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 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.
by Stephen Wolfram - Wolfram Media
Starting from a collection of simple computer experiments -- illustrated in the book by striking computer graphics -- Wolfram shows how their unexpected results force a whole new way of looking at the operation of our universe.
by Chris Bourke - University of Nebraska - Lincoln
A draft of text book for Computer Science I, covering CS1 topics in a generic manner using psuedocode with supplemental parts for specific languages. Computer Science is not programming. Programming is a necessary skill, but it is only the beginning.
by Lawrence C Paulson - University of Cambridge
This text teaches programming and presents some fundamental principles of computer science, especially algorithm design. The programming in this course is based on the language ML and mostly concerns the functional programming style.