Ion Necoara

Orcid: 0000-0003-1102-2654

According to our database1, Ion Necoara authored at least 102 papers between 2004 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

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Bibliography

2024
Coordinate descent methods beyond smoothness and separability.
Comput. Optim. Appl., May, 2024

Efficiency of higher-order algorithms for minimizing composite functions.
Comput. Optim. Appl., March, 2024

Exact representation and efficient approximations of linear model predictive control laws via HardTanh type deep neural networks.
Syst. Control. Lett., 2024

Convergence analysis of stochastic higher-order majorization-minimization algorithms.
Optim. Methods Softw., 2024

Data-Driven Loewner Matrices-Based Modeling and Model Predictive Control of a Single Machine Infinite Bus Model.
Proceedings of the 32nd Mediterranean Conference on Control and Automation, 2024

Unified Analysis of Stochastic Gradient Projection Methods for Convex Optimization with Functional Constraints.
Proceedings of the European Control Conference, 2024

2023
Random Coordinate Descent Methods for Nonseparable Composite Optimization.
SIAM J. Optim., September, 2023

Acceleration and restart for the randomized Bregman-Kaczmarz method.
CoRR, 2023

An accelerated randomized Bregman-Kaczmarz method for strongly convex linearly constraint optimization.
Proceedings of the European Control Conference, 2023

Modified projected Gauss-Newton method for constrained nonlinear least-squares: application to power flow analysis.
Proceedings of the European Control Conference, 2023

Dimensionality reduction of hyperspectral images using an ICA-based stochastic second-order optimization algorithm.
Proceedings of the European Control Conference, 2023

Deep unfolding projected first order methods-based architectures: application to linear model predictive control.
Proceedings of the European Control Conference, 2023

Can random proximal coordinate descent be accelerated on nonseparable convex composite minimization problems?
Proceedings of the European Control Conference, 2023

Control of a wastewater treatment process using linear and nonlinear model predictive control.
Proceedings of the 28th IEEE International Conference on Emerging Technologies and Factory Automation, 2023

Linearized ADMM for Nonsmooth Nonconvex Optimization with Nonlinear Equality Constraints.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022
Linear Convergence of Random Dual Coordinate Descent on Nonpolyhedral Convex Problems.
Math. Oper. Res., November, 2022

Stochastic Higher-Order Independent Component Analysis for Hyperspectral Dimensionality Reduction.
IEEE Trans. Computational Imaging, 2022

Stochastic block projection algorithms with extrapolation for convex feasibility problems.
Optim. Methods Softw., 2022

Stochastic subgradient for composite convex optimization with functional constraints.
J. Mach. Learn. Res., 2022

Model reduction with pole-zero placement and high order moment matching.
Autom., 2022

Accelerating Support Vector Machines For Remote Platforms By Increasing Sparsity.
Proceedings of the 12th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2022

A Comparative Study of Compressive Sensing Algorithms for Hyperspectral Imaging Reconstruction.
Proceedings of the 14th IEEE Image, Video, and Multidimensional Signal Processing Workshop, 2022

Least squares moment matching-based model reduction using convex optimization.
Proceedings of the 26th International Conference on System Theory, Control and Computing , 2022

Coordinate projected gradient descent minimization and its application to orthogonal nonnegative matrix factorization.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021
General Convergence Analysis of Stochastic First-Order Methods for Composite Optimization.
J. Optim. Theory Appl., 2021

Minibatch stochastic subgradient-based projection algorithms for feasibility problems with convex inequalities.
Comput. Optim. Appl., 2021

Local linear convergence of stochastic higher-order methods for convex optimization.
Proceedings of the 2021 European Control Conference, 2021

Random coordinate descent methods for non-separable composite optimization.
Proceedings of the 2021 European Control Conference, 2021

2020
$H_2$ Model Reduction of Linear Network Systems by Moment Matching and Optimization.
IEEE Trans. Autom. Control., 2020

Composite convex optimization with global and local inexact oracles.
Comput. Optim. Appl., 2020

Optimal time-domain moment matching with partial placement of poles and zeros.
Proceedings of the 18th European Control Conference, 2020

A suboptimal H2 clustering-based model reduction approach for linear network systems.
Proceedings of the 18th European Control Conference, 2020

