 10 (1): 1-17
  • Sensor Selection via Convex Optimization IEEE TRANSACTIONS ON SIGNAL PROCESSING Joshi, S., Boyd, S. 2009; 57 (2): 451-462
  • FASTEST MIXING MARKOV CHAIN ON GRAPHS WITH SYMMETRIES SIAM JOURNAL ON OPTIMIZATION Boyd, S., Diaconis, P., Parrilo, P., Xiao, L. 2009; 20 (2): 792-819

    View details for DOI 10.1137/070689413

    View details for Web of Science ID 000268859300011

  • Mixed Linear System Estimation and Identification PROCEEDINGS OF THE 48TH IEEE CONFERENCE ON DECISION AND CONTROL, 2009 HELD JOINTLY WITH THE 2009 28TH CHINESE CONTROL CONFERENCE (CDC/CCC 2009) Zymnis, A., Boyd, S., Gorinevsky, D. 2009: 1501-1506
  • Subspaces that minimize the condition number of a matrix Rejecta Mathematica Joshi, S., Boyd, S. 2009; 1 (1): 4-9
  • Estimation of Faults in DC Electrical Power System 2009 AMERICAN CONTROL CONFERENCE, VOLS 1-9 Gorinevsky, D., Boyd, S., Poll, S. 2009: 4334-4339
  • Distributed Large Scale Network Utility Maximization 2009 IEEE INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY, VOLS 1- 4 Bickson, D., Tock, Y., Zymnis, A., Boyd, S. P., Dolev, D. 2009: 829-833
  • Cutting-set methods for robust convex optimization with pessimizing oracles OPTIMIZATION METHODS & SOFTWARE Mutapcic, A., Boyd, S. 2009; 24 (3): 381-406
  • An efficient method for large-scale slack allocation ENGINEERING OPTIMIZATION Joshi, S., Boyd, S. 2009; 41 (12): 1163-1176
  • Robust design of slow-light tapers in periodic waveguides ENGINEERING OPTIMIZATION Mutapcic, A., Boyd, S., Farjadpour, A., Johnson, S. G., Avniel, Y. 2009; 41 (4): 365-384
  • An Efficient Method for Large-Scale Gate Sizing IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS Joshi, S., Boyd, S. 2008; 55 (9): 2760-2773
  • Filter design with low complexity coefficients IEEE TRANSACTIONS ON SIGNAL PROCESSING Skaf, J., Boyd, S. P. 2008; 56 (7): 3162-3169
  • Tractable approximate robust geometric programming OPTIMIZATION AND ENGINEERING Hsiung, K., Kim, S., Boyd, S. 2008; 9 (2): 95-118
  • Compensation of multimode fiber dispersion using adaptive optics via convex optimization JOURNAL OF LIGHTWAVE TECHNOLOGY Panicker, R. A., Kahn, J. M., Boyd, S. P. 2008; 26 (9-12): 1295-1303
  • Robust beamforming via worst-case SINR maximization IEEE TRANSACTIONS ON SIGNAL PROCESSING Kim, S., Magnani, A., Mutapcic, A., Boyd, S. P., Luo, Z. 2008; 56 (4): 1539-1547
  • Minimizing effective resistance of a graph SIAM REVIEW Ghosh, A., Boyd, S., Saberi, A. 2008; 50 (1): 37-66

    View details for DOI 10.1137/050645452

    View details for Web of Science ID 000253646600004

  • Design of low-bandwidth spatially distributed feedback IEEE TRANSACTIONS ON AUTOMATIC CONTROL Gorinevsky, D., Boyd, S., Stein, G. 2008; 53 (1): 257-272
  • A MINIMAX THEOREM WITH APPLICATIONS TO MACHINE LEARNING, SIGNAL PROCESSING, AND FINANCE SIAM JOURNAL ON OPTIMIZATION Kim, S., Boyd, S. 2008; 19 (3): 1344-1367

    View details for DOI 10.1137/060677586

    View details for Web of Science ID 000263103900017

  • Two-fund separation under model mis-specification Working paper Kim, S., -J., Boyd, S. 2008
  • Temperature control of high-performance multi-core platforms using convex optimization 2008 DESIGN, AUTOMATION AND TEST IN EUROPE, VOLS 1-3 Murali, S., Mutapcic, A., Atienza, D., Gupta, R., Boyd, S., Benini, L., De Micheli, G. 2008: 108-113
  • Identification of stable genetic networks using convex programming 2008 AMERICAN CONTROL CONFERENCE, VOLS 1-12 Zavlanos, M. M., Julius, A. A., Boyd, S. P., Pappas, G. J. 2008: 2755-2760
  • Learning the kernel via convex optimization 2008 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING, VOLS 1-12 Kim, S., Zymnis, A., Magnani, A., Koh, K., Boyd, S. 2008: 1997-2000
  • Mixed State Estimation for a Linear Gaussian Markov Model 47TH IEEE CONFERENCE ON DECISION AND CONTROL, 2008 (CDC 2008) Zymnis, A., Boyd, S., Gorinevsky, D. 2008: 3219-3226
  • Mixed State Estimation for a Linear Gaussian Markov Model 2008 10TH INTERNATIONAL CONFERENCE ON CONTROL AUTOMATION ROBOTICS & VISION: ICARV 2008, VOLS 1-4 Zymnis, A., Boyd, S., Gorinevsky, D. 2008: 1005-1011
  • FURTHER RELAXATIONS OF THE SEMIDEFINITE PROGRAMMING APPROACH TO SENSOR NETWORK LOCALIZATION SIAM JOURNAL ON OPTIMIZATION Wang, Z., Zheng, S., Ye, Y., Boyd, S. 2008; 19 (2): 655-673

