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.

具体描述

读后感

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A first course in linear algebra is dramatically different from most mathematics courses that precede it.The focus shifts from learning computational procedures to digesting and mastering basic concepts that underlie the computations.To survive,you may need...  

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在学习的同时,知道很多应用实例,记忆非常深刻。 学完这本书,对线性代数的应用可以到一定的广度的了解 但是学完国内一般的线性代数教材,觉得还是非常虚幻。强烈建议国内大学实用。  

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这看起来不是机翻吗?表述方式一毛一样...看的难受不?我是难受死了,原版不折磨人,感觉是不是机械工业出版社的翻译书水平都不大行...还是我买的书就不太好?继续看原版吧,勿喷我,hhh,我只是表达不满,只是我的看法哟.........................................  

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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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最近想进修一下统计,遇到第一个难关就是线性代数,好多东西都忘得差不多了,只记得某年某月曾算过特征值和特征向量…… 依稀记得当年考研时候用的就是Lay老人家这本书的中文版,但想到自己已经是研究僧了,应该看看原版书了,于是决定厚颜无耻地去爱问上偷书。下...  

用户评价

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由于时间和精力,只做了PRACTICE PROBLEMS部分,EXERCISES只挑了几题做。书中的第9章和10章是网络上的章节,可惜原书并未收录,所以只是看看章节名而已。 不过也是从头到尾翻了一遍,这确实是本好书,甩国内绝大部分教材几条街,至此也是重新学了下线性代数了。

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前7章打基础,第8/9/10三个章节需要重点反复读,当然内容并不基础。

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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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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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Read it for some note on singular value decomposition, yet another mediocre textbook with unclear constructure.

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