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。

《高等代数简明教程》共十二章，分上、下两册出版。
上册（第一章至第五章）是线性代数的基础教材，内容包括向量空间、矩阵、行列式、线性空间与线性变换、双线性函数与二次型。每个章节都安排了相当数量的习题作为课外练习或习题课上选用，其中的计算题在书末附有答案，较难的题则有提示。
本书可作为综合大学、高等师范院校数学系、力学系、应用数学系大学生高等代数课程的教材或教学参考书，对于青年教师、数学工作者也是很好的教学参考书或学习用书。

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.

New edition extensively revised and updated
Covers new topics such as product spaces, quotient spaces, and dual spaces
Features new visually appealing format for both print and electronic versions
Includes almost three times the number of exercises as the previous edition
This best-selling textbook for a second course in linear algebra is aimed at undergrad math majors and graduate students. The novel approach taken here banishes determinants to the end of the book. The text focuses on the central goal of linear algebra: understanding the structure of linear operators on finite-dimensional vector spaces. The author has taken unusual care to motivate concepts and to simplify proofs. A variety of interesting exercises in each chapter helps students understand and manipulate the objects of linear algebra.
The third edition contains major improvements and revisions throughout the book. More than 300 new exercises have been added since the previous edition. Many new examples have been added to illustrate the key ideas of linear algebra. New topics covered in the book include product spaces, quotient spaces, and dual spaces. Beautiful new formatting creates pages with an unusually pleasant appearance in both print and electronic versions.
No prerequisites are assumed other than the usual demand for suitable mathematical maturity. Thus the text starts by discussing vector spaces, linear independence, span, basis, and dimension. The book then deals with linear maps, eigenvalues, and eigenvectors. Inner-product spaces are introduced, leading to the finite-dimensional spectral theorem and its consequences. Generalized eigenvectors are then used to provide insight into the structure of a linear operator.
From reviews of previous editions:
“… a didactic masterpiece”
—Zentralblatt MATH
“… a tour de force in the service of simplicity and clarity … The most original linear algebra book to appear in years, it certainly belongs in every undergraduate library.”
—CHOICE
The determinant-free proofs are elegant and intuitive.
—American Mathematical Monthly
“Clarity through examples is emphasized … the text is ideal for class exercises … I congratulate the author and the publisher for a well-produced textbook on linear algebra.”
—Mathematical Reviews

Renowned professor and author Gilbert Strang demonstrates that linear algebra is a fascinating subject by showing both its beauty and value. While the mathematics is there, the effort is not all concentrated on proofs. Strang's emphasis is on understanding. He explains concepts, rather than deduces. This book is written in an informal and personal style and teaches real mathematics. The gears change in Chapter 2 as students reach the introduction of vector spaces. Throughout the book, the theory is motivated and reinforced by genuine applications, allowing pure mathematicians to teach applied mathematics.

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。

本书是高等院校高等代数课程的学习用书，内容包括两大部分：一是线性代数，包括向量空间和矩阵，行列式，抽象线性空间和线性变换，双线性函数和二次型，带度量的线性空间，若尔当标准形理论；二是一元和多元多项式。书中对课程学习和教学中的难点作了详细的剖析和讲解，同时精选了许多典型例题以增进读者对所学知识的理解，提高分析、处理问题的能力。本书讲述的内容涵盖了国内通常使用的一般高等代数教材，特别是作者编写的《高等代数简明教程（上、下册）》（北京大学出版社，2002）的教学要求，因而也适合作为这些教材的学习指导书。
本书可作为大学本科学生学习高等代数的辅导书及教师教学参考书，对青年教师及准备报考研究生或已进入硕士研究生阶段学习的学生复习、提高代数课程知识也是基本参考用书。

《矩阵分析与应用（第2版）》系统、全面地介绍矩阵分析的主要理论、具有代表性的方法及一些典型应用。全书共10章，内容包括矩阵代数基础、特殊矩阵、矩阵微分、梯度分析与最优化、奇异值分析、矩阵方程求解、特征分析、子空间分析与跟踪、投影分析、张量分析。前3章为全书的基础，组成矩阵代数；后7章介绍矩阵分析的主体内容及典型应用。为了方便读者对数学理论的理解以及培养应用矩阵分析进行创新应用的能力，《矩阵分析与应用（第2版）》始终贯穿一条主线一一物理问题“数学化”，数学结果“物理化”。与第1版相比，《矩阵分析与应用（第2版）》的篇幅有明显的删改和压缩，大量补充了近几年发展迅速的矩阵分析新理论、新方法及新应用。
《矩阵分析与应用（第2版）》为北京市高等教育精品教材重点立项项目，适合于需要矩阵知识比较多的理科和工科尤其是信息科学与技术（电子、通信、自动控制、计算机、系统工程、模式识别、信号处理、生物医学、生物信息）等各学科有关教师、研究生和科技人员教学、自学或进修之用。

