Stephen P. Boyd – Papers & Talks
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Semantic Scholar
Papers are listed below by year of submission before they are
published, or year of publication.
2022
 Computing tighter bounds on the queens
constant via Newton's method
P. Nobel, A. Agrawal, and S. Boyd
 Portfolio optimization with cumulative prospect
theory utility via convex optimization
E. Luxenberg, P. Schiele, and S. Boyd.
 An oraclestructured bundle method
for distributed optimization
T. Parshakova, F. Zhang, and S. Boyd
 Covariance prediction via convex
optimization
S. Barratt and S. Boyd
 Modelbased 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 lowdimensional
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
 Portfolio construction as linearly constrained separable
optimization
N. Moehle, J, Gindi, S. Boyd, and M. Kochenderfer
 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
 Fitting featuredependent Markov chains
S. Barratt and S. Boyd
 Multiperiod 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
 Portfolio construction with Gaussian
mixture returns and exponential utility via convex optimization
E. Luxenberg and S. Boyd
 A lightweight multiobjective asynchronous hyperparameter
optimizer
G. Maher, S. Boyd, M. Kochenderfer, C. Matache, A. Ulitsky, S. Yukhymuk, L. Kopman
 Allocation of fungible resources via a fast
scalable price discovery method
A. Agrawal, S. Boyd, D. Narayanan, F. Kazhamiaka, and M. Zaharia
 Embedded code generation with CVXPY
M Schaller, G. Banjac, S. Diamond, A. Agrawal, B. Stellato, and S. Boyd
 Bounds on efficiency metrics in photonics
G. Angeris, T. Diamandis, J. Vuckovic, and S. Boyd
 Confidence bands for a logconcave density
G. Walther, A. Ali, X. Shen, and S. Boyd
 Signal decomposition using
masked proximal operators
B. Meyers and S. Boyd
 Minimizing oraclestructured
composite functions
X. Shen, A. Ali, and S. Boyd
 Stochastic control with affine dynamics
and extended quadratic costs
S. Barratt and S. Boyd
 Eigenstratified models
J. Tuck and S. Boyd
2021
 Incremental proximal model predictive control
X. Shen and S. Boyd
 Solving largescale 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
 Constant function market makers: Multiasset
trades via convex optimization
G. Angeris, A. Agrawal, A. Evans, T. Chitra, and S. Boyd
 Convex restrictions
in physical design
G. Angeris, J. Vuckovic, and S. Boyd
 Least squares autotuning
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
 Taxaware portfolio construction
via convex optimization
N. Moehle, M. Kochenderfer, S. Boyd, and A. Ang
 Heuristic methods and performance
bounds for photonic design
G. Angeris, J. Vuckovic, and S. Boyd
 Portfolio construction using stratified models
J. Tuck, S. Barratt, and S. Boyd
2020
 Embedded convex optimization for control
S. Boyd, A. Agrawal, and S. Barratt
 Anderson accelerated DouglasRachford 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 typeI Anderson
acceleration for nonsmooth fixedpoint iterations
J. Zhang, B. O'Donoghue, and S. Boyd
 Optimal operation of a plugin 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 loglog convex programs
A. Agrawal and S. Boyd
 Minimizing a sum of
clipped convex functions
S. Barratt, G. Angeris, and S. Boyd
 Convex optimization over riskneutral probabilities
S. Barratt, J. Tuck, and S. Boyd
 SWIFTCORE: A tool for contextspecific reconstruction of genomescale 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
mixedinteger 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
 Multiperiod 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 majorizationminimization 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
 Distributional robust Kelly gambling
Q. Sun and S. Boyd
 Endtoend optimization of optics and image
processing for achromatic extended depth of field and superresolution 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 preconditioning 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
nonasymptotic 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 covariancebased clustering of multivariate
time series data
D. Hallac, S. Vare, S. Boyd, and J. Leskovec
 Network inference via the timevarying 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 scenariobased
robust MPC
M. Wytock, N. Moehle, and S. Boyd
 Multiperiod 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 matrixfree equilibration
