Stephen P. Boyd – Papers & Talks

Department of Electrical Engineering, Stanford University

Semantic Scholar

Papers are listed below by year of submission before they are published, or year of publication.

2026

A note on optimal product pricing: M. Schaller and S. Boyd
Presolving for GPU-accelerated first-order LP solvers: D. Cederberg and S. Boyd
CuClarabel: GPU acceleration for a conic optimization solver: Y. Chen, D. Tse, P. Nobel, P. Goulart, and S. Boyd
Automatic generation of explicit quadratic programming solvers: M. Schaller, D. Arnstrom, A. Bemporad, and S. Boyd
Estimating price elasticity matrices: M. Schaller and S. Boyd
An operator splitting method for large-scale CVaR-constrained quadratic programs: E. Luxenberg, D. Perez-Pineiro, S. Diamond, and S. Boyd

2025

Projections onto spectral matrix cones: D. Cederberg and S. Boyd
Disciplined nonlinear programming: D. Cederberg, W. Zhang, P. Nobel, and S. Boyd
Differentiating through a quadratic cone program: Q. Healey, P. Nobel, and S. Boyd
Iteratively saturated Kalman filtering: A. Yang and S. Boyd
Learning parametric convex functions: M. Schaller, A. Bemporad, and S. Boyd
Fitting multilevel factor models: T. Parshakova, T. Hastie, and S. Boyd
Aging aware battery control via convex optimization: O. Nnorom, G. Ogut, S. Boyd, and P. Levis
Code generation for solving and differentiating through convex optimization problems: M. Schaller and S. Boyd
A tax-efficient model predictive control policy for retirement funding: K. Johansson and S. Boyd
Multiple-response agents: Fast, feasible, approximate primal recovery for dual optimization methods: T. Parshakova, Y. Bai, G. van Ryzin, and S. Boyd
Robust pareto design of GaN HEMTs for millimeter-wave applications: R. Martinez, S. Boyd, and S. Chowdhuri
A Markowitz approach to managing a dynamic basket of moving-band statistical arbitrages: K. Johansson, T. Schmelzer, and S. Boyd
Convex-concave lecture slides: S. Boyd, M. Schaller, and D. Cederberg
Simple and effective portfolio construction with crypto assets: K. Johansson and S. Boyd
Solving large multicommodity network flow problems on GPUs: F. Zhang and S. Boyd
Optimization algorithm design via electric circuits: S. Boyd, T. Parshakova, E. Ryu, and J. Suh
Finding moving-band statistical arbitrages via convex-concave optimization: K. Johansson, T. Schmelzer, and S. Boyd

2024

Overview of convex optimization: S. Boyd, G. Ogut, and K. Johansson
Large-scale GNSS spreading code optimization: A. Yang, T. Mina, S. Boyd, and G. Gao
Approximate sequential optimization for informative path planning: J. Ott, M. Kochenderfer, and S. Boyd
Compact model parameter extraction via derivative-free optimization: R. Martinez, M. Iwamoto, K. Woo, Z. Bian, R. Tinti, S. Boyd, and S. Chowdhury
Fast path planning through large collections of safe boxes: T. Marcucci, P. Nobel, R. Tedrake, and S. Boyd
Specifying and solving robust empirical risk minimization problems using CVXPY: E. Luxenberg, D. Malik, Y. Li, A. Singh, and S. Boyd
Markowitz portfolio construction at seventy: S. Boyd, K. Johansson, R. Kahn, P. Schiele, and T. Schmelzer
Efficient Shapley performance attribution for least-squares regression: L. Bell, N. Devanathan, and S. Boyd
Convex optimization in quantitative finance: S. Boyd, K. Johansson, and P. Schiele
Time dilated Bundt cake analysis of PV output: G. Ogut, B. Meyers, A. Dufour, and S. Boyd
Interpretable net load forecasting using smooth multiperiodic features: G. Ogut, B. Meyers, and S. Boyd
Exponentially weighted moving models: E. Luxenberg and S. Boyd
Robust bond portfolio construction using convex-concave saddle point optimization: E. Luxenberg, P. Schiele, and S. Boyd
Portfolio construction with Gaussian mixture returns and exponential utility via convex optimization: E. Luxenberg and S. Boyd
Convex optimization over risk-neutral probabilities: S. Barratt, J. Tuck, and S. Boyd
Polyak minorant method for convex optimization: N. Devanathan and S. Boyd
Disciplined saddle programming: P. Schiele, E. Luxenberg, and S. Boyd
Portfolio optimization with cumulative prospect theory utility via convex optimization: E. Luxenberg, P. Schiele, and S. Boyd.
Factor fitting, rank allocation, and partitioning in multilevel low rank matrices: T. Parshakova, T. Hastie, E. Darve, and S. Boyd
Implementation of an oracle-structured bundle method for distributed optimization: T. Parshakova, F. Zhang, and S. Boyd

