Lieven Vandenberghe
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Lieven Vandenbergheengineering Degrees
Engineering
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Applied Physics
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#421
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Electrical Engineering
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Engineering
Lieven Vandenberghe's Degrees
- PhD Electrical Engineering Stanford University
- Masters Electrical Engineering Stanford University
- Bachelors Electrical Engineering KU Leuven
Why Is Lieven Vandenberghe Influential?
(Suggest an Edit or Addition)Lieven Vandenberghe's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- Convex Optimization (2004) (40902)
- Semidefinite Programming (1996) (2397)
- Applications of second-order cone programming (1998) (1265)
- A tutorial on geometric programming (2007) (1134)
- Handbook of Semidefinite Programming (2000) (761)
- Handbook of semidefinite programming : theory, algorithms, and applications (2000) (736)
- Determinant Maximization with Linear Matrix Inequality Constraints (1998) (715)
- Interior-Point Method for Nuclear Norm Approximation with Application to System Identification (2009) (492)
- Interior-point methods (2004) (472)
- On- and off-line identification of linear state-space models (1989) (303)
- A primal—dual potential reduction method for problems involving matrix inequalities (1995) (276)
- Extended LMI characterizations for stability and performance of linear systems (2009) (213)
- Semidefinite programming duality and linear time-invariant systems (2003) (200)
- Chordal Graphs and Semidefinite Optimization (2015) (199)
- FIR filter design via semidefinite programming and spectral factorization (1996) (180)
- FIR Filter Design via Spectral Factorization and Convex Optimization (1999) (162)
- Introduction to Applied Linear Algebra (2018) (158)
- Covariance selection for nonchordal graphs via chordal embedding (2008) (140)
- Generalized Chebyshev Bounds via Semidefinite Programming (2007) (139)
- Nuclear norm system identification with missing inputs and outputs (2013) (137)
- Convex optimization problems involving finite autocorrelation sequences (2002) (124)
- Semidefinite Programming Relaxations of Non-Convex Problems in Control and Combinatorial Optimization (1997) (113)
- Interior-point methods for large-scale cone programming (2011) (108)
- Applications of semidefinite programming (1999) (104)
- Distributed Parallel Support Vector Machines in Strongly Connected Networks (2008) (100)
- A global BMI algorithm based on the generalized benders decomposition (1997) (89)
- Discrete Transforms, Semidefinite Programming, and Sum-of-Squares Representations of Nonnegative Polynomials (2006) (88)
- Topology Selection in Graphical Models of Autoregressive Processes (2010) (84)
- Reduced-Complexity Semidefinite Relaxations of Optimal Power Flow Problems (2013) (76)
- Algorithms and software for LMI problems in control (1997) (75)
- Distributed Model Predictive Control for Smart Energy Systems (2016) (73)
- Primal-Dual Decomposition by Operator Splitting and Applications to Image Deblurring (2014) (73)
- Subspace system identification via weighted nuclear norm optimization (2012) (66)
- Implementation of nonsymmetric interior-point methods for linear optimization over sparse matrix cones (2010) (65)
- ROBUST LINEAR PROGRAMMING AND OPTIMAL CONTROL (2002) (65)
- Interior-Point Algorithms for Semidefinite Programming Problems Derived from the KYP Lemma (2005) (64)
- On the equivalence of the primal-dual hybrid gradient method and Douglas–Rachford splitting (2018) (61)
- Localization and Cutting-Plane Methods (2007) (60)
- Evaluation of Fully-Integrated Switching Regulators for CMOS Process Technologies (2007) (60)
- Techniques for improving the accuracy of geometric-programming based analog circuit design optimization (2004) (59)
- MAXDET: Software for Determinant Maximization Problems User's Guide (1996) (56)
- Decomposition in Conic Optimization with Partially Separable Structure (2013) (53)