S. Diamond and S. Boyd
 Linear convergence and metric selection in DouglasRachford splitting and ADMM
P. Giselsson and S. Boyd
 SnapVX: A networkbased convex optimization solver
D. Hallac, C. Wong, S. Diamond, A. Sharang, R. Sosic, S. Boyd, and
J. Leskovec.
2016
 Maximum torquepercurrent 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
 Matrixfree 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 mixedinteger quadratic problems
J. Park and S. Boyd
 Disciplined multiconvex 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 convexconcave procedure
T. Lipp and S. Boyd
 Disciplined convexconcave programming
X. Shen, S. Diamond, Y. Gu, and S. Boyd
 Riskconstrained Kelly gambling
E. Busseti, E. Ryu, and S. Boyd
 Conic optimization via operator splitting and homogeneous
selfdual 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 pythonembedded 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 perspectivebased convex relaxation for switchedaffine
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 DouglasRachford 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 crowdpowered rating and filtering algorithms
A. Parameswaran, S. Boyd, H. GarciaMolina, 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 inputaffine systems
A. Keshavarz and S. Boyd
 Minimumtime speed optimization over a fixed path
T. Lipp and S. Boyd
 Proximal algorithms
N. Parikh and S. Boyd
 Performance bounds and suboptimal policies for
multiperiod investment
S. Boyd, M. Mueller, B. O'Donoghue, and Y. Wang
 Dynamic network energy management via
proximal message passing
M. Kraning, E. Chu, J. Lavaei, and S. Boyd
2013
 A primaldual 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 realtime prices
T. Kashima and S. Boyd
 PID design by convexconcave 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 secondorder
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 slowlight
photoniccrystal 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 sumofnorms regularization
H. Ohlsson, F. Gustafsson, L. Ljung, and S. Boyd
2011
 Block splitting for largescale distributed learning
N. Parikh and S. Boyd
 Performance bounds and suboptimal
policies for linear stochastic control via LMIs
Y. Wang and S. Boyd
 Minmax 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
 Selftuning for maximized lifetime energyefficiency 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 controlLyapunov
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 highspeed solvers
J. Mattingley, Y. Wang, and S. Boyd
 Inferring stable genetic networks from steadystate data
M. Zavlanos, A. Julius, S. Boyd, and G. Pappas
 Inverse design of a
threedimensional 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 ARXmodels using sumofnorms
regularization
H. Olson, L. Ljung, and S. Boyd
 Compressed sensing based
conebeam computed tomography reconstruction with a firstorder method
K. Choi, J. Wang, L. Zhu, T. Suh, S. Boyd, and L. Xing
 Realtime 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
 Shrinkinghorizon dynamic programming
J. Skaf, S. Boyd,
and A. Zeevi
 Optimizing adaptive modulation in
wireless networks via multiperiod 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 realtime 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 largescale slack
allocation
S. Joshi and S. Boyd
 Estimation of faults in DC electrical power
system
D. Gorinevsky, S. Boyd, and S. Poll
 Nonlinear Qdesign 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 selftuning 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
 Cuttingset methods for robust convex optimization
with pessimizing oracles
A. Mutapcic and S. Boyd
 Robust design of slowlight tapers in periodic
waveguides
A. Mutapcic, S. Boyd, A. Farjadpour, S. Johnson, and Y. Avniel
 Analysis and synthesis of statefeedback
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 piecewiselinear 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
 Multiperiod 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 largescale 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 worstcase 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 highperformance
