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Generalized Inverses, Adi Ben-Israel; Thomas N.E. Greville


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Автор: Adi Ben-Israel; Thomas N.E. Greville
Название:  Generalized Inverses
ISBN: 9781441918147
Издательство: Springer
Классификация:


ISBN-10: 1441918140
Обложка/Формат: Paperback
Страницы: 420
Вес: 0.61 кг.
Дата издания: 29.11.2010
Серия: CMS Books in Mathematics
Язык: English
Размер: 234 x 156 x 23
Основная тема: Mathematics
Подзаголовок: Theory and Applications
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: 1. The Inverse of a Nonsingular Matrix It is well known that every nonsingular matrix A has a unique inverse, ?1 denoted by A, such that ?1 ?1 AA = A A =I, (1) where I is the identity matrix. Of the numerous properties of the inverse matrix, we mention a few. Thus, ?1 ?1 (A ) = A, T ?1 ?1 T (A ) =(A ), ? ?1 ?1 ? (A ) =(A ), ?1 ?1 ?1 (AB) = B A, T ? where A and A, respectively, denote the transpose and conjugate tra- pose of A. It will be recalled that a real or complex number ? is called an eigenvalue of a square matrix A, and a nonzero vector x is called an eigenvector of A corresponding to ?, if Ax = ?x. ?1 Another property of the inverse A is that its eigenvalues are the recip- cals of those of A. 2. Generalized Inverses of Matrices A matrix has an inverse only if it is square, and even then only if it is nonsingular or, in other words, if its columns (or rows) are linearly in- pendent. In recent years needs have been felt in numerous areas of applied mathematics for some kind of partial inverse of a matrix that is singular or even rectangular.


Algebraic Properties of Generalized Inverses

Автор: Dragana S. Cvetkovi??Ili?; Yimin Wei
Название: Algebraic Properties of Generalized Inverses
ISBN: 9811063486 ISBN-13(EAN): 9789811063480
Издательство: Springer
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Цена: 6986.00 р.
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Описание:

Definitions and motivations.- Reverse order law.- Completions of operator matrices and generalized inverses.- Generalized inverses and idempotents.- Drazin inverse of a 2 Ч 2 block matrix.- Additive Results for the Drazin Inverse.- Index.

Combinatorial Matrix Theory and Generalized Inverses of Matrices

Автор: Ravindra B. Bapat; Steve J. Kirkland; K. Manjunath
Название: Combinatorial Matrix Theory and Generalized Inverses of Matrices
ISBN: 813221725X ISBN-13(EAN): 9788132217251
Издательство: Springer
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Цена: 13275.00 р.
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Описание: This book examines two important contemporary areas in linear algebra, namely combinatorial matrix theory and generalized inverses. It covers a wide range of topics of interest such as graph theory, linear algebra, numerical methods and statistical inference.

Combinatorial Matrix Theory and Generalized Inverses of Matr

Автор: Bapat Ravindra B
Название: Combinatorial Matrix Theory and Generalized Inverses of Matr
ISBN: 8132210522 ISBN-13(EAN): 9788132210528
Издательство: Springer
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Цена: 13275.00 р.
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Описание: This book examines two important contemporary areas in linear algebra, namely combinatorial matrix theory and generalized inverses. It covers a wide range of topics of interest such as graph theory, linear algebra, numerical methods and statistical inference.

Projection Matrices, Generalized Inverse Matrices, and Singular Value Decomposition

Автор: Haruo Yanai; Kei Takeuchi; Yoshio Takane
Название: Projection Matrices, Generalized Inverse Matrices, and Singular Value Decomposition
ISBN: 1461428599 ISBN-13(EAN): 9781461428596
Издательство: Springer
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Цена: 15372.00 р.
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Описание: This valuable reference on projectors, generalized inverses, and SVD covers concepts numerous cutting-edge concepts and provides systematic and in-depth accounts of these ideas from the viewpoint of linear transformations of finite dimensional vector spaces.

Inverse problems and high-dimensional estimation

Автор: Eric Gautier and Pierre Alquier
Название: Inverse problems and high-dimensional estimation
ISBN: 3642199887 ISBN-13(EAN): 9783642199882
Издательство: Springer
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Цена: 15372.00 р.
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Описание: The product of a high-flying summer school in Paris in 2009, this volume synthesises the state of the art on ill-posed statistical inverse problems and high-dimensional estimation and explores the ways these techniques can be applied to economics.

Inverse Problems for Partial Differential Equations

Автор: Victor Isakov
Название: Inverse Problems for Partial Differential Equations
ISBN: 3319516574 ISBN-13(EAN): 9783319516578
Издательство: Springer
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Цена: 16769.00 р.
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Описание: By presenting the data in a readable and informative manner, the book introduces both scientific and engineering researchers as well as graduate students to the significant work done in this area in recent years, relating it to broader themes in mathematical analysis.

Inverse problems in ordinary differential equations and applications

Автор: Llibre, Jaume Ramirez, Fellow In Strategy And Director Of The Oxford Scenarios Programme Rafael (department Of Management And Human Resources, Hec-par
Название: Inverse problems in ordinary differential equations and applications
ISBN: 3319263374 ISBN-13(EAN): 9783319263373
Издательство: Springer
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Цена: 13275.00 р.
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Описание: This book is dedicated to study the inverse problem of ordinary differential equations, that is it focuses in finding all ordinary differential equations that satisfy a given set of properties.

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: 11173.00 р.
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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.

Large-Scale Inverse Problems and Quantification of Uncertainty

Автор: Biegler
Название: Large-Scale Inverse Problems and Quantification of Uncertainty
ISBN: 0470697431 ISBN-13(EAN): 9780470697436
Издательство: Wiley
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Цена: 17733.00 р.
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Описание: This book focuses on computational methods for large-scale statistical inverse problems and provides an introduction to statistical Bayesian and frequentist methodologies. Recent research advances for approximation methods are discussed, along with Kalman filtering methods and optimization-based approaches to solving inverse problems.


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