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Discrete Mathematics for Computer Science
The goal of this lecture note is to introduce students to ideas and techniques from discrete mathematics that are widely used in Computer Science. This note covers the following topics: Propositional logic, Induction, Strong induction, Structural induction, Proofs about algorithms, Algebraic algorithms, Number theory, RSA, Basics of counting, basic probability,Conditional probability, Linearity of expectation, variance.
Author(s): Mike Clancy, David Wagner
NA Pages 
Discrete Mathematics by Oscar Levin
This note explains the following topics: introduction to preliminaries, Counting, Sequences, Symbolic logic and proofs, Graph theory, Additional topics.
Author(s): University of Northern Colorado
414 Pages
Lecture Notes on Discrete Mathematics
This note explains the following topics: number systems, Propositions and logical operations, Sets, Relations and diagraphs, Recurrence relations, Classification of languages.
Author(s): NA
177 Pages
Digital Notes On Discrete Mathematics
This note explains the following topics related to Discrete Mathematics : Mathematical Logic, Relations, Algebraic structures, Elementary Combinatorics, Recurrence Relation, Graph Theory.
Author(s): Malla Reddy College Of Engineering and Technology
88 Pages
Discrete Mathematics by Andrew D. Ker
This PDF covers the following topics related to Discrete Mathematics : Introduction, Sets, Functions, Counting, Relations, Sequences, Modular Arithmetic, Asymptotic Notation, Orders.
Author(s): Andrew D. Ker, Oxford University Computing Laboratory
125 Pages
Discrete Structures by Allen Gehret
This PDF covers the following topics related to Discrete Mathematics : Introduction, Propositional Logic, Sets, and Induction, Relations, Functions, Counting, Sequences, Graphs and trees, A glimpse of infinity.
Author(s): Allen Gehret, UCLA
119 Pages
Elements of Discrete Mathematics by Richard Hammack
This book covers the following topics: Discrete Systems,Sets, Logic, Counting, Discrete Probability, Algorithms, Quantified Statements, Direct Proof, Proofs Involving Sets, Proving Non-Conditional Statements, Cardinality of Sets, Complexity of Algorithms.
Author(s): Richard Hammack
479 Pages
Discrete Mathematics II Set Theory for Computer Science
The aim of this note is to introduce fundamental concepts and techniques in set theory in preparation for its many applications in computer science. Topics covered includes: Mathematical argument, Sets and Logic, Relations and functions, Constructions on sets, Well-founded induction.
Author(s): Glynn Winskel
112 Pages
Discrete Mathematics Course Notes by Drew Armstrong
This note explains the following topics: Induction and Recursion, Steiner’s Problem, Boolean Algebra, Set Theory, Arithmetic, Principles of Counting, Graph Theory.
Author(s): Drew Armstrong
151 Pages