【二手书】(美国)李W·约翰逊//R·迪安里斯//吉米T·阿诺德9787111106289机械工业2012-07-01线性代数引论(英文版原书第5版)
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作者(美国)李W·约翰逊//R·迪安里斯//吉米T·阿诺德
出版社机械工业
ISBN9787111106289
出版时间2012-07
装帧其他
开本16开
定价59元
货号9787111106289
上书时间2024-10-30
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导语摘要
(美国)李W·约翰逊、R·迪安里斯、吉米T·阿诺德所著的《线性代数引论(英文版原书第5版)》系统新颖、内容丰富、联系实际、语言通畅，且结合数学软件提供了一个现代化的学习环境，相对于国内现行教学大纲，教师便于取舍内容组织教学，不失为一本很好的教科书和教学参考书。本书可供理工科、经济管理各专业学生作为学习线性代数的教科书或教学参考书，也可供科技人员和自学者参考。
目录
MATRICES AND SYSTEMS OF LINEAR EQUATIONS
1.1 Introduction to Matrices and Systems of Linear Equations
1.2 Echelon Form and Gauss-Jordan Elimination
1.3 Consistent Systems of Linear Equations
1.4 Applications (Optional)
1.5 Matrix Operations
1.6 Algebraic Properties of Matrix Operations
1.7 Linear Independence and Nonsingular Matrices
1.8 Data Fitting, Numerical Integration, and Numerical Differentiation (Optional)
1.9 Matrix Inverses and Their Properties
VECTORS IN 2-SPACE AND 3-SPACE
2.1 Vectors in the Plane
2.2 Vectors in Space
2.3 The Dot Product and the Cross Product
2.4 Lines and Planes in Space
THE VECTOR SPACE Rn
3.1 Introduction
3.2 Vector Space Properties of Rn
3.3 Examples of Subspaces
3.4 Bases for Subspaces
3.5 Dimension
3.6 Orthogonal Bases for Subspaces
3.7 Linear Transformations from Rn to Rm
3.8 Least-Squares Solutions to Inconsistent Systems, with Applications to Data Fitting
3.9 Theory and Practice of Least Squares
THE EIGENVALUE PROBLEM
4.1 The Eigenvalue Problem for (2x2) Matrices
4.2 Determinants and the Eigenvalue Problem
4.3 Elementary Operations and Determinants (Optional)
4.4 Eigenvalues and the Characteristic Polynomial
4.5 Eigenvectors and Eigenspaces
4.6 Complex Eigenvalues and Eigenvectors
4.7 Similarity Transformations and Diagonalization
4.8 Difference Equations; Markov Chains; Systems of Differential Equations (Optional)
VECTOR SPACES AND LINEAR TRANSFORMATIONS
5.1 Introduction
5.2 Vector Spaces
5.3 Subspaces
5.4 Linear Independence, Bases, and Coordinates
5.5 Dimension
5.6 Inner-Product Spaces, Orthogonal Bases, and Projections (Optional)
5.7 Linear Transformations
5.8 Operations with Linear Transformations
5.9 Matrix Representations for Linear Transformations
5.10 Change of Basis and Diagonalization
DETERMINANTS
6.1 Introduction
6.2 Cofactor Expansions of Determinants
6.3 Elementary Operations and Determinants
6.4 Cramer's Rule
6.5 Applications of Determinants: Inverses and Wronksians
EIGENVALUES AND APPLICATIONS
7.1 Quadratic Forms
7.2 Systems of Differential Equations
7.3 Transformation to Hessenberg Form
7.4 Eigenvalues of Hessenberg Matrices
7.5 Householder Transformations
7.6 The QR Factorization and Least-Squares Solutions
7.7 Matrix Polynomials and the Cayley-Hamilton Theorem
7.8 Generalized Eigenvectors and Solutions of Systems of Differential Equations
APPENDIX: AN INTRODUCTION TO MATLAB
ANSWERS TO SELECTED ODD-NUMBERED EXERCISES
INDEX
内容摘要
(美国)李W·约翰逊、R·迪安里斯、吉米T·阿诺德所著的《线性代数引论(英文版原书第5版)》内容覆盖了我国现行理工科大学线性代数课程的全部内容，与我国现行的线性代数教学大纲和教材体系比较接近。其中包括矩阵与线性方程组、二维和三维空间、向量空间Rn、特征值问题、向量空间和线性变换、行列式、特征值及其应用等。本书的编写采用模块式结构，便于广大教师根据教学需要对内容进行取舍。本书通过例子介绍了非常流行的教学软件Matlab在线性代数中的应用，并且每章结尾都附有专门用Matlab做的练习题。
《线性代数引论(英文版原书第5版)》可供理工科、经济管理各专业学生作为教科书或参考书。也可供科技人员和自学者参考。
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