    View details for DOI 10.1137/060669395

    View details for Web of Science ID 000260849600008

  • Fast computation of optimal contact forces IEEE TRANSACTIONS ON ROBOTICS Boyd, S. P., Wegbreit, B. 2007; 23 (6): 1117-1132
  • A heuristic for optimizing stochastic activity networks with applications to statistical digital circuit sizing OPTIMIZATION AND ENGINEERING Kim, S., Boyd, S. P., Yun, S., Patil, D. D., Horowitz, M. A. 2007; 8 (4): 397-430
  • An Interior-Point Method for Large-Scale l(1)-Regularized Least Squares IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING Kim, S., Koh, K., Lustig, M., Boyd, S., Gorinevsky, D. 2007; 1 (4): 606-617
  • An interior-point method for large-scale l(1)-regularized logistic regression JOURNAL OF MACHINE LEARNING RESEARCH Koh, K., Kim, S., Boyd, S. 2007; 8: 1519-1555
  • Beamforming with uncertain weights IEEE SIGNAL PROCESSING LETTERS Mutapcic, A., Kim, S., Boyd, S. 2007; 14 (5): 348-351
  • A tutorial on geometric programming OPTIMIZATION AND ENGINEERING Boyd, S., Kim, S., Vandenberghe, L., Hassibi, A. 2007; 8 (1): 67-127
  • Generalized Chebyshev bounds via semidefinite programming SIAM REVIEW Vandenberghe, L., Boyd, S., Comanor, K. 2007; 49 (1): 52-64
  • Portfolio optimization with linear and fixed transaction costs ANNALS OF OPERATIONS RESEARCH Sousa Lobo, M., Fazel, M., Boyd, S. 2007; 152: 341-365
  • Robust efficient frontier analysis with a separable uncertainty model Working paper Kim, S., -J., Boyd, S. 2007
  • Optimal estimation of accumulating damage trend from a series of SHM images STRUCTURAL HEALTH MONITORING 2007: QUANTIFICATION, VALIDATION, AND IMPLEMENTATION, VOLS 1 AND 2 Gorinevsky, D., Kim, S., Boyd, S., Gordon, G., Beard, S., Chang, F. 2007: 1340-1346
  • An efficient method for compressed sensing 2007 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOLS 1-7 Kim, S., Koh, K., Lustig, M., Boyd, S. 2007: 1245-1248
  • Hyperspectral image unmixing via alternating projected subgradients CONFERENCE RECORD OF THE FORTY-FIRST ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS & COMPUTERS, VOLS 1-5 Zymnis, A., Kim, S., Skaf, J., Parente, M., Boyd, S. 2007: 1164-1168
  • Robust Chebyshev FIR equalization GLOBECOM 2007: 2007 IEEE GLOBAL TELECOMMUNICATIONS CONFERENCE, VOLS 1-11 Mutapcic, A., Kim, S., Boyd, S. 2007: 3074-3079
  • A minimax theorem with applications to machine learning, signal processing, and finance PROCEEDINGS OF THE 46TH IEEE CONFERENCE ON DECISION AND CONTROL, VOLS 1-14 Kim, S., Boyd, S. 2007: 5180-5187
  • An efficient method for large-scale l(1)-regularized convex loss minimization 2007 INFORMATION THEORY AND APPLICATIONS WORKSHOP Koh, K., Kim, S., Boyd, S. 2007: 221-228
  • A tractable method for robust downlink beamforming in wireless communications CONFERENCE RECORD OF THE FORTY-FIRST ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS & COMPUTERS, VOLS 1-5 Mutapcic, A., Kim, S., Boyd, S. 2007: 1224-1228
  • Distributed average consensus with least-mean-square deviation JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING Xiao, L., Boyd, S., Kim, S. 2007; 67 (1): 33-46
  • The fastest mixing Markov process on a graph and a connection to a maximum variance unfolding problem SIAM REVIEW Sun, J., Boyd, S., Xiao, L., Diaconis, P. 2006; 48 (4): 681-699
  • Upper bounds on algebraic connectivity via convex optimization LINEAR ALGEBRA AND ITS APPLICATIONS Ghosh, A., Boyd, S. 2006; 418 (2-3): 693-707
  • Optimal scaling of a gradient method for distributed resource allocation JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS Xiao, L., Boyd, S. 2006; 129 (3): 469-488
  • Randomized gossip algorithms IEEE TRANSACTIONS ON INFORMATION THEORY Boyd, S., Ghosh, A., Prabhakar, B., Shah, D. 2006; 52 (6): 2508-2530
  • Extending scope of robust optimization: Comprehensive robust counterparts of uncertain problems MATHEMATICAL PROGRAMMING Ben-Tal, A., Boyd, S., Nemirovski, A. 2006; 107 (1-2): 63-89
  • Optimization-based design and implementation of multidimensional zero-phase IIR filters IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS Gorinevsky, D., Boyd, S. 2006; 53 (2): 372-383
  • Embedded estimation of fault parameters in an unmanned aerial vehicle PROCEEDINGS OF THE 2006 IEEE INTERNATIONAL CONFERENCE ON CONTROL APPLICATIONS, VOLS 1-4 Samar, S., Gorinevsky, D., Boyd, S. P. 2006: 2082-2087
  • A space-time diffusion scheme for peer-to-peer least-squares estimation IPSN 2006: THE FIFTH INTERNATIONAL CONFERENCE ON INFORMATION PROCESSING IN SENSOR NETWORKS Xiao, L., Boyd, S., Lall, S. 2006: 168-176
  • A heuristic method for statistical digital circuit sizing DESIGN AND PROCESS INTEGRATION FOR MICROELECTRONIC MANUFACTURING IV Boyd, S., Kim, S., Patil, D., Horowitz, M. 2006; 6156

    View details for DOI 10.1117/12.657499

    View details for Web of Science ID 000238444200008

  • Fastest mixing Markov chain on a path AMERICAN MATHEMATICAL MONTHLY Boyd, S., Diaconis, P., Sun, J., Xiao, L. 2006; 113 (1): 70-74
  • Growing well-connected graphs PROCEEDINGS OF THE 45TH IEEE CONFERENCE ON DECISION AND CONTROL, VOLS 1-14 Ghosh, A., Boyd, S. 2006: 6605-6611
  • Array signal processing with robust rejection constraints via second-order cone programming 2006 FORTIETH ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS AND COMPUTERS, VOLS 1-5 Mutapcic, A., Kim, S., Boyd, S. 2006: 2267-2270
  • Optimal doping profiles via geometric programming IEEE TRANSACTIONS ON ELECTRON DEVICES Joshi, S., Boyd, S., Dutton, R. W. 2005; 52 (12): 2660-2675
  • Digital circuit optimization via geometric programming OPERATIONS RESEARCH Boyd, S. P., Kim, S. J., Patil, D. D., Horowitz, M. A. 2005; 53 (6): 899-932
  • Piecewise-affine state feedback for piecewise-affine slab systems using convex optimization SYSTEMS & CONTROL LETTERS Rodrigues, L., Boyd, S. 2005; 54 (9): 835-853
  • Robust minimum variance beamforming IEEE TRANSACTIONS ON SIGNAL PROCESSING Lorenz, R. G., Boyd, S. R. 2005; 53 (5): 1684-1696
  • Likelihood bounds for constrained estimation with uncertainty 2005 44TH IEEE CONFERENCE ON DECISION AND CONTROL & EUROPEAN CONTROL CONFERENCE, VOLS 1-8 Samar, S., Gorinevsky, D., Boyd, S. 2005: 5704-5709
  • Robust Fisher discriminant analysis Advances in Neural Information Processing Systems Kim, S., -J., Magnani, A., Boyd, S. 2005; 18: 659-666
  • On time-invariant purified-output-based discrete time control echnical report 5/2005, Minerva Optimization Center, Technion, Haifa, Israel. Ben Tal, A., Boyd, S., Nemirovski, A. 2005
  • Symmetry analysis of reversible Markov chains Internet Mathematics Boyd, S., Diaconis, P., Parrilo, P., Xiao, L. 2005; 1 (2): 31-71
  • Joint optimization of wireless communication and networked control systems SWITCHING AND LEARNING IN FEEDBACK SYSTEMS Xiao, L., Johansson, M., Hindi, H., Boyd, S., GOLDSMITH, A. 2005; 3355: 248-272
  • Tractable fitting with convex polynomials via sum-of-squares 2005 44TH IEEE CONFERENCE ON DECISION AND CONTROL & EUROPEAN CONTROL CONFERENCE, VOLS 1-8 Magnani, A., Lall, S., Boyd, S. 2005: 1672-1677
  • Power control in lognormal fading wireless channels with uptime probability specifications via robust geometric programming ACC: PROCEEDINGS OF THE 2005 AMERICAN CONTROL CONFERENCE, VOLS 1-7 Hsiung, K. L., Kim, S. J., Boyd, S. 2005: 3955-3959
  • A scheme for robust distributed sensor fusion based on average consensus 2005 FOURTH INTERNATIONAL SYMPOSIUM ON INFORMATION PROCESSING IN SENSOR NETWORKS Xiao, L., Boyd, S., Lall, S. 2005: 63-70
  • Gossip algorithms: Design, analysis and applications IEEE INFOCOM 2005: THE CONFERENCE ON COMPUTER COMMUNICATIONS, VOLS 1-4, PROCEEDINGS Boyd, S., Ghosh, A., Prabhakar, B., Shah, D. 2005: 1653-1664
  • Least-squares covariance matrix adjustment SIAM JOURNAL ON MATRIX ANALYSIS AND APPLICATIONS Boyd, S., Xiao, L. 2005; 27 (2): 532-546

