Isbn: 9783642388057 - random matrices and iterated random functions: münster, october 2011: münster, october 2011: 53 (12 risultati)

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    Condizione: New. In English.

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    Editore: Springer Berlin Heidelberg, 2013

    3642388051 / 9783642388057

    Serie: Libro 45 di 464 - Springer Proceedings in Mathematics & Statistics

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    Serie: Libro 45 di 464 - Springer Proceedings in Mathematics & Statistics

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    Condizione: New. pp. 276.

  • Lingua: Inglese

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    Serie: Libro 45 di 464 - Springer Proceedings in Mathematics & Statistics

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    Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Random Matrices are one of the major research areas in modern probability theory, due to their prominence in many different fields such as nuclear physics, statistics, telecommunication, free probability, non-commutative geometry, and dynamical systems. A great deal of recent work has focused on the study of spectra of large random matrices on the one hand and on iterated random functions, especially random difference equations, on the other. However, the methods applied in these two research areas are fairly dissimilar. Motivated by the idea that tools from one area could potentially also be helpful in the other, the volume editors have selected contributions that present results and methods from random matrix theory as well as from the theory of iterated random functions. This work resulted from a workshop that was held in Münster, Germany in 2011. The aim of the workshop was to bring together researchers from two fields of probability theory: random matrix theory and the theory of iterated random functions. Random matrices play fundamental, yet very different roles in the two fields. Accordingly, leading figures and young researchers gave talks on their field of interest that were also accessible to a broad audience.…

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    Hardcover. Condizione: Brand New. 2013 edition. 254 pages. 9.25x6.25x0.75 inches. In Stock.

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    3642388051 / 9783642388057

    Serie: Libro 45 di 464 - Springer Proceedings in Mathematics & Statistics

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    Condizione: Sehr gut. Zustand: Sehr gut | Seiten: 276 | Sprache: Englisch | Produktart: Bücher | ¿Random Matrices are one of the major research areas in modern probability theory, due to their prominence in many different fields such as nuclear physics, statistics, telecommunication, free probability, non-commutative geometry, and dynamical systems. A great deal of recent work has focused on the study of spectra of large random matrices on the one hand and on iterated random functions, especially random difference equations, on the other. However, the methods applied in these two research areas are fairly dissimilar. Motivated by the idea that tools from one area could potentially also be helpful in the other, the volume editors have selected contributions that present results and methods from random matrix theory as well as from the theory of iterated random functions. This work resulted from a workshop that was held in Münster, Germany in 2011. The aim of the workshop was to bring together researchers from two fields of probability theory: random matrix theory and the theory of iterated random functions. Random matrices play fundamental, yet very different roles in the two fields. Accordingly, leading figures and young researchers gave talks on their field of interest that were also accessible to a broad audience.…

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    3642388051 / 9783642388057

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    Hardcover. Condizione: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

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    Serie: Libro 45 di 464 - Springer Proceedings in Mathematics & Statistics

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    Editore: Springer Berlin Heidelberg Sep 2013, 2013

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    Serie: Libro 45 di 464 - Springer Proceedings in Mathematics & Statistics

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    Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.

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    Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Random Matrices are one of the major research areas in modern probability theory, due to their prominence in many different fields such as nuclear physics, statistics, telecommunication, free probability, non-commutative geometry, and dynamical systems. A great deal of recent work has focused on the study of spectra of large random matrices on the one hand and on iterated random functions, especially random difference equations, on the other. However, the methods applied in these two research areas are fairly dissimilar. Motivated by the idea that tools from one area could potentially also be helpful in the other, the volume editors have selected contributions that present results and methods from random matrix theory as well as from the theory of iterated random functions. This work resulted from a workshop that was held in Münster, Germany in 2011. The aim of the workshop was to bring together researchers from two fields of probability theory: random matrix theory and the theory of iterated random functions. Random matrices play fundamental, yet very different roles in the two fields. Accordingly, leading figures and young researchers gave talks on their field of interest that were also accessible to a broad audience. 276 pp. Englisch. …

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    Serie: Libro 45 di 464 - Springer Proceedings in Mathematics & Statistics

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    Condizione: New. Print on Demand pp. 276.

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    Serie: Libro 45 di 464 - Springer Proceedings in Mathematics & Statistics

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    Condizione: New. PRINT ON DEMAND pp. 276.

  • Lingua: Inglese

    Editore: Springer, Springer Gabler Sep 2013, 2013

    3642388051 / 9783642388057

    Serie: Libro 45 di 464 - Springer Proceedings in Mathematics & Statistics

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    Buch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -InhaltsangabeE. Le Page: Tails of a stationary probability measure for an affine stochastic recursion on the line.- Yv. Guivarc'h: On homogeneity at infinity of stationary measures for affine stochastic recursions.- M. Stolz: Limit theorems for random elements of the compact classical groups.- T. Kriecherbauer: Universality of local eigenvalue statistics.- R. Speicher: Asymptotic eigenvalue distribution of random matrices and free stochastic analysis. M. Peigné: Conditioned random walk in Weyl chambers and renewal theory in a cone.- D. Buraczewski: The linear stochastic equation R =_d sum_{ i=1}^N A_iR_i + B in the critical case.- J. Collamore: Tail estimates for stochastic fixed point equations.- S. Mentemeier: On multivariate random difference equations.- M. Olvera-Cravioto: Tail asymptotics for solutions of stochastic fixed point equations on trees.- E. Damek: On fixed points of generalized multidimensional affine recursions.- G. Alsmeyer: The functional equation of the smoothing transform.- O. Friesen, M. Löwe: Limit theorems for the eigenvalues of random matrices with weakly correlated entries.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 276 pp. Englisch.…