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An Introduction to the Mathematical Theory of Inverse Problems, Kirsch Andreas


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Автор: Kirsch Andreas
Название:  An Introduction to the Mathematical Theory of Inverse Problems
ISBN: 9783030633424
Издательство: Springer
Классификация:

ISBN-10: 303063342X
Обложка/Формат: Hardcover
Страницы: 400
Вес: 0.73 кг.
Дата издания: 19.03.2021
Серия: Applied mathematical sciences
Язык: English
Издание: 3rd ed. 2021
Иллюстрации: 13 illustrations, black and white; xvii, 400 p. 13 illus.; 13 illustrations, black and white; xvii, 400 p. 13 illus.
Размер: 23.88 x 19.56 x 2.03 cm
Читательская аудитория: Professional & vocational
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: The book also presents three special nonlinear inverse problems in detail: the inverse spectral problem, the inverse problem of electrical impedance tomography (EIT), and the inverse scattering problem.

First Course In Integral Equations, A (Second Edition)

Автор: Wazwaz Abdul-Majid
Название: First Course In Integral Equations, A (Second Edition)
ISBN: 9814675121 ISBN-13(EAN): 9789814675123
Издательство: World Scientific Publishing
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Цена: 42240.00 T
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Описание: This second edition integrates the newly developed methods with classical techniques to give both modern and powerful approaches for solving integral equations.

Introduction to the mathematical theory of inverse problems

Автор: Kirsch, Andreas
Название: Introduction to the mathematical theory of inverse problems
ISBN: 1461428513 ISBN-13(EAN): 9781461428510
Издательство: Springer
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Цена: 74490.00 T
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Описание: This book introduces the area of inverse problems. It examines basic notions and difficulties encountered with ill-posed problems and presents two special nonlinear inverse problems in detail: the inverse spectral problem and the inverse scattering problem.

An Introduction to Categorical Data Analysis, 3rd Edition

Автор: Agresti, Alan,
Название: An Introduction to Categorical Data Analysis, 3rd Edition
ISBN: 1119405262 ISBN-13(EAN): 9781119405269
Издательство: Wiley
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Цена: 128780.00 T
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Описание:

A valuable new edition of a standard reference

The use of statistical methods for categorical data has increased dramatically, particularly for applications in the biomedical and social sciences. An Introduction to Categorical Data Analysis, Third Edition summarizes these methods and shows readers how to use them using software. Readers will find a unified generalized linear models approach that connects logistic regression and loglinear models for discrete data with normal regression for continuous data.

Adding to the value in the new edition is:

- Illustrations of the use of R software to perform all the analyses in the book

- A new chapter on alternative methods for categorical data, including smoothing and regularization methods (such as the lasso), classification methods such as linear discriminant analysis and classification trees, and cluster analysis

- New sections in many chapters introducing the Bayesian approach for the methods of that chapter

- More than 70 analyses of data sets to illustrate application of the methods, and about 200 exercises, many containing other data sets

- An appendix showing how to use SAS, Stata, and SPSS, and an appendix with short solutions to most odd-numbered exercises

Written in an applied, nontechnical style, this book illustrates the methods using a wide variety of real data, including medical clinical trials, environmental questions, drug use by teenagers, horseshoe crab mating, basketball shooting, correlates of happiness, and much more.

An Introduction to Categorical Data Analysis, Third Edition is an invaluable tool for statisticians and biostatisticians as well as methodologists in the social and behavioral sciences, medicine and public health, marketing, education, and the biological and agricultural sciences.


The Student`s Introduction to Mathematica and the Wolfram Language

Автор: Bruce F. Torrence, Eve A. Torrence
Название: The Student`s Introduction to Mathematica and the Wolfram Language
ISBN: 110840636X ISBN-13(EAN): 9781108406369
Издательство: Cambridge Academ
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Цена: 51750.00 T
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Описание: This book introduces Mathematica (R) and the Wolfram Language (TM) in the context of the standard university mathematics curriculum. It equips current and former students to harness these tools to explore ideas from pre-calculus, calculus, and linear algebra. Additional chapters on programming and 3D printing provide outlets for further exploration.