    View details for DOI 10.1137/040609902

    View details for Web of Science ID 000233579300013

  • A new method for design of robust digital circuits 6TH INTERNATIONAL SYMPOSIUM ON QUALITY ELECTRONIC DESIGN, PROCEEDINGS Patil, D., Yun, S. H., Kim, S. J., Cheung, A., Horowitz, M., Boyd, S. 2005: 676-681
  • Near-optimal depth-constrained codes IEEE TRANSACTIONS ON INFORMATION THEORY Gupta, P., Prabhakar, B., Boyd, S. 2004; 50 (12): 3294-3298
  • Fastest mixing Markov chain on a graph SIAM REVIEW Boyd, S., Diaconis, P., Xiao, L. 2004; 46 (4): 667-689
  • Fast linear iterations for distributed averaging SYSTEMS & CONTROL LETTERS Xiao, L., Boyd, S. 2004; 53 (1): 65-78
  • Piecewise-affine state feedback using convex optimization PROCEEDINGS OF THE 2004 AMERICAN CONTROL CONFERENCE, VOLS 1-6 Rodrigues, L., Boyd, S. 2004: 5164-5169
  • Distributed optimization for cooperative agents: Application to formation flight 2004 43RD IEEE CONFERENCE ON DECISION AND CONTROL (CDC), VOLS 1-5 Raffard, R. L., Tomlin, C. J., Boyd, S. P. 2004: 2453-2459
  • ORACLE: Optimization with recourse of analog circuits including layout extraction 41ST DESIGN AUTOMATION CONFERENCE, PROCEEDINGS 2004 Xu, Y., Pileggi, L. T., Boyd, S. R. 2004: 151-154
  • Decomposition approach to distributed analysis of networked systems 2004 43RD IEEE CONFERENCE ON DECISION AND CONTROL (CDC), VOLS 1-5 Langbort, U., Xiao, L., D'Andrea, R., Boyd, S. 2004: 3980-3985
  • Rank minimization and applications in system theory PROCEEDINGS OF THE 2004 AMERICAN CONTROL CONFERENCE, VOLS 1-6 Fazel, M., Hindi, H., Boyd, S. 2004: 3273-3278
  • Equalization of modal dispersion in multimode fiber using spatial light modulators GLOBECOM '04: IEEE GLOBAL TELECOMMUNICATIONS CONFERENCE, VOLS 1-6 Alon, E., Stojanovic, V., Kahn, J. M., Boyd, S., Horowitz, M. 2004: 1023-1029
  • Adaptive management of network resources 2003 IEEE 58TH VEHICULAR TECHNOLOGY CONFERENCE, VOLS1-5, PROCEEDINGS ONeill, D. C., Julian, D., Boyd, S. 2004: 1929-1933
  • Analysis and optimization of randomized gossip algorithms 2004 43RD IEEE CONFERENCE ON DECISION AND CONTROL (CDC), VOLS 1-5 Boyd, S., Ghosh, A., Prabhakar, B., Shah, D. 2004: 5310-5315
  • MP-DSM: A distributed cross layer network control protocol 2004 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS, VOLS 1-7 O'Neill, D. C., Li, Y., Boyd, S. 2004: 2102-2106
  • Managing power consumption in networks on chips IEEE TRANSACTIONS ON VERY LARGE SCALE INTEGRATION (VLSI) SYSTEMS Simunic, T., Boyd, S. P., Glynn, P. 2004; 12 (1): 96-107
  • Moving horizon filter for monotonic trends 2004 43RD IEEE CONFERENCE ON DECISION AND CONTROL (CDC), VOLS 1-5 Samar, S., Gorinevsky, D., Boyd, S. 2004: 3115-3120
  • Future directions in control in an information-rich world - A summary of the report of the Panel, on Future Directions in Control, Dynamics, and Systems. IEEE CONTROL SYSTEMS MAGAZINE Murray, R. M., Astrom, K. M., Boyd, S. P., Brockett, R. W., Stein, G. 2003; 23 (2): 20-33
  • Joint optimization of communication rates and linear systems IEEE TRANSACTIONS ON AUTOMATIC CONTROL Xiao, L., Johansson, M., Hindi, H., Boyd, S., Goldsmith, A. 2003; 48 (1): 148-153
  • Control in an information rich world in Control in an Information-Rich World, in IEEE Control Systems Magazine Murray, R., Astrom, K., Boyd, S., Brockett, R., Stein, G. 2003; 2 (23): 20-33
  • Optimization-based tuning of low-bandwidth control in spatially distributed systems PROCEEDINGS OF THE 2003 AMERICAN CONTROL CONFERENCE, VOLS 1-6 Gorinevsky, D., Boyd, S., Stein, G. 2003: 2658-2663
  • Optimization of phase-locked loop circuits via geometric programming PROCEEDINGS OF THE IEEE 2003 CUSTOM INTEGRATED CIRCUITS CONFERENCE Colleran, D. M., Portmann, C., Hassibi, A., Crusius, C., Mohan, S. S., Boyd, S., Lee, T. H., Hershenson, M. D. 2003: 377-380
  • Robust minimum variance beamforming CONFERENCE RECORD OF THE THIRTY-SEVENTH ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS & COMPUTERS, VOLS 1 AND 2 Lorenz, R. G., Boyd, S. P. 2003: 1345-1352
  • Log-det heuristic for matrix rank minimization with applications to Hankel and Euclidean distance matrices PROCEEDINGS OF THE 2003 AMERICAN CONTROL CONFERENCE, VOLS 1-6 Fazel, M., Hindi, H., Boyd, S. P. 2003: 2156-2162
  • Fast linear iterations for distributed averaging 42ND IEEE CONFERENCE ON DECISION AND CONTROL, VOLS 1-6, PROCEEDINGS Xiao, L., Boyd, S. 2003: 4997-5002
  • Simultaneous routing and power allocation in CDMA wireless data networks 2003 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS, VOLS 1-5 Johansson, M., Xiao, L., Boyd, S. 2003: 51-55
  • Geometric programming dual of channel capacity 2003 IEEE INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY - PROCEEDINGS Chiang, M., Boyd, S. 2003: 291-291
  • Computing optimal uncertainty models from frequency domain data PROCEEDINGS OF THE 41ST IEEE CONFERENCE ON DECISION AND CONTROL, VOLS 1-4 Hindi, H., Seong, C. Y., Boyd, S. 2002: 2898-2905
