for math students), and (4) Linear Algebra (Shilov). The author tries, in all moment, to demonstrate that linear algebra is a fascinating subject by showing both, its beauty and value. The order used to present the books is not relevant. It uses Python to implement the algorithms, but these sections can easily be skipped if you just want to use the text as an intro to linear algebra. For details, please see the Terms & Conditions associated with these promotions. This textbook targets graduate level students and professors in computer science, mathematics and data science. An excellent linear algebra textbook, with a good introduction. There are hundreds of books with the aim of teaching Linear Algebra, your choice will depend, basically, on the kind of course you are taking, and on the approach, prose and rigor of the text you prefer to study. KINDLE VERSION DOESN'T WORK IN KINDLE CLOUD READER, Reviewed in the United Kingdom on December 17, 2015. The reader learns by doing, writing programs to implement the mathematical concepts and using them to carry out tasks and explore the applications. For Dummies: Linear algebra Making Everything Easier ! Supplementary problems serve as a complete review of the material of each chapter. The solved problems serve to illustrate and amplify the theory, bring into sharp focus those fine points without which the student continually feels himself on unsafe ground, and provide the repetition of basic principles so vital to effective learning. To calculate the overall star rating and percentage breakdown by star, we don’t use a simple average. This classical book balances mathematical techniques and mathematical proofs. Reviewed in the United States on September 20, 2013. He has been made an ACM Fellow in recognition of his contributions to research on graph algorithms. He explains concepts, rather than deduces. What is the "meaning" of Matrix multiplication? Philip Klein is Professor of Computer Science at Brown University. What really is a Vector Space? And yet, it took me years on the job to relate the books to the problems we were solving. Whoah this blog is wonderful i really like reading your articles. Its study is essential in most degree courses, especially those related to engineering or science. Examples include: error-correcting codes, transformations in graphics, face detection, encryption and secret-sharing, integer factoring, removing perspective from an image, PageRank (Google's ranking algorithm), and cancer detection from cell features. Does this book contain inappropriate content? The index is both skimpy and inaccurate. Both by Hall and Knight. Unless you currently need this book for a course, I recommend waiting for a corrected edition. This list is missing some good titles and instead includes Shaums Outlines. I hope this list can help you to decide which book is the best for you. I rarely write book reviews but felt compelled to in this case. The author manages to explain complex topics in a manner, understandable to an undergrad, without simplifying or skipping parts. Coding the Matrix: Linear Algebra through Computer Science Applications. I am am a retired software engineer who spent my entire career working for an aero-space research company. I am looking for a good online course on Linear Algebra with it's complimentary book. Coding the Matrix: Linear Algebra through Computer Science Applications - Kindle edition by Klein, Philip. The rst three or four chapters can stand alone as a one semester course in abstract algebra. This title is not supported on Kindle E-readers or Kindle for Windows 8 app. With its presentation of applications, many tangents of historical interest, and 'interactive code exercises I find this to be one of the better presentations on Linear Algebra and Computer Science. Problem of the week - A simple question about eigenvalues, Problem of the week - Gram-Schmidt process, Problem of the week - Column space of a matrix, Problem of the week - Kernel of a linear transformation. There was a problem loading your book clubs. Higher Algebra. I deeply regret not having it back then. Linear Algebra is a topic connected to different fields inside and outside mathematics like functional analysis, differential equations, engineering, graph theory, statistics, linear programming, and computer graphics. It is well written, with some humorous touches here and there. Previously, I had tried working through Gilbert Strang's book and video lectures on Linear Algebra but the material never stuck in my head. Linear Algebra course+book recommendation for computer science? Each chapter begins with clear statements of pertinent definitions, principles and theorems together with illustrative and other descriptive material. Algebra for beginners 2. Read with the free Kindle apps (available on iOS, Android, PC & Mac) and on Fire Tablet devices. I think so. The book is by no means unreadable, but is more work than it should be. The Kindle version is not the same as recent printed versions and contains errors long since corrected in the print format. What is the relationship between a Matrix and a Function? Be sure to get the companion online course Linear Algebra for Beginners here: https://www.onlinemathtraining.com/linear-algebra/. In the second page you read among others. Best book of Linear algebra 1) David c lay 2)Gilbert Strang 3) Hoffman Ray kunZe. Interesting and fun approach. To get the free app, enter your mobile phone number. The textbook contains numerous examples and exercises, historical notes, and comments on numerical performance and the possible pitfalls of algorithms. This introduces Linear Algebra to an audience with programming experience.