- Ingegneria Industriale & Ingegneria dell’Informazione per il territorio fiorentino
- A cura di Bruno Facchini, Giovanni Ferrara, Rocco Furferi
Analisi Numerica e Ingegneria: sinergie e contaminazioni
- Stefania Bellavia
- Costanza Conti
- Benedetta Morini
- Alessandra Papini
- Margherita Porcelli
- © 2026 Author(s) |
- CC BY 4.0
- DOI: 10.36253/979-12-215-0972-4.19
The chapter “Numerical Analysis and Engineering: Synergies and Cross-Fertilization” highlights the role of numerical analysis as a cross-cutting tool supporting engineering research. Through the development of innovative methods and algorithms for optimization, mathematical modeling, and data processing, numerical analysis contributes to solving complex problems in energy, mechanics, materials science, and artificial intelligence. Interdisciplinary collaboration fosters scientific cross-fertilization, generating new theoretical insights and practical applications.
- Keywords:
- Industrial Engineering,
- University of Florence,
- Department of Industrial Engineering (DIEF),
- Historical development,
- Engineering education,
- Mechanical engineering,
- Energy engineering,
- University–industry collaboration,
University of Florence, Italy - ORCID: 0000-0002-3691-7836
University of Florence, Italy - ORCID: 0000-0001-6878-7784
University of Florence, Italy - ORCID: 0000-0002-9213-3622
University of Florence, Italy - ORCID: 0000-0002-1356-613X
University of Florence, Italy - ORCID: 0000-0003-0183-1204
- Bellavia, S. et al. 2023. “A Stochastic First-Order Trust-Region Method with Inexact Restoration for Finite-Sum Minimization.” Computational Optimization and Applications.
- Bellavia, S., Krejic, N. e B. Morini. “Inexact Restoration with Subsampled Trust-Region Methods For Finite-Sum Minimization.” Computational Optimization and Applications.
- Cai, J. F., Candès, E. J., e Z. Shen. 2010. “A Singular Value Thresholding Algorithm For Matrix Completion.” SIAM Journal on Optimization.
- Carcasci, C. et al. 2016. “A New Modular Procedure For Industrial Plant Simulations And Its Reliable Implementation.” Energy 94(1): 380-90.
- Marini, L., Morini, B. e M. Porcelli. 2018. “Quasi-Newton Methods for Constrained Nonlinear Systems: Complexity Analysis and Application.” Computational Optimization and Applications 72(1): 147-70.
- Meli, E. et al. 2022. “Solving Nonlinear Systems of Equations Via Spectral Residual Methods: Stepsize Selection and Applications.” Journal of Scientific Computing 90: 30.
- Shi, Z. et al. 2023. “A Degraded Adhesion Model for Creep Force Calculation Based on the Contact Algorithm.” Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit.
- Schwartz, R. et al. 2020. “Green AI.” Commun.
- Silei, M. et al. 2023. “Recovering Corrupted Data in Wind Farm Measurements: A Matrix Completion Approach.” Energies 16: 1996-2073.
- Zini, M. et al. 2024. “Tuning-free Stochastic Optimization for Neural Network Training in Building Energy Prediction.”
Informazioni sul capitolo
Titolo del capitolo
Analisi Numerica e Ingegneria: sinergie e contaminazioni
Autori
Stefania Bellavia, Costanza Conti, Benedetta Morini, Alessandra Papini, Margherita Porcelli
Lingua
Italiano
DOI
10.36253/979-12-215-0972-4.19
Opera sottoposta a peer review
Anno di pubblicazione
2026
Copyright
© 2026 Author(s)
Licenza d'uso
Licenza dei metadati
Informazioni bibliografiche
Titolo del libro
Ingegneria Industriale & Ingegneria dell’Informazione per il territorio fiorentino
Sottotitolo del libro
Ingegneria Industriale - Volume 1
Curatori
Bruno Facchini, Giovanni Ferrara, Rocco Furferi
Opera sottoposta a peer review
Numero di pagine
272
Anno di pubblicazione
2026
Copyright
© 2026 Author(s)
Licenza d'uso
Licenza dei metadati
Editore
Firenze University Press
DOI
10.36253/979-12-215-0972-4
ISBN Print
979-12-215-0971-7
eISBN (pdf)
979-12-215-0972-4
Collana
Dialoghi con la società
ISSN della collana
2975-0210
e-ISSN della collana
2975-0334