- The generalized linear complementarity problem and an algorithm to find all its solutions (1992) (50)
- Design of robust global power and ground networks (2001) (49)
- Convex Optimization in Signal Processing and Communications: Graphical models of autoregressive processes (2009) (47)
- Convex relaxations for mixed integer predictive control (2010) (47)
- Distributed Gauss-Newton method for node loclaization in wireless sensor networks (2005) (44)
- A geometrical approach for the identification of state space models with singular value decomposition (1988) (42)
- Optimizing dominant time constant in RC circuits (1998) (42)
- SOCP: Software for Second-Order Cone Programming User's Guide (1997) (39)
- Generalized KYP Lemma With Real Data (2011) (39)
- EFFICIENT CONVEX OPTIMIZATION FOR ENGINEERING DESIGN (1994) (37)
- Optimal wire and transistor sizing for circuits with non-tree topology (1997) (37)
- Graphical models of autoregressive processes (2010) (36)
- Distributed algorithm for node localization in wireless ad-hoc networks (2010) (35)
- Numerical linear algebra background (2004) (33)
- Semidefinite programming methods for system realization and identification (2009) (32)
- Variable dimension algorithms for solving resistive circuits (1990) (32)
- Convex Optimization: References (2004) (31)
- Maximum likelihood estimation of Gaussian graphical models : Numerical implementation and topology selection (2009) (30)
- Convex Piecewise-Linear Modeling Method for Circuit Optimization via Geometric Programming (2010) (30)
- Robustness and the Internet : Theoretical Foundations (2002) (30)
- Efficient solution of linear matrix inequalities for integral quadratic constraints (2000) (29)
- Connections between Semi-Infinite and Semidefinite Programming (1998) (29)
- Array Processing for Target DOA, Localization, and Classification Based on AML and SVM Algorithms in Sensor Networks (2003) (28)
- Interior-point methods for magnitude filter design (2001) (28)
- Logarithmic barriers for sparse matrix cones (2012) (28)
- Advances in Convex Optimization (2006) (25)
- Convex Optimization: Convex optimization problems (2004) (24)
- Douglas–Rachford Splitting for the Sum of a Lipschitz Continuous and a Strongly Monotone Operator (2019) (23)
- Multidimensional FIR Filter Design Via Trigonometric Sum-of-Squares Optimization (2007) (23)
- A Polynomial-time Algorithm for Determining Quadratic Lyapunov Functions for Nonlinear Systems (1993) (23)
- Relaxations applicable to mixed integer predictive control comparisons and efficient computations (2007) (22)
- A primal-dual potential reduction method for integral quadratic constraints (2001) (21)
- Inexact proximal Newton methods for self-concordant functions (2017) (21)
- Convex Optimization: Duality (2004) (20)
- On the implementation of primal-dual interior-point methods for semidefinite programming problems derived from the KYP lemma (2003) (20)
- Decomposition Methods for Sparse Matrix Nearness Problems (2015) (19)
- Connections between duality in control theory and convex optimization (1995) (19)
- Trade-Off Curves for QoS Routing (2006) (19)
- Low-rank structure in semidefinite programs derived from the KYP lemma (2007) (18)
- Handling nonnegative constraints in spectral estimation (2000) (18)
- Capacities and Optimal Input Distributions for Particle-Intensity Channels (2020) (18)
- Applications of Second-order Cone (1998) (17)
- Convex Optimization: Theory (2004) (16)
- Identification of linear state space models with singular value decomposition using Canonical correlation concepts (1989) (16)
- Optimal Splines for Rigid Motion Systems: A Convex Programming Framework (2009) (16)
- Diffusion stochastic optimization with non-smooth regularizers (2016) (15)
- Semidefinite programming duality and linear system theory: connections and implications for computation (1999) (15)
- Linear matrix inequalities with chordal sparsity patterns and applications to robust quadratic optimization (2010) (13)
- Convex optimization techniques in system identification (2012) (13)
