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Titlebook: Linear Algebra; From the Beginnings Toshitsune Miyake Textbook 2022 The Editor(s) (if applicable) and The Author(s), under exclusive licen

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樓主
發(fā)表于 2025-3-21 16:19:35 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Linear Algebra
副標(biāo)題From the Beginnings
編輯Toshitsune Miyake
視頻videohttp://file.papertrans.cn/587/586257/586257.mp4
概述Defines matrices and explains the main topics of linear algebra such as vector spaces and linear mappings.Starts from beginner‘s level and comes to advanced topics such as inner products or the Jordan
圖書封面Titlebook: Linear Algebra; From the Beginnings  Toshitsune Miyake Textbook 2022 The Editor(s) (if applicable) and The Author(s), under exclusive licen
描述The purpose of this book is to explain linear algebra clearly for beginners. In doing so, the author states and explains somewhat advanced topics such as Hermitian products and Jordan normal forms. Starting from the definition of matrices, it is made clear with examples that matrices and matrix operation are abstractions of tables and operations of tables. The author also maintains that systems of linear equations are the starting point of linear algebra, and linear algebra and linear equations are closely connected. The solutions to systems of linear equations are found by solving matrix equations in the row-reduction of matrices, equivalent to the Gauss elimination method of solving systems of linear equations. The row-reductions play important roles in calculation in this book. To calculate row-reductions of matrices, the matrices are arranged vertically, which is seldom seen but is convenient for calculation. Regular matrices and determinants of matrices are defined and explained. Furthermore, the resultants of polynomials are discussed as an application of determinants. Next, abstract vector spaces over a field .K. are defined. In the book, however, mainly vector spaces are co
出版日期Textbook 2022
關(guān)鍵詞matrices and system of linear equations; row-reductions of matrices and determinants of matrices; vect
版次1
doihttps://doi.org/10.1007/978-981-16-6994-1
isbn_softcover978-981-16-6996-5
isbn_ebook978-981-16-6994-1
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
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沙發(fā)
發(fā)表于 2025-3-21 23:39:48 | 只看該作者
https://doi.org/10.1007/978-981-16-6994-1matrices and system of linear equations; row-reductions of matrices and determinants of matrices; vect
板凳
發(fā)表于 2025-3-22 01:04:38 | 只看該作者
地板
發(fā)表于 2025-3-22 07:02:17 | 只看該作者
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發(fā)表于 2025-3-22 12:01:54 | 只看該作者
Matrices,It would be very convenient if we could treat a bundle of several numbers as one number. For such a purpose, we consider matrices and numerical vectors.
6#
發(fā)表于 2025-3-22 13:33:26 | 只看該作者
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發(fā)表于 2025-3-22 20:19:13 | 只看該作者
Determinants,Before explaining determinants, we begin with defining permutations of finite elements. Let . be a set of . elements .. Replacements of elements in . are called . of . elements. Permutations are considered as mappings of . into itself.
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發(fā)表于 2025-3-22 22:18:08 | 只看該作者
Vector Spaces,A non-empty set . is called a . when?it has basic operations, addition and multiplication, satisfying the following properties. Here .,?.,?. are elements of ..
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發(fā)表于 2025-3-23 01:59:42 | 只看該作者
Linear Mappings,One of the simplest functions of real numbers is a proportional function .. Linear mappings can be considered as a generalization of proportional functions to higher-dimensional spaces.
10#
發(fā)表于 2025-3-23 08:36:23 | 只看該作者
Inner Product Spaces,In this chapter, we define and explain the inner products on vector spaces over the real number field .. The matrices we consider are real matrices unless otherwise stated.
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