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. 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 over 30 research articles published in functional analysis and linear algebra.
As a founding member of the NSF-sponsored Linear Algebra Curriculum Study Group, Lay has been a leader in the current movement to modernize the linear algebra curriculum. Lay is also co-author 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.
Professor 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. 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.
Linear algebra is relatively easy for students during the early stages of the course, when the material is presented in a familiar, concrete setting. But when abstract concepts are introduced, students often hit a brick 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. Since they are fundamental to the study of linear algebra, students' understanding of these concepts is vital to their mastery of the subject. David Lay introduces these concepts early in a familiar, concrete R n setting, develops them gradually, and returns to them again and again throughout the text so that when discussed in the abstract, these concepts are more accessible.
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...
评分PCA这么重要的东西应该与SVD一样专门写一段,而不是放在“7.5 图像处理和统计学中的应用”底下当成普通例子来写。虽然这里PCA写的是真清晰真透彻,秒杀网上无数介绍。另外,SVD讲的太简略了,看完公式也抓不住本质。最好加入几何理解角度,并谈谈与PCA的异同。
评分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.........................................
评分原书可能是好书,但是中文版翻译真是太烂了,奉劝诸位能看英文版的尽量看英文的。 ps:第二页的“两个线性方程组称为等价的.若它们有相同的解集.”这是高中生的翻译水平么?简直是侮辱高中生。我真的很怀疑这本书的译者怎么有胆量把自己的名字印在书上的,不嫌丢人么?我真的很...
评分作者在开篇就给了线性代数一个很新奇的定义:“从某种意义上说,线性代数是一门语言,你要像对待外语一样,每天都学。”书中有大量的应用实例,内容结构安排的很好,前几章就引入子空间,向量,线性变换的概念,还介绍了一下线性代数的核心思想和研究内容,而后面几章的内容都...
极好的线性代数入门书
评分非常有意思的讲解
评分太水了,不够用。想读经济研究生的还得另补
评分这本教材由高斯消去法开讲至矩阵运算,行列式,向量空间,特征值(向量),正交与最小二乘法。与Strang的入门教材相比,Lay则多了几分严谨性且内容结构及其紧密。
评分看了一下价钱吓尿了
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