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The Euclidean Matching Problem

-22% su kodu: BOOKS
132,12 
Įprasta kaina: 169,38 
-22% su kodu: BOOKS
Kupono kodas: BOOKS
Akcija baigiasi: 2025-03-09
-22% su kodu: BOOKS
132,12 
Įprasta kaina: 169,38 
-22% su kodu: BOOKS
Kupono kodas: BOOKS
Akcija baigiasi: 2025-03-09
-22% su kodu: BOOKS
2025-02-28 132.12 InStock
Nemokamas pristatymas į paštomatus per 11-15 darbo dienų užsakymams nuo 10,00 

Knygos aprašymas

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.

Informacija

Autorius: Gabriele Sicuro
Serija: Springer Theses
Leidėjas: Springer Nature Switzerland
Išleidimo metai: 2018
Knygos puslapių skaičius: 152
ISBN-10: 3319835440
ISBN-13: 9783319835440
Formatas: 235 x 155 x 9 mm. Knyga minkštu viršeliu
Kalba: Anglų

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