Linear Algebra and Its Applications, Updated plus MyMathLab Student Access Kit (3rd Edition) 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2025


Linear Algebra and Its Applications, Updated plus MyMathLab Student Access Kit (3rd Edition)

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David C. Lay 作者
Addison Wesley
譯者
2005-08-22 出版日期
576 頁數
USD 134.67 價格
Hardcover
叢書系列
9780321280626 圖書編碼

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Linear Algebra and Its Applications, Updated plus MyMathLab Student Access Kit (3rd Edition) 在線電子書 epub 下載 mobi 下載 pdf 下載 txt 下載 2025

Linear Algebra and Its Applications, Updated plus MyMathLab Student Access Kit (3rd Edition) 在線電子書 epub 下載 pdf 下載 mobi 下載 txt 下載 2025

Linear Algebra and Its Applications, Updated plus MyMathLab Student Access Kit (3rd Edition) 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2025



Linear Algebra and Its Applications, Updated plus MyMathLab Student Access Kit (3rd Edition) 在線電子書 用戶評價

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Linear Algebra and Its Applications, Updated plus MyMathLab Student Access Kit (3rd Edition) 在線電子書 著者簡介

David C. Lay 在美國加利福尼亞大學獲得碩士和博士學位。他是馬裏蘭大學帕剋學院數學係教授,同時還是阿姆斯特丹大學、阿姆斯特丹自由大學和德國凱澤斯勞滕大學的訪問教授。Lay教授是“綫性代數課程研究小組”的核心成員,發錶瞭30多篇關於泛函分析和綫性代數方麵的論文,並與他人閤著有多部數學教材。


Linear Algebra and Its Applications, Updated plus MyMathLab Student Access Kit (3rd Edition) 在線電子書 著者簡介


Linear Algebra and Its Applications, Updated plus MyMathLab Student Access Kit (3rd Edition) 在線電子書 pdf 下載 txt下載 epub 下載 mobi 在線電子書下載

Linear Algebra and Its Applications, Updated plus MyMathLab Student Access Kit (3rd Edition) 在線電子書 圖書描述

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. Lay introduces these concepts early in a familiar, concrete Rn setting, develops them gradually, and returns to them again and again throughout the text. Finally, when discussed in the abstract, these concepts are more accessible. It includes easily identifiable Matlab icons in the margins next to Matlab examples and exercises and a CD-Rom bound in the back of the book includes additional Matlab exercises and programs. Instructor's Edition now includes selected solutions and MyMathLab. In this book fundamental ideas of linear algebra are introduced within the first seven lectures, in the concrete setting of Rn, and then gradually examined from different points of view. Later generalizations of these concepts appear as natural extensions of familiar ideas. The focus is on visualization of concepts throughout the book and it has icons in the margins to flag topics for which expanded or enhanced material is available on the Web; a modern view of matrix multiplication is presented. Definitions and proofs focus on the columns of a matrix rather than on the matrix entries; Numerical Notes give a realistic flavor to the text. Students are reminded frequently of issues that arise in the real-life use of linear algebra; and each major concept in the course is given a geometric interpretation because many students learn better when they can visualize an idea.

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Linear Algebra and Its Applications, Updated plus MyMathLab Student Access Kit (3rd Edition) 在線電子書 讀後感

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这周的作业有马尔科夫链和状态转移矩阵。最后变换为求解三元和四元的微分方程组的特解。 一类解法是拉普拉斯变换之后分离s和x(t),再使用逆变换。很不幸的是我功力尚浅,变换之后得到了一个满秩的齐次线性方程组。显然求解不下去。 另一种方法是矩阵的特征值和特征向量,相应的...  

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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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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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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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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。  

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