Since its original appearance in 1997, Numerical Linear Algebra has been a leading textbook in its field, used in universities around the world. It is noted for its 40 lecture-sized short chapters and its clear and inviting style. It is reissued here with a new foreword by James Nagy and a new afterword by Yuji Nakatsukasa about subsequent developments.

This is a concise, insightful introduction to the field of numerical linear algebra. The clarity and eloquence of the presentation make it popular with teachers and students alike. The text aims to expand the reader's view of the field and to present standard material in a novel way. All of the most important topics in the field are covered with a fresh perspective, including iterative methods for systems of equations and eigenvalue problems and the underlying principles of conditioning and stability. Presentation is in the form of 40 lectures, which each focus on one or two central ideas. The unity between topics is emphasized throughout, with no risk of getting lost in details and technicalities. The book breaks with tradition by beginning with the QR factorization - an important and fresh idea for students, and the thread that connects most of the algorithms of numerical linear algebra.

This elegant programming primer teaches K-12 students to code through more than 100 graded examples, each one illustrated in color. This book can be used to learn how to program without installing any software: just visit the free Pencil Code website, and run and save your projects online.

Written by a computer scientist to teach his own children to program, the book is designed for inductive learning. The illustrated programs come with no expository text. Instead, the sequence of projects introduce increasingly sophisticated concepts by example. Each one invites customization and exploration.

The book begins by suggesting a simple program to draw a line. Subsequent pages introduce core concepts in computer science: loops, functions, recursion, input and output, numbers and text, and data structures. The more advanced material introduces concepts in randomness, animation, HTML5, jQuery, networking, and artificial intelligence.