2019
Faster Randomized Block Kaczmarz Algorithms.
SIAM J. Matrix Anal. Appl., 2019

Randomized Projection Methods for Convex Feasibility: Conditioning and Convergence Rates.
SIAM J. Optim., 2019

Complexity of first-order inexact Lagrangian and penalty methods for conic convex programming.
Optim. Methods Softw., 2019

Linear convergence of first order methods for non-strongly convex optimization.
Math. Program., 2019

Almost surely constrained convex optimization.
Proceedings of the 36th International Conference on Machine Learning, 2019

Parameter selection for best H<sub>2</sub> moment matching-based model approximation through gradient optimization.
Proceedings of the 17th European Control Conference, 2019

Random gradient algorithms for convex minimization over intersection of simple sets.
Proceedings of the 17th European Control Conference, 2019

Random minibatch projection algorithms for convex feasibility problems.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

2018
On the Convergence of Inexact Projection Primal First-Order Methods for Convex Minimization.
IEEE Trans. Autom. Control., 2018

OR-SAGA: Over-relaxed stochastic average gradient mapping algorithms for finite sum minimization.
Proceedings of the 16th European Control Conference, 2018

2017
Adaptive inexact fast augmented Lagrangian methods for constrained convex optimization.
Optim. Lett., 2017

Constructive Solution of Inverse Parametric Linear/Quadratic Programming Problems.
J. Optim. Theory Appl., 2017

Random Block Coordinate Descent Methods for Linearly Constrained Optimization over Networks.
J. Optim. Theory Appl., 2017

Nonasymptotic convergence of stochastic proximal point methods for constrained convex optimization.
J. Mach. Learn. Res., 2017

2016
Parallel Random Coordinate Descent Method for Composite Minimization: Convergence Analysis and Error Bounds.
SIAM J. Optim., 2016

Iteration complexity analysis of dual first-order methods for conic convex programming.
Optim. Methods Softw., 2016

Complexity certifications of inexact projection primal gradient method for convex problems: Application to embedded MPC.
Proceedings of the 24th Mediterranean Conference on Control and Automation, 2016

Optimal voltage control for loss minimization based on sequential convex programming.
Proceedings of the IEEE PES Innovative Smart Grid Technologies Conference Europe, 2016

2015
Random Coordinate Descent Methods for ℓ<sub>0</sub> Regularized Convex Optimization.
IEEE Trans. Autom. Control., 2015

Computational complexity certification for dual gradient method: Application to embedded MPC.
Syst. Control. Lett., 2015

Efficient random coordinate descent algorithms for large-scale structured nonconvex optimization.
J. Glob. Optim., 2015

On linear convergence of a distributed dual gradient algorithm for linearly constrained separable convex problems.
Autom., 2015

A fully distributed dual gradient method with linear convergence for large-scale separable convex problems.
Proceedings of the 14th European Control Conference, 2015

Random Coordinate Descent Methods for Sparse Optimization: Application to Sparse Control.
Proceedings of the 20th International Conference on Control Systems and Computer Science, 2015

Rate of convergence analysis of a dual fast gradient method for general convex optimization.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

On the behavior of first-order penalty methods for conic constrained convex programming when Lagrange multipliers do not exist.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

DuQuad: A toolbox for solving convex quadratic programs using dual (augmented) first order algorithms.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Distributed and parallel random coordinate descent methods for huge convex programming over networks.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Parallel and distributed random coordinate descent method for convex error bound minimization.
Proceedings of the American Control Conference, 2015

2014
Rate Analysis of Inexact Dual First-Order Methods Application to Dual Decomposition.
IEEE Trans. Autom. Control., 2014

Computational Complexity of Inexact Gradient Augmented Lagrangian Methods: Application to Constrained MPC.
SIAM J. Control. Optim., 2014

Path-following gradient-based decomposition algorithms for separable convex optimization.
J. Glob. Optim., 2014

A random coordinate descent algorithm for optimization problems with composite objective function and linear coupled constraints.
Comput. Optim. Appl., 2014

On the lifting problems and their connections with piecewise affine control law design.
Proceedings of the 13th European Control Conference, 2014

A proximal alternating minimization method for ℓ0-regularized nonlinear optimization problems: application to state estimation.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

2013
Random Coordinate Descent Algorithms for Multi-Agent Convex Optimization Over Networks.
IEEE Trans. Autom. Control., 2013

