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Titlebook: Matrices; Theory and Applicati Denis Serre Textbook 20021st edition Springer Science+Business Media New York 2002 Eigenvalue.Matrix.algebra

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樓主
發(fā)表于 2025-3-21 18:55:09 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Matrices
副標題Theory and Applicati
編輯Denis Serre
視頻videohttp://file.papertrans.cn/628/627721/627721.mp4
概述Includes supplementary material:
叢書名稱Graduate Texts in Mathematics
圖書封面Titlebook: Matrices; Theory and Applicati Denis Serre Textbook 20021st edition Springer Science+Business Media New York 2002 Eigenvalue.Matrix.algebra
描述.In this book, Denis Serre begins by providing a clean and concise introduction to the basic theory of matrices. He then goes on to give many interesting applications of matrices to different aspects of mathematics and also other areas of science and engineering...The book mixes together algebra, analysis, complexity theory and numerical analysis. As such, this book will provide many scientists, not just mathematicians, with a useful and reliable reference. It is intended for advanced undergraduate and graduate students with either applied or theoretical goals. This book is based on a course given by the author at the Ecole Normale Supérieure de Lyon..
出版日期Textbook 20021st edition
關(guān)鍵詞Eigenvalue; Matrix; algebra; matrices; numerical analysis; matrix theory
版次1
doihttps://doi.org/10.1007/b98899
isbn_ebook978-0-387-22758-0Series ISSN 0072-5285 Series E-ISSN 2197-5612
issn_series 0072-5285
copyrightSpringer Science+Business Media New York 2002
The information of publication is updating

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沙發(fā)
發(fā)表于 2025-3-21 21:57:39 | 只看該作者
Square Matrices,it is useful to consider matrices with entries in a ring. This allows us to consider matrices with entries in ? (rational integers) as well as in .[.] (polynomials with coefficients in .). We shall assume that the ring . of scalars is a commutative (meaning that the multiplication is commutative) in
板凳
發(fā)表于 2025-3-22 00:23:06 | 只看該作者
地板
發(fā)表于 2025-3-22 05:39:45 | 只看該作者
Norms, the eigenvalues of .: .When . =?, one takes into account the complex eigenvalues when computing .(.)..The scalar (if . =?) or Hermitian (if . =?) product on . is denoted by .. The vector space . is endowed with various norms, pairwise equivalent since . has finite dimension (Proposition 4.1.3 below
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發(fā)表于 2025-3-22 20:14:46 | 只看該作者
Matrix Factorizations,many times with various values of b. In the next chapter we shall study iterative methods for the case .=? or ?. Here we concentrate on a simple idea: To decompose . as a product . in such a way that the resolution of the intermediate systems . = . and . = . is “cheap”. In general, at least one of t
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發(fā)表于 2025-3-22 22:48:24 | 只看該作者
Iterative Methods for Linear Problems,. is invertible. For example, if . admits an . factorization, the successive resolution of . = ., . = . is called the .. When a leading principal minor of . vanishes, a permutation of the columns allows us to return to the generic case. More generally, the Gauss method with pivoting consists in perm
9#
發(fā)表于 2025-3-23 02:58:13 | 只看該作者
Approximation of Eigenvalues,ute the characteristic polynomial and then find its roots, turns out to be hopeless because of Abel’s theorem, which states that the general equation . = 0, where . is a polynomial of degree . ≥ 5, is not solvable using algebraic operations and roots of any order. For this reason, there e xists no d
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發(fā)表于 2025-3-23 08:23:47 | 只看該作者
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