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標(biāo)題: Titlebook: Basic Linear Algebra; Thomas S. Blyth,Edmund F. Robertson Textbook 19981st edition Springer-Verlag London 1998 Eigenvalue.Eigenvector.Matr [打印本頁(yè)]

作者: negation    時(shí)間: 2025-3-21 19:47
書目名稱Basic Linear Algebra影響因子(影響力)




書目名稱Basic Linear Algebra影響因子(影響力)學(xué)科排名




書目名稱Basic Linear Algebra網(wǎng)絡(luò)公開(kāi)度




書目名稱Basic Linear Algebra網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書目名稱Basic Linear Algebra被引頻次




書目名稱Basic Linear Algebra被引頻次學(xué)科排名




書目名稱Basic Linear Algebra年度引用




書目名稱Basic Linear Algebra年度引用學(xué)科排名




書目名稱Basic Linear Algebra讀者反饋




書目名稱Basic Linear Algebra讀者反饋學(xué)科排名





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作者: 責(zé)任    時(shí)間: 2025-3-22 21:57
Biochemical Basis of Herbicide Resistance,In order to proceed further with matrices we have to take a wider view of matters. This we do through the following important notion.
作者: countenance    時(shí)間: 2025-3-23 03:34
Biochemical Basis of Herbicide Resistance,In the study of any algebraic structure there are two concepts that are of paramount importance. The first is that of a . (i.e. a subset with the same type of structure), and the second is that of a . (i.e. a mapping from one structure to another of the same kind that is ‘structure-preserving’).
作者: SPASM    時(shí)間: 2025-3-23 05:40
https://doi.org/10.1007/978-3-642-79107-9We shall now proceed to show how a linear mapping from one finite-dimensional vector space to another can be represented by a matrix. For this purpose, we require the following notion.
作者: 分散    時(shí)間: 2025-3-23 11:48
https://doi.org/10.1007/978-3-642-79107-9In what follows it will be convenient to write an . × . matrix A in the form . where, as before, .., represents the .-th column of .. Also, the letter . will signify either the field ?; of real numbers or the field ? of complex numbers.
作者: Congruous    時(shí)間: 2025-3-23 15:15
Sylvie Cabrit,Alex Raga,Frederic GuethIn Chapter 9 we introduced the notions of . and . of a matrix or of a linear mapping. There we concentrated our attention on showing the importance of these notions in solving particular problems. Here we shall take a closer algebraic look.
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作者: 外形    時(shí)間: 2025-3-24 01:28
Some Applications of Matrices,We shall now give brief descriptions of some situations to which matrix theory finds a natural application, and some problems to which the solutions are determined by the algebra that we have developed. Some of these applications will be dealt with in greater detail in later chapters.
作者: 一美元    時(shí)間: 2025-3-24 04:36
Systems of Linear Equations,We shall now consider in some detail a systematic method of solving systems of linear equations. In working with such systems, there are three basic operations involved:
作者: 字形刻痕    時(shí)間: 2025-3-24 10:24
Invertible Matrices,In Theorem 1.3 we showed that every . matrix . has an additive inverse, denoted by ?A, which is the unique . × . matrix . that satisfies the equation . + . = 0. We shall now consider the multiplicative analogue of this.
作者: ethnology    時(shí)間: 2025-3-24 11:18

作者: 一致性    時(shí)間: 2025-3-24 18:31
Linear Mappings,In the study of any algebraic structure there are two concepts that are of paramount importance. The first is that of a . (i.e. a subset with the same type of structure), and the second is that of a . (i.e. a mapping from one structure to another of the same kind that is ‘structure-preserving’).
作者: 獨(dú)輪車    時(shí)間: 2025-3-24 20:05
The Matrix Connection,We shall now proceed to show how a linear mapping from one finite-dimensional vector space to another can be represented by a matrix. For this purpose, we require the following notion.
作者: Lime石灰    時(shí)間: 2025-3-25 01:08
Determinants,In what follows it will be convenient to write an . × . matrix A in the form . where, as before, .., represents the .-th column of .. Also, the letter . will signify either the field ?; of real numbers or the field ? of complex numbers.
作者: 匍匐前進(jìn)    時(shí)間: 2025-3-25 06:20
The Minimum Polynomial,In Chapter 9 we introduced the notions of . and . of a matrix or of a linear mapping. There we concentrated our attention on showing the importance of these notions in solving particular problems. Here we shall take a closer algebraic look.
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作者: 颶風(fēng)    時(shí)間: 2025-3-25 12:12
Springer Undergraduate Mathematics Serieshttp://image.papertrans.cn/b/image/181056.jpg
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作者: chuckle    時(shí)間: 2025-3-25 20:21
https://doi.org/10.1007/978-94-011-5608-0under what conditions an . × . matrix is similar to a diagonal matrix. In so doing we shall draw together all of the notions that have been previously developed. Unless otherwise specified, . will denote an . × . matrix over ? or ?.
作者: 口音在加重    時(shí)間: 2025-3-26 03:55
Basic Linear Algebra978-1-4471-3496-1Series ISSN 1615-2085 Series E-ISSN 2197-4144
作者: Benign    時(shí)間: 2025-3-26 05:58
https://doi.org/10.1007/978-94-011-5608-0under what conditions an . × . matrix is similar to a diagonal matrix. In so doing we shall draw together all of the notions that have been previously developed. Unless otherwise specified, . will denote an . × . matrix over ? or ?.
作者: 有害處    時(shí)間: 2025-3-26 12:13
1615-2085 tensively updated to include further explanatory text and fully worked solutions to the exercises that all 1st year students should be able to answer.978-1-4471-3496-1Series ISSN 1615-2085 Series E-ISSN 2197-4144
作者: 體貼    時(shí)間: 2025-3-26 16:29
Textbook 19981st editionook explains the algebra of matrices with applications to analytic geometry, systems of linear equations, difference equations, and complex numbers. Linear equations are treated via Hermite normal forms, which provides a successful and concrete explanation of the notion of linear independence. Anoth
作者: BLAZE    時(shí)間: 2025-3-26 18:06
1615-2085 s include treating linear equations via Hermite normal forms.Basic Linear Algebra. is a text for first year students, working from concrete examples towards abstract theorems, via tutorial-type exercises. The book explains the algebra of matrices with applications to analytic geometry, systems of li
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