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    Article

    Single-Leader-Radner-Equilibrium: A New Approach for a Class of Bilevel Problems Under Uncertainty

    Bilevel problems with several followers, often called Single-Leader-Multi-Follower problems, have been proved to be very useful for modeling hierarchical interactions between agents in economics, industry, etc...

    Elisabetta Allevi, Didier Aussel in Journal of Optimization Theory and Applica… (2024)

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    Open Access

    On the study of multistage stochastic vector quasi-variational problems

    This paper focuses on the study of multistage stochastic vector generalized quasi-variational inequalities with a variable ordering structure. The proposed multistage stochastic vector quasi-variational proble...

    Elena Molho, Domenico Scopelliti in Journal of Global Optimization (2023)

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    Living Reference Work Entry In depth

    Education Modules and Methodologies in Training of Cleft Palate Surgery

    The aim of this chapter is to underline our young surgeon’s learning process in training of cleft palate procedure. The objectives are the complete knowledge pertaining to the cases of cleft lip and palate fro...

    Domenico Scopelliti, Mohamed El-Shazly in Surgical Atlas of Cleft Palate and Palatal…

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    Reference Work Entry In depth

    Education Modules and Methodologies in Training of Cleft Palate Surgery

    The aim of this chapter is to underline our young surgeon’s learning process in training of cleft palate procedure. The objectives are the complete knowledge pertaining to the cases of cleft lip and palate fro...

    Domenico Scopelliti, Mohamed El-Shazly in Surgical Atlas of Cleft Palate and Palatal… (2022)

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    Article

    A Variational Approach to the Maximization of Preferences Without Numerical Representation

    We introduce a variational approach to study a maximization problem of preferences that cannot be represented by a utility function. In such conditions, we reformulate the problem as a suitable variational pro...

    Monica Milasi, Domenico Scopelliti in Journal of Optimization Theory and Applications (2021)