《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。

The present volume is the second in the author's series of three dealing with abstract algebra. For an understanding of this volume a certain familiarity with the basic concepts treated in Volume I￡ogroups, rings, fields, homomorphisms, is presup-posed. However, we have tried to make this account of linear algebra independent of a detailed knowledge of our first volume.References to specific results are given occasionally but some of the fundamental concepts needed have been treated again. In short, it is hoped that this volume can be read with complete understanding by any 'student who is mathematically sufficiently mature and who has a familiarity with the standard notions of modern algebra.
此书为英文版！

本书与普通高等教育国家级规划教材《高等代数》（第2版，上册）（丘维声主编，高等教育出版社出版）配套，是编者多年来在北京大学从事高等代数教学工作的结晶。全书共有6章，每章节主体结构包括内容精华、典型例题、习题三部分，章末还有补充题。本书阐述了高等代数的理论，总结了高等代数中重要的典型题型及考研题型，提炼了解题的规律、方法和技巧，旨在通过对理论的阐述以及解题方法和技巧的分析，使读者能掌握理论，举一反三、触类旁通。本书可作为高校大学生及社会自学者学习高等代数的辅导资料，也可供从事高等代数或线性代数教学的教师参考，还可作为工学、理学、经济学、管理学等学科专业硕士生入学考试数学科目的复习用书。本书作为“十五”国家级规划教材《高等代数（第二版）上册》的配套学习指导书，凝聚了作者从事教学工作34年特别是从事高等代数和线性代数教学工作26年的教学经验，是作者多年来在北京大学从事高等代数的教学工作的结晶。本书特色：·本书着力培养学生具有数学的思维方式，提高学生的素质和能力。·本书提供了很多证题思路和解题方法，总结了高等代数中重要的方法和技巧，使读者能举一反三、触类旁通。·本书的内容精华不同于同类图书的内容提要，作者不是罗列概念、定理，而是阐述所要研究的问题和解决问题的途径，揭示事物的内在规律。·本书的典型例题的解题思路和详细解答不同于同类图书的典型例题分析，作者侧重于启发读者的解题思路，增强读者的分析能力，并对题目的意义、解题方法和容易做错的地方予以点评。·本书习题丰富多采，既有与教学要求配套的题目，又有增强读者的分析能力和开阔眼界的题目。

This volume contains a collection of clever mathematical applications of linear algebra, mainly in combinatorics, geometry, and algorithms. Each chapter covers a single main result with motivation and full proof in at most ten pages and can be read independently of all other chapters (with minor exceptions), assuming only a modest background in linear algebra. The topics include a number of well-known mathematical gems, such as Hamming codes, the matrix-tree theorem, the Lovasz bound on the Shannon capacity, and a counterexample to Borsuk's conjecture, as well as other, perhaps less popular but similarly beautiful results, e.g., fast associativity testing, a lemma of Steinitz on ordering vectors, a monotonicity result for integer partitions, or a bound for set pairs via exterior products. The simpler results in the first part of the book provide ample material to liven up an undergraduate course of linear algebra. The more advanced parts can be used for a graduate course of linear-algebraic methods or for seminar presentations. Table of Contents: Fibonacci numbers, quickly; Fibonacci numbers, the formula; The clubs of Oddtown; Same-size intersections; Error-correcting codes; Odd distances; Are these distances Euclidean?; Packing complete bipartite graphs; Equiangular lines; Where is the triangle?; Checking matrix multiplication; Tiling a rectangle by squares; Three Petersens are not enough; Petersen, Hoffman-Singleton, and maybe 57; Only two distances; Covering a cube minus one vertex; Medium-size intersection is hard to avoid; On the difficulty of reducing the diameter; The end of the small coins; Walking in the yard; Counting spanning trees; In how many ways can a man tile a board?; More bricks--more walls?; Perfect matchings and determinants; Turning a ladder over a finite field; Counting compositions; Is it associative?; The secret agent and umbrella; Shannon capacity of the union: a tale of two fields; Equilateral sets; Cutting cheaply using eigenvectors; Rotating the cube; Set pairs and exterior products; Index. (STML/53)

自Von Neumann起，将公里化方法应用于有限维向量空间理论，使此理论得到了系统的发展。有限维向量空间理论已成为研究线性泛函分析的主要方法。本书通过更一般理论的方法来讨论有限维向量空间中的线性变换，意在强调数学的很多领域中常见的几何概念及其应用，并用清晰而通俗的表述告诉读者关于积分方程以及Hilbert空间的一些定理的基本证明思想。本书是第二版，与前一版相比，除了一些局部内容的略微调整外，还增加了一些新的内容，例如：域的简论，带有内积的向量空间（特别是欧氏空间）,利用多重线性型理论给出的行列式定义，此外还有大量练习。这些习题是全书内容的重要补充，相信会对读者的学习起到很大的帮助作用。
读者对象：数学专业的本科生