Mathematics for Computer Science
by Eric Lehman, F Thomson Leighton, Albert R Meyer
Publisher: MIT 2010
Number of pages: 557
This text offers an introduction to Discrete Mathematics oriented toward Computer Science and Engineering. Topics covered: Fundamental concepts of Mathematics: definitions, proofs, sets, functions, elementary number theory; Discrete structures: graphs, counting; Discrete probability theory.
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by Edward A. Bender, S. Gill Williamson - University of California, San Diego
In this book, four basic areas of discrete mathematics are presented: Counting and Listing, Functions, Decision Trees and Recursion, and Basic Concepts in Graph Theory. At the end of each unit is a list of Multiple Choice Questions for Review.
by Oscar Levin - University of Northern Colorado
This book was written to be used as the primary text for introduction to proof, as well as an introduction to topics in discrete mathematics. Contents: Counting; Sequences; Symbolic Logic and Proofs; Graph Theory; Generating Functions; and more.
by Petter Holme, Jari Saramäki - arXiv
In this review, the authors present the emergent field of temporal networks, and discuss methods for analyzing topological and temporal structure and models for elucidating their relation to the behavior of dynamic systems.
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.