1.

Record Nr.

UNINA9910148853403321

Autore

Sicuro Gabriele

Titolo

The Euclidean Matching Problem / / by Gabriele Sicuro

Pubbl/distr/stampa

Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017

ISBN

9783319465777

Edizione

[1st ed. 2017.]

Descrizione fisica

1 online resource (XIV, 136 p. 50 illus., 6 illus. in color.)

Collana

Springer Theses, Recognizing Outstanding Ph.D. Research, , 2190-5053

Disciplina

511.66

Soggetti

Physics

Statistical physics

Dynamics

Mathematical physics

Mathematical Methods in Physics

Complex Systems

Mathematical Physics

Statistical Physics and Dynamical Systems

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

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>.