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 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 W W L Chen - Macquarie University
Logic and sets, the natural numbers, division and factorization, languages, finite state machines, finite state automata, Turing machines, groups and modulo arithmetic, introduction to coding theory, group codes, public key cryptography, etc.
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 Miguel A. Lerma
Summary of the course CS 310: Mathematical Foundations of Computer Science. It covers concepts of discreet mathematics and applications to computer science, logic and Boolean circuits, functions, sets, relations, databases, finite automata, and more.