Logo

Foundations of Computer Science: C Edition

Large book cover: Foundations of Computer Science: C Edition

Foundations of Computer Science: C Edition
by

Publisher: W. H. Freeman
ISBN/ASIN: 0716782847
ISBN-13: 9780716782841
Number of pages: 786

Description:
Aho and Ullman have created a C version of their groundbreaking text. As in that text, this book combines the theoretical foundations of computing with essential discrete mathematics. It follows the same organizations as its predecessor, with all examples and exercises in C.

Home page url

Download or read it online for free here:
Download link
(multiple PDF files)

Similar books

Book cover: Concrete Abstractions: An Introduction to Computer Science Using SchemeConcrete Abstractions: An Introduction to Computer Science Using Scheme
by - Course Technology
The book Concrete Abstractions covers the programming and data structures basics. It will give first-time computer science students the opportunity to not only write programs, but to prove theorems and analyze algorithms as well.
(12515 views)
Book cover: Computational and Inferential Thinking: The Foundations of Data ScienceComputational and Inferential Thinking: The Foundations of Data Science
by - GitBook
Data Science is about drawing useful conclusions from large and diverse data sets through exploration, prediction, and inference. Our primary tools for exploration are visualizations and descriptive statistics, for prediction are machine learning ...
(1557 views)
Book cover: CS for AllCS for All
by - Harvey Mudd College
Our objective is to provide an introduction to computer science as an intellectually vibrant field rather than focusing exclusively on computer programming. We emphasize concepts and problem-solving over syntax and programming language features.
(3176 views)
Book cover: Building Blocks for Theoretical Computer ScienceBuilding Blocks for Theoretical Computer Science
by - University of Illinois, Urbana-Champaign
This book provides a survey of basic mathematical objects, notation, and techniques useful in later computer science courses. It gives a brief introduction to some key topics: algorithm analysis and complexity, automata theory, and computability.
(5751 views)