《全国硕士研究生入学考试用书:线性代数辅导讲义(2010版)》此次修订篇幅有所调整，除了补充、更换、编写了一些新题之外，针对同学们不太好理解，或不大注意的地方，我们在评注中增加了较多的题外话，同时也对全书的结构做了调整。《线性代数辅导讲义》是为准备考研的同学复习线性代数而编写的一本辅导讲义，由编者近年来辅导班笔记改写而成。全书共分六章及一个附录，每章均由知识结构网络图、基本内容与重要结论、典型例题分析选讲，以及练习题精选四部分组成。《线性代数辅导讲义》在章节的顺序安排和内容取舍上与教材略有不同，主要是为了方便同学们总结归纳以及更好地掌握知识间的相互渗透与转换。 《线性代数辅导讲义》力求在较短的时间内，用不多的篇幅，帮助同学们搞清基本概念、掌握基本理论和公式、了解重点和难点并澄清一些常犯的错误与疑惑。一方面，通过对典型例题的分析讲评，帮助同学们梳理解题的思路、熟悉常用的方法和技巧；另一方面，精编适量的练习题，帮助同学们更好地理解和掌握基本内容、基本解题方法，达到巩固、悟新与提高的目的。另外，题后的点评与评注，其目的在于帮助同学们弄清重点、难点、知识结合点以及解题的基本方法和应注意的问题。《线性代数辅导讲义》也可作为大一新生学习线性代数时的参考书。

《简明线性代数》2004年被评为“北京高等教育精品教材”。《简明线性代数》是高等学校数学基础课“线性代数”课程的教材。全书共分九章。内容包括：线性方程组，行列式，n元有序数组的向量空间，矩阵的运算，矩阵的相抵与相似，二次型与矩阵的合同，线性空间，线性映射，欧几里得空间和酉空间。《简明线性代数》按节配置适量习题，书末附有习题答案与提示，供教师和学生参考。 《简明线性代数》既科学地阐述了线性代数的基本内容，又深入浅出、简明易懂。《简明线性代数》精选了线性代数的内容，由具体到抽象地安排讲授体系，这使综合大学和师范院校的理科学生能由浅入深地学完全书；同时又使工科大学，经济类高校，以及大专院校学生只要学习《简明线性代数》前六章或前四章就可了解线性代数的概貌，掌握其最基本的内容。 《简明线性代数》在讲授知识的同时，注重培养学生数学的思维方式。《简明线性代数》内容按照数学的思维方式组织和编写，既使学生容易学到知识，又使学生从中受到数学思维方式的熏陶，把今后肩负的工作做好，使学生终身受益。 《简明线性代数》可作为综合大学、师范院校、工科大学、经济类高校、大专院校以及自学考试的线性代数课程的教材。教师可根据周学时数选用：周学时4可讲授全书各章；周学时3可讲授前六章；周学时2可讲授前四童。 点击链接进入旧版： 简明线性代数

《高等代数简明教程》(下册)(第2版)是综合大学、师范院校高等代数课程教学用书。《高等代数简明教程》(下册)(第2版)第一版被评为普通高等教育“十五”国家级规划教材，北京市高等教育精品教材立项项目。此教材有两个特色：一是贴切课堂教学和学生自学的实际，由浅入深，从具体到抽象，由生动直观到理性推理，使学生较为顺利地进入代数学的抽象领域；二是以代数学的研究对象和基本思想、基本方法作为全书的主线，从而保证学生受到较充分的代数学训练，在理论上达到足够的深度和高度。其科学内容符合作为现代代数学入门课程的教材所应达到的水准。第二版对全书作了系统、全面的修订，使这两个特色更臻完善。全书共十二章，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。下册（第六章至第十二章）包括三方面内容：一是带度量的线性空间及Jordan标准形；二是有理整数环及一元、多元多项式环，第二版中又增加了介绍群、环和域的基本概念的内容；三是n维仿射空间与n维射影空间，张量积与外代数。

