Discrete Math for Computer Science Students
by Ken Bogart, Cliff Stein
Publisher: Dartmouth College 2003
Number of pages: 252
It gives thorough coverage to topics that have great importance to computer scientists and provides a motivating computer science example for each math topic. Contents: Counting; Cryptography and Number Theory; Reflections on Logic and Proof.
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by C. D. H. Cooper - Macquarie University
This is a text on discrete mathematics. It includes chapters on logic, set theory and strings and languages. There are some chapters on finite-state machines, some chapters on Turing machines and computability, and a couple of chapters on codes.
by Rupinder Sekhon - Connexions
Applied Finite Mathematics covers topics including linear equations, matrices, linear programming (geometrical approach and simplex method), the mathematics of finance, sets and counting, probability, Markov chains, and game theory.
by Jean Gallier - arXiv
These are notes on discrete mathematics for computer scientists. The presentation is somewhat unconventional. I emphasize partial functions more than usual, and I provide a fairly complete account of the basic concepts of graph theory.
by Marcel B. Finan - Arkansas Tech University
This book is designed for a one semester course in discrete mathematics for sophomore or junior level students. The text covers the mathematical concepts that students will encounter in computer science, engineering, Business, and the sciences.