2023

Fitting feature-dependent Markov chains: S. Barratt and S. Boyd
Tractable evaluation of Stein’s unbiased risk estimator with convex regularizers: P. Nobel, E. Candes, and S. Boyd
Value-gradient iteration with quadratic approximate value functions: A. Yang and S. Boyd
A simple method for predicting covariance matrices of financial returns: K. Johansson, M. Ogut, M. Pelger, T. Schmelzer, and S. Boyd
Covariance prediction via convex optimization: S. Barratt and S. Boyd
Portfolio construction as linearly constrained separable optimization: N. Moehle, J, Gindi, S. Boyd, and M. Kochenderfer
Home energy management with dynamic tariffs and tiered peak power charges: D. Perez-Pineiro, S. Skogestad, and S. Boyd
RSQP: Problem-specific architectural customization for accelerated convex quadratic programming: M. Wang, I. McInerney, B. Stellato, S. Boyd, and H. So.
PV fleet modeling via smooth periodic Gaussian copula: M. Ogut, B. Meyers, and S. Boyd
Computing tighter bounds on the \(n\)-queens constant via Newton's method: P. Nobel, A. Agrawal, and S. Boyd
Minimizing oracle-structured composite functions: X. Shen, A. Ali, and S. Boyd
Portfolio construction using stratified models: J. Tuck, S. Barratt, and S. Boyd
InControl podcast: Interview with Stephen Boyd: A. Padoan and S. Boyd
Signal decomposition using masked proximal operators: B. Meyers and S. Boyd
Bounds on efficiency metrics in photonics: G. Angeris, T. Diamandis, J. Vuckovic, and S. Boyd

2022

Signal decomposition via quadratic-separable optimization: L. Volpatti, B. Meyers, and S. Boyd
Allocation of fungible resources via a fast scalable price discovery method: A. Agrawal, S. Boyd, D. Narayanan, F. Kazhamiaka, and M. Zaharia
Model-based deep learning: On the intersection of deep learning and optimization: N. Schlezinger, Y. Eldar, and S. Boyd
Strategic asset allocation with illiquid alternatives: E. Luxenberg, S. Boyd, M. Kochenderfer, M. van Beek, W. Cao, S. Diamond, A. Ulitsky, K. Menda, and V. Vairavamurthy
Extracting a low-dimensional predictable time series: Y. Dong, S. J. Qin, and S. Boyd
Optimal claiming of social security benefits: S. Diamond, S. Boyd, D. Greenberg, M. Kochenderfer, and A. Ang
A general optimization framework for dynamic time warping: D. Deriso and S. Boyd
Portfolio performance attribution via Shapley value: N. Moehle, S. Boyd, and A. Ang
Multi-period liability clearing via convex optimal control: S. Barratt and S. Boyd
Optimal routing for constant function market makers: G. Angeris, A. Evans, T. Chitra, and S. Boyd
Operator splitting for adaptive radiation therapy with nonlinear health dynamics: A. Fu, L. Xing, S. Boyd
Fitting Laplacian regularized stratified Gaussian models: J. Tuck and S. Boyd
A light-weight multi-objective asynchronous hyper-parameter optimizer: G. Maher, S. Boyd, M. Kochenderfer, C. Matache, A. Ulitsky, S. Yukhymuk, L. Kopman
Embedded code generation with CVXPY: M. Schaller, G. Banjac, S. Diamond, A. Agrawal, B. Stellato, and S. Boyd
Confidence bands for a log-concave density: G. Walther, A. Ali, X. Shen, and S. Boyd
Stochastic control with affine dynamics and extended quadratic costs: S. Barratt and S. Boyd
Eigen-stratified models: J. Tuck and S. Boyd
Constant function market makers: Multi-asset trades via convex optimization: G. Angeris, A. Agrawal, A. Evans, T. Chitra, and S. Boyd

