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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 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
Discrete Structures Lecture Notes by Vladlen Koltun
This lecture note describes the following topics: Sets and Notation, Induction, Proof Techniques, Divisibility, Prime Numbers, Modular Arithmetic, Relations and Functions, Mathematical Logic, Counting, Binomial Coefficients, The Inclusion-Exclusion Principle, The Pigeonhole Principle, Asymptotic Notation, Graphs, Trees, Planar Graphs.
Author(s): Vladlen Koltun
89 Pages
Discrete Mathematics Lecture Notes Incomplete Preliminary Version
This note covers the following topics: Logic, Asymptotic Notation, Convex Functions and Jensen’s Inequality, Basic Number Theory, Counting, Binomial coefficients, Graphs and Digraphs, Finite Probability Space, Finite Markov Chains.
Author(s): Laszlo Babai
96 Pages
Notes on Discrete Mathematics by James Aspnes
This is a course note on discrete mathematics as used in Computer Science. Topics covered includes: Mathematical logic, Set theory, The real numbers, Induction and recursion, Summation notation, Asymptotic notation, Number theory, Relations, Graphs, Counting, Linear algebra, Finite fields.
Author(s): James Aspnes
390 Pages
Lecture Notes on Discrete Mathematics (PDF 111P)
This note covers the following topics: Preliminaries, Counting and Permutations, Advanced Counting, Polya Theory, Generating Functions and Its Applications.
Author(s): A. K. Lal
111 Pages
This note explains the following topics: Relations, Maps, Order relations, Recursion and Induction, Bounding some recurrences, Graphs, Lattices and Boolean Algebras.
Author(s): Hans Cuypers
74 Pages
Introduction to Finite Mathematics
This note covers the following topics: Compound Statements, Sets and subsets, Partitions and counting, Probability theory, Vectors and matrices, Linear programming and the theory of games, Applications to behavioral science problems.
Author(s): John G. Kemeny, J. Laurie Snell, and Gerald L. Thompson
NA Pages
Discrete Mathematics Study Guide UVIC
This note covers the following topics: Logic and Foundations, Proposition logic and quantifiers, Set Theory, Mathematical Induction, Recursive Definitions, Properties of Integers, Cardinality of Sets, Pigeonhole Principle, Combinatorial Arguments, Recurrence Relations.
Author(s): Dr. Gary MacGillivray
NA Pages
This note covers the following topics: Factorials , Binomial Theorem, Sequence and Series, Mathematical Induction.
Author(s): University of Southern Queensland
42 Pages
Fundamental Problems in Algorithmic Algebra
This book explains the following topics: Arithmetic, The Greatest Common Divisor, Subresultants, Modular Techniques, Fundamental Theorem of Algebra, Roots of Polynomials, Sturm Theory, Gaussian Lattice Reduction, Lattice Reduction and Applications, Linear Systems, Elimination Theory, Groebner Bases, Bounds in Polynomial Ideal Theory and Continued Fractions.
Author(s): Chee Yap
NA Pages
Introduction to Complexity Classes
This book explains the following topics: Computability, Initiation to Complexity Theory, The Turing Model: Basic Results, Introduction to the Class NP, Reducibilities, Complete Languages, Separation Results, Stochastic Choices, Quantum Complexity, Theory of Real Computation and Kolmogorov Complexity.
Author(s): Chee K. Yap
NA Pages
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Author(s): NA
NA Pages
Basics of Algebra and Analysis for Computer Science
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Author(s): NA
NA PagesAdvertisement