  • Convex optimization of output link scheduling and active queue management in QoS constrained packet switches 2002 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS, VOLS 1-5, CONFERENCE PROCEEDINGS Chiang, M., Chan, B. L., Boyd, S. 2002: 2126-2130
  • An ellipsoidal approximation to the Hadamard product of ellipsoids 2002 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS I-IV, PROCEEDINGS Lorenz, R., Boyd, S. 2002: 1193-1196
  • Managing power consumption in networks on chips DESIGN, AUTOMATION AND TEST IN EUROPE CONFERENCE AND EXHIBITION, 2002 PROCEEDINGS Simunic, T., Boyd, S. 2002: 110-116
  • Efficient nonlinear optimizations of queuing systems GLOBECOM'02: IEEE GLOBAL TELECOMMUNICATIONS CONFERENCE, VOLS 1-3, CONFERENCE RECORDS Chiang, M., Sutivong, A., Boyd, S. 2002: 2425-2429
  • QoS and fairness constrained convex optimization of resource allocation for wireless cellular and ad hoc networks IEEE INFOCOM 2002: THE CONFERENCE ON COMPUTER COMMUNICATIONS, VOLS 1-3, PROCEEDINGS Julian, D., Chiang, M., O'Neill, D., Boyd, S. 2002: 477-486
  • Optimal power control in interference-limited fading wireless channels with outage-probability specifications IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS Kandukuri, S., Boyd, S. 2002; 1 (1): 46-55
  • Optimal design of a CMOS op-amp via geometric programming IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS Hershenson, M. D., Boyd, S. P., Lee, T. H. 2001; 20 (1): 1-21
  • A rank minimization heuristic with application to minimum order system approximation PROCEEDINGS OF THE 2001 AMERICAN CONTROL CONFERENCE, VOLS 1-6 Fazel, M., Hindi, H., Boyd, S. P. 2001: 4734-4739
  • Resource allocation for QoS provisioning in wireless ad hoc networks GLOBECOM '01: IEEE GLOBAL TELECOMMUNICATIONS CONFERENCE, VOLS 1-6 Chiang, M., ONEILL, D., JULIAN, D., Boyd, S. 2001: 2911-2915
  • Optimal allocation of local feedback in multistage amplifiers via geometric programming IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS Dawson, J. L., Boyd, S. P., Hershenson, M. D., Lee, T. H. 2001; 48 (1): 1-11
  • Joint optimization of communication rates and linear systems PROCEEDINGS OF THE 40TH IEEE CONFERENCE ON DECISION AND CONTROL, VOLS 1-5 Xiao, L., Johansson, M., Hindi, H., Boyd, S., Goldsmith, A. 2001: 2321-2326
  • New approaches speed up optimization of analog designs ELECTRONIC DESIGN Boyd, S. 2000; 48 (20): 62-62
  • Optimal allocation of local feedback in multistage amplifiers via geometric programming PROCEEDINGS OF THE 43RD IEEE MIDWEST SYMPOSIUM ON CIRCUITS AND SYSTEMS, VOLS I-III Dawson, J. L., Boyd, S. P., Lee, T. H., Hershenson, M. D. 2000: 530-533
  • On achieving reduced error propagation sensitivity in DFE design via convex optimization PROCEEDINGS OF THE 39TH IEEE CONFERENCE ON DECISION AND CONTROL, VOLS 1-5 Kosut, R. L., Chung, W. Z., Johnson, C. R., Boyd, S. P. 2000: 4320-4323
  • Simultaneous rate and power control in multirate multimedia CDMA systems 2000 IEEE SIXTH INTERNATIONAL SYMPOSIUM ON SPREAD SPECTRUM TECHNIQUES AND APPLICATIONS, PROCEEDINGS, VOL 1 AND 2 Kandukuri, S., Boyd, S. 2000: 570-574
  • Low-authority controller design by means of convex optimization JOURNAL OF GUIDANCE CONTROL AND DYNAMICS Hassibi, A., How, J. P., Boyd, S. P. 1999; 22 (6): 862-872
  • Simple accurate expressions for planar spiral inductances IEEE JOURNAL OF SOLID-STATE CIRCUITS Mohan, S. S., Hershenson, M. D., Boyd, S. P., Lee, T. H. 1999; 34 (10): 1419-1424
  • Crisis in scholarly publishing C-LIB subcommittee summary Report of subcommittee of the Stanford Academic Council Committee on Libraries (C-LIB), consisting of Stephen Boyd (chair), Doug Brutlag, Sam Chiu, Tim Lenoir, Assunta Pisani, and Andrew Herkovic. It was presented to C-LIB on 5/10/99, and to the Faculty Senate on 5/27/99. Boyd, S., Herkovic, A. 1999
  • Integer parameter estimation in linear models with applications to GPS IEEE TRANSACTIONS ON SIGNAL PROCESSING Hassibi, A., Boyd, S. 1998; 46 (11): 2938-2952
  • Control applications of nonlinear convex programming JOURNAL OF PROCESS CONTROL Boyd, S., Crusius, C., Hansson, A. 1998; 8 (5-6): 313-324
  • Determinant maximization with linear matrix inequality constraints SIAM JOURNAL ON MATRIX ANALYSIS AND APPLICATIONS Vandenberghe, L., Boyd, S., Wu, S. P. 1998; 19 (2): 499-533
  • Optimizing dominant time constant in RC circuits IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS Vandenberghe, L., Boyd, S., El Gamal, A. 1998; 17 (2): 110-125
  • Low-authority controller design via convex optimization PROCEEDINGS OF THE 37TH IEEE CONFERENCE ON DECISION AND CONTROL, VOLS 1-4 Hassibi, A., How, J., Boyd, S. 1998: 140-145
  • Multiobjective H-2/H-infinity-optimal control via finite dimensional Q-parametrization and linear matrix inequalities PROCEEDINGS OF THE 1998 AMERICAN CONTROL CONFERENCE, VOLS 1-6 Hindi, H. A., Hassibi, B., Boyd, S. P. 1998: 3244-3249
