Sorin-Mihai Grad
Unité de Mathématiques Appliquées (UMA)
enseignant-chercheur
HDR
la personne à contacter à l'ENSTA lorsque vous avez un problème d'optimisation / the person to contact at ENSTA when you have an optimization problem
Awards & distinctions
¬ lauréat du Top 10 des scientifiques roumains de l’étranger, Gala RePatriot, Sénat roumain, 2024
¬ CIAS Senior Research Fellowship, Université Corvinus de Budapest, 2022
¬ STAR-UBB Advanced Fellowship, Université Babes-Bolyai Cluj-Napoca, 2020
HAL Publications
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New computable algorithms for smooth multiobjective optimization problems
Pré-publication, Document de travail Published on 28/08/2024 co-written by Sorin-Mihai Grad, Tibor Illés, Petra Renáta Rigó -
Proximal Point Type Algorithms with Relaxed and Inertial Effects Beyond Convexity
Article dans une revue Published on 20/03/2024 co-written by Sorin-Mihai Grad, Felipe Lara, Raul Tintaya Marcavillaca -
Relaxed-Inertial Proximal Point Algorithms for Nonconvex Equilibrium Problems with Applications
Article dans une revue Published on 31/01/2024 co-written by Sorin-Mihai Grad, Felipe Lara, Raúl Marcavillaca -
Properties and Proximal Point Type Methods for Strongly Quasiconvex Functions in Hilbert Spaces
Pré-publication, Document de travail Published on 30/12/2023 co-written by Sorin-Mihai Grad, Felipe Lara, Raul Tintaya Marcavillaca -
Beyond the Fermat Optimality Rules
Communication dans un congrès Published on 28/11/2023 co-written by Sorin-Mihai Grad, Malek Abbasi, Michel Théra -
Beyond the Fermat Optimality Rules
Communication dans un congrès Published on 09/11/2023 co-written by Sorin-Mihai Grad, Malek Abbasi, Michel Théra -
Relaxed-inertial proximal point algorithms for problems involving strongly quasiconvex functions
Communication dans un congrès Published on 23/08/2023 co-written by Sorin-Mihai Grad, Felipe Lara, Raul Tintaya Marcavillaca -
Stochastic incremental mirror descent algorithms with Nesterov smoothing
Article dans une revue Published on 03/08/2023 co-written by Sandy Bitterlich, Sorin-Mihai Grad -
Beyond the Fermat optimality rules
Pré-publication, Document de travail Published on 07/06/2023 co-written by Sorin-Mihai Grad, Malek Abbasi, Michel Théra -
Relaxed-inertial proximal point algorithms for problems involving strongly quasiconvex functions
Communication dans un congrès Published on 17/03/2023 co-written by Sorin-Mihai Grad, Felipe Lara, Raul Tintaya Marcavillaca -
Extending the proximal point algorithm beyond convexity
Communication dans un congrès Published on 19/12/2022 co-written by Sorin-Mihai Grad, Felipe Lara, Raul Tintaya Marcavillaca -
Relaxed-inertial proximal point algorithms for problems involving strongly quasiconvex functions
Communication dans un congrès Published on 29/11/2022 co-written by Sorin-Mihai Grad, Felipe Lara, Raul Tintaya Marcavillaca -
Extending the proximal point algorithm beyond convexity
Communication dans un congrès Published on 16/11/2022 co-written by Sorin-Mihai Grad, Felipe Lara, Raul Tintaya Marcavillaca -
Relaxed-inertial proximal point algorithms for problems involving strongly quasiconvex functions
Communication dans un congrès Published on 11/10/2022 co-written by Sorin-Mihai Grad, Felipe Lara, Raul Tintaya Marcavillaca -
Relaxed-inertial proximal point algorithms for problems involving strongly quasiconvex functions
Communication dans un congrès Published on 21/09/2022 co-written by Sorin-Mihai Grad, Felipe Lara, Raul Tintaya Marcavillaca -
Relaxed-inertial proximal point algorithms for problems involving strongly quasiconvex functions
Communication dans un congrès Published on 13/09/2022 co-written by Sorin-Mihai Grad, Felipe Lara, Raul Tintaya Marcavillaca -
Relaxed-inertial proximal point algorithms for problems involving strongly quasiconvex functions
Communication dans un congrès Published on 04/08/2022 co-written by Sorin-Mihai Grad, Felipe Lara, Raul Tintaya Marcavillaca -
Stochastic incremental mirror descent algorithms with Nesterov smoothing
Communication dans un congrès Published on 01/06/2022 co-written by Sorin-Mihai Grad, Sandy Bitterlich -
Extending the proximal point algorithm beyond convexity
Communication dans un congrès Published on 06/04/2022 co-written by Sorin-Mihai Grad, Felipe Lara, Raul Tintaya Marcavillaca -
Recent trends in vector optimization
Communication dans un congrès Published on 02/03/2022 by Sorin-Mihai Grad -
Stochastic incremental mirror descent algorithms with Nesterov smoothing
Communication dans un congrès Published on 19/01/2022 co-written by Sorin-Mihai Grad, Sandy Bitterlich -
Relaxed-Inertial Proximal Point Type Algorithms for Quasiconvex Minimization
Article dans une revue Published on 01/01/2022 co-written by Sorin-Mihai Grad, Felipe Lara, Raul Tintaya Marcavillaca -
Stochastic incremental mirror descent algorithms with Nesterov smoothing
Communication dans un congrès Published on 21/12/2021 co-written by Sorin-Mihai Grad, Sandy Bitterlich -
Stochastic incremental mirror descent algorithms with Nesterov smoothing
Communication dans un congrès Published on 13/12/2021 co-written by Sorin-Mihai Grad, Sandy Bitterlich -
Inducing strong convergence of trajectories in dynamical systems associated to monotone inclusions with composite structure
Communication dans un congrès Published on 30/11/2021 co-written by Sorin-Mihai Grad, Radu Ioan Boţ, Dennis Meier, Mathias Staudigl -
New duality results for evenly convex optimization problems
Article dans une revue Published on 02/09/2021 co-written by M. Fajardo, Sorin-Mihai Grad, J. Vidal -
Solving Mixed Variational Inequalities Beyond Convexity
Article dans une revue Published on 01/08/2021 co-written by Sorin-Mihai Grad, Felipe Lara -
Inducing strong convergence of trajectories in dynamical systems associated to monotone inclusions with composite structure
Article dans une revue Published on 25/03/2021 co-written by Radu Ioan Boţ, Sorin-Mihai Grad, Dennis Meier, Mathias Staudigl -
An extension of the proximal point algorithm beyond convexity
Article dans une revue Published on 01/01/2021 co-written by Sorin-Mihai Grad, Felipe Lara