Mathematical modeling and computation of real-time problems

Автор: Rakhee Kulshrestha
Название: Mathematical modeling and computation of real-time problems
ISBN: 0367517434 ISBN-13(EAN): 9780367517434
Издательство: Taylor&Francis
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Цена: 163330.00 T
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Описание: This book covers an interdisciplinary approach for understanding mathematical modeling by offering a collection of models, solved problems related to the models the methodologies employed, and the results using projects and case studies with insight into the operation of substantial real-time systems.

Generalized Inverse Operators: And Fredholm Boundary-Value Problems

Автор: Alexander Andreevych Boichuk, Anatolii M. Samoilen
Название: Generalized Inverse Operators: And Fredholm Boundary-Value Problems
ISBN: 3110378396 ISBN-13(EAN): 9783110378399
Издательство: Walter de Gruyter
Цена: 161100.00 T
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Описание: The book is devoted to the foundations of the theory of boundary-value problems for various classes of systems of differential-operator equations whose linear part is represented by Fredholm operators of the general form. A common point of view on numerous classes of problems that were traditionally studied independently of each other enables us to study, in a natural way, the theory of these problems, to supplement and improve the existing results, and in certain cases, study some of these problems for the first time.With the help of the technique of generalized inverse operators, the Vishik– Lyusternik method, and iterative methods, we perform a detailed investigation of the problems of existence, bifurcations, and branching of the solutions of linear and nonlinear boundary-value problems for various classes of differential-operator systems and propose new procedures for their construction.For more than 11 years that have passed since the appearance of the first edition of the monograph, numerous new publications of the authors in this direction have appeared. In this connection, it became necessary to make some additions and corrections to the previous extensively cited edition, which is still of signifi cant interest for the researchers.For researchers, teachers, post-graduate students, and students of physical and mathematical departments of universities. Contents:Preliminary InformationGeneralized Inverse Operators in Banach SpacesPseudoinverse Operators in Hilbert SpacesBoundary-Value Problems for Operator EquationsBoundary-Value Problems for Systems of Ordinary Differential EquationsImpulsive Boundary-Value Problems for Systems of Ordinary Differential EquationsSolutions of Differential and Difference Systems Bounded on the Entire Real Axis

Direct and Inverse Problems of Mathematical Physics

Автор: R.P. Gilbert; Joji Kajiwara; Yongzhi S. Xu
Название: Direct and Inverse Problems of Mathematical Physics
ISBN: 0792360052 ISBN-13(EAN): 9780792360056
Издательство: Springer
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Цена: 153720.00 T
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Описание: This volume consists of papers presented in the special sessions on "Wave Phenomena and Related Topics", and "Asymptotics and Homogenization" of the ISAAC`97 Congress held at the University of Delaware, during June 2-7, 1997.

Direct and Inverse Problems of Mathematical Physics

Автор: R.P. Gilbert; Joji Kajiwara; Yongzhi S. Xu
Название: Direct and Inverse Problems of Mathematical Physics
ISBN: 144194818X ISBN-13(EAN): 9781441948182
Издательство: Springer
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Цена: 153720.00 T
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Описание: This volume consists of papers presented in the special sessions on "Wave Phenomena and Related Topics", and "Asymptotics and Homogenization" of the ISAAC`97 Congress held at the University of Delaware, during June 2-7, 1997.