  • An implementation of discrete multi-tone over slowly time-varying multiple-input/multiple-output channels GLOBECOM 98: IEEE GLOBECOM 1998 - CONFERENCE RECORD, VOLS 1-6 Tehrani, A. M., Hassibi, A., Cioffi, J., Boyd, S. 1998: 2806-2811
  • Optimal temperature profiles for post-exposure bake of photo-resist METROLOGY, INSPECTION, AND PROCESS CONTROL FOR MICROLITHOGRAPHY XII Hansson, A., Boyd, S. 1998; 3332: 271-281
  • GPCAD: A tool for CMOS op-amp synthesis 1998 IEEE/ACM INTERNATIONAL CONFERENCE ON COMPUTER-AIDED DESIGN Hershenson, M. D., Boyd, S. P., Lee, T. H. 1998: 296-303
  • Robust optimal control of linear discrete-time systems using primal-dual interior-point methods PROCEEDINGS OF THE 1998 AMERICAN CONTROL CONFERENCE, VOLS 1-6 Hansson, A., Boyd, S. 1998: 183-187
  • Quadratic stabilization and control of piecewise-linear systems PROCEEDINGS OF THE 1998 AMERICAN CONTROL CONFERENCE, VOLS 1-6 Hassibi, A., Boyd, S. 1998: 3659-3664
  • Robust solutions to l(1), l(2), and l(infinity) uncertain linear approximation problems using convex optimization PROCEEDINGS OF THE 1998 AMERICAN CONTROL CONFERENCE, VOLS 1-6 Hindi, H. A., Boyd, S. P. 1998: 3487-3491
  • Synthesizing stability regions for systems with saturating actuators PROCEEDINGS OF THE 37TH IEEE CONFERENCE ON DECISION AND CONTROL, VOLS 1-4 Pare, T. E., Hindi, H., How, J. P., Boyd, S. P. 1998: 1981-1982
  • Analysis of linear systems with saturation using convex optimization PROCEEDINGS OF THE 37TH IEEE CONFERENCE ON DECISION AND CONTROL, VOLS 1-4 Hindi, H., Boyd, S. 1998: 903-908
  • Antenna array pattern synthesis via convex optimization IEEE TRANSACTIONS ON SIGNAL PROCESSING Lebret, H., Boyd, S. 1997; 45 (3): 526-532
  • Obstacle collision detection using best ellipsoid fit JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS Rimon, E., Boyd, S. P. 1997; 18 (2): 105-126
  • Optimal wire and transistor sizing for circuits with non-tree topology 1997 IEEE/ACM INTERNATIONAL CONFERENCE ON COMPUTER-AIDED DESIGN - DIGEST OF TECHNICAL PAPERS Vandenberghe, L., Boyd, S., Elgamal, A. 1997: 252-259
  • Efficient distance computation using best ellipsoid fit Journal of Intelligent and Robotic Systems, Kluwer Rimon, E., Boyd, S. 1997; 2 (18): 105-126
  • Semidefinite programming SIAM REVIEW Vandenberghe, L., Boyd, S. 1996; 38 (1): 49-95
  • Integer parameter estimation in linear models with applications to GPS PROCEEDINGS OF THE 35TH IEEE CONFERENCE ON DECISION AND CONTROL, VOLS 1-4 Hassibi, A., Boyd, S. 1996: 3245-3251
  • FIR filter design via semidefinite programming and spectral factorization PROCEEDINGS OF THE 35TH IEEE CONFERENCE ON DECISION AND CONTROL, VOLS 1-4 Wu, S. P., Boyd, S., Vandenberghe, L. 1996: 271-276
  • A PRIMAL-DUAL POTENTIAL REDUCTION METHOD FOR PROBLEMS INVOLVING MATRIX INEQUALITIES MATHEMATICAL PROGRAMMING Vandenberghe, L., Boyd, S. 1995; 69 (1): 205-236
  • EXISTENCE AND UNIQUENESS OF OPTIMAL MATRIX SCALINGS SIAM JOURNAL ON MATRIX ANALYSIS AND APPLICATIONS Balakrishnan, V., Boyd, S. 1995; 16 (1): 29-39
  • GENERALIZED ACCESS-CONTROL STRATEGIES FOR INTEGRATED SERVICES TOKEN PASSING SYSTEMS IEEE TRANSACTIONS ON COMMUNICATIONS PANG, J. W., Tobagi, F. A., Boyd, S. 1994; 42 (8): 2561-2570
  • IMPROVING STATIC PERFORMANCE ROBUSTNESS OF THERMAL PROCESSES PROCEEDINGS OF THE 33RD IEEE CONFERENCE ON DECISION AND CONTROL, VOLS 1-4 Kabuli, M. G., Kosut, R. L., Boyd, S. 1994: 62-66
  • METHOD OF CENTERS FOR MINIMIZING GENERALIZED EIGENVALUES LINEAR ALGEBRA AND ITS APPLICATIONS Boyd, S., Elghaoui, L. 1993; 188: 63-111
  • ON COMPUTING THE WORST-CASE PEAK GAIN OF LINEAR-SYSTEMS SYSTEMS & CONTROL LETTERS Balakrishnan, V., Boyd, S. 1992; 19 (4): 265-269
  • SET-MEMBERSHIP IDENTIFICATION OF SYSTEMS WITH PARAMETRIC AND NONPARAMETRIC UNCERTAINTY IEEE TRANSACTIONS ON AUTOMATIC CONTROL Kosut, R. L., Lau, M. K., Boyd, S. P. 1992; 37 (7): 929-941
  • EFFICIENT DISTANCE COMPUTATION USING BEST ELLIPSOID FIT PROCEEDINGS OF THE 1992 IEEE INTERNATIONAL SYMPOSIUM ON INTELLIGENT CONTROL Rimon, E., Boyd, S. P. 1992: 360-365
  • Branch-and-bound algorithm for computing the minimum stability degree of parameter-dependent linear systems International Journal of Robust and Nonlinear Control Balakrishnan, V., Boyd, S., Balemi, S. 1992; 4 (1): 295-317
  • MODELING AND CONTROL OF RAPID THERMAL-PROCESSING RAPID THERMAL AND INTEGRATED PROCESSING / Schaper, C., Cho, Y., Park, P., Norman, S., GYUGYI, P., HOFFMANN, G., BALEMI, S., Boyd, S., Franklin, G., KAILATH, T., Saraswat, K. 1992; 1595: 2-17
  • EXISTENCE AND UNIQUENESS OF OPTIMAL MATRIX SCALINGS PROCEEDINGS OF THE 31ST IEEE CONFERENCE ON DECISION AND CONTROL, VOLS 1-4 Balakrishnan, V., Boyd, S. 1992: 2010-2011
  • DESIGN OF STABILIZING STATE-FEEDBACK FOR DELAY SYSTEMS VIA CONVEX-OPTIMIZATION PROCEEDINGS OF THE 31ST IEEE CONFERENCE ON DECISION AND CONTROL, VOLS 1-4 Feron, E., Balakrishnan, V., Boyd, S. 1992: 147-148