《线性代数》为高等院校理工科教材，全书共7章，内容包括：行列式；矩阵；线性方程组；向量空间与线性变换；特征值和特征向量，矩阵的对角化；二次型及应用问题，书末附录中还介绍了内积空间，埃尔米特二次型；约当（Jordan）标准形；并汇编了历年硕士研究生入学考试中的线生代数试题。

【内容简介】 本书第四版仍由同济大学应用数学系骆承钦教授承担修订工作。这次修订从教学角度进行仔细推敲，增加了部分内容，增加了习题，使内容和系统更加完整，也便于教学。 本书内容为：行列式、矩阵及其运算、矩阵的初等变换与线性方程组、向量组的线性相关性、相似矩阵及二次型、线性空间与线性变换等六章，书末附有习题答案。 本书仍保留了第三版结构严谨、逻辑清晰、叙述简明、例题较多等优点，可供高等工科院校各专业使用，也可供科技工作者阅读。 【目录信息】 第一章 行列式 1．二阶与三阶行列式 2. 全排列及其逆序数 3．N阶行列式的定义 4．对换 5．行列式的性质 6．行列式按行（列）展开 7．克拉墨法则 习题一 第二章 矩阵及其运算 1．矩阵 2．矩阵的运算 3．逆矩阵 4．矩阵分块法 习题二 第三章 矩阵的初等变换与线性方程组 1．矩阵的初等变换 2．初等矩阵 3．矩阵的秩 4．线性方程组的解

《线性代数》是作者主讲的国家级精品课程“线性代数”所使用的教材。适合作为大学本科数学类专业线性代数（或称“高等代数”）课程的教材，也可作为各类大专院校师生的参考书，以及关心线性代数和矩阵论知识的科技工作者或其他读者的自学读物或参考书。《线性代数》具有如下特点：1.不是从定义出发，而是从问题出发来展开课程内容，引导学生在分析和解决这些问题的过程中将线性代数的知识重新“发明”一遍，貌似抽象难懂的概念和定理也就成为显而易见。2.“空间为体，矩阵为用”，自始至终强调几何与代数的相互渗透。3.不板着面孔讲数学，努力采用生动活泼、学生喜闻乐见的语言。

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。

This book on linear algebra and geometry is based on a course given by renowned academician I.R. Shafarevich at Moscow State University. The book begins with the theory of linear algebraic equations and the basic elements of matrix theory and continues with vector spaces, linear transformations, inner product spaces, and the theory of affine and projective spaces. The book also includes some subjects that are naturally related to linear algebra but are usually not covered in such courses: exterior algebras, non-Euclidean geometry, topological properties of projective spaces, theory of quadrics (in affine and projective spaces), decomposition of finite abelian groups, and finitely generated periodic modules (similar to Jordan normal forms of linear operators). Mathematical reasoning, theorems, and concepts are illustrated with numerous examples from various fields of mathematics, including differential equations and differential geometry, as well as from mechanics and physics.

你是不是曾经被线性代数里奇怪的名词和繁琐的计算所困？不知道在说什么，也不知道该从哪里人手进行学习？那么，这本书最合适你不过了。这是世界上最简单的线性代数教科书，它透过漫画式的情境说明，让你边看故事边学知识，每读完一篇就能理解一个概念，每一部分还附有文字说明，只要跟着这些简单的习题进行操练，你将能在最短的时间内修炼成线性代数达人！ 有趣的故事情节、时尚的漫画人物造型、细致的内容讲解定能给你留下深刻的印象，让你看过忘不了。不论你是学生、上班族或是已经有一家属于自己的公司的老板，活学活用线性代数知识，定能为你的学习与工作增添更多的便利。