An Introduction to Data Analysis and Uncertainty Quantification for Inverse Problems

Автор: Luis Tenorio
Название: An Introduction to Data Analysis and Uncertainty Quantification for Inverse Problems
ISBN: 1611974917 ISBN-13(EAN): 9781611974911
Издательство: Mare Nostrum (Eurospan)
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Цена: 61870.00 T
Наличие на складе: Невозможна поставка.
Описание: Inverse problems are found in many applications, such as medical imaging, engineering, astronomy, and geophysics, among others. To solve an inverse problem is to recover an object from noisy, usually indirect observations. Solutions to inverse problems are subject to many potential sources of error introduced by approximate mathematical models, regularization methods, numerical approximations for efficient computations, noisy data, and limitations in the number of observations; thus it is important to include an assessment of the uncertainties as part of the solution. Such assessment is interdisciplinary by nature, as it requires, in addition to knowledge of the particular application, methods from applied mathematics, probability, and statistics.This book bridges applied mathematics and statistics by providing a basic introduction to probability and statistics for uncertainty quantification in the context of inverse problems, as well as an introduction to statistical regularization of inverse problems. The author covers basic statistical inference, introduces the framework of ill-posed inverse problems, and explains statistical questions that arise in their applications.An Introduction to Data Analysis and Uncertainty Quantification for Inverse Problems includes:many examples that explain techniques which are useful to address general problems arising in uncertainty quantification; Bayesian and non-Bayesian statistical methods and discussions of their complementary roles; and analysis of a real data set to illustrate the methodology covered throughout the book.Audience: This book is intended for senior undergraduates and beginning graduate students in mathematics, engineering and physical sciences. The material spans from undergraduate statistics and probability to data analysis for inverse problems and probability distributions on infinite-dimensional spaces. It is also intended for researchers working on inverse problems and uncertainty quantification in geophysics, astrophysics, physics, and engineering. Because the statistical and probability methods covered have applications beyond inverse problems, the book may also be of interest to those people working in data science or in other applications of uncertainty quantification.

Computational Methods for Applied Inverse Problems

Автор: Yanfei Wang, Anatoly G. Yagola, Changchun Yang
Название: Computational Methods for Applied Inverse Problems
ISBN: 3110259044 ISBN-13(EAN): 9783110259049
Издательство: Walter de Gruyter
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Цена: 198290.00 T
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Описание: The Inverse and Ill-Posed Problems Series is a series of monographs publishing postgraduate level information on inverse and ill-posed problems for an international readership of professional scientists and researchers. The series aims to publish works which involve both theory and applications in, e.g., physics, medicine, geophysics, acoustics, electrodynamics, tomography, and ecology.

Inverse Problems in the Theory of Small Oscillations

Автор: Vladimir Marchenko, Victor Slavin
Название: Inverse Problems in the Theory of Small Oscillations
ISBN: 1470448904 ISBN-13(EAN): 9781470448905
Издательство: Mare Nostrum (Eurospan)
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Цена: 137940.00 T
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Описание: Inverse problems of spectral analysis deal with the reconstruction of operators of the specified form in Hilbert or Banach spaces from certain of their spectral characteristics. An interest in spectral problems was initially inspired by quantum mechanics. The main inverse spectral problems have been solved already for Schrodinger operators and for their finite-difference analogues, Jacobi matrices.This book treats inverse problems in the theory of small oscillations of systems with finitely many degrees of freedom, which requires finding the potential energy of a system from the observations of its oscillations. Since oscillations are small, the potential energy is given by a positive definite quadratic form whose matrix is called the matrix of potential energy. Hence, the problem is to find a matrix belonging to the class of all positive definite matrices. This is the main difference between inverse problems studied in this book and the inverse problems for discrete analogues of the Schrodinger operators, where only the class of tridiagonal Hermitian matrices are considered.

Multidimensional Inverse and Ill-Posed Problems for Differential Equations

Автор: Yu. E. Anikonov
Название: Multidimensional Inverse and Ill-Posed Problems for Differential Equations
ISBN: 3110346664 ISBN-13(EAN): 9783110346664
Издательство: Walter de Gruyter
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Цена: 123910.00 T
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Описание: The Inverse and Ill-Posed Problems Series is a series of monographs publishing postgraduate level information on inverse and ill-posed problems for an international readership of professional scientists and researchers. The series aims to publish works which involve both theory and applications in, e.g., physics, medicine, geophysics, acoustics, electrodynamics, tomography, and ecology.


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