Title Details: | |
Discrete Mathematics |
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Authors: |
Kolountzakis, Michail Papachristodoulos, Christos |
Reviewer: |
Loulakis, Michail |
Subject: | MATHEMATICS AND COMPUTER SCIENCE > COMPUTER SCIENCE > DISCRETE STRUCTURES MATHEMATICS AND COMPUTER SCIENCE > MATHEMATICS > COMBINATORICS > ENUMERATIVE COMBINATORICS MATHEMATICS AND COMPUTER SCIENCE > MATHEMATICS > COMBINATORICS > GRAPH THEORY MATHEMATICS AND COMPUTER SCIENCE > MATHEMATICS > COMBINATORICS > EXTREMAL COMBINATORIC MATHEMATICS AND COMPUTER SCIENCE > MATHEMATICS > COMBINATORICS > ALGEBRAIC COMBINATORICS MATHEMATICS AND COMPUTER SCIENCE > MATHEMATICS > PROBABILITY THEORY AND STOCHASTIC PROCESSES > COMBINATORIAL PROBABILITY |
Keywords: |
Discrete Mathematics
Probability Graph Theory Automata |
Description: | |
Abstract: |
This book will include material that goes beyond a typical "Discrete Mathematics" course as mostly taken by students in Computer Science departments. It will start with the basic concepts of Set Theory and Logic, to a level which will allow their easier use later in the course)and without particular emphasis on difficult theorems (but the diagonal argument that serves both the concept of countability and computability will be discussed). Some basic concepts of Number Theory will follow (divisibility, analysis into primes, Euclidean algorithm, calculations with remainders). Concepts and techniques of enumeration in Combinatorics occupy the first important section of the course and are followed by the next section which are the central concepts of Graph theory (degrees, connectivity, colorings, bipartite graphs, matchings in bipartite graphs and duality, trees, basic algorithms).After the introduction to combinatorial enumeration, the concept of discrete probability, random variables and their mean value are introduced which enable us to give many applications to non-probabilistic (and algorithmic) problems. Additional material includes elements of the theory of formal languages: regular languages, deterministic and non-deterministic automata, algorithms for automata. This material must be considered as outside the basic course of Discrete Mathematics and as additional material to which the teacher can move if circumstances allow it or needs require it.
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Type: |
Undergraduate textbook |
Creation Date: | 2015 |
Item Details: | |
ISBN |
978-960-603-361-2 |
License: |
Attribution – NonCommercial – NoDerivatives 4.0 International (CC BY-NC-ND 4.0) |
DOI | http://dx.doi.org/10.57713/kallipos-517 |
Handle | http://hdl.handle.net/11419/5187 |
Bibliographic Reference: | Kolountzakis, M., & Papachristodoulos, C. (2015). Discrete Mathematics [Undergraduate textbook]. Kallipos, Open Academic Editions. https://dx.doi.org/10.57713/kallipos-517 |
Language: |
Greek |
Consists of: |
1. Basic concepts from Set Theory and Propositional Calculus 2. Number Theory 3. Basic principles of enumeration 4. Advanced enumeration 5. Introduction to graph theory. 6. Binary graphs and matches 7. Standard languages and automata 8. Algorithms for automata 9. Context free grammars 10. Computability 11. Introduction to discrete probability 12. Random variables and mean value |
Number of pages |
259 |
Publication Origin: |
Kallipos, Open Academic Editions |
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