Linear algebra is something all mathematics undergraduates and many other students, in subjects ranging from engineering to economics, have to learn. The fifth edition of this hugely successful textbook retains all the qualities of earlier editions, while at the same time seeing numerous minor improvements and major additions. The latter include: • A new chapter on singular values and singular vectors, including ways to analyze a matrix of data • A revised chapter on computing in linear algebra, with professional-level algorithms and code that can be downloaded for a variety of languages • A new section on linear algebra and cryptography • A new chapter on linear algebra in probability and statistics. A dedicated and active website also offers solutions to exercises as well as new exercises from many different sources (including practice problems, exams, and development of textbook examples), plus codes in MATLAB®, Julia, and Python.

本书主要内容包括线性方程组、矩阵代数、行列式、向量空间、特征值与特征向量、正交性和最小二乘法、对称矩阵和二次型等。此外，本书包含大量的练习题、习题、例题等，便于读者参考。

Gilbert Strang's textbooks have changed the entire approach to learning linear algebra -- away from abstract vector spaces to specific examples of the four fundamental subspaces: the column space and nullspace of A and A'.
Introduction to Linear Algebra, Fourth Edition includes challenge problems to complement the review problems that have been highly praised in previous editions. The basic course is followed by seven applications: differential equations, engineering, graph theory, statistics, fourier methods and the FFT, linear programming, and computer graphics.
Thousands of teachers in colleges and universities and now high schools are using this book, which truly explains this crucial subject.
Chapter 1: Introduction to Vectors; Chapter 2: Solving Linear Equations; Chapter 3: Vector Spaces and Subspaces; Chapter 4: Orthogonality; Chapter 5: Determinants; Chapter 6: Eigenvalues and Eigenvectors; Chapter 7: Linear Transformations; Chapter 8: Applications; Chapter 9: Numerical Linear Algebra; Chapter 10: Complex Vectors and Matrices; Solutions to Selected Exercises; Final Exam. Matrix Factorizations. Conceptual Questions for Review. Glossary: A Dictionary for Linear Algebra Index Teaching Codes Linear Algebra in a Nutshell.

《高等代数学》主要内容为线性代数，包括数与多项式，行列式，线性方程组，矩阵，线性空间，二次型，线性变换，空间分解，矩阵相似，欧空间和酉空间，双线性型；选学内容有正交几何与辛几何，Hilbert空间，张量积与外积等.内容较深厚，便于读者打下优势基础；观点较新，便于读者适应现代数学.还有若干介绍性内容.可作为高校数学、物理、计算机与电子信息等理工专业的教材，或供其他专业参阅。

本书从现代数学，尤其是模的观点来重新审视与认识线性代数，讨论了向量空间、线性变换，在着重研究了主理想整环上的模及其分解后，来重新理解向量空间在线性算子作用下的分解，使读者从高-个层次上来认识线性代数。
本书适合理工科专业的大学生、研究生、教师以及数学爱好者使用。