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Interpolation and Extrapolation Optimal Designs V1: Polynomial Regression and Approximation Theory, Giorgio Celant, Michel Broniatowski


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Автор: Giorgio Celant, Michel Broniatowski
Название:  Interpolation and Extrapolation Optimal Designs V1: Polynomial Regression and Approximation Theory
ISBN: 9781848219953
Издательство: Wiley
Классификация:
ISBN-10: 1848219954
Обложка/Формат: Hardback
Страницы: 254
Вес: 0.58 кг.
Дата издания: 08.04.2016
Серия: Mathematics
Язык: English
Иллюстрации: Black & white illustrations
Размер: 166 x 242 x 21
Читательская аудитория: Professional & vocational
Ключевые слова: Mathematics
Подзаголовок: Polynomial regression and approximation theory
Ссылка на Издательство: Link
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Поставляется из: Англии
Описание:

This book is the first of a series which focuses on the interpolation and extrapolation of optimal designs, an area with significant applications in engineering, physics, chemistry and most experimental fields.

In this volume, the authors emphasize the importance of problems associated with the construction of design. After a brief introduction on how the theory of optimal designs meets the theory of the uniform approximation of functions, the authors introduce the basic elements to design planning and link the statistical theory of optimal design and the theory of the uniform approximation of functions.

The appendices provide the reader with material to accompany the proofs discussed throughout the book.




Approximation Methods in Probability Theory

Автор: ?ekanavi?ius
Название: Approximation Methods in Probability Theory
ISBN: 3319340719 ISBN-13(EAN): 9783319340715
Издательство: Springer
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Цена: 7965.00 р.
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Описание: This book presents a wide range of well-known and less common methods used for estimating the accuracy of probabilistic approximations, including the Esseen type inversion formulas, the Stein method as well as the methods of convolutions and triangle function. Emphasising the correct usage of the methods presented, each step required for the proofs is examined in detail. As a result, this textbook provides valuable tools for proving approximation theorems.While Approximation Methods in Probability Theory will appeal to everyone interested in limit theorems of probability theory, the book is particularly aimed at graduate students who have completed a standard intermediate course in probability theory. Furthermore, experienced researchers wanting to enlarge their toolkit will also find this book useful.

Stability, Approximation, and Decomposition in Two- and Multistage Stochastic Programming

Автор: Christian K?chler
Название: Stability, Approximation, and Decomposition in Two- and Multistage Stochastic Programming
ISBN: 3834809217 ISBN-13(EAN): 9783834809216
Издательство: Springer
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Цена: 14673.00 р.
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Описание: Christian Kuchler studies various aspects of the stability of stochastic optimization problems as well as approximation and decomposition methods in stochastic programming. In particular, the author presents an extension of the Nested Benders decomposition algorithm related to the concept of recombining scenario trees.

Scattered Data Approximation

Автор: Holger Wendland
Название: Scattered Data Approximation
ISBN: 0521843359 ISBN-13(EAN): 9780521843355
Издательство: Cambridge Academ
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Цена: 17424.00 р.
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Описание: A complete self-contained introduction to the theory of scattered data approximation. Written with graduates and researchers in mind, the text brings together much of the necessary background material into a single treatment and provides students with complete proofs to the theory developed within.


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