Eldan Ronen (10 results)
- Softcover
Seller: Books Puddle, New York, U.S.A.Books Puddle
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US$ 115.54
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Condition: New. 1st ed. 2023 edition NO-PA16APR2015-KAP.
- Softcover
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
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US$ 138.39
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Paperback. Condition: Brand New. 448 pages. 9.25x6.10x0.98 inches. In Stock.
- Softcover
Seller: preigu, Osnabrück, Germanypreigu
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US$ 81.67
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Taschenbuch. Condition: Neu. Geometric Aspects of Functional Analysis | Israel Seminar (GAFA) 2020-2022 | Ronen Eldan (u. a.) | Taschenbuch | Lecture Notes in Mathematics | viii | Englisch | 2023 | Springer | EAN 9783031262999 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen…[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
- Softcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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US$ 89.62
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book reflects general trends in the study of geometric aspects of functional analysis, understood in a broad sense. A classical theme in the local theory of Banach spaces is the study of probability measures in high dimension and the concentra…tion of measure phenomenon. Here this phenomenon is approached from different angles, including through analysis on the Hamming cube, and via quantitative estimates in the Central Limit Theorem under thin-shell and related assumptions. Classical convexity theory plays a central role in this volume, as well as the study of geometric inequalities. These inequalities, which are somewhat in spirit of the Brunn-Minkowski inequality, in turn shed light on convexity and on the geometry of Euclidean space. Probability measures with convexity or curvature properties, such as log-concave distributions, occupy an equally central role and arise in the study of Gaussian measures and non-trivial properties of the heat flow in Euclidean spaces. Also discussed are interactions of this circle of ideas with linear programming and sampling algorithms, including the solution of a question in online learning algorithms using a classical convexity construction from the 19th century.
- Softcover
- Print on Demand
Seller: Brook Bookstore On Demand, Napoli, ItalyBrook Bookstore On Demand
Contact seller3-star sellerCondition: New
US$ 74.47
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Condition: new. Questo è un articolo print on demand.
- Softcover
- Print on Demand
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.
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US$ 89.62
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book reflects general trends in the study of geometric aspects of functional analysis, understood in a broad sense. A classical theme in the local theory of Banach spaces is the study of probability measures in high dimension a…nd the concentration of measure phenomenon. Here this phenomenon is approached from different angles, including through analysis on the Hamming cube, and via quantitative estimates in the Central Limit Theorem under thin-shell and related assumptions. Classical convexity theory plays a central role in this volume, as well as the study of geometric inequalities. These inequalities, which are somewhat in spirit of the Brunn-Minkowski inequality, in turn shed light on convexity and on the geometry of Euclidean space. Probability measures with convexity or curvature properties, such as log-concave distributions, occupy an equally central role and arise in the study of Gaussian measures and non-trivial properties of the heat flow in Euclidean spaces. Also discussed are interactions of this circle of ideas with linear programming and sampling algorithms, including the solution of a question in online learning algorithms using a classical convexity construction from the 19th century. 448 pp. Englisch.
- Softcover
- Print on Demand
Seller: Majestic Books, Hounslow, United KingdomMajestic Books
Contact seller4-star sellerCondition: New
US$ 114.85
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Condition: New. Print on Demand.
- Softcover
- Print on Demand
Seller: Biblios, frankfurt am main, GermanyBiblios
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US$ 122.08
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Condition: New. PRINT ON DEMAND.
Language: English
Published by Springer, Berlin|Springer International Publishing|Springer 2023
- Softcover
- Print on Demand
Seller: moluna, Greven, Germanymoluna
Contact seller5-star sellerCondition: New
US$ 76.98
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Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book reflects general trends in the study of geometric aspects of functional analysis, understood in a broad sense. A classical theme in the local theory of Banach spaces is the study of…probability measures in high dimension and the concentration of m.
- Softcover
- Print on Demand
Seller: buchversandmimpf2000, Emtmannsberg, Germanybuchversandmimpf2000
Contact seller5-star sellerCondition: New
US$ 89.62
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book reflects general trends in the study of geometric aspects of functional analysis, understood in a broad sense. A classical theme in the local theory of Banach spaces is the study of probability measures in high dimension and t…he concentration of measure phenomenon. Here this phenomenon is approached from different angles, including through analysis on the Hamming cube, and via quantitative estimates in the Central Limit Theorem under thin-shell and related assumptions. Classical convexity theory plays a central role in this volume, as well as the study of geometric inequalities. These inequalities, which are somewhat in spirit of the Brunn-Minkowski inequality, in turn shed light on convexity and on the geometry of Euclidean space. Probability measures with convexity or curvature properties, such as log-concave distributions, occupy an equally central role and arise in the study of Gaussian measures and non-trivial properties of the heat flow in Euclidean spaces. Also discussed are interactions of this circle of ideas with linear programming and sampling algorithms, including the solution of a question in online learning algorithms using a classical convexity construction from the 19th century.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 448 pp. Englisch.