Praise for the First Edition ". . .recommended for the teacher and researcher as well as for graduate students. In fact, [it] has a place on every mathematician's bookshelf." -American Mathematical Monthly Linear Algebra and Its Applications, Second Edition presents linear algebra as the theory and practice of linear spaces and linear maps with a unique focus on the analytical aspects as well as the numerous applications of the subject. In addition to thorough coverage of linear equations, matrices, vector spaces, game theory, and numerical analysis, the Second Edition features student-friendly additions that enhance the book's accessibility, including expanded topical coverage in the early chapters, additional exercises, and solutions to selected problems. Beginning chapters are devoted to the abstract structure of finite dimensional vector spaces, and subsequent chapters address convexity and the duality theorem as well as describe the basics of normed linear spaces and linear maps between normed spaces. Further updates and revisions have been included to reflect the most up-to-date coverage of the topic, including: The QR algorithm for finding the eigenvalues of a self-adjoint matrix The Householder algorithm for turning self-adjoint matrices into tridiagonal form The compactness of the unit ball as a criterion of finite dimensionality of a normed linear spaceAdditionally, eight new appendices have been added and cover topics such as: the Fast Fourier Transform; the spectral radius theorem; the Lorentz group; the compactness criterion for finite dimensionality; the characterization of commentators; proof of Liapunov's stability criterion; the construction of the Jordan Canonical form of matrices; and Carl Pearcy's elegant proof of Halmos' conjecture about the numerical range of matrices. Clear, concise, and superbly organized, Linear Algebra and Its Applications, Second Edition serves as an excellent text for advanced undergraduate- and graduate-level courses in linear algebra. Its comprehensive treatment of the subject also makes it an ideal reference or self-study for industry professionals.

本书是同济大学数学系编《线性代数》的第五版，依据工科类本科线性代数课程教学基本要求（以下简称教学基本要求）修订而成。此次修订参照近年来线性代数课程及教材建设的经验和成果，对原有内容作了全面的审视与修改，修订的主导思想是：在满足教学基本要求的前提下，适当降低理论推导的要求，注重解决问题的矩阵方法。为此，对书中某些理论的证明改为小字排印，并调整了部分例题与习题。 本书内容分为：行列式、矩阵及其运算、矩阵的初等变换与线性方程组、向量组的线性相关性、相似矩阵及二次型、线性空间与线性变换等六章，各章均配有一定数量的习题，书末附有习题答案。其中一至五章（除用小字排印的内容外）符合教学基本要求，教学时数约34学时。一至五章中用小字排印的内容供读者选读，第六章较多地带有理科的色彩，供对数学要求较高的专业选用。 本书可供高等院校工程类各专业使用，也可供自学者和科技工作者阅读。

高等代数学习指导书（上十五国家级规划教材配套学习指导书），ISBN：9787302109754，作者：丘维声

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

《高等代数简明教程》(上册)(第2版)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。《高等代数简明教程》(上册)(第2版)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。《高等代数简明教程》(上册)(第2版)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《高等代数简明教程》(上册)(第2版)也是很好的教学参考书或学习用书。

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.

本书全面覆盖线性方程组、矩阵、向量空间、博弈论和数值分析等内容, 理论和应用相结合. 尤其介绍了凸集、对偶定理、赋范[线性]空间、赋范[线性]空间之间的线性映射以及自伴随矩阵本征值的计算等一般教材上没有的内容. 为方便读者学习, 每章都有练习, 并提供解答. 书后还有辛矩阵、洛伦兹群、数值域等16个附录. 本书是一本可供高年级本科生和研究生使用的优秀教材, 同时也是数学教师和相关研究人员的一本很好的参考书.

本书是俄罗斯著名代数学家A．и．柯斯特利金的优秀教材《代数学引论》的第二卷。《代数学引论》是作者总结了莫斯科大学几十年来代数课程的教学经验而写成的，全书分成三卷(第一卷：基础代数，第二卷：线性代数，第三卷：基本结构)，分别对应于莫斯科大学数学力学系代数教学的三学期的内容。作者在书中把代数、线性代数和几何统一处理成一个教程，并力图把本书写成有利于培养学生创造性思维的教材。书中配置了难度不同的大量习题，并向学生介绍一些专题中尚未解决的问题。. 第二卷的内容包括抽象向量空间的基本概念，双线性型和二次型，线性算子，带有纯量乘积的向量空间，仿射空间与欧几里得点空间，二次曲面，张量。.. 本书可供我国高等院校数学、应用数学专业和相关专业的本科生、研究生、教师用作代数学课程的教学参考书。...

《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。