multicore platforms using convex optimization
S. Murali, A. Mutapcic, D. Atienza, R. Gupta, S. Boyd, L. Benini,
and G. De Micheli
 Design of lowbandwidth spatially
distributed feedback
D. Gorinevsky, S. Boyd, and G. Stein
 Twofund separation under model
misspecification
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 realtime task systems
via geometric programming
A. Mutapcic, S. Murali, S. Boyd, R. Gupta, D.
Atienza, and G. De Micheli
 An interiorpoint method for largescale 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 interiorpoint method for largescale
l1regularized 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
 Temperatureaware 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
leastmeansquare 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 largescale l1regularized least squares
S.J. Kim,
K. Koh, M. Lustig, S. Boyd, and D. Gorinevsky
 An efficient method for largescale l1regularized
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 timevarying
metropolis weights
L. Xiao, S. Boyd, and S. Lall
 Array signal processing with robust rejection
constraints via secondorder 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 wellconnected graphs
A. Ghosh and
S. Boyd
 A spacetime diffusion scheme for peertopeer
leastsquares 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
 Optimizationbased design and implementation of
multidimensional zerophase 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
sumofsquares
A. Magnani, S. Lall, and S. Boyd
 On timeinvariant purifiedoutputbased 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
 Piecewiseaffine state feedback for
piecewiseaffine 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
 Leastsquares 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
 Nearoptimal 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
 MPDSM: 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
 Throughputcentric 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
 Logdet 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 informationrich world
R. Murray, K. Astrom, S. Boyd, R. Brockett,
and G. Stein
 Pricing and learning with uncertain
demand
M. Lobo and S. Boyd
 Worstcase capacity of vector Gaussian channels
S. Vishwanath, S. Boyd, and A. Goldsmith
 Optimization of phaselocked 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
 Optimizationbased 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: Interiorpoint 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 waterfilling 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 opamp 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
 Worstcase 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 onchip
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 CLIB
subcommittee summary
S. Boyd and A. Herkovic
 Lowauthority 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 twobit scheme for routing lookup
B.
Prabhakar, P. Gupta, and S. Boyd
 Policies for simultaneous estimation and optimization
M. Lobo and S. Boyd
 A pathfollowing 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 secondorder 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 postexposure bake of
photoresist
A. Hansson and S. Boyd
 Robust optimal control of linear
discretetime systems using primaldual interiorpoint methods
A. Hansson and
S. Boyd
 Connections between semiinfinite 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 opamp 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
 Controlrelevant experiment design: a
plantfriendly, LMIbased approach
B. Cooley, J. Lee, and S. Boyd
 Multiobjective H_2/H_infinityoptimal control via finite
dimensional Qparametrization 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 piecewiselinear
systems
A. Hassibi and S. Boyd
 An implementation of discrete multitone over slowly
timevarying multipleinput/multipleoutput 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 nonconvex
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
nontree 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 FiniteDimensional Systems
S. Boyd
 A primaldual 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
userinterfaces 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 frequencyweighted
H_infinitycontrol
V. Balakrishnan and S. Boyd
1993
 Method of centers for minimizing generalized eigenvalues
S. Boyd and L. El Ghaoui
 Closedloop 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 polynomialtime 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
 Setmembership identification of systems with
parametric and nonparametric uncertainty
R. Kosut, M. Lau, and S. Boyd
 On computing the worstcase 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 loopshaping 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
 Branchandbound algorithm for computing the minimum
stability degree of parameterdependent linear systems
V. Balakrishnan, S.
Boyd, and S. Balemi
 Closedloop convex analysis of performance
limits for linear control systems
S. Boyd and C. Barratt
1991
 Computing the minimum stability degree of
parameterdependent 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 worstcase 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_infinitynorm of
parameterdependent 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_infinitynorm
S. Boyd and V. Balakrishnan
 Numerical solution of a twodisk problem
S. Norman
and S. Boyd
 Bounds on maximum throughput for digital
communications with finiteprecision 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 tradeoffs 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_infinitynorm 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_infinitynorm 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 discretetime
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 l1optimal 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 timeinvariant 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 NPorts
S. Boyd
and L. Chua
1980
 Hausdorff measures on the line
S. Boyd