  • ON COMPUTING THE WORST-CASE PEAK GAIN OF LINEAR-SYSTEMS PROCEEDINGS OF THE 31ST IEEE CONFERENCE ON DECISION AND CONTROL, VOLS 1-4 Balakrishnan, V., Boyd, S. 1992: 2191-2192
  • ON OPTIMAL SIGNAL SETS FOR DIGITAL-COMMUNICATIONS WITH FINITE PRECISION AND AMPLITUDE CONSTRAINTS IEEE TRANSACTIONS ON COMMUNICATIONS Honig, M. L., Boyd, S. P., Gopinath, B., RANTAPAA, E. 1991; 39 (2): 249-255
  • ROBUST-CONTROL DESIGN FOR ELLIPSOIDAL PLANT SET PROCEEDINGS OF THE 30TH IEEE CONFERENCE ON DECISION AND CONTROL, VOLS 1-3 Lau, M. K., Boyd, S., Kosut, R. L., Franklin, G. F. 1991: 291-296
  • IMPROVEMENT OF TEMPERATURE UNIFORMITY IN RAPID THERMAL-PROCESSING SYSTEMS USING MULTIVARIABLE CONTROL RAPID THERMAL AND INTEGRATED PROCESSING Norman, S. A., Schaper, C. D., Boyd, S. P. 1991; 224: 177-183
  • COMPUTING THE MINIMUM STABILITY DEGREE OF PARAMETER-DEPENDENT LINEAR-SYSTEMS CONTROL OF UNCERTAIN DYNAMIC SYSTEMS Balakrishnan, V., Boyd, S., BALEMI, S. 1991: 359-378
  • COMPUTATION OF THE WORST-CASE COVARIANCE FOR LINEAR-SYSTEMS WITH UNCERTAIN PARAMETERS PROCEEDINGS OF THE 30TH IEEE CONFERENCE ON DECISION AND CONTROL, VOLS 1-3 Balakrishnan, V., Boyd, S. 1991: 1941-1942
  • A REGULARITY RESULT FOR THE SINGULAR-VALUES OF A TRANSFER-MATRIX AND A QUADRATICALLY CONVERGENT ALGORITHM FOR COMPUTING ITS L-INFINITY-NORM SYSTEMS & CONTROL LETTERS Boyd, S., Balakrishnan, V. 1990; 15 (1): 1-7
  • BOUNDS ON MAXIMUM THROUGHPUT FOR DIGITAL-COMMUNICATIONS WITH FINITE-PRECISION AND AMPLITUDE CONSTRAINTS IEEE TRANSACTIONS ON INFORMATION THEORY Honig, M. L., Steiglitz, K., Gopinath, B., Boyd, S. P. 1990; 36 (3): 472-484
  • LINEAR CONTROLLER-DESIGN - LIMITS OF PERFORMANCE VIA CONVEX-OPTIMIZATION PROCEEDINGS OF THE IEEE Boyd, S., Barratt, C., Norman, S. 1990; 78 (3): 529-574
  • STABILITY ROBUSTNESS OF LINEAR-SYSTEMS TO REAL PARAMETRIC PERTURBATIONS PROCEEDINGS OF THE 29TH IEEE CONFERENCE ON DECISION AND CONTROL, VOLS 1-6 Elghaoui, L., Boyd, S. P. 1990: 1247-1248
  • A BRANCH-AND-BOUND METHODOLOGY FOR MATRIX POLYTOPE STABILITY PROBLEMS ARISING IN POWER-SYSTEMS PROCEEDINGS OF THE 29TH IEEE CONFERENCE ON DECISION AND CONTROL, VOLS 1-6 DeMarco, C. L., Balakrishnan, V., Boyd, S. 1990: 3022-3027
  • STRUCTURED AND SIMULTANEOUS LYAPUNOV FUNCTIONS FOR SYSTEM STABILITY PROBLEMS INTERNATIONAL JOURNAL OF CONTROL Boyd, S., Yang, Q. P. 1989; 49 (6): 2215-2240
  • A bisection method for computing the H_infinity-norm of a transfer matrix and related problems Mathematics of Control, Signals, and Systems Boyd, S., Balakrishnan, V., Kabamba, P. 1989; 3 (2): 207-219
  • NUMERICAL-SOLUTION OF A 2-DISK PROBLEM PROCEEDINGS OF THE 1989 AMERICAN CONTROL CONFERENCE, VOLS 1-3 Norman, S. A., Boyd, S. P. 1989: 1745-1747
  • A REGULARITY RESULT FOR THE SINGULAR-VALUES OF A TRANSFER-MATRIX AND A QUADRATICALLY CONVERGENT ALGORITHM FOR COMPUTING ITS L-INFINITY-NORM PROCEEDINGS OF THE 28TH IEEE CONFERENCE ON DECISION AND CONTROL, VOLS 1-3 Boyd, S., Balakrishnan, V. 1989: 954-955
  • EXACT TRADEOFFS IN LTI CONTROLLER-DESIGN - AN EXAMPLE PROCEEDINGS OF THE 1989 AMERICAN CONTROL CONFERENCE, VOLS 1-3 BARRATT, C. H., Boyd, S. P. 1989: 1274-1279
  • A NEW CAD METHOD AND ASSOCIATED ARCHITECTURES FOR LINEAR CONTROLLERS IEEE TRANSACTIONS ON AUTOMATIC CONTROL Boyd, S. P., Balakrishnan, V., BARRATT, C. H., KHRAISHI, N. M., Li, X. M., Meyer, D. G., Norman, S. A. 1988; 33 (3): 268-283
  • COMPARISON OF PEAK AND RMS GAINS FOR DISCRETE-TIME-SYSTEMS SYSTEMS & CONTROL LETTERS Boyd, S., Doyle, J. 1987; 9 (1): 1-6
  • NECESSARY AND SUFFICIENT CONDITIONS FOR PARAMETER CONVERGENCE IN ADAPTIVE-CONTROL AUTOMATICA Boyd, S., Sastry, S. S. 1986; 22 (6): 629-639
  • FADING MEMORY AND THE PROBLEM OF APPROXIMATING NONLINEAR OPERATORS WITH VOLTERRA SERIES IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS Boyd, S., Chua, L. O. 1985; 32 (11): 1150-1161
  • UNIQUENESS OF CIRCUITS AND SYSTEMS CONTAINING ONE NONLINEARITY IEEE TRANSACTIONS ON AUTOMATIC CONTROL Boyd, S. P., Chua, L. O. 1985; 30 (7): 674-680
  • Subharmonic Functions and Performance Bounds on Linear Time-Invariant Feedback Systems IMA JOURNAL OF MATHEMATICAL CONTROL AND INFORMATION Boyd, S., DESOER, C. A. 1985; 2 (2): 153-170
  • Analytical Foundations of Volterra Series IMA JOURNAL OF MATHEMATICAL CONTROL AND INFORMATION Boyd, S., Chua, L. O., DESOER, C. A. 1984; 1 (3): 243-282
  • ON PARAMETER CONVERGENCE IN ADAPTIVE-CONTROL SYSTEMS & CONTROL LETTERS Boyd, S., Sastry, S. 1983; 3 (6): 311-319
  • Measuring Volterra kernels IEEE Transactions on Circuits and Systems Boyd, S., Tang, Y., S., Chua, L., O. 1983; 8 (30): 571-577
  • UNIQUENESS OF A BASIC NON-LINEAR STRUCTURE IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS Boyd, S., Chua, L. O. 1983; 30 (9): 648-651
  • ON THE PASSIVITY CRITERION FOR LTI N-PORTS INTERNATIONAL JOURNAL OF CIRCUIT THEORY AND APPLICATIONS Boyd, S., Chua, L. O. 1982; 10 (4): 323-333

