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The Euclidean Matching Problem / / by Gabriele Sicuro



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Autore: Sicuro Gabriele Visualizza persona
Titolo: The Euclidean Matching Problem / / by Gabriele Sicuro Visualizza cluster
Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
Edizione: 1st ed. 2017.
Descrizione fisica: 1 online resource (XIV, 136 p. 50 illus., 6 illus. in color.)
Disciplina: 511.66
Soggetto topico: Physics
Statistical physics
Dynamical systems
Mathematical physics
Mathematical Methods in Physics
Complex Systems
Mathematical Physics
Statistical Physics and Dynamical Systems
Note generali: "Doctoral Thesis accepted by The University of Pisa, Italy."
Nota di bibliografia: Includes bibliographical references at the end of each chapters.
Nota di contenuto: Introduction -- Optimisation, Disorder and Statistical Mechanics -- Euclidean Matching Problems -- Conclusions.
Sommario/riassunto: This thesis discusses the random Euclidean bipartite matching problem, i.e., the matching problem between two different sets of points randomly generated on the Euclidean domain. The presence of both randomness and Euclidean constraints makes the study of the average properties of the solution highly relevant. The thesis reviews a number of known results about both matching problems and Euclidean matching problems. It then goes on to provide a complete and general solution for the one dimensional problem in the case of convex cost functionals and, moreover, discusses a potential approach to the average optimal matching cost and its finite size corrections in the quadratic case. The correlation functions of the optimal matching map in the thermodynamical limit are also analyzed. Lastly, using a functional approach, the thesis puts forward a general recipe for the computation of the correlation function of the optimal matching in any dimension and in a generic domain. iv>.
Titolo autorizzato: The Euclidean Matching Problem  Visualizza cluster
ISBN: 9783319465777
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910148853403321
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Serie: Springer Theses, Recognizing Outstanding Ph.D. Research, . 2190-5053