This updated second edition now covers the design and analysis of algorithms using Python, and features more than 50 new problems, complete with solutions.
Topics and features:
- Provides a substantial collection of problems and examples of varying levels of difficulty, suitable for both laboratory practical training and self-study
- Offers detailed solutions to each problem, applying commonly-used methods and computational schemes
- Introducesthe fundamentals of mathematical logic, the theory of algorithms, Boolean algebra, graph theory, sets, relations, functions, and combinatorics
- Presents more advanced material on the design and analysis of algorithms, including Turing machines, asymptotic analysis, and parallel algorithms
- Includes reference lists of trigonometric and finite summation formulae in an appendix, together with basic rules for differential and integral calculus
This hands-on workbook is an invaluable resource for undergraduate students of computer science, informatics, and electronic engineering. Suitable for use in a one- or two-semester course on discrete mathematics, the text emphasizes the skills required to develop and implement an algorithm in a specific programming language.
¿Dr. Sergei Kurgalin is a Professor and Head of the Department of Digital Technologies at Voronezh State University, Russia. Dr. Sergei Borzunov is an Associate Professor at the same institution.
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