Coding the Matrix

Coding the Matrix, authored by Philip N. Klein, is a comprehensive guide to the mathematical foundations of computer science. The book offers an innovative and interactive approach to understanding linear algebra and its applications in computer science.

Philip N. Klein is a Professor of Computer Science at Brown University, where he teaches courses on algorithm design, programming languages, and theoretical computer science. He has a Ph.D. in Computer Science from Cornell University and has published numerous papers on topics ranging from computational geometry to quantum computing.

In the book's introduction, Klein explains that linear algebra is a crucial tool in computer science, used in a variety of applications such as computer graphics, cryptography, and machine learning. However, he notes that many students find it difficult to learn linear algebra, as traditional approaches often rely heavily on abstract concepts and formal proofs.

To address this challenge, Klein takes a novel approach to teach linear algebra, using Python programming and interactive examples to illustrate key concepts. The book is organized around a series of "programming assignments," which guide readers through the process of implementing algorithms and solving problems using linear algebra.

Throughout the book, Klein emphasizes the practical applications of linear algebra, showing readers how it can be used to solve real-world problems in computer science. With its engaging approach and emphasis on hands-on learning, Coding the Matrix is an invaluable resource for students, educators, and anyone interested in understanding the mathematical foundations of computer science.

Author: Philip N. Klein

Link to buy: https://www.amazon.com/gp/aw/d/0615880991/

Ratings: 4.5 out of 5 stars (from 161 reviews)

Best Sellers Rank: #109,226 in Books

#8 in Mathematical Matrices

#13 in Computer Networks

#18 in Linear Algebra (Books)