- We will send in 10–14 business days.
/images/books/13724577/9789811343407.jpg)
- Author: Guorong Wang
- Publisher: Springer
- ISBN-10: 9811343403
- ISBN-13: 9789811343407
- Format: 15.6 x 23.4 x 2.1 cm, softcover
- Language: English
- SAVE -10% with code: EXTRA
Reviews
Description
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.
EXTRA 10 % discount with code: EXTRA
The promotion ends in 16d.01:16:02
The discount code is valid when purchasing from 10 €. Discounts do not stack.
- Author: Guorong Wang
- Publisher: Springer
- ISBN-10: 9811343403
- ISBN-13: 9789811343407
- Format: 15.6 x 23.4 x 2.1 cm, softcover
- Language: English English
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.
Reviews