Mathematical Aspects of Computer and Information Sciences 7th edition by Johannes Blömer, Ilias Kotsireas, Temur Kutsia, Dimitris Simos ISBN 3319724525 978-3319724522

Mathematical Aspects of Computer and Information Sciences 7th edition by Johannes Blömer, Ilias Kotsireas, Temur Kutsia, Dimitris Simos – Ebook PDF Instant Download/Delivery: ‎ 3319724525, 978-3319724522
Full download Mathematical Aspects of Computer and Information Sciences 7th edition after payment

Product details: 

ISBN 10: ‎ 3319724525

ISBN 13: 978-3319724522

Author: Johannes Blömer, Ilias Kotsireas, Temur Kutsia, Dimitris Simos 

This book constitutes the refereed proceedings of the 7th International Conference on Mathematical Aspects of Computer and Information Sciences, MACIS 2017, held in Vienna, Austria, in November 2017.

The 28 revised papers and 8 short papers presented were carefully reviewed and selected from 67 submissions. The papers are organized in the following topical sections: foundation of algorithms in mathematics, engineering and scientific computation; combinatorics and codes in computer science; data modeling and analysis; and mathematical aspects of information security and cryptography.

Mathematical Aspects of Computer and Information Sciences 7th Table of contents: 

Part 1: Foundations

• Chapter 1: Introduction
  • The Role of Mathematics in Computer Science
  • Discrete Mathematics and its Applications
  • Mathematical Modeling in Computer Science
• Chapter 2: Set Theory and Logic
  • Set Theory Basics (Sets, Operations, Relations)
  • Propositional Logic and Predicate Logic
  • Proof Techniques

Part 2: Discrete Structures

• Chapter 3: Number Theory and Cryptography
  • Number Systems and Modular Arithmetic
  • Prime Numbers and Primality Testing
  • Cryptography and Data Security
• Chapter 4: Graph Theory
  • Graphs and their Representations
  • Graph Algorithms (Search, Shortest Paths, Minimum Spanning Trees)
  • Applications of Graph Theory (Networks, Social Networks)
• Chapter 5: Combinatorics
  • Counting Techniques (Permutations, Combinations)
  • Recurrence Relations and Generating Functions
  • Combinatorial Algorithms

Part 3: Algorithms and Data Structures

• Chapter 6: Algorithm Design and Analysis
  • Algorithm Design Techniques (Divide-and-Conquer, Greedy Algorithms, Dynamic Programming)
  • Algorithm Analysis (Time and Space Complexity)
  • Data Structures (Arrays, Lists, Trees, Graphs)
• Chapter 7: Computational Complexity
  • Complexity Classes (P, NP, NP-Complete)
  • Approximation Algorithms
  • Intractability and the Limits of Computation

Part 4: Information Theory and Coding

• Chapter 8: Information Theory
  • Entropy and Information Content
  • Source Coding and Data Compression
  • Channel Capacity and Error Correction
• Chapter 9: Coding Theory
  • Error-Correcting Codes
  • Data Encryption and Security
  • Applications of Coding Theory

Part 5: Advanced Topics

• Chapter 10: Computational Geometry
  • Geometric Algorithms and Data Structures
  • Computer Graphics and Image Processing
• Chapter 11: Formal Languages and Automata
  • Regular Languages and Finite Automata
  • Context-Free Languages and Pushdown Automata
• Chapter 12: Machine Learning
  • Mathematical Foundations of Machine Learning
  • Supervised and Unsupervised Learning
  • Artificial Neural Networks

Appendices

• Appendix A: Mathematical Notation and Symbols
• Appendix B: Tables and Formulas
• Appendix C: Glossary of Terms
• Appendix D: Further Reading and Resources

People also search for Mathematical Aspects of Computer and Information Sciences 7th:

mathematical computations

mathematical concepts in computer science

mathematical computer science

mathematical aspects of deep learning

aspects of a computer

Tags:

Johannes Blömer,Ilias Kotsireas,Temur Kutsia,Dimitris Simos,Mathematical Aspects,Information Sciences