2021

Tax-aware portfolio construction via convex optimization: N. Moehle, M. Kochenderfer, S. Boyd, and A. Ang
Incremental proximal model predictive control: X. Shen and S. Boyd
Solving large-scale granular resource allocation problems efficiently with POP: D. Narayanan, F. Kazhamiaka, F. Abuzaid, P. Kraft, A. Agrawal, S. Kandula, S. Boyd, and M. Zaharia
Minimum distortion embedding: A. Agrawal, A. Ali, and S. Boyd
Dirty pixels: optimizing image classification architectures for raw sensor data: S. Diamond, V. Sitzmann, S. Boyd, G. Wetzstein, and F. Heide
A certainty equivalent Merton problem: N. Moehle and S. Boyd
Convex restrictions in physical design: G. Angeris, J. Vuckovic, and S. Boyd
Least squares auto-tuning: S. Barratt and S. Boyd
Learning convex optimization models: A. Agrawal, S. Barratt, and S. Boyd
A distributed method for fitting Laplacian regularized stratified models: J. Tuck, S. Barratt, and S. Boyd
Optimal representative sample weighting: S. Barratt, G. Angeris, and S. Boyd
Automatic repair of convex optimization problems: S. Barratt, G. Angeris, and S. Boyd
Heuristic methods and performance bounds for photonic design: G. Angeris, J. Vuckovic, and S. Boyd

2020

Embedded convex optimization for control: S. Boyd, A. Agrawal, and S. Barratt
Anderson accelerated Douglas-Rachford splitting: A. Fu, J. Zhang, and S. Boyd
Low rank forecasting: S. Barratt, Y. Dong, and S. Boyd
Sample efficient reinforcement learning with REINFORCE: J. Zhang, J. Kim, B. O'Donoghue, and S. Boyd
Disciplined quasiconvex programming: A. Agrawal and S. Boyd
Bounds for scattering from absorptionless electromagnetic structures: R. Trivedi, G. Angeris, L. Su, S. Boyd, S. Fan, and J. Vuckovic
Learning convex optimization control policies: A. Agrawal, S. Barratt, S. Boyd, and B. Stellato
Globally convergent type-I Anderson acceleration for non-smooth fixed-point iterations: J. Zhang, B. O'Donoghue, and S. Boyd
Optimal operation of a plug-in hybrid vehicle with battery thermal and degradation model: J. Kim, Y. Park, J. Fox, S. Boyd, and W. Dally
CVXR: An R Package for disciplined convex optimization: A. Fu, B. Narasimhan, and S. Boyd
Differentiating through log-log convex programs: A. Agrawal and S. Boyd
Minimizing a sum of clipped convex functions: S. Barratt, G. Angeris, and S. Boyd
SWIFTCORE: A tool for context-specific reconstruction of genome-scale metabolic networks: M. Tefagh and S. Boyd
Network optimization for unified packet and circuit switched networks: P. Yin, S. Diamond, B. Lin, and S. Boyd
OSQP: An operator splitting solver for quadratic programs: B. Stellato, G. Banjac, P. Goulart, A. Bemporad, and S. Boyd
On the convergence of mirror descent beyond stochastic convex programming: Z. Zhou, P. Mertikopoulos, N. Bambos, S. Boyd, and P. Glynn
A simple effective heuristic for embedded mixed-integer quadratic programming: R. Takapoui, N. Moehle, S. Boyd, and A. Bemporad
Fitting a linear control policy to demonstrations with a Kalman constraint: M. Palan, S. Barratt, A. McCauley, D. Sadigh, V. Sindhwani, and S. Boyd
Fitting a Kalman smoother to data: S. Barratt and S. Boyd

