Matrix Analysis and Applied Linear Algebra - Carl D. Meyer

Matrix Analysis and Applied Linear Algebra

Carl D. Meyer

出版时间

2001-02-15

ISBN

9780898714548

评分

★★★★★
书籍介绍

Matrix Analysis and Applied Linear Algebra is an honest math text that circumvents the traditional definition-theorem-proof format that has bored students in the past. Meyer uses a fresh approach to introduce a variety of problems and examples ranging from the elementary to the challenging and from simple applications to discovery problems. The focus on applications is a big difference between this book and others. Meyer's book is more rigorous and goes into more depth than some. He includes some of the more contemporary topics of applied linear algebra which are not normally found in undergraduate textbooks. Modern concepts and notation are used to introduce the various aspects of linear equations, leading readers easily to numerical computations and applications. The theoretical developments are always accompanied with examples, which are worked out in detail. Each section ends with a large number of carefully chosen exercises from which the students can gain further insight.

The textbook contains more than 240 examples, 650 exercises, historical notes, and comments on numerical performance and some of the possible pitfalls of algorithms. It comes with a solutions manual that includes complete solutions to all of the exercises. As an added bonus, a CD-ROM is included that contains a searchable copy of the entire textbook and all solutions. Detailed information on topics mentioned in examples, references for additional study, thumbnail sketches and photographs of mathematicians, and a history of linear algebra and computing are also on the CD-ROM, which can be used on all platforms.

Students will love the book's clear presentation and informal writing style. The detailed applications are valuable to them in seeing how linear algebra is applied to real-life situations. One of the most interesting aspects of this book, however, is the inclusion of historical information. These personal insights into some of the greatest mathematicians who developed this subject provide a spark for students and make the teaching of this topic more fun.

目录
Chapter 1: Linear Equations.
Introduction; Gaussian Elimination and Matrices; Gauss-Jordan Method; Two-Point Boundary-Value Problems; Making Gaussian Elimination Work; Ill-Conditioned Systems
Chapter 2: Rectangular Systems and Echelon Forms.
Row Echelon Form and Rank; The Reduced Row Echelon Form; Consistency of Linear Systems; Homogeneous Systems; Nonhomogeneous Systems; Electrical Circuits
Chapter 3: Matrix Algebra.

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用户评论
before: "a must read" after: unusual organisation, but very intuitive.
国科大研一矩阵分析课程的教材,很棒的一本书,由浅入深。从最简单的线性方程组和数学基础开始,再到开始有点难以理解的线性变换,然后模和内积,四种典型的矩阵分解方法,特征值。适合计算机专业的学生读。
这书吧,例子不错,但是章节布局还有待好好斟酌一下.
非常成熟的线性代数课本,清晰明了,难易适中。
很简明的线性代数和矩阵分析的,内容比较基础,但条理很清晰,Meyer爷爷人不错的
对个人来说,这本书就是一座高峰,奇高无比的险峰(个人智力平庸)!第一次拿到这本书,就觉得这本书太数学化了,不适合非理工科的自学。后来,转头学了Gilbert Strang的那本入门书籍。Gilbert 的书学得差不多了再来看这本书,还是感觉非常难,特别是证明这块儿。从证明可看出来,这本书的作者功力不是一般的深厚!我接触这本书差不多有7年的样子了。前前后后差不多看了10来遍了。但是每次看,都有所收获。总的来书,这本书非常不错!
很好,就是定位有点不清楚,入门strang更好,想深入lax更好,是很好的工具书了。
简明易懂
这本书可以说是这个领域不可多得的好书,尤其对我这种不是数学专业的人。尤其讲特征值那一章,把矩阵函数那一套讲的很清楚,还有案例。然后观点似乎也挺高的,很多地方应该是采用了泛函分析的一些思想。总之一句话,牛逼。
矩阵和线代 我真的学过这些吗……
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