Discrete Mathematics

 

Discrete mathematics and its application By Rosen



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Discrete Math Lecture Notes PPT




Topics
Lecture Download
Introduction: course policies; Overview, Logic,   Propositionsppt
Tautologies, Logical Equivalencesppt
Predicates and Quantifiers: "there exists" and   "for all"ppt
Sets: curly brace notation, cardinality, containment,   empty set {, power set P(S), N-tuples and Cartesian product. Set Operations:   set operations union and disjoint union, intersection, difference,   complement, symmetric differenceppt
Functions: domain, co-domain, range; image, pre-image;   one-to-one, onto, bijective, inverse; functional composition and   exponentiation; ceiling and floor. Sequences, Series, Countability:   Arithmetic and geometric sequences and sums, countable and uncountable sets,   Cantor's diagonilation argument.ppt
Big-Oh, Big-Omega, Big-Theta: Big-Oh/Omega/Theta notation,   algorithms, pseudo-code, complexity.ppt
Integers: Divisors Primality Fundamental Theorem of   Arithmetic. Modulii: Division Algorithm, Greatest common divisors/least   common multiples, Relative Primality, Modular arithmetic, Caesar Cipher,ppt
Number Theoretic Algorithms: Euclidean Algorithm for GCD;   Number Systems: Decimal, binary numbers, others bases;ppt
RSA Cryptography: General Method, Fast Exponentiation,   Extended Euler Algorithm, Modular Inverses, Exponential Inverses, Fermat's   Little Theorem, Chinese Remainder Theoremppt
Proof Techniques.ppt
Induction Proofs: Simple induction, strong induction,   program correctnessppt
Recursion: Recursive Definitions, Strings, Recursive   Functions.ppt
Counting Fundamentals: Sum Rule, Product Rule,   Inclusion-Exclusion, Pigeonhole Principle Permutations.ppt
r-permutations: P(n,r), r-combinations:   C(n,r), Anagrams, Cards and Poker; Discrete probability: NY   State Lotto, Random Variables, Expectation, Variance, Standard Deviation.ppt
Stars and Bars.ppt
Recurrence Relations: linear recurrence relations with   constant coefficients, homogeneous and non-homogeneous, non-repeating and   repeating roots; Generelized Includsion-Exclusion: counting onto functions,   counting derangementsppt
Representing Relations: Subsets of Cartesian products,   Column/line diagrams, Boolean matrix, Digraph; Operations on Relations:   Boolean, Inverse, Composition, Exponentiation, Projection, Joinppt
Graph theory basics and definitions: Vertices/nodes,   edges, adjacency, incidence; Degree, in-degree, out-degree; Degree,   in-degree, out-degree; Subgraphs, unions, isomorphism; Adjacency matrices.   Types of Graphs: Trees; Undirected graphs; Simple graphs, Multigraphs,   Pseudographs; Digraphs, Directed multigraph; Bipartite; Complete graphs,   cycles, wheels, cubes, complete bipartite.ppt
Connectedness, Euler and Hamilton Pathsppt
Planar Graphs, Coloringppt
Reading Period. Review session TBA.ppt

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