2019

Solution refinement at regular points of conic problems: E. Busseti, W. Moursi, and S. Boyd
Differentiable convex optimization layers: A. Agrawal, B. Amos, S. Barratt, S. Boyd, S. Diamond, and J. Zico Kolter
Multi-period portfolio selection with drawdown control: P. Nystrup, S. Boyd, E. Lindstrom, and H. Madsen
Dynamic energy management: N. Moehle, E. Busseti, S. Boyd, and M. Wytock
Greedy Gaussian segmentation of multivariate time series: D. Hallac, P. Nystrup, and S. Boyd
Learning probabilistic trajectory models of aircraft in terminal airspace from position data: S. Barratt, M. Kochenderfer, and S. Boyd
Differentiating through a cone program: A. Agrawal, S. Barratt, S. Boyd, E. Busseti, and W. Moursi
Real time radiation treatment planning with optimality guarantees via cluster and bound methods: B. Ungun, L. Xing, and S. Boyd
Infeasibility detection in the alternating direction method of multipliers for convex optimization: G. Banjac, P. Goulart, B. Stellato, and S. Boyd
Distributed majorization-minimization for Laplacian regularized problems: J. Tuck, D. Hallac, and S. Boyd
Computational bounds for photonic design: G. Angeris, J. Vuckovic, and S. Boyd
A distributed method for optimal capacity reservation: N. Moehle, X. Shen, Z.-Q. Luo, and S. Boyd
Disciplined geometric programming: A. Agrawal, S. Diamond, and S. Boyd
A convex optimization approach to radiation treatment planning with dose constraints: A. Fu, B. Ungun, L. Xing, and S. Boyd
Quantitative flux coupling analysis: M. Tefagh and S. Boyd

2018

Advances in inverse planning algorithm and strategy: M. Masoud, B. Ungun, R. Li, Y. Ye, S. Boyd, L. Xing
Distributional robust Kelly gambling: Q. Sun and S. Boyd
End-to-end optimization of optics and image processing for achromatic extended depth of field and super-resolution imaging: V. Sitzmann, S. Diamond, Y. Peng, X. Dun, S. Boyd, W. Heidrich, F. Heide, and G. Wetzstein
Fitting jump models: A. Bemporad, V. Breschi, D. Piga, and S. Boyd
A semidefinite programming method for integer convex quadratic minimization: J. Park and S. Boyd
Parameter selection and pre-conditioning for a graph form solver: C. Fougner and S. Boyd
A rewriting system for convex optimization problems: A. Agrawal, R. Verschueren, S. Diamond, and S. Boyd
Convolutional imputation of matrix networks: Q. Sun, M. Yan, D. Donoho, and S. Boyd
A general system for heuristic solution of convex problems over nonconvex sets: S. Diamond, R. Takapoui, and S. Boyd
Saturating splines and feature selection: N. Boyd, T. Hastie, S. Boyd, S. Recht, and M. Jordan

2017

Stochastic proximal iteration: A non-asymptotic improvement upon stochastic gradient descent: E. Ryu and S. Boyd
Embedded code generation using the OSQP solver: G. Banjac, B. Stellato, N. Moehle, P. Goulart, A. Bemporad 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
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
Multi-period trading via convex optimization: S. Boyd, E. Busseti, S. Diamond, R. Kahn, K. Koh, P. Nystrup, and J. Speth
General heuristics for nonconvex quadratically constrained quadratic programming: 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
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.

