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Linear convergence of first order methods for non-strongly convex optimization

Mathematical programming, 2019-05, Vol.175 (1-2), p.69-107

2019

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Stochastic block projection algorithms with extrapolation for convex feasibility problems

Optimization methods & software, 2022-09, Vol.37 (5), p.1845-1875

Necoara, I.

2022

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Complexity of first-order inexact Lagrangian and penalty methods for conic convex programming

Optimization methods & software, 2019-03, Vol.34 (2), p.305-335

2019

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Application of a Smoothing Technique to Decomposition in Convex Optimization

IEEE transactions on automatic control, 2008-12, Vol.53 (11), p.2674-2679

2008

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Iteration complexity analysis of dual first-order methods for conic convex programming

Optimization methods & software, 2016-05, Vol.31 (3), p.645-678

2016

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Constructive Solution of Inverse Parametric Linear/Quadratic Programming Problems

Journal of optimization theory and applications, 2017-02, Vol.172 (2), p.623-648

2017

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Fast inexact decomposition algorithms for large-scale separable convex optimization

Optimization, 2016-02, Vol.65 (2), p.325-356

2016

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Interior-Point Lagrangian Decomposition Method for Separable Convex Optimization

Journal of optimization theory and applications, 2009-12, Vol.143 (3), p.567-588

2009

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Every Continuous Nonlinear Control System Can be Obtained by Parametric Convex Programming

IEEE transactions on automatic control, 2008-09, Vol.53 (8), p.1963-1967

2008

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Data-Driven Loewner Matrices-Based Modeling and Model Predictive Control of a Single Machine Infinite Bus Model

2024 32nd Mediterranean Conference on Control and Automation (MED), 2024, p.610-615

2024

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Model predictive control for uncertain max-min-plus-scaling systems

International journal of control, 2008-05, Vol.81 (5), p.701-713

2008

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Finite-Horizon Min-Max Control of Max-Plus-Linear Systems

IEEE transactions on automatic control, 2007-06, Vol.52 (6), p.1088-1093

2007

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Accelerating Support Vector Machines For Remote Platforms By Increasing Sparsity

2022 12th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2022, p.1-5

2022

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Improved Dual Decomposition Based Optimization for DSL Dynamic Spectrum Management

IEEE transactions on signal processing, 2010-04, Vol.58 (4), p.2230-2245

2010

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Structural Properties of Helbing's Traffic Flow Model

Transportation research record, 2004, Vol.1883 (1), p.21-30

2004

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Parameter selection for best H moment matching-based model approximation through gradient optimization

2019 18th European Control Conference (ECC), 2019, p.2301-2306

2019

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A random coordinate descent method for large-scale resource allocation problems

2012 IEEE 51st IEEE Conference on Decision and Control (CDC), 2012, p.4474-4479

Necoara, I.

2012

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On structural properties of Helbing's gas-kinetic traffic flow model

2004 American Control Conference Proceedings; Volume 6 of 6, 2004, Vol.6, p.5508-5513 vol.6

2004

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Optimal time-domain moment matching with partial placement of poles and zeros

2020 European Control Conference (ECC), 2020, p.1769-1774

2020

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Suboptimal distributed MPC based on a block-coordinate descent method with feasibility and stability guarantees

2012 IEEE 51st IEEE Conference on Decision and Control (CDC), 2012, p.4480-4485

Necoara, I.

2012

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Structural properties of Helbing's traffic flow model: Traffic flow theory and highway capacity and quality of service 2004

Transportation research record, 2004 (1883), p.21-30

2004

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Model predictive control for perturbed continuous piecewise affine systems with bounded disturbances

2004 43rd IEEE Conference on Decision and Control (CDC) (IEEE Cat. No.04CH37601), 2004, Vol.2, p.1848-1853 Vol.2

2004

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Iteration complexity of an inexact augmented Lagrangian method for constrained MPC

2012 IEEE 51st IEEE Conference on Decision and Control (CDC), 2012, p.650-655

2012

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Inverse parametric convex programming problems via convex liftings

IFAC Proceedings Volumes, 2014, Vol.47 (3), p.2489-2494

2014

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An adaptive approximation method for Hammerstein systems identification

2012 IEEE International Conference on Control Applications, 2012, p.1002-1007

2012

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Linear convergence of first order methods for non-strongly convex optimization

Stochastic block projection algorithms with extrapolation for convex feasibility problems

Complexity of first-order inexact Lagrangian and penalty methods for conic convex programming

Application of a Smoothing Technique to Decomposition in Convex Optimization

Iteration complexity analysis of dual first-order methods for conic convex programming

Constructive Solution of Inverse Parametric Linear/Quadratic Programming Problems

Fast inexact decomposition algorithms for large-scale separable convex optimization

Interior-Point Lagrangian Decomposition Method for Separable Convex Optimization

Every Continuous Nonlinear Control System Can be Obtained by Parametric Convex Programming

Data-Driven Loewner Matrices-Based Modeling and Model Predictive Control of a Single Machine Infinite Bus Model

Model predictive control for uncertain max-min-plus-scaling systems

Finite-Horizon Min-Max Control of Max-Plus-Linear Systems

Accelerating Support Vector Machines For Remote Platforms By Increasing Sparsity

Improved Dual Decomposition Based Optimization for DSL Dynamic Spectrum Management

Structural Properties of Helbing's Traffic Flow Model

Parameter selection for best H moment matching-based model approximation through gradient optimization

A random coordinate descent method for large-scale resource allocation problems

On structural properties of Helbing's gas-kinetic traffic flow model

Optimal time-domain moment matching with partial placement of poles and zeros

Suboptimal distributed MPC based on a block-coordinate descent method with feasibility and stability guarantees

Structural properties of Helbing's traffic flow model: Traffic flow theory and highway capacity and quality of service 2004

Model predictive control for perturbed continuous piecewise affine systems with bounded disturbances

Iteration complexity of an inexact augmented Lagrangian method for constrained MPC

Inverse parametric convex programming problems via convex liftings

An adaptive approximation method for Hammerstein systems identification

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