• 
  力学计量
  ￥27.20

随着计算机技术的发展,线性代数课程的重要性越来越突出。同时,现代软件技术已经为显著改进授课方式提供了可能。本书作者多年讲授线性代数课程,并在教学过程中不断探索更利于学生理解的新教学方法,从而使本书更加适合作为线性代数课程的教材。
本书主要特点:
·理论与应用有机结合。大量的实际应用贯穿于理论讲解的始终,体现了线性代数在各个领域中的广泛应用。
·示例丰富。便于读者理解相关的定义及原理,增强了读者学习的兴趣。
·习题安排科学合理。每一节的后面给出大量的习题,各章后面还有测试题,使学生有更多的演练机会,达到触类旁通的效果。
·紧密结合数学工具MATLAB。每章的后面都有基于MALAB的上机练习,并在附录中介绍了MALAB的基本用法。

PREFACE
1 MATRICES AND SYSTEMS OF EQUATIONS
1 Systems of Linear Equations
2 Row Echelon Form
3 Matrix Algebra
4 Elementary Matrices
S Partitioned Matrices
MATLAB Exercises
Chapter Test A
Chapter Test B
2 DETERMINANTS
1 The Determinant of a Matrix
2 Properties of Determinants
3 Cramer's Rule
MATLAB Exercises
Chapter Test A
Chapter Test B
3 VECTOR SPACES
1 Definition and Examples
2 Subspaces
3 Iinear Independence
4 Basis and Dimension
5 Change of Basis
6 Row Space and Column Space
MATLAB Exercises
Chapter Test A
Chapter Test B
4 LINEAR TRANSFORMATIONS
1 Definition and Examples
2 Matrix Representations of Linear Transformations
3 Similarity
MATLAB Exercises
Chapter Test A
Chapter Test B
5 ORTHOGONALIT
1 The Scalar Product in Rn
2 Orthogonal Subspaces
3 Least Squares Problems
4 Inner Product Spaces
5 Orthonormal Sets
6 The GramSchmidt 0rthogonalization Process
7 Orthogonal Polynomials
MATLAB Exercises
Chapter Test A
Chapter Test B
6 EIGENVALUES
1 Eigenvalues and Eigenvectors
2 Systems of Linear Differential Equations
3 Diagonalization
4 Hermitian Matrices
5 The Singular Value Decomposition
6 Quadratic Forms
7 Positive Definite Matrices
8 Nonnegative Matrices
MATLAB Exercises
Chapter Test A
Chapter Test B
7 NUMERICAL LINEAR ALGEBRA
1 FloatingPoint Numbers
2 Gaussian Elimination
3 Pivoting Strategies
4 Matrix Norms and Condition Numbers
5 Orthogonal Transformations
6 The Eigenvalue Problem
7 Least Squares Problems
MATLAB Exercises
Chapter Test A
Chapter Test B
8 ITERATIVE METHODS
9 CANONICAL FORMS
APPENDIX: MATLAB
BIBLIOGRAPHY
ANSWERS TO SELECTED EXERCISES
INDEX

Steven J.Leon,1971年于密歇根州立大学数学系获得博士学位,现为马萨诸塞大学达特茅斯分校数学系**教授,ILAS(国际线性代数协会)、MAA(美国数学学会)和SIAM(美国工业与应用数学协会)成员。他主要从事科学计算、线性代数和应用数学等领域的研究。