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Titlebook: Klassische Inspirationen zu professioneller Gelassenheit; Sprezzatura statt Ma Holger Rust Book 2018 Springer Fachmedien Wiesbaden GmbH, ei

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楼主: 炸弹
发表于 2025-3-25 03:51:18 | 显示全部楼层
Holger Rust bookshould be accessible to either undergraduate or graduate.students who are interested in probability theory and have a solid background in Lebesgue.integration theory and a familiarity with basic functional analysis. Although the focus is.on Gaussian measures, the book introduces its readers to
发表于 2025-3-25 11:09:59 | 显示全部楼层
发表于 2025-3-25 11:42:05 | 显示全部楼层
Klassische Inspirationen zu professioneller GelassenheitSprezzatura statt Ma
发表于 2025-3-25 19:11:29 | 显示全部楼层
发表于 2025-3-25 21:16:47 | 显示全部楼层
Holger Rusthe topics in Gaussian harmonic analysis that up to now are mostly scattered in research papers and sections of books; also an exhaustive bibliography for further reading.  Each chapter ends with a section of no978-3-030-05597-4Series ISSN 1439-7382 Series E-ISSN 2196-9922
发表于 2025-3-26 03:46:28 | 显示全部楼层
Holger Rusthe topics in Gaussian harmonic analysis that up to now are mostly scattered in research papers and sections of books; also an exhaustive bibliography for further reading.  Each chapter ends with a section of no978-3-030-05597-4Series ISSN 1439-7382 Series E-ISSN 2196-9922
发表于 2025-3-26 07:27:20 | 显示全部楼层
Holger Rustds of research: harmonic analysis and  probability. The book is intended for a very diverse audience, from graduate students all the way to researchers working in a broad spectrum of areas in analysis. Written with the graduate student in mind, it is assumed that the reader has familiarity with the
发表于 2025-3-26 11:39:53 | 显示全部楼层
Holger Rust sections of books.Gaussian harmonic analysis may serve as a.Authored by a ranking authority in Gaussian harmonic analysis, this book embodies a state-of-the-art entrée at the intersection of two important fields of research: harmonic analysis and  probability. The book is intended for a very divers
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发表于 2025-3-26 18:54:40 | 显示全部楼层
Holger Rusth finite and infinite.dimensional spaces. It begins with a brief resumé of probabilistic results in which Fourier.analysis plays an essential role, and those results are then applied to derive a few basic.facts about Gaussian measures on finite dimensional spaces. In anticipation of the analysis.of
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