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 - Dover Publications
This text assists undergraduates in mastering the mathematical language to address problems in the field's many applications. It consists of 4 units: counting and listing, functions, decision trees and recursion, and basic concepts of graph 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 Kenneth R. Koehler - University of Cincinnati Blue Ash College
This book is an introduction to the mathematics used in the design of computer and network hardware and software. We will survey topics in computer arithmetic and data representation, logic and set theory, graph theory and computer measurement.
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.