This text provides a very simple, initial introduction to the complete scientific computing pipeline: models, discretization, algorithms, programming, verification, and visualization. The book is easy to read and only requires a command of one-variable calculus and some very basic knowledge about computer programming.
Published in 1989, this was the first book to explore the new breed of stack computers led by the introduction of the Novix NC4016 chip. The author commences with an overview of how stacks are used in computing, and a taxonomy of hardware stack support which includes a survey of approximately 70 stack machines past and present.
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This is a book on the functional paradigm in general. We’ll use the world’s most popular functional programming language: JavaScript.
This book discusses both the theory and practical applications of self-correcting data, commonly known as error-correcting codes. The applications included demonstrate the importance of these codes in a wide range of everyday technologies, from smartphones to secure communications and transactions.
‘wxMaxima for Calculus I’ and ‘wxMaxima for Calculus II’ introduce the free open-source computer algebra system wxMaxima in the context of single variable calculus. Each book can serve as a lab manual for a one-unit semester calculus lab, a source of supplemental CAS exercises or a tutorial reference for students and instructors who prefer learn computer algebra by example.
It explains the main concepts of operating systems by studying an example kernel, named xv6. xv6 is a re-implementation of Dennis Ritchie’s and Ken Thompson’s Unix Version 6 (v6).
This book is concerned with three related topics: the field of artificial intelligence, or AI; the skill of computer programming; and the programming language Common Lisp.
This book is about convex optimization, a special class of mathematical optimization problems, which includes least-squares and linear programming problems.
Introduction to Proofs is an undergraduate text. It is Inquiry-Based, sometimes called the Discovery Method or the Moore Method.
This book introduces the most important ideas in computing using the Scheme and Python programming languages. It focuses on how to describe information processes by defining procedures, how to analyze the costs required to carry out a procedure, and the fundamental limits of what can and cannot be computed mechanically.
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