Linear Algebra and Its Applications

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David C. Lay holds a B.A. from Aurora University (Illinois), and an M.A. and Ph.D. from the University of California at Los Angeles. David Lay has been an educator and research mathematician since 1966, mostly at the University of Maryland, College Park. He has also served as a visiting professor at the University of Amsterdam, the Free University in Amsterdam, and the University of Kaiserslautern, Germany. He has published more than 30 research articles on functional analysis and linear algebra. As a founding member of the NSF-sponsored Linear Algebra Curriculum Study Group, David Lay has been a leader in the current movement to modernize the linear algebra curriculum. Lay is also a coauthor of several mathematics texts, including Introduction to Functional Analysis with Angus E. Taylor, Calculus and Its Applications, with L. J. Goldstein and D. I. Schneider, and Linear Algebra Gems–Assets for Undergraduate Mathematics, with D. Carlson, C. R. Johnson, and A. D. Porter. David Lay has received four university awards for teaching excellence, including, in 1996, the title of Distinguished Scholar—Teacher of the University of Maryland. In 1994, he was given one of the Mathematical Association of America’s Awards for Distinguished College or University Teaching of Mathematics. He has been elected by the university students to membership in Alpha Lambda Delta National Scholastic Honor Society and Golden Key National Honor Society. In 1989, Aurora University conferred on him the Outstanding Alumnus award. David Lay is a member of the American Mathematical Society, the Canadian Mathematical Society, the International Linear Algebra Society, the Mathematical Association of America, Sigma Xi, and the Society for Industrial and Applied Mathematics. Since 1992, he has served several terms on the national board of the Association of Christians in the Mathematical Sciences.

Steven R. Lay began his teaching career at Aurora University (Illinois) in 1971, after earning an M.A. and a Ph.D. in mathematics from the University of California at Los Angeles. His career in mathematics was interrupted for eight years while serving as a missionary in Japan. Upon his return to the States in 1998, he joined the mathematics faculty at Lee University (Tennessee) and has been there ever since. Since then he has supported his brother David in refining and expanding the scope of this popular linear algebra text, including writing most of Chapters 8 and 9. Steven is also the author of three college-level mathematics texts: Convex Sets and Their Applications, Analysis with an Introduction to Proof, and Principles of Algebra. In 1985, Steven received the Excellence in Teaching Award at Aurora University. He and David, and their father, Dr. L. Clark Lay, are all distinguished mathematicians, and in 1989 they jointly received the Outstanding Alumnus award from their alma mater, Aurora University. In 2006, Steven was honored to receive the Excellence in Scholarship Award at Lee University. He is a member of the American Mathematical Society, the Mathematics Association of America, and the Association of Christians in the Mathematical Sciences.

Judi J. McDonald joins the authorship team after working closely with David on the fourth edition. She holds a B.Sc. in Mathematics from the University of Alberta, and an M.A. and Ph.D. from the University of Wisconsin. She is currently a professor at Washington State University. She has been an educator and research mathematician since the early 90s. She has more than 35 publications in linear algebra research journals. Several undergraduate and graduate students have written projects or theses on linear algebra under Judi’s supervision. She has also worked with the mathematics outreach project Math Central http://mathcentral.uregina.ca/ and continues to be passionate about mathematics education and outreach. Judi has received three teaching awards: two Inspiring Teaching awards at the University of Regina, and the Thomas Lutz College of Arts and Sciences Teaching Award at Washington State University. She has been an active member of the International Linear Algebra Society and the Association for Women in Mathematics throughout her career and has also been a member of the Canadian Mathematical Society, the American Mathematical Society, the Mathematical Association of America, and the Society for Industrial and Applied Mathematics.

出版者:Pearson; 5 edition
作者:David C. Lay
出品人:
页数:576
译者:
出版时间:2015-1-3
价格:0
装帧:Hardcover
isbn号码:9780134022697
丛书系列:
图书标签:
  • 数学 
  • 线性代数 
  • LinearAlgebra 
  • Algebra 
  • 计算机基础 
  • 数学-LinearAlgebra 
  • Mathematics 
  • textbook 
  •  
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With traditional linear algebra texts, the course is relatively easy for students during the early stages as material is presented in a familiar, concrete setting. However, when abstract concepts are introduced, students often hit a wall. Instructors seem to agree that certain concepts (such as linear independence, spanning, subspace, vector space, and linear transformations) are not easily understood and require time to assimilate. These concepts are fundamental to the study of linear algebra, so students' understanding of them is vital to mastering the subject. This text makes these concepts more accessible by introducing them early in a familiar, concrete Rn setting, developing them gradually, and returning to them throughout the text so that when they are discussed in the abstract, students are readily able to understand.

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001)143页,图2-23(c),说是【旋转-30度】,在图像却旋转了【90度】。――国际惯例,逆时针旋转为正方向,是这样的吧? 002)190页8行:“…,它们在【-比在】航天飞机中用到的数字系统中有用。”――这里疑似多了两个字符。 003)227页定理11的证明第2行:“若S生成H,则【...  

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001)143页,图2-23(c),说是【旋转-30度】,在图像却旋转了【90度】。――国际惯例,逆时针旋转为正方向,是这样的吧? 002)190页8行:“…,它们在【-比在】航天飞机中用到的数字系统中有用。”――这里疑似多了两个字符。 003)227页定理11的证明第2行:“若S生成H,则【...  

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昨天在图书馆翻了翻"时间序列分析"的书,发现这东西还是很有用的,利用时间作为自变量来预测一个时间序列未来的值,比如,可以预测地震、天气、股票等等,由于它的自变量只有时间,所以感觉很神奇,几乎就是拿一个变量自己来做回归,称之为自回归AR(auto regression),另...  

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一本非常好的线性代数基础书。 从考研以后,那些不常用到的数学知识变开始逐渐淡忘、褪色。最近对机器学习产生了兴趣,因此又重新开始温习线性代数。 这本书的内容跟中国的教材相比,并没有增加多少,甚至有些东西还有欠缺。但是跟国内图书的不同在于,它详细的讲解了每个公式...  

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一本非常好的线性代数基础书。 从考研以后,那些不常用到的数学知识变开始逐渐淡忘、褪色。最近对机器学习产生了兴趣,因此又重新开始温习线性代数。 这本书的内容跟中国的教材相比,并没有增加多少,甚至有些东西还有欠缺。但是跟国内图书的不同在于,它详细的讲解了每个公式...  

用户评价

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最后一章写的太简略了,不过也毕竟这本书是一线性代数为主

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2019s1: 手里三本不同的线代教材,这本最好懂,一周目quiz靠自学第一章拿了满分,通读一遍拿hd我觉得不是问题。2019年7月3日:考的还是挺好的,但毕竟不是学校推荐教材,学校的课程outline不是按这本教材走的。pro:这本书第五章开篇举的那个关于猫头鹰population dynamics的例子。con:关于linear transformation的内容太少。

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这本书结构清晰,内容也全面(该讲的点在我看来都讲了),所以很适合本科生初学时作为主教材使用。唯一的遗憾就是课后习题了,有点过于偏重计算而忽视了理解,正文部分倒是没这个问题,请放心阅读。PS. 第一次学习时可以先跳过第四章

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2019s1: 手里三本不同的线代教材,这本最好懂,一周目quiz靠自学第一章拿了满分,通读一遍拿hd我觉得不是问题。2019年7月3日:考的还是挺好的,但毕竟不是学校推荐教材,学校的课程outline不是按这本教材走的。pro:这本书第五章开篇举的那个关于猫头鹰population dynamics的例子。con:关于linear transformation的内容太少。

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