Building Blocks for Theoretical Computer Science
by Margaret M. Fleck
Publisher: University of Illinois, Urbana-Champaign 2013
Number of pages: 271
This book teaches you how to read and write mathematical proofs. It provides a survey of basic mathematical objects, notation, and techniques which will be useful in later computer science courses. And, finally, it gives a brief introduction to some key topics in theoretical computer science: algorithm analysis and complexity, automata theory, and computability.
Home page url
Download or read it online for free here:
by Owen L. Astrachan - McGraw - Hill
This book is designed for a first course in computer science that uses C++ as the programming language. The goal was to leverage the best features of the language using sound practices of programming and pedagogy in the study of computer science.
by Victor Eijkhout - University of Texas
A computational scientist needs knowledge of several aspects of numerical analysis and discrete mathematics. This text covers: computer architecture, parallel computers, machine arithmetic, numerical linear algebra, applications.
by Peter Van Roy, Seif Haridi - The MIT Press
Covered topics: concurrency, state, distributed programming, constraint programming, formal semantics, declarative concurrency, message-passing concurrency, forms of data abstraction, building GUIs, transparency approach to distributed programming.
by Ilkka Kokkarinen - Ryerson University
The book is an introduction to Wolfram Mathematica written in computer science spirit, using this language not just for mathematics and equation solving but for all sorts of computer science examples and problems from the standard CS101 exercises...