- Bregman primal–dual first-order method and application to sparse semidefinite programming (2021) (12)
- Approximate maximum-likelihood estimation using semidefinite programming (2003) (12)
- Extensions of semidefinite programming methods for atomic decomposition (2016) (12)
- Comparison of Two Structure-Exploiting Optimization Algorithms for Integral Quadratic Constraints (2003) (12)
- Robust gate sizing via mean excess delay minimization (2008) (11)
- Energy Minimization of a QAM System (2007) (11)
- Efficient Binomial Channel Capacity Computation with an Application to Molecular Communication (2018) (10)
- Douglas-Rachford splitting for a Lipschitz continuous and a strongly monotone operator (2018) (10)
- Convex Optimization: Introduction (2004) (10)
- Interior-Point Algorithms for Sum-Of-Squares Optimization of Multidimensional Trigonometric Polynomials (2007) (10)
- Semidefinite Representations of Gauge Functions for Structured Low-Rank Matrix Decomposition (2016) (10)
- The application of the canonical correlation concept to the identification of linear state spaced models (1988) (10)
- Support vector machine training using matrix completion techniques (2010) (10)
- Total variation image deblurring with space-varying kernel (2017) (8)
- Semideenite Programming (2007) (8)
- Disjoint bilinear programming: a two-stage robust optimization perspective (2018) (8)
- Evaluation of fully-integrated switching regulators for CMOS process technologies (2003) (8)
- Centralized network utility maximization over aggregate flows (2016) (8)
- 1 Graphical models of autoregressive processes (2009) (8)
- Application of relaxation methods to the adaptive training of neural networks (1989) (7)
- ON RELAXATIONS APPLICABLE TO MODEL PREDICTIVE CONTROL FOR SYSTEMS WITH BINARY CONTROL SIGNALS (2007) (7)
- Cellular Neural Networks: Dynamic Properties and Adaptive Learning Algorithm (1990) (6)
- Piecewise-Linear Circuits and Piecewise-Linear Analysis (2018) (6)
- Optimal Excitation Signal Design For Frequency Domain System Identification Using Semidefinite Progr (1996) (6)
- Sampling method for semidefinite programmes with non-negative Popov function constraints (2014) (6)
- Decentralized large-scale power balancing (2013) (6)
- Brain-state-in-a-box neural networks with asymmetric coefficients (1989) (6)
- Approximation and fitting (2004) (6)
- Analytic Center Cutting-Plane Method (2007) (6)
- A path-following method for finding multiple equilibrium points in cellular neural networks (1992) (6)
- Entropic Proximal Operators for Nonnegative Trigonometric Polynomials (2018) (6)
- Applications of semidefinite programming in process control (2000) (5)
- Regularized Diffusion Adaptation via Conjugate Smoothing (2019) (5)
- Convex Optimization: Unconstrained minimization (2004) (5)
- Remarks on the stability of asymmetric dynamical neural networks (1990) (5)
- Maximum-likelihood estimation of autoregressive models with conditional independence constraints (2009) (5)
- Robust least-squares estimators based on semidefinite programming (2002) (5)
- Model calibration for optical lithography via semidefinite programming (2008) (5)
- Dynamic properties of neural networks (1989) (4)
- Variable dimension algorithms for solving nonlinear resistive circuits (1989) (4)
- Semidefinite Programming and Determinant Maximization (2009) (4)
- The computation of equilibrium points in cellular neural networks using complementary pivoting (1991) (3)
- Convex Optimization: Statistical estimation (2004) (3)
- Efficiently Solving Semidefinite Programs Originating from the KYP Lemma using Standard Primal-Dual Solvers (2003) (3)
- Equality constrained minimization (2004) (3)
- Convex Optimization: Preface (2004) (3)
- Error Reduction Techniques in Geometric Programming based Mixed-Mode Circuit Design Optimization (2004) (3)
- T-optimal designs for multi-factor polynomial regression models via a semidefinite relaxation method (2018) (3)
- Disjoint Bilinear Optimization: A Two-Stage Robust Optimization Perspective (2022) (3)
- Applications of Semidefinite Programming in Process (2000) (2)
