Sorin-Mihai Grad

Professor of Optimization

ENSTA Paris

France

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Professor Sorin-Mihai Grad is a faculty member at ENSTA, specializing in Optimization. Based in France, his research focuses on nonconvex mixed multivalued quasi-variational inequalities, quasiconvex minimization, and proximal-type algorithms. His recent publications contribute significantly to the understanding of nonconvex optimization and include works on stochastic algorithms and duality results.

Articles (10)

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2025

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2025

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2024

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2024

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2024

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2024

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2023

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2022

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2021

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2020

Collaborators (1)

Maria Dolores Fajardo

Universidad de Alicante

SPAIN

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Sorin-Mihai Grad

Research Interests

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About

Articles (10)

Proximal-Type Algorithms for Solving Nonconvex Mixed Multivalued Quasi-Variational Inequality Problems

Strongly Quasiconvex Functions: What We Know (So Far)

Relaxed-Inertial Proximal Point Algorithms for Nonconvex Equilibrium Problems with Applications

Proximal point type algorithms with relaxed and inertial effects beyond convexity

Editorial for the Special Issue on “Recent Advances in Nonsmooth Optimization and Analysis”

Stochastic incremental mirror descent algorithms with Nesterov smoothing

Relaxed-inertial proximal point type algorithms for quasiconvex minimization

An extension of the proximal point algorithm beyond convexity

Solving Mixed Variational Inequalities Beyond Convexity

New duality results for evenly convex optimization problems

Collaborators (1)

Maria Dolores Fajardo

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