Discrete Structures Lecture Notes by Vladlen Koltun
Discrete Structures Lecture Notes by Vladlen Koltun
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.
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
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
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.
This note explains the
following topics: positional and modular number systems, relations and their
graphs, discrete functions, set theory, propositional and predicate logic,
sequences, summations, mathematical induction and proofs by contradiction.
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.
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.
This note
explains the following topics: Arithmetic, Logic and Numbers, Boolean Functions
and Computer Arithmetic, Number Theory and Cryptography, Sets, Equivalence and
Order, Functions, Induction, Sequences and Series, Lists, Decisions and Graphs,
Basic Counting and Listing, Decision Trees, Basic Concepts in Graph Theory.
Author(s): Edward A. Bender and S. Gill Williamson
This note covers the following topics: fundamentals of
mathematical logic , fundamentals of mathematical proofs , fundamentals of
set theory , relations and functions , introduction to the Analysis of
Algorithms, Fundamentals of Counting and Probability Theory and Elements of
Graph Theory.
Author(s): Marcel B. Finan, Arkansas Tech
University
This note
covers the following topics: Preliminaries, Counting and Permutations,
Advanced Counting, Polya Theory, Generating Functions and Its Applications.
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.
This note explains the following topics: Relations, Maps, Order
relations, Recursion and Induction, Bounding some recurrences, Graphs, Lattices
and Boolean Algebras.
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.
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.