An Inexact Perturbed Path-Following Method for Lagrangian Decomposition in Large-Scale Separable Convex Optimization.
SIAM J. Optim., 2013

A random coordinate descent algorithm for large-scale sparse nonconvex optimization.
Proceedings of the 12th European Control Conference, 2013

A computationally efficient parallel coordinate descent algorithm for MPC: Implementation on a PLC.
Proceedings of the 12th European Control Conference, 2013

A dual decomposition algorithm for separable nonconvex optimization using the penalty function framework.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

Linear model predictive control based on approximate optimal control inputs and constraint tightening.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

Feasible distributed MPC scheme for network systems based on an inexact dual gradient method.
Proceedings of the 9th Asian Control Conference, 2013

Distributed model predictive control of leader-follower systems using an interior point method with efficient computations.
Proceedings of the American Control Conference, 2013

2012
Iteration complexity of an inexact augmented Lagrangian method for constrained MPC.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

Suboptimal distributed MPC based on a block-coordinate descent method with feasibility and stability guarantees.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

A random coordinate descent method for large-scale resource allocation problems.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

Networked control strategies for a 3 dimensional crane.
Proceedings of the IEEE International Conference on Control Applications, 2012

An adaptive approximation method for Hammerstein systems identification.
Proceedings of the IEEE International Conference on Control Applications, 2012

2010
Improved dual decomposition based optimization for DSL dynamic spectrum management.
IEEE Trans. Signal Process., 2010

Fast primal-dual projected linear iterations for distributed consensus in constrained convex optimization.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

2009
Distributed Control over Networks Using Smoothing Techniques.
Proceedings of the Artificial Neural Networks, 2009

An improved dual decomposition approach to DSL dynamic spectrum management.
Proceedings of the 17th European Signal Processing Conference, 2009

A dual interior-point distributed algorithm for large-scale data networks optimization.
Proceedings of the 10th European Control Conference, 2009

Distributed nonlinear optimal control using sequential convex programming and smoothing techniques.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009

2008
Application of a Smoothing Technique to Decomposition in Convex Optimization.
IEEE Trans. Autom. Control., 2008

Every Continuous Nonlinear Control System Can be Obtained by Parametric Convex Programming.
IEEE Trans. Autom. Control., 2008

Model predictive control for uncertain max-min-plus-scaling systems.
Int. J. Control, 2008

Stabilization of max-plus-linear systems using model predictive control: The unconstrained case.
Autom., 2008

A proximal center-based decomposition method for multi-agent convex optimization.
Proceedings of the 47th IEEE Conference on Decision and Control, 2008

Application of the proximal center decomposition method to distributed model predictive control.
Proceedings of the 47th IEEE Conference on Decision and Control, 2008

2007
Finite-Horizon Min-Max Control of Max-Plus-Linear Systems.
IEEE Trans. Autom. Control., 2007

Stable Model Predictive Control for Constrained Max-Plus-Linear Systems.
Discret. Event Dyn. Syst., 2007

2006
Worst-case optimal control of uncertain max-plus-linear systems.
Proceedings of the 45th IEEE Conference on Decision and Control, 2006

Robust hybrid MPC applied to the design of an adaptive cruise controller for a road vehicle.
Proceedings of the 45th IEEE Conference on Decision and Control, 2006

Stable receding horizon control for max-plus-linear systems.
Proceedings of the American Control Conference, 2006

Stabilization of Max-plus-linear Systems using receding horizon control - the unconstrained Case.
Proceedings of the 2nd IFAC Conference on Analysis and Design of Hybrid Systems, 2006

2005
Robustly stabilizing MPC for perturbed PWL systems.
Proceedings of the 44th IEEE IEEE Conference on Decision and Control and 8th European Control Conference Control, 2005

On MPC for max-plus-linear systems: Analytic solution and stability.
Proceedings of the 44th IEEE IEEE Conference on Decision and Control and 8th European Control Conference Control, 2005

2004
Model predictive control for perturbed continuous piecewise affine systems with bounded disturbances.
Proceedings of the 43rd IEEE Conference on Decision and Control, 2004

On structural properties of Helbing's gas-kinetic traffic flow model.
Proceedings of the 2004 American Control Conference, 2004


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