Ebook > Scienza > Matematica > Jurgen Elstrodt: Maß- und Integrationstheorie (PDF)

Jurgen Elstrodt
Maß- und Integrationstheorie

Supporto

Copertina di Jurgen Elstrodt: Maß- und Integrationstheorie (PDF)

Das Lehrbuch vermittelt solides Basiswissen zu den thematischen Schwerpunkten Produktmaße, Fourier-Transformation, Transformationsformel, Konvergenzbegriffe, absolute Stetigkeit und Maße auf topologischen Räumen. Höhepunkte sind die Herleitung des Riesz’schen Darstellungssatzes und der Beweis der Existenz und Eindeutigkeit des Haar’schen Maßes. Der Band enthält ferner mathematikhistorische Ausflüge und Kurzporträts von Mathematikern, die zum Thema des Buchs wichtige Beiträge geliefert haben, sowie zahlreiche Übungsaufgaben zur Vertiefung des Stoffs.

€24.94

Lingua Tedesco ● Formato PDF ● ISBN 9783642179051 ● Casa editrice Springer Berlin Heidelberg ● Pubblicato 2011 ● Scaricabile 3 volte ● Moneta EUR ● ID 6377885 ● Protezione dalla copia Adobe DRM

Richiede un lettore di ebook compatibile con DRM

Altri ebook dello stesso autore / Editore

Jurgen Elstrodt

47.429 Ebook in questa categoria

Copertina di COMAP: For All Practical Purposes

COMAP: For All Practical Purposes

Copertina di Lucia Darrow & Walter DeGrange: Field Guide to Compelling Analytics

Lucia Darrow & Walter DeGrange: Field Guide to Compelling Analytics

Field Guide to Compelling Analytics is written for Analytics Professionals (APs) who want to increase their probability of success in implementing analytical solutions. In the past, soft skills such …

Copertina di Michael J. (University of Florida, Gainesville, USA) Daniels & Antonio Linero: Bayesian Nonparametrics for Causal Inference and Missing Data

Michael J. (University of Florida, Gainesville, USA) Daniels & Antonio Linero: Bayesian Nonparametrics for Causal Inference and Missing Data

Bayesian Nonparametrics for Causal Inference and Missing Data provides an overview of flexible Bayesian nonparametric (BNP) methods for modeling joint or conditional distributions and functional rela …

Copertina di Chris (University of Bath, UK) Chatfield: Problem Solving

Chris (University of Bath, UK) Chatfield: Problem Solving

This book illuminates the complex process of problem solving, including formulating the problem, collecting and analyzing data, and presenting the …

Copertina di Rudolf Taschner: Numbers at Work

Rudolf Taschner: Numbers at Work

Drawing primarily from historical examples, this book explains the tremendous role that numbers and, in particular, mathematics play in all aspects of our civilization and culture. The lively style …

Copertina di Martin Hugh (University of Victoria, Division of Continuing Studies, Canada) Monkman: The Data Preparation Journey

Martin Hugh (University of Victoria, Division of Continuing Studies, Canada) Monkman: The Data Preparation Journey

The Data Preparation Journey: Finding Your Way With R introduces the principles of data preparation within in a systematic approach that follows a typical data science or statistical workflow. With t …

Copertina di H.R. Madala: Inductive Learning Algorithms for Complex Systems Modeling

H.R. Madala: Inductive Learning Algorithms for Complex Systems Modeling

Inductive Learning Algorithms for Complex Systems Modeling is a professional monograph that surveys new types of learning algorithms for modeling complex scientific systems in science and …

Copertina di John E. Kolassa: An Introduction to Nonparametric Statistics

John E. Kolassa: An Introduction to Nonparametric Statistics

An Introduction to Nonparametric Statistics presents techniques for statistical analysis in the absence of strong assumptions about the distributions generating the data.　Rank-based and resamplin …

Copertina di William H. Beyer: Handbook of Mathematical Science

William H. Beyer: Handbook of Mathematical Science

Numerical tables of mathematical and statistical functions are in continual demand by professional scientists, by those in the teaching profession, and by students of mathematics and related …

Copertina di Diana Cole: Parameter Redundancy and Identifiability

Diana Cole: Parameter Redundancy and Identifiability

Pagina successiva >>>