Linear Algebra and Its Applications

Product Information

I had to read “Linear Algebra and Its Applications” by David Lay for the Linear Algebra 1 class in my first semester in University.

Also available with MyMathLab MyMathLab is an online homework, tutorial, and assessment program designed to work with this text to engage students and improve results.Renowned professor and author Gilbert Strang demonstrates that linear algebra is a fascinating subject by showing both its beauty and value. Strang is more fun to read, too: Strang really loves linear algebra and it shows, while Lay is very dry (except for one isolated joke: a sight gag in the discussion of linear transformations involving a sheared sheep). William Gilbert Strang (born November 27, 1934), usually known as simply Gilbert Strang or Gil Strang, is an American mathematician, with contributions to finite element theory, the calculus of variations, wavelet analysis and linear algebra. External citations are calculated by subtracting the number of self-citations from the total number of citations received by the journal’s documents. However, what this textbook suffers from is a tendency to oversimplify the explanations and examples, especially in the more advanced topics like Principle Component Analysis.

Read more about the condition New: A new, unread, unused book in perfect condition with no missing or damaged pages.It also publishes articles that give significant applications of matrix theory or linear algebra to other branches of mathematics and to other sciences. 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 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. Chapter 3 teaches about matrix operations such as matrix multiplication, matrix inversion and transposing matrices. For visual leaner, I definitely recommend awesome videos about linear algebra by 3Blue1Brown , https://www.