Introduction to High-Performance Scientific Computing
by Victor Eijkhout
Publisher: University of Texas 2014
Number of pages: 535
A course in everything that it takes to be a successful computational scientist: computer architecture, parallel computers, machine arithmetic, numerical linear algebra, applications. The contents of this book is a combination of theoretical material and selfguided tutorials on various practical skills.
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by David S. Touretzky - Benjamin-Cummings Pub Co
This is a gentle introduction to Common Lisp for students taking their first programming course. No prior mathematical background beyond arithmetic is assumed. There are lots of examples, the author avoided technical jargon.
by Robert M. Keller - Harvey Mudd College
This book is intended for a second course in computer science, one emphasizing principles wherever it seems possible. It is not limited to programming, it attempts to use various programming models to explicate principles of computational systems.
by Brian Harvey - The MIT Press
This series is for people who are interested in computer programming because it's fun. The three volumes use the Logo as the vehicle for an exploration of computer science from the perspective of symbolic computation and artificial intelligence.
by Susan Rodger - Duke University
These lecture notes present an introduction to theoretical computer science including studies of abstract machines, the language hierarchy from regular languages to recursively enumerable languages, noncomputability and complexity theory.