4,289 research outputs found

    Caruso, Maria

    No full text
    Centro Asturiano membership record of Maria Caruso; Socio Number: 1059.https://digitalcommons.usf.edu/asturiano_membership/1692/thumbnail.jp

    Caruso e il silenzio di d’Annunzio

    No full text
    L’epoca di Enrico Caruso è stata anche quella di Gabriele d’Annunzio. Erano i due uomini italiani più famosi del mondo, eppure al Vittoriale non ci sono dischi né tracce di contatti epistolari tra loro. Gli unici due documenti conservati al Vittoriale che legano i loro nomi risalgono al 1921, nei primissimi tempi dopo la morte di Caruso, e provengono entrambi dagli Stati Uniti. Questo contributo indaga i motivi per i quali il Poeta non prese parte alle commemorazioni per la morte del celebre tenore

    Winthrop Dance Theatre 2015 Features Bodiography Creator Maria Caruso

    No full text
    Maria Caruso created Bodiography to celebrate dancers of all shapes and sizes. When choreographer Maria Caruso created her company Bodiography, she set out to celebrate dancers of all shapes and sizes. She has since won acclaim for her groundbreaking choreography that especially focuses on health issues and inspiring others

    A new species and new records of terrestrial isopods from Sicily (Isopoda: Oniscidea)

    No full text
    Figure 5. Trichoniscus panormidensis sp. nov. (male, paratype from Mount San Giuliano, Erice). (A) Pleopod 1 and genital papilla; (B) pleopod 2.Published as part of Montesanto, Giuseppe, Caruso, Domenico & Lombardo, Bianca Maria, 2011, A new species and new records of terrestrial isopods from Sicily (Isopoda: Oniscidea), pp. 1925-1935 in Journal of Natural History 45 (31-32) on page 1932, DOI: 10.1080/00222933.2011.573099, http://zenodo.org/record/520406

    Michael Angelo Caruso, international author, consultant, and speaker on Campus

    No full text
    Tollefson, Elizabeth. (2013). Michael Angelo Caruso, international author, consultant, and speaker on Campus. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/223386

    Resenha do livro "De Broglie” de José Maria Filardo Bassalo e Francisco Caruso

    No full text
    Resenha do livro "De Broglie” de José Maria Filardo Bassalo e Francisco Caruso Editora Livraria da Física, São Paulo, 2015, 1a edição, 94 p ISBN: 978857861337

    Alien Registration- Caruso, Maria (Rumford, Oxford County)

    No full text
    https://digitalmaine.com/alien_docs/13829/thumbnail.jp

    Bilevel Nash equilibrium problems: Numerical approximation via direct-search methods

    No full text
    We address the numerical approximation of bilevel problems where a Nash equilibrium has to be determined both in the upper level and in the lower level. Widely applied in engineering and economic frameworks, such models are an extension of the well-known Stackelberg duopoly model and of the classical bilevel optimization problem. In this paper, the lower level involves a non-parametric ratio-bounded game (as introduced by Caruso, Ceparano and Morgan in CSEF Working Papers 593, 2020) and the upper level involves a potential game (as introduced by Monderer and Shapley in Games Econ. Behav. 14, 1996). After presenting existence and uniqueness results for the solutions of such bilevel Nash equilibrium problems, we define a numerical method relying on a derivative-free unconstrained optimization technique connected to direct-search methods. The associate algorithm is shown to globally converge towards a solution; error estimations, rates of convergence and illustrative examples are also provided

    A Local Variation Method for Bilevel Nash Equilibrium Problems

    No full text
    We address the numerical approximation of bilevel problems consisting of one Nash equilibrium problem in the upper level and another Nash equilibrium problem in the lower level. These problems, widely employed in engineering and economic applications, are a generalization of the well-known Stackelberg (or bilevel optimization) problem. In this paper, we define a numerical method for bilevel Nash equilibrium problems where in the lower level there is a ratio-bounded game (introduced in Caruso, Ceparano, Morgan [CSEF Working Papers, 593 (2020)]) and in the upper level there is a potential game (introduced in Monderer, Shapley [Games Econ. Behav., 14 (1996)]). The method, relying on a derivative-free unconstrained optimization technique called local variation method, is shown to globally converge towards a solution of the problem and also allows to obtain error estimations

    An Inverse-Adjusted Best Response Algorithm for Nash Equilibria

    No full text
    Regarding the approximation of Nash equilibria in games where the players have a continuum of strategies, there exist various algorithms based on best response dynamics and on its relaxed variants: from one step to the next, a player's strategy is updated by using explicitly a best response to the strategies of the other players that come from the previous steps. These iterative schemes generate sequences of strategy profiles which are constructed by using continuous optimization techniques and they have been shown to converge in the following situations: in zero-sum games or, in non-zero-sum ones, under contraction assumptions or under linearity of best response functions. In this paper, we propose an algorithm which guarantees the convergence to a Nash equilibrium in two-player non-zero-sum games when the best response functions, called r1r_1 and r2r_2, are not necessarily linear, neither the composition r1circr2r_1circ r_2 nor r2circr1r_2circ r_1 is a contraction, and the strategy sets are Hilbert spaces. First, we address the issue of uniqueness of the Nash equilibrium extending to a more general class the result obtained by Caruso, Ceparano, and Morgan [J. Math. Anal. Appl., 459 (2018), pp. 1208--1221] for weighted potential games. Then, we describe a theoretical approximation scheme based on a nonstandard (nonconvex) relaxation of best response iterations which converges to the unique Nash equilibrium of the game. Finally, we define a numerical approximation scheme relying on a derivative-free continuous optimization technique applied in a finite dimensional setting and we provide convergence results and error bounds
    corecore