Linear Algebra and Its Applications

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Strang seemed like a very nice guy when I saw him speak, but his book is no match for Lay's in terms of doing awesome things like making wonderful lists of all the 50 different statements that mean the same thing (for example: determinant of matrix is nonzero <-> matrix has full rank <-> matrix's columns are linearly independent <-> etc. I would take half a star away for paper quality and design (who thought the fully blue and yellow paperback cover was a good choice? Each section starts with working examples to demonstrate how tools from linear algebra can help solve problems in applied sciences. On today's installment of "Rating my college textbooks because if I have to read them, they better count toward my Goodreads challenge! The author Gilbert Strang is an authoritative figure on the subject and I am fortunate to have studied his MIT ocw course.

The chapter on eigenvalues is relatively weak; it covers all the techniques, but the applications are limited to dynamical systems and the interest is in taking high powers of a matrix. Finance is provided by PayPal Credit (a trading name of PayPal UK Ltd, Whittaker House, Whittaker Avenue, Richmond-Upon-Thames, Surrey, United Kingdom, TW9 1EH). Bottom line: Very well-done introduction, despite several flaws, and especially strong on applications. Professor Lay has received four university awards for teaching excellence, including, in 1996, the title of Distinguished Scholar-Teacher of the University of Maryland. Chapter 3 teaches about matrix operations such as matrix multiplication, matrix inversion and transposing matrices.Despite the no-frills approach, it is still a long book and it covers everything that would normally be in an introductory course, and a lot that would not be. The SJR is a size-independent prestige indicator that ranks journals by their 'average prestige per article'.

The author then concludes the main section of the book with a chapter on orthogonality and the least squares method (6) that provides plenty of applications and then a closing chapter on symmetric matrices and quadratic forms that deals with constraint optimization and other applications (7). Also available with MyLab® Math MyLab is the teaching and learning platform that empowers you to reach every student. It is one thing to know that there are many ways to use a subject and many jobs where a given subject comes in handy, but it is an entirely different thing to be filled with a degree of passion and enthusiasm to solve particular problems in the world today through mastery of a technical field like linear algebra. Written by a true master of the subject and explained in a way that even non-mathematicans can understand. And I can add that it's a very handy reference to breeze through when you need to brush up on basics for a more advanced course that relies on this stuff.If you can reduce a mathematical problem to a problem in linear algebra, you can most likely solve it, provided you know enough linear algebra. These exercises start from easy computations, such as computing determinants of matrices, to practical applications on simulated and empirical data sets with R so that students learn how to get started with R, along with computational examples in each section, and then students learn how to apply what they've learned to problems in applied sciences. The breadth of applications is especially impressive: although most of them use extremely simplified models of the thing being studied, they really do give you a good understanding of how linear algebra is used in practice. For topics on particular articles, maintain the dialogue through the usual channels with your editor.

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. In all fairness, the book is a college level textbook in linear algebra, and few people would read such a book for their personal amusement as I did, so I will not judge it too harshly or not being particularly exciting, because I had no expectations that it would be so. e. journal self-citations removed) received by a journal's published documents during the three previous years.Even if you're familiar with his video lectures, the book is worth reading as it tends to solidify the concepts. I have no complaints about this book, it seems to do a good job explaining all the concepts and it's easy to follow assuming you don't skip around and make a conscious effort to understand beyond reading. More often than not, it does a good job at translating the formula to a sensible sentence, and throughout reading this book it made me realize that mathematical formula isn't more than a language. The chart shows the evolution of the average number of times documents published in a journal in the past two, three and four years have been cited in the current year. He has also served as a visiting professor at the University of Amsterdam, the Free University in Amsterdam, and the University of Kaiserslautern, Germany.