Books and Book Chapters


  • Automatic code generation for real-time convex optimization Convex Optimization in Signal Processing and Communications Mattingley, J., Boyd, S. edited by Eldar, Y., Palomar, D. Cambridge University Press. 2010: 1-41
  • Graph implementations for nonsmooth convex programs Recent Advances in Learning and Control (tribute to M. Vidyasagar), Lecture Notes in Control and Information Sciences Grant, M., Boyd, S. edited by Boyd, S., Kimura, H. 2008: 95–110
  • Disciplined convex programming Global Optimization: From Theory to Implementation, in the book series Nonconvex Optimization and its Applications Grant, M., Boyd, S., Ye, Y. edited by Liberti, L., Maculan, N. 2006: 155-210
  • Convex Optimization Boyd, S., Vandenberghe, L. Cambridge University Press. 2004
  • SDPSOL: a parser/solver for semidefinite programs with matrix structure Recent Advances in LMI Methods for Control Wu, S., P., Boyd, S. edited by El Ghaoui, L., Niculescu, S., I. 2000: 79-91
  • FIR filter design via spectral factorization and convex optimization Applied and Computational Control, Signals and Circuits Wu, S., P., Boyd, S., Vandenberghe, L. 1998: 215-245
  • Semidefinite programming relaxations of non-convex problems in control and combinatorial optimization Communications, Computation, Control and Signal Processing Boyd, S., Vandenberghe, L. edited by Paulraj, A., Roychowdhuri, V., Schaper, C. A Tribute to Thomas Kailath. 1997: 279-288
  • Control for advanced semiconductor device manufacturing: a case history The Control Handbook Kailath, T., Schaper, C., Cho, Y., Gyugyi, P., Norman, S., Park, P., Boyd, S. edited by Levine, W. CRC Press, Boca Raton, Fl.. 1996: 1243–1259
  • Linear Matrix Inequalities in System and Control Theory Boyd, S., El Ghaoui, L., Feron, E., Balakrishnan, V. Society for Industrial and Applied Mathematics (SIAM). 1994
  • Global optimization in control system analysis and design Control and Dynamic Systems: Advances in Theory and Aplications Balakrishnan, V., Boyd, S. edited by Leondes, C., T. Academic Press. 1993: 421-425
  • Closed-loop convex formulation of classical and singular value loop shaping Appeared as a chapter in Control and Dynamical Systems: Digital and Numeric Techniques and Their Applications in Control Systems Barratt, C., Boyd, S. 1993: 1-24
  • Linear Controller Design – Limits of Performance Boyd, S. Prentice-Hall. 1991
  • On the spectral density of some stochastic processes Open Problems in Communication and Computation Boyd, S., Hajela, D. edited by Cover, T., Gopinath, B. Springer Verlag. 1987: 191-198

