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Algebraic Properties of Generalized Inverses, Cvetkovic‐ilic Dragana S., Wei Yimin


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Автор: Cvetkovic‐ilic Dragana S., Wei Yimin
Название:  Algebraic Properties of Generalized Inverses
ISBN: 9789811348624
Издательство: Springer
Классификация:
ISBN-10: 9811348626
Обложка/Формат: Paperback
Страницы: 194
Вес: 0.29 кг.
Дата издания: 11.12.2018
Серия: Developments in mathematics
Язык: English
Издание: Softcover reprint of
Иллюстрации: Viii, 194 p.
Размер: 23.39 x 15.60 x 1.09 cm
Читательская аудитория: Professional & vocational
Ссылка на Издательство: Link
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Поставляется из: Германии
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.




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
Рейтинг:
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.

Generalized inverses.

Название: Generalized inverses.
ISBN: 981130145X ISBN-13(EAN): 9789811301452
Издательство: Springer
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Цена: 11878.00 р.
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Описание: This book begins with the fundamentals of the generalized inverses, then moves to more advanced topics.It presents a theoretical study of the generalization of Cramer's rule, determinant representations of the generalized inverses, reverse order law of the generalized inverses of a matrix product, structures of the generalized inverses of structured matrices, parallel computation of the generalized inverses, perturbation analysis of the generalized inverses, an algorithmic study of the computational methods for the full-rank factorization of a generalized inverse, generalized singular value decomposition, imbedding method, finite method, generalized inverses of polynomial matrices, and generalized inverses of linear operators. This book is intended for researchers, postdocs, and graduate students in the area of the generalized inverses with an undergraduate-level understanding of linear algebra.

Numerical and Symbolic Computations of Generalized Inverses

Автор: Wei Yimin, Stanimirovic Predrag, Petkovic Marko
Название: Numerical and Symbolic Computations of Generalized Inverses
ISBN: 9813238666 ISBN-13(EAN): 9789813238664
Издательство: World Scientific Publishing
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Цена: 35382.00 р.
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Описание:

We introduce new methods connecting numerics and symbolic computations, i.e., both the direct and iterative methods as well as the symbolic method for computing the generalized inverses. These will be useful for Engineers and Statisticians, in addition to applied mathematicians.

Also, main applications of generalized inverses will be presented. Symbolic method covered in our book but not discussed in other book, which is important for numerical-symbolic computations.

Generalized Inverses: Theory and Computations

Автор: Guorong Wang; Yimin Wei; Sanzheng Qiao
Название: Generalized Inverses: Theory and Computations
ISBN: 9811343403 ISBN-13(EAN): 9789811343407
Издательство: Springer
Рейтинг:
Цена: 11878.00 р.
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Описание: This book begins with the fundamentals of the generalized inverses, then moves to more advanced topics.It presents a theoretical study of the generalization of Cramer's rule, determinant representations of the generalized inverses, reverse order law of the generalized inverses of a matrix product, structures of the generalized inverses of structured matrices, parallel computation of the generalized inverses, perturbation analysis of the generalized inverses, an algorithmic study of the computational methods for the full-rank factorization of a generalized inverse, generalized singular value decomposition, imbedding method, finite method, generalized inverses of polynomial matrices, and generalized inverses of linear operators. This book is intended for researchers, postdocs, and graduate students in the area of the generalized inverses with an undergraduate-level understanding of linear algebra.

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.

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.

Generalized Inverses

Автор: Adi Ben-Israel; Thomas N.E. Greville
Название: Generalized Inverses
ISBN: 1441918140 ISBN-13(EAN): 9781441918147
Издательство: Springer
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Цена: 9357.00 р.
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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.

{2}-Inverses and Their Statistical Application

Автор: Albert J. Getson; Francis C. Hsuan
Название: {2}-Inverses and Their Statistical Application
ISBN: 0387968490 ISBN-13(EAN): 9780387968490
Издательство: Springer
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Цена: 16070.00 р.
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Описание: Much of the traditional approach to linear model analysis is bound up in complex matrix expressions revolving about the usual generalized inverse. Initially this research was begun by Francis Hsuan and Pat Langenberg, without knowledge of Kruskal`s paper published in 1975.

Group Inverses of M-Matrices and Their Applications

Автор: Kirkland, Stephen J. , Neumann, Michael
Название: Group Inverses of M-Matrices and Their Applications
ISBN: 036738048X ISBN-13(EAN): 9780367380489
Издательство: Taylor&Francis
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Цена: 9798.00 р.
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Описание:

Group inverses for singular M-matrices are useful tools not only in matrix analysis, but also in the analysis of stochastic processes, graph theory, electrical networks, and demographic models. Group Inverses of M-Matrices and Their Applications highlights the importance and utility of the group inverses of M-matrices in several application areas.





After introducing sample problems associated with Leslie matrices and stochastic matrices, the authors develop the basic algebraic and spectral properties of the group inverse of a general matrix. They then derive formulas for derivatives of matrix functions and apply the formulas to matrices arising in a demographic setting, including the class of Leslie matrices. With a focus on Markov chains, the text shows how the group inverse of an appropriate M-matrix is used in the perturbation analysis of the stationary distribution vector as well as in the derivation of a bound for the asymptotic convergence rate of the underlying Markov chain. It also illustrates how to use the group inverse to compute and analyze the mean first passage matrix for a Markov chain. The final chapters focus on the Laplacian matrix for an undirected graph and compare approaches for computing the group inverse.





Collecting diverse results into a single volume, this self-contained book emphasizes the connections between problems arising in Markov chains, Perron eigenvalue analysis, and spectral graph theory. It shows how group inverses offer valuable insight into each of these areas.

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 Applications

Автор: Larisa Beilina
Название: Inverse Problems and Applications
ISBN: 3319349392 ISBN-13(EAN): 9783319349398
Издательство: Springer
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Цена: 13974.00 р.
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Описание: ГЇВїВЅ ГЇВїВЅ This volume arose from the Third Annual Workshop on Inverse Problems, held in Stockholm on May 2-6, 2012. The proceedings present new analytical developments and numerical methods for solutions of inverse and ill-posed problems, which consistently pose complex challenges to the development of effective numerical methods.


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