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An Introduction to Infinite-Dimensional Analysis, Giuseppe Da Prato


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Автор: Giuseppe Da Prato   (Джузеппе Да Прато)
Название:  An Introduction to Infinite-Dimensional Analysis
Перевод названия: Джузеппе Да Прато: Введение в бесконечномерный анализ
ISBN: 9783642421686
Издательство: Springer
Классификация:


ISBN-10: 3642421687
Обложка/Формат: Paperback
Страницы: 208
Вес: 0.32 кг.
Дата издания: 30.11.2014
Серия: Universitext
Язык: English
Издание: 2006 ed.
Иллюстрации: Biography
Размер: 234 x 156 x 12
Читательская аудитория: General (us: trade)
Основная тема: Mathematics
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: Based on well-known lectures given at Scuola Normale Superiore in Pisa, this book introduces analysis in a separable Hilbert space of infinite dimension. It starts from the definition of Gaussian measures in Hilbert spaces, concepts such as the Cameron-Martin formula, Brownian motion and Wiener integral are introduced in a simple way.


Infinite Dimensional Analysis: A Hitchhiker`s Guide

Автор: Charalambos D. Aliprantis
Название: Infinite Dimensional Analysis: A Hitchhiker`s Guide
ISBN: 3540326960 ISBN-13(EAN): 9783540326960
Издательство: Springer
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Цена: 6847.00 р. 9781.00 -30%
Наличие на складе: Есть (1 шт.)
Описание: What you`ll find in this monograph is nothing less than a complete and rigorous study of modern functional analysis. It is intended for the student or researcher who could benefit from functional analytic methods, but who does not have an extensive background in the subject and does not plan to make a career as a functional analyst.

An Introduction to Infinite-Dimensional Linear Systems Theory

Автор: Ruth F. Curtain; Hans Zwart
Название: An Introduction to Infinite-Dimensional Linear Systems Theory
ISBN: 1461287022 ISBN-13(EAN): 9781461287025
Издательство: Springer
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Цена: 12577.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

A Topological Introduction to Nonlinear Analysis

Автор: Brown Robert F.
Название: A Topological Introduction to Nonlinear Analysis
ISBN: 0817632581 ISBN-13(EAN): 9780817632588
Издательство: Springer
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Цена: 6282.00 р.
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Описание: "The book is highly recommended as a text for an introductory course in nonlinear analysis and bifurcation theory . . . reading is fluid and very pleasant . . . style is informal but far from being imprecise." —MATHEMATICAL REVIEWS (Review of the First Edition) Here is a book that will be a joy to the mathematician or graduate student of mathematics---or even the well-prepared undergraduate---who would like, with a minimum of background and preparation, to understand some of the beautiful results at the heart of nonlinear analysis. Based on carefully expounded ideas from several branches of topology, and illustrated by a wealth of figures that attest to the geometric nature of the exposition, the book will be of immense help in providing its readers with an understanding of the mathematics of the nonlinear phenomena that characterize our real world.New to the second edition: New chapters will supply additional applications of the theory and techniques presented in the book. * Several new proofs, making the second edition more self-contained.

Introduction to High-Dimensional Statistics

Автор: Giraud
Название: Introduction to High-Dimensional Statistics
ISBN: 1482237946 ISBN-13(EAN): 9781482237948
Издательство: Taylor&Francis
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Цена: 9645.00 р.
Наличие на складе: Поставка под заказ.

Описание: Ever-greater computing technologies have given rise to an exponentially growing volume of data. Today massive data sets (with potentially thousands of variables) play an important role in almost every branch of modern human activity, including networks, finance, and genetics. However, analyzing such data has presented a challenge for statisticians and data analysts and has required the development of new statistical methods capable of separating the signal from the noise. Introduction to High-Dimensional Statistics is a concise guide to state-of-the-art models, techniques, and approaches for handling high-dimensional data. The book is intended to expose the reader to the key concepts and ideas in the most simple settings possible while avoiding unnecessary technicalities. Offering a succinct presentation of the mathematical foundations of high-dimensional statistics, this highly accessible text: Describes the challenges related to the analysis of high-dimensional data Covers cutting-edge statistical methods including model selection, sparsity and the lasso, aggregation, and learning theory Provides detailed exercises at the end of every chapter with collaborative solutions on a wikisite Illustrates concepts with simple but clear practical examples Introduction to High-Dimensional Statistics is suitable for graduate students and researchers interested in discovering modern statistics for massive data. It can be used as a graduate text or for self-study.

Introduction to Analysis of the Infinite

Автор: Leonard Euler; J.D. Blanton
Название: Introduction to Analysis of the Infinite
ISBN: 1461269792 ISBN-13(EAN): 9781461269793
Издательство: Springer
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Цена: 30745.00 р.
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Описание: Often I have considered the fact that most of the difficulties which block the progress of students trying to learn analysis stem from this: that although they understand little of ordinary algebra, still they attempt this more subtle art.

Introduction to Analysis of the Infinite

Автор: J.D. Blanton; Leonhard Euler
Название: Introduction to Analysis of the Infinite
ISBN: 1461269881 ISBN-13(EAN): 9781461269885
Издательство: Springer
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Цена: 25155.00 р.
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Описание: In the first book, since all of analysis is concerned with variable quantities and functions of such variables, I have given full treatment to functions. I have also treated the transformation of functions and functions as the sum of infinite series.

An Introduction to Multivariate Statistical Analysis, Third Edition

Автор: T. W. Anderson
Название: An Introduction to Multivariate Statistical Analysis, Third Edition
ISBN: 0471360910 ISBN-13(EAN): 9780471360919
Издательство: Wiley
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Цена: 27712.00 р.
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Описание: Uses the method of maximum likelihood to a large extent to ensure reasonable, and in some cases optimal procedures. This work treats the basic and important topics in multivariate statistics.


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