Conference Proceedings


  • ECOS: An SOCP solver for embedded systems Domahidi, A., Chu, E., Boyd, S. 2013
  • Cost optimal operation of thermal energy storage system with real-time prices Kashima, T., Boyd, S. 2013
  • Code generation for embedded second-order cone programming Chu, E., Parikh, N., Domahidi, A., Boyd, S. 2013
  • Iterated approximate value functions O'Donoghue, B., Wang, Y., Boyd, S. 2013
  • Model predictive control for wind power gradients Hovgaard, T., Boyd, S., Jørgensen, J. 2013
  • PID design by convex-concave optimization Hast, M., Astrom, K., Bernhardsson, B., Boyd, S. 2013
  • Accuracy at the top Boyd, S., Cortes, C., Mohri, M., Radovanovic, A. 2012
  • An ADMM algorithm for a class of total variation regularized estimation problems Wahlberg, B., Boyd, S., Annergren, M., Wang, Y. 2012
  • Min-max approximate dynamic programming O'Donoghue, B., Wang, Y., Boyd, S. 2011
  • Scalable statistical monitoring of fleet data Chu, E., Gorinevsky, D., Boyd, S. 2011
  • Operation and configuration of a storage portfolio via convex optimization Kraning, M., Wang, Y., Akuiyibo, E., Boyd, S. 2011
  • Block splitting for large-scale distributed learning Parikh, N., Boyd, S. 2011
  • Load reduction of wind turbines using receding horizon control Soltani, M., Wisniewski, R., Brath, P., Boyd, S. 2011
  • Detecting aircraft performance anomalies from cruise flight data Chu, E., Gorinesky, D., Boyd, S. 2010
  • Optimized self-tuning for circuit aging Mintarno, E., Skaf, J., Zheng, R., Velamela, J., Cao, Y., Boyd, S. 2009
  • Wireless NUM: Rate and Reliability Tradeoffs in Random Environments O'Neill, D., Thian, B. S., Goldsmith, A., Boyd, S. IEEE. 2009: 444-449
  • Enhancing Sparsity by Reweighted l(1) Minimization Candes, E. J., Wakin, M. B., Boyd, S. P. SPRINGER. 2008: 877-905
  • Cross-Layer Design with Adaptive Modulation: Delay, Rate, and Energy Tradeoffs O'Neill, D., Goldsmith, A. J., Boyd, S. IEEE. 2008
  • Optimizing adaptive modulation in wireless networks via utility maximization O'Neill, D., Goldsmith, A. J., Boyd, S. IEEE. 2008: 3372-3377
  • Wireless Network Utility Maximization O'Neill, D., Goldsmith, A., Boyd, S. IEEE. 2008: 2314-2321
  • Temperature-aware processor frequency assignment for MPSoCs using convex optimization Murali, S., Mutapcic, A., Atienza, D., Gupta, R., Boyd, S., De Micheli, G. 2007
  • Dynamic network utility maximization with delivery contracts Trichakis, N., Zymnis, A., Boyd, S. 2007
  • Distributed estimation via dual decomposition Samar, S., Boyd, S., Gorinevsky, D. 2007
  • An interior-point method for large-scale network utility maximization Zymnis, A., Trichakis, N., Boyd, S., O'Neill, D. 2007
  • Optimal kernel selection in kernel Fisher discriminant analysis Kim, S., J., Magnani, A., Boyd, S. 2006
  • Pareto optimal linear classification Kim, S., J., Magnani, A., Samar, S., Boyd, S., Lim, J. 2006
  • Convex optimization of graph Laplacian eigenvalues Boyd, S. 2006
  • A duality view of spectral methods for dimensionality reduction Xiao, L., Sun, J., Boyd, S. 2006
  • Design tools for emerging technologies Johnson, S., Avniel, Y., White, J., Boyd, S. 2006
  • OPERA: Optimization with ellipsoidal uncertainty for robust analog IC design Xu, Y., Hsiung, K., L., Li, X., Nausieda, I., Boyd, S., Pileggi, L. 2005
  • Mixing times for random walks on geometric random graphs Boyd, S., Ghosh, A., Prabhakar, B., Shah, D. 2005
  • Geometric programming for circuit optimization Boyd, S., Kim, S., J. 2005
  • Simultaneous routing and resource allocation via dual decomposition Xiao, L., Johansson, M., Boyd, S. P. IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC. 2004: 1136-1144
  • Geometric programming duals of channel capacity and rate distortion Chiang, M., Boyd, S. IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC. 2004: 245-258
  • Designing fast distributed iterations via semidefinite programming Xiao, L., Boyd, S. 2004
  • A decomposition approach to distributed analysis of networked systems Langbort, C., Xiao, L., D'Andrea, R., Boyd, S. 2004
  • Iterative water-filling for Gaussian vector multiple-access channels Yu, W., Rhee, W. J., Boyd, S., Cioffi, J. M. IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC. 2004: 145-152
  • Simultaneous routing and resource allocation in CDMA wireless data networks Johansson, M., Xiao, L., Boyd, S. 2003
  • Throughput-centric routing algorithm design Towles, B., Dally, W., Boyd, S. 2003
  • Worst-case capacity of vector Gaussian channels Vishwanath, S., Boyd, S., Goldsmith, A. 2003
  • Robust linear programming and optimal control Vandenberghe, L., Boyd, S., Nouralishahi, M. 2002
  • Advances in convex optimization: Theory, algorithms, and applications Boyd, S., Vandenberghe, L. 2002
  • Advances in convex optimization: Interior-point methods, cone programming, and applications Boyd, S., Vandenberghe, L. 2002
  • Design of robust global power and ground networks Boyd, S., Vandenberghe, L., El Gamal, A., Yun, S. 2001
  • Bandwidth extension in CMOS with optimized on-chip inductors Mohan, S. S., Hershenson, M. D., Boyd, S. P., Lee, T. H. IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC. 2000: 346-355
  • Dynamic emission tomography - regularization and inversion Maeght, J., Noll, D., Boyd, S. 2000
  • Simutaneous rate and power control in multirate CDMA systems Kandukuri, S., Boyd, S. 2000
  • Finding ultimate limits of performance for hybrid electric vehicles Tate, E., Boyd, S. 2000
  • Applications of semidefinite programming Vandenberghe, L., Boyd, S. ELSEVIER SCIENCE BV. 1999: 283-299
  • Optimization of inductor circuits via geometric programming Hershenson, M., Mohan, S., Boyd, S., Lee, T. 1999
  • Policies for simultaneous estimation and optimization Lobo, M., Boyd, S. 1999
  • Design and optimization of LC oscillators Hershenson, M., Hajimiri, A., Mohan, S., Boyd, S., Lee, T. 1999
  • Control of asynchronous dynamical systems with rate constraints on events Hassibi, A., Boyd, S., How, J. 1999
  • A class of Lyapunov functionals for analyzing hybrid dynamical systems Hassibi, A., Boyd, S., How, J. 1999
  • A path-following method for solving BMI problems in control Hassibi, A., How, J., Boyd, S. 1999
  • Applications of second-order cone programming Lobo, M. S., Vandenberghe, L., Boyd, S., Lebret, H. ELSEVIER SCIENCE INC. 1998: 193-228
  • Control-relevant experiment design: a plant-friendly, LMI-based approach Cooley, B., Lee, J., Boyd, S. 1998
  • Connections between semi-infinite and semidefinite programming Vandenberghe, L., Boyd, S. 1998
  • A global BMI algorithm based on the generalized Benders decomposition Beran, E., Vandenberghe, L., Boyd, S. 1997
  • Design and implementation of a parser/solver for SDPs with matrix structure Wu, S. P., Boyd, S. IEEE. 1996: 240-245
  • Optimal excitation signal design for frequency domain system identification using semidefinite programming Javorzky, G., Kollar, I., Vandenberghe, L., Boyd, S., Wu, S., P. 1996
  • CRCD program: Convex optimization for engineering analysis and design Boyd, S., Vandenberghe, L. AMER AUTOMATIC CONTROL COUNCIL. 1995: 1069-1071
  • HISTORY OF LINEAR MATRIX INEQUALITIES IN CONTROL-THEORY Boyd, S., Feron, E., Balakrishnan, V., Elghaoui, L. I E E E. 1994: 31-34
  • Tradeoffs in frequency-weighted H_infinity-control Balakrishnan, V., Boyd, S. 1994
  • Efficient convex optimization for engineering design Boyd, S., Vandenberghe, L., Grant, M. 1994
  • Existence and uniqueness of optimal matrix scalings Balakrishnan, V., Boyd, S. 1994
  • CONTROL-SYSTEM ANALYSIS AND SYNTHESIS VIA LINEAR MATRIX INEQUALITIES Boyd, S., Balakrishnan, V., Feron, E., Elghaoui, L. I E E E. 1993: 2147-2154
  • Linear matrix inequalities in system and control theory Boyd, S., El Ghaoui, L., Feron, E., Balakrishnan, V. 1993
  • Control systems analysis and synthesis via linear matrix inequalities Boyd, S., Balakrishnan, V., Feron, E., El Ghaoui, L. 1993
  • A polynomial-time algorithm for determining quadratic Lyapunov functions for nonlinear systems Vandenberghe, L., Boyd, S. 1993
  • SOLVING INTERPOLATION PROBLEMS VIA GENERALIZED EIGENVALUE MINIMIZATION Balakrishnan, V., Feron, E., Boyd, S., Elghaoui, L. I E E E. 1993: 2647-2648
  • Dynamics and control of a rapid thermal multiprocessor Schaper, C., Cho, Y., Gyugyi, P., Hoffmann, G., Norman, S., Park, P., Boyd, S. 1992
  • On computing the worst-case peak gain of linear systems Balakrishnan, V., Boyd, S. 1992
  • Numerical methods for H_2 related problems Feron, E., Balakrishnan, V., Boyd, S., El Ghaoui, L. 1992
  • Multivariable feedback control of semiconductor wafer temperature Norman, S., Boyd, S. 1992
  • Computing bounds for the structured singular value via an interior point algorithm Balakrishnan, V., Feron, E., Boyd, S., El Ghaoui, L. 1992
  • Closed-loop convex analysis of performance limits for linear control systems Boyd, S., Barratt, C. 1992
  • Interactive loop-shaping design of MIMO controllers Barratt, C., Boyd, S. 1992
  • On optimal signal sets for digital communications with finite precision and amplitude constraints Honig, M., Boyd, S., Gopinath, B., Rantapaa, E. 1991, 1987
  • Robust control design for ellipsoidal plant set Lau, M., Boyd, S., Kosut, R., Franklin, G. 1991
  • Computation of the maximum H_infinity-norm of parameter-dependent linear systems by a branch and bound algorithm Balemi, S., Boyd, S., Balakrishnan, V. 1991
  • A robust control design for FIR plants with parameter set uncertainty Lau, M., Boyd, S., Kosut, R., Franklin, G. 1991
  • PARAMETER SET ESTIMATION OF SYSTEMS WITH UNCERTAIN NONPARAMETRIC DYNAMICS AND DISTURBANCES Lau, M. K., Kosut, R. L., Boyd, S. I E E E. 1990: 3162-3167
  • Identification of systems with parametric and nonparametric uncertainty Kosut, R., Lau, M., Boyd, S. 1990
  • STRUCTURED AND SIMULTANEOUS LYAPUNOV FUNCTIONS FOR SYSTEM STABILITY PROBLEMS Boyd, S., Yang, Q. P. PLENUM PRESS DIV PLENUM PUBLISHING CORP. 1989: 243-262
  • Example of exact trade-offs in linear controller design Barratt, C., Boyd, S. 1989
  • On parametric H_infinity optimization Kabamba, P., Boyd, S. 1988
  • On computing the H_infinity-norm of a transfer matrix Boyd, S., Balakrishnan, V., Kabamba, P. 1988
  • Perturbation bounds for structured robust stability Abed, E., Boyd, S. 1988
  • Design of l1 optimal controllers Pearson, J., B., Boyd, S. 1987
  • A note on the order of l1-optimal compensators Meyer, D., Boyd, S. 1986
  • A note on parametric and nonparametric uncertainties in control systems Boyd, S. 1986
  • Volterra series for nonlinear circuits Boyd, S., Chua, L., O. 1985
  • Low rate distributed quantization of noisy observations Gray, R., Boyd, S., Lookabaugh, T. 1985
  • Structures for nonlinear systems Boyd, S., Chua, L., O. 1984