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Mathematics in Computing : An Accessible Guide to Historical, Foundational and Application Contexts / by Gerard O'Regan.
- Format:
- Book
- Author/Creator:
- O'Regan, Gerard, author.
- Series:
- Computer Science (Springer-11645)
- Undergraduate topics in computer science 1863-7310
- Undergraduate Topics in Computer Science, 1863-7310
- Language:
- English
- Subjects (All):
- Computer science--Mathematics.
- Computer science.
- Logic, Symbolic and mathematical.
- Coding theory.
- Information theory.
- Mathematics.
- History.
- Math Applications in Computer Science.
- Mathematical Applications in Computer Science.
- Mathematical Logic and Formal Languages.
- Coding and Information Theory.
- History of Mathematical Sciences.
- Local Subjects:
- Math Applications in Computer Science.
- Mathematical Applications in Computer Science.
- Mathematical Logic and Formal Languages.
- Coding and Information Theory.
- History of Mathematical Sciences.
- Physical Description:
- 1 online resource (XXVI, 458 pages) : 206 illustrations, 73 illustrations in color.
- Edition:
- Second edition 2020.
- Contained In:
- Springer eBooks
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2020.
- System Details:
- text file PDF
- Summary:
- This illuminating textbook provides a concise review of the core concepts in mathematics essential to computer scientists. Emphasis is placed on the practical computing applications enabled by seemingly abstract mathematical ideas, presented within their historical context. The text spans a broad selection of key topics, ranging from the use of finite field theory to correct code and the role of number theory in cryptography, to the value of graph theory when modelling networks and the importance of formal methods for safety critical systems. Topics and features: Includes numerous pedagogical features, such as chapter-opening key topics, chapter introductions and summaries, review questions, and a glossary Describes the historical contributions of such prominent figures as Leibniz, Babbage, Boole, and von Neumann Introduces the fundamental mathematical concepts of sets, relations and functions, along with the basics of number theory, algebra, algorithms, and matrices Explores arithmetic and geometric sequences and series, mathematical induction and recursion, graph theory, computability and decidability, and automata theory Reviews the core issues of coding theory, language theory, software engineering, and software reliability, as well as formal methods and model checking Covers key topics on logic, from ancient Greek contributions to modern applications in AI, and discusses the nature of mathematical proof and theorem proving Presents a short introduction to probability and statistics, complex numbers and quaternions, and calculus This engaging and easy-to-understand book will appeal to students of computer science wishing for an overview of the mathematics used in computing, and to mathematicians curious about how their subject is applied in the field of computer science. The book will also capture the interest of the motivated general reader.
- Contents:
- What is a Computer?
- Foundations of Computing
- Overview of Mathematics in Computing
- Introduction to Algorithms
- Number Theory
- Algebra
- Sequences, Series, and Permutations and Combinations
- Mathematical Induction and Recursion
- Graph Theory
- Cryptography
- Coding Theory
- Language Theory and Semantics
- Computability and Decidability
- Matrix Theory
- A Short History of Logic
- Propositional and Predicate Logic
- Advanced Topics in Logic
- The Nature of Theorem Proving
- Software Engineering Mathematics
- Software Reliability and Dependability
- Overview of Formal Methods
- Z Formal Specification Language
- Automata Theory
- Model Checking
- Probability and Statistics
- Complex Numbers and Quaternions
- Calculus
- Epilogue.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-030-34209-8
- 9783030342098
- 9783030342081
- 9783030342104
- Access Restriction:
- Restricted for use by site license.
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