Marco Sciandrone

Marco Sciandrone

Università degli Studi di Firenze

H-index: 29

Europe-Italy

About Marco Sciandrone

Marco Sciandrone, With an exceptional h-index of 29 and a recent h-index of 21 (since 2020), a distinguished researcher at Università degli Studi di Firenze, specializes in the field of nonlinear optimization, machine learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

A Globally Convergent Gradient Method with Momentum

Optimality Conditions for Problems with Convex Feasible Set

Unconstrained Optimization Algorithms

Decomposition Methods

Fundamental Definitions and Basic Existence Results

Introduction to Interior Point Methods

Optimality Conditions for Unconstrained Problems in Rn

Optimality Conditions for Nonlinear Programming

Marco Sciandrone Information

University

Position

Professor of Operations Research

Citations(all)

3569

Citations(since 2020)

1569

Cited By

2679

hIndex(all)

29

hIndex(since 2020)

21

i10Index(all)

53

i10Index(since 2020)

41

Email

University Profile Page

Università degli Studi di Firenze

Google Scholar

View Google Scholar Profile

Marco Sciandrone Skills & Research Interests

nonlinear optimization

machine learning

Top articles of Marco Sciandrone

Title

Journal

Author(s)

Publication Date

A Globally Convergent Gradient Method with Momentum

arXiv preprint arXiv:2403.17613

Matteo Lapucci

Giampaolo Liuzzi

Stefano Lucidi

Marco Sciandrone

2024/3/26

Optimality Conditions for Problems with Convex Feasible Set

Luigi Grippo

Marco Sciandrone

2023/3/6

Unconstrained Optimization Algorithms

Luigi Grippo

Marco Sciandrone

2023/3/6

Decomposition Methods

Luigi Grippo

Marco Sciandrone

2023/3/6

Fundamental Definitions and Basic Existence Results

Luigi Grippo

Marco Sciandrone

2023/3/6

Introduction to Interior Point Methods

Luigi Grippo

Marco Sciandrone

2023/3/6

Optimality Conditions for Unconstrained Problems in Rn

Luigi Grippo

Marco Sciandrone

2023/3/6

Optimality Conditions for Nonlinear Programming

Luigi Grippo

Marco Sciandrone

2023/3/6

Optimality Conditions Based on Theorems of the Alternative

Luigi Grippo

Marco Sciandrone

2023/3/6

Nonmonotone Methods

Luigi Grippo

Marco Sciandrone

2023/3/6

Basic Concepts of Linear Algebra and Analysis

Luigi Grippo

Marco Sciandrone

2023/3/6

Novel approaches to improve the efficiency of Machine Learning models

Enrico Civitelli

Fabio Schoen

Marco Sciandrone

2023

Methods for Problems with Convex Feasible Set

Luigi Grippo

Marco Sciandrone

2023/3/6

A unifying framework for sparsity-constrained optimization

Journal of Optimization Theory and Applications

Matteo Lapucci

Tommaso Levato

Francesco Rinaldi

Marco Sciandrone

2023/11

Line Search Methods

Luigi Grippo

Marco Sciandrone

2023/3/6

Trust Region Methods

Luigi Grippo

Marco Sciandrone

2023/3/6

Derivative-Free Methods for Unconstrained Optimization

Luigi Grippo

Marco Sciandrone

2023/3/6

Penalty and Augmented Lagrangian Methods

Luigi Grippo

Marco Sciandrone

2023/3/6

SQP Methods

Luigi Grippo

Marco Sciandrone

2023/3/6

Introduction to Methods for Nonlinear Optimization

Luigi Grippo

Marco Sciandrone

2023/5/27

See List of Professors in Marco Sciandrone University(Università degli Studi di Firenze)