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
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

The science of better: Embedded optimization in smart systems: S. Boyd
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
A unified framework for 3D radiation therapy and IMRT planning: plan optimization in the beamlet domain by constraining and regularizing the fleunce map variations: B. Meng, L. Zhu, B. Widorw, S. Boyd, and L. Xing
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 H2/Hinfinity-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 of Mathematical 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

1991

Computing the minimum stability degree of parameter-dependent linear systems: V. Balakrishnan, S. Boyd, and S. Balemi
On optimal signal sets for digital communications with finite precision and amplitude constraints: M. Honig, S. Boyd, B. Gopinath, and E. Rantapaa
Computation of the worst-case covariance for linear systems with uncertain parameters: V. Balakrishnan and S. Boyd
Robust control design for ellipsoidal plant set: M. Lau, S. Boyd, R. Kosut, and G. Franklin
Computation of the maximum H_infinity-norm of parameter-dependent linear systems by a branch and bound algorithm: S. Balemi, S. Boyd, and V. Balakrishnan
A robust control design for FIR plants with parameter set uncertainty: M. Lau, S. Boyd, R. Kosut, and G. Franklin
Improvement of temperature uniformity in rapid thermal processing systems using multivariable control: S. Norman, C. Schaper, and S. Boyd

1990

A regularity result for the singular values of a transfer matrix and a quadratically convergent algorithm for computing its L_infinity-norm: S. Boyd and V. Balakrishnan
Numerical solution of a two-disk problem: S. Norman and S. Boyd
Bounds on maximum throughput for digital communications with finite-precision and amplitude constraints: M. Honig, K. Steiglitz, B. Gopinath, and S. Boyd
Linear controller design: Limits of performance via convex optimization: S. Boyd, C. Barratt, and S. Norman
Parameter set estimation of systems with uncertain nonparametric dynamics and disturbances: M. Lau, R. Kosut, and S. Boyd
Stability robustness of linear systems to real parametric perturbations: L. El Ghaoui and S. Boyd
A branch and bound methodology for matrix polytope stability problems arising in power systems: C. Demarco, S. Boyd, and V. Balakrishnan
Identification of systems with parametric and nonparametric uncertainty: R. Kosut, M. Lau, and S. Boyd

1989

Example of exact trade-offs in linear controller design: C. Barratt and S. Boyd
Structured and simultaneous Lyapunov functions for system stability problems: S. Boyd and Q. Yang
A bisection method for computing the H_infinity-norm of a transfer matrix and related problems: S. Boyd, V. Balakrishnan, and P. Kabamba

1988

A new CAD method and associated architectures for linear controllers: S. Boyd, V. Balakrishnan, C. Barratt, N. Khraishi, X. Li, D. Meyer, and S. Norman
Perturbation bounds for structured robust stability: E. Abed and S. Boyd
On parametric H_infinity optimization: P. Kabamba and S. Boyd
On computing the H_infinity-norm of a transfer matrix: S. Boyd, V. Balakrishnan, and P. Kabamba

1987

On the spectral density of some stochastic processes: S. Boyd and D. Hajela
Comparison of peak and RMS gains for discrete-time systems: S. Boyd and J. Doyle
Design of l1 optimal controllers: J. Pearson and S. Boyd

1986

Multitone signals with low crest factor: S. Boyd
Necessary and sufficient conditions for parameter convergence in adaptive control: S. Boyd and S. Sastry
A note on the order of l1-optimal compensators: D. Meyer and S. Boyd
A note on parametric and nonparametric uncertainties in control systems: S. Boyd

1985

Fading memory and the problem of approximating nonlinear operators with Volterra series: S. Boyd and L. Chua
Dynamical system state need not have spectrum: S. Boyd and L. Chua
Uniqueness of circuits and systems containing one nonlinearity: S. Boyd and L. Chua
Subharmonic functions and performance bounds on linear time-invariant feedback systems: S. Boyd and C. Desoer
Low rate distributed quantization of noisy observations: R. Gray, S. Boyd and T. Lookabaugh
Volterra series for nonlinear circuits: S. Boyd and L. Chua
Volterra series: Engineering fundamentals: S. Boyd

1984

Analytical foundations of Volterra series: S. Boyd, L. Chua, and C. Desoer
Structures for nonlinear systems: S. Boyd and L. Chua

1983

On parameter convergence in adaptive control: S. Boyd and S. Sastry
Uniqueness of a basic nonlinear structure: S. Boyd and L. Chua
Measuring Volterra kernels: S. Boyd, Y. Tang, and L. Chua

1982

On the passivity criterion for LTI N-Ports: S. Boyd and L. Chua

1980

Hausdorff measures on the line: S. Boyd