- Bregman Three-Operator Splitting Methods (2022) (2)
- Multi-pitch estimation using semidefinite programming (2017) (2)
- SEMIDEFINITE PROGRAMMING AND MULTIVARIATE CHEBYSHEV BOUNDS (2006) (2)
- Optimal Linear Static Control with Moment and Yield Objectives (1997) (2)
- Recursive training methods for robust classification: a sequential analytic centering approach to the support vector machine (2003) (2)
- Maximum-likelihood estimation of multivariate normal graphical models : large-scale numerical implementation and topology selection (2)
- CRCD program: convex optimization for engineering analysis and design (1995) (2)
- A continuous Deformation Algorithm for DC-Analysis of Active nonlinear Circuits (1991) (1)
- Problems involving two quadratic functions (2004) (1)
- Improving LDPC Decoders : Informed Dynamic Message-Passing Scheduling and Multiple-Rate Code Design (2007) (1)
- Dual Decomposition for Large-Scale Power Balancing (2013) (1)
- Extended LMI characterizations for linear stability and performance (2009) (1)
- An application of semidefinite programming duality to derive bounds on the H/sub /spl infin// norm of a transfer matrix (1996) (1)
- 2. Quasi-Newton methods (2016) (1)
- Optimizing Dominant Time Constant in RC Circuits (PREPRINT) (1996) (1)
- Chapter 3: Linear and Quadratic Optimization in Electrical Engineering (2017) (1)
- Connections Between Duality in Control Theory andConvex (1995) (0)
- Computing all invariant states of a neural network (1988) (0)
- Variable dimension algorithms in the analysis of nonlinear circuits and systems (1992) (0)
- Total variation image deblurring with space-varying kernel (2017) (0)
- T-optimal designs for multi-factor polynomial regression models via a semidefinite relaxation method (2018) (0)
- DC-Analysis of active circuits by continuous deformation (1991) (0)
- Artifact rejection and missing data imputation in cerebral blood flow velocity signals via trace norm minimization (2020) (0)
- T-optimal design for multivariate polynomial regression using semidefinite programming (2018) (0)
- Reviewers of Volume 7 (1980) (0)
- Efficient numerical solution of SDPs derived from the generalized KYP lemma (2007) (0)
- On the training and the convergence of brain-state-in-a-box neural networks (1989) (0)
- Kernel optimization and distributed learning algorithms for support vector machines (2006) (0)
- Inexact proximal Newton methods for self-concordant functions (2016) (0)
- UNIVERSITY OF CALIFORNIA Los Angeles Nonlinear Model Reduction for Groundwater Flow and Solute Transport A dissertation submitted in partial satisfaction of the requirements for the degree Doctor of Philosophy in Civil Engineering by (2019) (0)
- Douglas–Rachford Splitting for the Sum of a Lipschitz Continuous and a Strongly Monotone Operator (2019) (0)
- SIP1: Acoustic Source and Wireless Sensor Node Localizations (2005) (0)
- On the equivalence of the primal-dual hybrid gradient method and Douglas–Rachford splitting (2018) (0)
- Semidefinite programming bounds on the probability of error of binary communication systems with inexactly known intersymbol interference (2005) (0)
- Bregman primal–dual first-order method and application to sparse semidefinite programming (2021) (0)
- INTERIOR-POINTALGORITHMS FOR SUM-OF-SQUARESOPTIMIZATIONOF MULTIDIMENSIONALTRIGONOMETRIC POLYNOMIALS TaeRoh* (2011) (0)
- Variable dimension algorithms in circuit theory (1991) (0)
- Linear optimization over homogeneous matrix cones (2022) (0)
- The impact of singular value decomposition in system theory, signal processing, and circuit theory (1989) (0)
- Aalborg Universitet Multi-pitch Estimation using Semidefinite Programming (2017) (0)
- Title Distributed Gauss-Newton Methodology for Node Localization in Wireless Sensor Networks (2005) (0)
- O C ] 1 N ov 2 02 2 LINEAR OPTIMIZATION OVER HOMOGENEOUS MATRIX CONES (2022) (0)
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What Schools Are Affiliated With Lieven Vandenberghe?
Lieven Vandenberghe is affiliated with the following schools:
