Journal of optimization theory and applications, ISSN 1573-2878, 2015, Volume 171, Issue 2, pp. 600 - 616

... Problems Radu Ioan Bo¸ t 1 · Ernö Robert Csetnek 1 Received: 13 August 2014 / Accepted: 21 March 2015 / Published online: 31 March 2015 © Springer Science+Business...

Inertial proximal algorithm | Limiting subdifferential | Mathematics | Theory of Computation | 90C26 | Bregman distance | Tseng’s type proximal algorithm | Optimization | 90C30 | Calculus of Variations and Optimal Control; Optimization | 65K10 | Nonsmooth optimization | Applications of Mathematics | Engineering, general | Operation Research/Decision Theory | Kurdyka–Łojasiewicz inequality | MATHEMATICS, APPLIED | Kurdyka-Lojasiewicz inequality | OPERATIONS RESEARCH & MANAGEMENT SCIENCE | INEQUALITIES | MAXIMAL MONOTONE-OPERATORS | MINIMIZATION | Tseng's type proximal algorithm | CONVERGENCE | Algorithms | Studies | Regularization methods | Mathematical analysis | Convexity | Regularization | Inequalities | Convergence

Inertial proximal algorithm | Limiting subdifferential | Mathematics | Theory of Computation | 90C26 | Bregman distance | Tseng’s type proximal algorithm | Optimization | 90C30 | Calculus of Variations and Optimal Control; Optimization | 65K10 | Nonsmooth optimization | Applications of Mathematics | Engineering, general | Operation Research/Decision Theory | Kurdyka–Łojasiewicz inequality | MATHEMATICS, APPLIED | Kurdyka-Lojasiewicz inequality | OPERATIONS RESEARCH & MANAGEMENT SCIENCE | INEQUALITIES | MAXIMAL MONOTONE-OPERATORS | MINIMIZATION | Tseng's type proximal algorithm | CONVERGENCE | Algorithms | Studies | Regularization methods | Mathematical analysis | Convexity | Regularization | Inequalities | Convergence

Journal Article

Journal of optimization theory and applications, ISSN 1573-2878, 2018, Volume 182, Issue 1, pp. 110 - 132

... for Two-Block Separable Convex Optimization Problems with Linear Constraints Sandy Bitterlich1 · Radu Ioan Boţ2 · Ernö Robert Csetnek2,3 · Gert Wanka1 Received: 1...

Fenchel duality | Lagrangian | Convex optimization | Saddle points | Subdifferential | Proximal AMA | MATHEMATICS, APPLIED | OPERATIONS RESEARCH & MANAGEMENT SCIENCE | Image processing | Algorithms | Machine learning | Operators (mathematics) | Computational geometry | Mathematical analysis | Hilbert space | Convexity | Iterative methods | Optimization | Mathematical programming | 65K05 | 90C25 | 47H05

Fenchel duality | Lagrangian | Convex optimization | Saddle points | Subdifferential | Proximal AMA | MATHEMATICS, APPLIED | OPERATIONS RESEARCH & MANAGEMENT SCIENCE | Image processing | Algorithms | Machine learning | Operators (mathematics) | Computational geometry | Mathematical analysis | Hilbert space | Convexity | Iterative methods | Optimization | Mathematical programming | 65K05 | 90C25 | 47H05

Journal Article

Mathematical programming, ISSN 1436-4646, 2018, Volume 178, Issue 1-2, pp. 301 - 326

.... programming Sebastian Banert 1 · Radu Ioan Bot , 2 Received: 20 October 2016 / Accepted: 7 May 2018 / Published online: 23 May 2018 © The Author(s) 2018 Abstract...

Toland dual | 65K05 | Kurdyka–Łojasiewicz property | Theoretical, Mathematical and Computational Physics | Mathematics | 90C26 | Convergence analysis | Mathematical Methods in Physics | Calculus of Variations and Optimal Control; Optimization | Mathematics of Computing | Numerical Analysis | 49M29 | Combinatorics | d.c. programming | Proximal-gradient algorithm | MATHEMATICS, APPLIED | Kurdyka-Lojasiewicz property | COMPUTER SCIENCE, SOFTWARE ENGINEERING | OPERATIONS RESEARCH & MANAGEMENT SCIENCE | MINIMIZATION | CONVERGENCE | DUALITY | NONCONVEX | POINT ALGORITHM | Image processing | Algorithms | Operators (mathematics) | Direct current | Optimization | Linear operators | Full Length Paper

Toland dual | 65K05 | Kurdyka–Łojasiewicz property | Theoretical, Mathematical and Computational Physics | Mathematics | 90C26 | Convergence analysis | Mathematical Methods in Physics | Calculus of Variations and Optimal Control; Optimization | Mathematics of Computing | Numerical Analysis | 49M29 | Combinatorics | d.c. programming | Proximal-gradient algorithm | MATHEMATICS, APPLIED | Kurdyka-Lojasiewicz property | COMPUTER SCIENCE, SOFTWARE ENGINEERING | OPERATIONS RESEARCH & MANAGEMENT SCIENCE | MINIMIZATION | CONVERGENCE | DUALITY | NONCONVEX | POINT ALGORITHM | Image processing | Algorithms | Operators (mathematics) | Direct current | Optimization | Linear operators | Full Length Paper

Journal Article

Numerical algorithms, ISSN 1572-9265, 2015, Volume 71, Issue 3, pp. 519 - 540

... monotone inclusion problems Radu Ioan Bot ¸ 1 · Ern¨ o Robert Csetnek 1 Received: 30 June 2014 / Accepted: 11 May 2015 / Published online: 4 June 2015 © Springer...

Primal-dual algorithm | 65K05 | Subdifferential | Numeric Computing | Theory of Computation | Inertial splitting algorithm | Maximally monotone operator | Algorithms | Algebra | Resolvent | Convex optimization | 90C25 | Numerical Analysis | Computer Science | 47H05 | MATHEMATICS, APPLIED | PROXIMAL POINT ALGORITHM | COMPOSITE | CONVERGENCE | MAPPINGS | OPTIMIZATION | OPERATORS | Operators | Splitting | Image processing | Inertial | Inclusions | Optimization | Convergence

Primal-dual algorithm | 65K05 | Subdifferential | Numeric Computing | Theory of Computation | Inertial splitting algorithm | Maximally monotone operator | Algorithms | Algebra | Resolvent | Convex optimization | 90C25 | Numerical Analysis | Computer Science | 47H05 | MATHEMATICS, APPLIED | PROXIMAL POINT ALGORITHM | COMPOSITE | CONVERGENCE | MAPPINGS | OPTIMIZATION | OPERATORS | Operators | Splitting | Image processing | Inertial | Inclusions | Optimization | Convergence

Journal Article

Annals of Operations Research, ISSN 0254-5330, 11/2014, Volume 222, Issue 1, pp. 197 - 211

...Ann Oper Res (2014) 222:197–211 DOI 10.1007/s10479-012-1304-1 Regression tasks in machine learning via Fenchel duality Radu Ioan Bo¸ t · André Heinrich...

Operations Research/Decision Theory | Machine learning | Support vector regression | Theory of Computation | Conjugate duality | Combinatorics | Tikhonov regularization | Economics / Management Science | OPERATIONS RESEARCH & MANAGEMENT SCIENCE | Duality theory (Mathematics) | Research | Regression analysis | Mathematical research | Studies | Regularization methods | Artificial intelligence | Learning | Conjugates | Operations research | Tasks | Mathematical analysis | Regression | Mathematical models | Optimization

Operations Research/Decision Theory | Machine learning | Support vector regression | Theory of Computation | Conjugate duality | Combinatorics | Tikhonov regularization | Economics / Management Science | OPERATIONS RESEARCH & MANAGEMENT SCIENCE | Duality theory (Mathematics) | Research | Regression analysis | Mathematical research | Studies | Regularization methods | Artificial intelligence | Learning | Conjugates | Operations research | Tasks | Mathematical analysis | Regression | Mathematical models | Optimization

Journal Article

Journal of mathematical imaging and vision, ISSN 1573-7683, 2014, Volume 49, Issue 3, pp. 551 - 568

... to T otal V ariation Minimization Radu Ioan Bo¸ t · Christopher Hendrich Received: 12 November 2012 / Accepted: 20 December 2013 / Published online: 7 January 2014...

Mathematical Methods in Physics | Image processing | Signal, Image and Speech Processing | Computer Science | Image Processing and Computer Vision | Fenchel duality | Applications of Mathematics | Splitting method | Convergence statements | Algorithms

Mathematical Methods in Physics | Image processing | Signal, Image and Speech Processing | Computer Science | Image Processing and Computer Vision | Fenchel duality | Applications of Mathematics | Splitting method | Convergence statements | Algorithms

Journal Article

EURO journal on computational optimization, ISSN 2192-4414, 2015, Volume 4, Issue 1, pp. 3 - 25

... nonconvex functions Radu Ioan Bo¸ t 1 · Ernö Robert Csetnek 1 · Szilárd Csaba László 2 Received: 2 October 2014 / Accepted: 23 July 2015 / Published online: 4 August...

Inertial proximal algorithm | Limiting subdifferential | 90C26 | Bregman distance | Optimization | Kurdyka-Łojasiewicz inequality | Business and Management | 90C30 | 65K10 | Operations Research, Management Science | Nonsmooth optimization | Operation Research/Decision Theory | Operations Management | Studies | Computer science | Optimization algorithms | Mathematical analysis | Algorithms | Blurred | Inequalities | Mathematical models | Inertial | Regularization

Inertial proximal algorithm | Limiting subdifferential | 90C26 | Bregman distance | Optimization | Kurdyka-Łojasiewicz inequality | Business and Management | 90C30 | 65K10 | Operations Research, Management Science | Nonsmooth optimization | Operation Research/Decision Theory | Operations Management | Studies | Computer science | Optimization algorithms | Mathematical analysis | Algorithms | Blurred | Inequalities | Mathematical models | Inertial | Regularization

Journal Article

Journal of dynamics and differential equations, ISSN 1572-9222, 2015, Volume 29, Issue 1, pp. 155 - 168

...J Dyn Diff Equat (2017) 29:155–168 DOI 10.1007/s10884-015-9438-x A Dynamical System Associated with the Fixed Points Set of a Nonexpansive Operator Radu Ioan...

Lyapunov analysis | Krasnosel’skiĭ–Mann algorithm | Mathematics | Dynamical systems | 34G25 | Ordinary Differential Equations | Monotone inclusions | 90C25 | Applications of Mathematics | 47J25 | 47H05 | Partial Differential Equations | Forward–backward algorithm | MATHEMATICS | HILBERT-SPACES | MATHEMATICS, APPLIED | Krasnosel'skii-Mann algorithm | SPLITTING ALGORITHM | CONVERGENCE | Forward-backward algorithm | Analysis | Algorithms

Lyapunov analysis | Krasnosel’skiĭ–Mann algorithm | Mathematics | Dynamical systems | 34G25 | Ordinary Differential Equations | Monotone inclusions | 90C25 | Applications of Mathematics | 47J25 | 47H05 | Partial Differential Equations | Forward–backward algorithm | MATHEMATICS | HILBERT-SPACES | MATHEMATICS, APPLIED | Krasnosel'skii-Mann algorithm | SPLITTING ALGORITHM | CONVERGENCE | Forward-backward algorithm | Analysis | Algorithms

Journal Article

Optimization methods & software, ISSN 1029-4937, 2018, Volume 34, Issue 3, pp. 489 - 514

Proximal splitting algorithms for monotone inclusions (and convex optimization problems) in Hilbert spaces share the common feature to guarantee for the...

fixed points of nonexpansive mappings | forward-backward algorithm | Douglas-Rachford algorithm | primal-dual algorithm | Tikhonov regularization | splitting methods | Douglas–Rachford algorithm | forward–backward algorithm | primal–dual algorithm | MATHEMATICS, APPLIED | SET | APPROXIMATION | COMPUTER SCIENCE, SOFTWARE ENGINEERING | MONOTONE INCLUSIONS | OPERATIONS RESEARCH & MANAGEMENT SCIENCE | MINIMIZATION | Sequences | Asymptotic properties | Mapping | Inclusions | Optimization | Linear operators | Convergence | Computational geometry | Splitting | Algorithms | Hilbert space | Convexity | Iterative methods | Regularization

fixed points of nonexpansive mappings | forward-backward algorithm | Douglas-Rachford algorithm | primal-dual algorithm | Tikhonov regularization | splitting methods | Douglas–Rachford algorithm | forward–backward algorithm | primal–dual algorithm | MATHEMATICS, APPLIED | SET | APPROXIMATION | COMPUTER SCIENCE, SOFTWARE ENGINEERING | MONOTONE INCLUSIONS | OPERATIONS RESEARCH & MANAGEMENT SCIENCE | MINIMIZATION | Sequences | Asymptotic properties | Mapping | Inclusions | Optimization | Linear operators | Convergence | Computational geometry | Splitting | Algorithms | Hilbert space | Convexity | Iterative methods | Regularization

Journal Article

Computational Optimization and Applications, ISSN 0926-6003, 3/2013, Volume 54, Issue 2, pp. 239 - 262

... problems Radu Ioan Bo¸ t · Christopher Hendrich Received: 9 March 2012 / Published online: 13 December 2012 © Springer Science+Business Media New York 2012 Abstract...

Image processing | Operations Research/Decision Theory | Convex and Discrete Geometry | Fenchel duality | Mathematics | Operations Research, Management Science | Statistics, general | Fast gradient method | Regularization | Optimization | MATHEMATICS, APPLIED | OPERATIONS RESEARCH & MANAGEMENT SCIENCE | THRESHOLDING ALGORITHM | Methods | Algorithms | Studies | Regularization methods | Data smoothing | Analysis | Image processing systems | Computation | Smoothing | Mathematical analysis | Convergence

Image processing | Operations Research/Decision Theory | Convex and Discrete Geometry | Fenchel duality | Mathematics | Operations Research, Management Science | Statistics, general | Fast gradient method | Regularization | Optimization | MATHEMATICS, APPLIED | OPERATIONS RESEARCH & MANAGEMENT SCIENCE | THRESHOLDING ALGORITHM | Methods | Algorithms | Studies | Regularization methods | Data smoothing | Analysis | Image processing systems | Computation | Smoothing | Mathematical analysis | Convergence

Journal Article

11.
Full Text
An incremental mirror descent subgradient algorithm with random sweeping and proximal step

Optimization: Special Issue: German-Israeli Research Workshop on Optimization, Haifa, ISSN 0233-1934, 01/2019, Volume 68, Issue 1, pp. 33 - 50

We investigate the convergence properties of incremental mirror descent type subgradient algorithms for minimizing the sum of convex functions. In each step,...

global rate of convergence | Nonsmooth convex minimization | incremental mirror descent algorithm | random sweeping | 90C25 | 90C06 | 90C90 | MATHEMATICS, APPLIED | OPERATIONS RESEARCH & MANAGEMENT SCIENCE | Algorithms | Descent | Machine learning | Positron emission | Feasibility studies | Convergence

global rate of convergence | Nonsmooth convex minimization | incremental mirror descent algorithm | random sweeping | 90C25 | 90C06 | 90C90 | MATHEMATICS, APPLIED | OPERATIONS RESEARCH & MANAGEMENT SCIENCE | Algorithms | Descent | Machine learning | Positron emission | Feasibility studies | Convergence

Journal Article

Optimization, ISSN 1029-4945, 2018, Volume 67, Issue 7, pp. 959 - 974

We propose two forward-backward proximal point type algorithms with inertial/memory effects for determining weakly efficient solutions to a vector optimization...

forward-backward algorithms | inertial proximal algorithms | weakly efficient solutions | Vector optimization problems | forward–backward algorithms | MATHEMATICS, APPLIED | OPERATIONS RESEARCH & MANAGEMENT SCIENCE | PROXIMAL METHOD | INTERIOR | CONVERGENCE | Hilbert space | Optimization | Algorithms

forward-backward algorithms | inertial proximal algorithms | weakly efficient solutions | Vector optimization problems | forward–backward algorithms | MATHEMATICS, APPLIED | OPERATIONS RESEARCH & MANAGEMENT SCIENCE | PROXIMAL METHOD | INTERIOR | CONVERGENCE | Hilbert space | Optimization | Algorithms

Journal Article

Inverse Problems, ISSN 0266-5611, 10/2016, Volume 32, Issue 12, p. 125003

In the literature on singular perturbation (Lavrentiev regularization) for the stable approximate solution of operator equations with monotone operators in the...

linear and nonlinear operator equations in Hilbert space | local ill-posedness | Hölder and logarithmic convergence rates | singular perturbation | monotone operators | Lavrentiev regularization | conditional stability | TIKHONOV REGULARIZATION | MATHEMATICS, APPLIED | PHYSICS, MATHEMATICAL | Holder and logarithmic convergence rates | APPROXIMATE SOURCE CONDITIONS | CHOICE | INVERSE PROBLEMS | CONVERGENCE-RATES

linear and nonlinear operator equations in Hilbert space | local ill-posedness | Hölder and logarithmic convergence rates | singular perturbation | monotone operators | Lavrentiev regularization | conditional stability | TIKHONOV REGULARIZATION | MATHEMATICS, APPLIED | PHYSICS, MATHEMATICAL | Holder and logarithmic convergence rates | APPROXIMATE SOURCE CONDITIONS | CHOICE | INVERSE PROBLEMS | CONVERGENCE-RATES

Journal Article

Set-Valued and Variational Analysis, ISSN 1877-0533, 6/2018, Volume 26, Issue 2, pp. 227 - 245

... Systems with Hidden Acceleration and Hessian Driven Damping T erms Radu Ioan Bot ¸ 1 · Ern¨ o Robert Csetnek 1 Received: 4 October 2016 / Accepted: 10 April 2017...

Limiting subdifferential | Lyapunov analysis | Kurdyka-Łojasiewicz property | Probability Theory and Stochastic Processes | Mathematics | 90C26 | Dynamical systems | 34G25 | 90C30 | Analysis | 65K10 | Nonsmooth optimization | 47J25 | 47H05 | MATHEMATICS, APPLIED | INEQUALITIES | PROXIMAL ALGORITHM | SUM | Kurdyka-Lojasiewicz property | MONOTONE INCLUSIONS | MINIMIZATION | CONVERGENCE | FORWARD-BACKWARD ALGORITHM

Limiting subdifferential | Lyapunov analysis | Kurdyka-Łojasiewicz property | Probability Theory and Stochastic Processes | Mathematics | 90C26 | Dynamical systems | 34G25 | 90C30 | Analysis | 65K10 | Nonsmooth optimization | 47J25 | 47H05 | MATHEMATICS, APPLIED | INEQUALITIES | PROXIMAL ALGORITHM | SUM | Kurdyka-Lojasiewicz property | MONOTONE INCLUSIONS | MINIMIZATION | CONVERGENCE | FORWARD-BACKWARD ALGORITHM

Journal Article

The Journal of integral equations and applications, ISSN 0897-3962, 10/2010, Volume 22, Issue 3, pp. 369 - 392

Convergence rates results for Tikhonov regularization of nonlinear ill-posed operator equations in abstract function spaces require the handling of both...

Inverse problems | Nonlinearity | Hilbert spaces | Mathematical inequalities | Mathematical functions | Ill posed problems | Banach space | Variational inequalities | Distance functions | Perceptron convergence procedure | Ill-posed problems | Generalized Young inequality | Source conditions | Convergence rates | Distance function | Structure of nonlinearity | Tikhonov regularization | MATHEMATICS | MATHEMATICS, APPLIED | distance function | structure of nonlinearity | generalized Young inequality | BANACH-SPACES | source conditions | convergence rates | variational inequalities | 47J06 | 65J20 | 47A52 | 49N45

Inverse problems | Nonlinearity | Hilbert spaces | Mathematical inequalities | Mathematical functions | Ill posed problems | Banach space | Variational inequalities | Distance functions | Perceptron convergence procedure | Ill-posed problems | Generalized Young inequality | Source conditions | Convergence rates | Distance function | Structure of nonlinearity | Tikhonov regularization | MATHEMATICS | MATHEMATICS, APPLIED | distance function | structure of nonlinearity | generalized Young inequality | BANACH-SPACES | source conditions | convergence rates | variational inequalities | 47J06 | 65J20 | 47A52 | 49N45

Journal Article

Optimization, ISSN 1029-4945, 2018, Volume 68, Issue 10, pp. 1855 - 1880

We investigate a forward-backward splitting algorithm of penalty type with inertial effects for finding the zeros of the sum of a maximally monotone operator...

Maximally monotone operator | forward-backward splitting algorithm | convex bilevel optimization | Fitzpatrick function | 65K05 | forward–backward splitting algorithm | 90C25 | 47H05 | Operators (mathematics) | Algorithms | Inclusions | Convergence | Ergodic processes

Maximally monotone operator | forward-backward splitting algorithm | convex bilevel optimization | Fitzpatrick function | 65K05 | forward–backward splitting algorithm | 90C25 | 47H05 | Operators (mathematics) | Algorithms | Inclusions | Convergence | Ergodic processes

Journal Article

Journal of Mathematical Analysis and Applications, ISSN 0022-247X, 03/2016, Volume 435, Issue 2, pp. 1688 - 1700

We investigate the existence and uniqueness of (locally) absolutely continuous trajectories of a penalty term-based dynamical system associated to a...

Lyapunov analysis | Penalty schemes | Monotone inclusions | Dynamical systems | Forward–backward algorithm | Forward-backward algorithm | HILBERT-SPACES | MATHEMATICS, APPLIED | MATHEMATICS | MONOTONE INCLUSION PROBLEMS | PENALIZATION | FORWARD-BACKWARD | CONVEX MINIMIZATION | SCHEMES

Lyapunov analysis | Penalty schemes | Monotone inclusions | Dynamical systems | Forward–backward algorithm | Forward-backward algorithm | HILBERT-SPACES | MATHEMATICS, APPLIED | MATHEMATICS | MONOTONE INCLUSION PROBLEMS | PENALIZATION | FORWARD-BACKWARD | CONVEX MINIMIZATION | SCHEMES

Journal Article

SIAM JOURNAL ON OPTIMIZATION, ISSN 1052-6234, 2019, Volume 29, Issue 2, pp. 1300 - 1328

We propose a proximal algorithm for minimizing objective functions consisting of three summands: the composition of a nonsmooth function with a linear...

limiting subdifferential | MATHEMATICS, APPLIED | full splitting scheme | proximal algorithm | structured nonconvex and nonsmooth optimization | CONVERGENCE | Kurdyka-Lojasiewicz property | POINTS | ALTERNATING LINEARIZED MINIMIZATION

limiting subdifferential | MATHEMATICS, APPLIED | full splitting scheme | proximal algorithm | structured nonconvex and nonsmooth optimization | CONVERGENCE | Kurdyka-Lojasiewicz property | POINTS | ALTERNATING LINEARIZED MINIMIZATION

Journal Article

Numerical functional analysis and optimization, ISSN 1532-2467, 2015, Volume 36, Issue 8, pp. 951 - 963

In this article, we incorporate inertial terms in the hybrid proximal-extragradient algorithm and investigate the convergence properties of the resulting...

Enlargement of a maximally monotone operator | Maximally monotone operator | Resolvent | Hybrid proximal point algorithm | Inertial splitting algorithm | MATHEMATICS, APPLIED | MAXIMAL MONOTONE-OPERATORS | CONVERGENCE | ENLARGEMENT | POINT ALGORITHM | Operators (mathematics) | Algorithms | Mathematical models | Functional analysis | Inertial | Iterative methods | Optimization | Convergence

Enlargement of a maximally monotone operator | Maximally monotone operator | Resolvent | Hybrid proximal point algorithm | Inertial splitting algorithm | MATHEMATICS, APPLIED | MAXIMAL MONOTONE-OPERATORS | CONVERGENCE | ENLARGEMENT | POINT ALGORITHM | Operators (mathematics) | Algorithms | Mathematical models | Functional analysis | Inertial | Iterative methods | Optimization | Convergence

Journal Article

Optimization, ISSN 1029-4945, 2018, Volume 68, Issue 7, pp. 1265 - 1277

We consider the minimization of a convex objective function subject to the set of minima of another convex function, under the assumption that both functions...

convex optimization | Lyapunov analysis | Dynamical systems | nonautonomous systems | Newton dynamics | MATHEMATICS, APPLIED | MAXIMAL MONOTONE-OPERATORS | EQUATIONS | ASYMPTOTIC-BEHAVIOR | OPERATIONS RESEARCH & MANAGEMENT SCIENCE | PENALIZATION | OPTIMIZATION | FORWARD-BACKWARD | CONVEX MINIMIZATION | SCHEMES | Damping | Trajectories | Optimization | Differential equations | Convergence

convex optimization | Lyapunov analysis | Dynamical systems | nonautonomous systems | Newton dynamics | MATHEMATICS, APPLIED | MAXIMAL MONOTONE-OPERATORS | EQUATIONS | ASYMPTOTIC-BEHAVIOR | OPERATIONS RESEARCH & MANAGEMENT SCIENCE | PENALIZATION | OPTIMIZATION | FORWARD-BACKWARD | CONVEX MINIMIZATION | SCHEMES | Damping | Trajectories | Optimization | Differential equations | Convergence

Journal Article