Mathematical Structures For Computer Science


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Mathematical Structures for Computer Science


Mathematical Structures for Computer Science

Author: Judith L. Gersting

language: en

Publisher: Macmillan

Release Date: 2007


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This edition offers a pedagogically rich and intuitive introduction to discrete mathematics structures. It meets the needs of computer science majors by being both comprehensive and accessible.

Mathematical Structures for Computer Science


Mathematical Structures for Computer Science

Author: Judith L. Gersting

language: en

Publisher: Macmillan Higher Education

Release Date: 2014-03-01


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Judith Gerstings Mathematical Structures for Computer Science has long been acclaimed for its clear presentation of essential concepts and its exceptional range of applications relevant to computer science majors. Now with this new edition, it is the first discrete mathematics textbook revised to meet the proposed new ACM/IEEE standards for the course.

Mathematics of Discrete Structures for Computer Science


Mathematics of Discrete Structures for Computer Science

Author: Gordon J. Pace

language: en

Publisher: Springer Science & Business Media

Release Date: 2012-07-09


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Mathematics plays a key role in computer science, some researchers would consider computers as nothing but the physical embodiment of mathematical systems. And whether you are designing a digital circuit, a computer program or a new programming language, you need mathematics to be able to reason about the design -- its correctness, robustness and dependability. This book covers the foundational mathematics necessary for courses in computer science. The common approach to presenting mathematical concepts and operators is to define them in terms of properties they satisfy, and then based on these definitions develop ways of computing the result of applying the operators and prove them correct. This book is mainly written for computer science students, so here the author takes a different approach: he starts by defining ways of calculating the results of applying the operators and then proves that they satisfy various properties. After justifying his underlying approach the author offers detailed chapters covering propositional logic, predicate calculus, sets, relations, discrete structures, structured types, numbers, and reasoning about programs. The book contains chapter and section summaries, detailed proofs and many end-of-section exercises -- key to the learning process. The book is suitable for undergraduate and graduate students, and although the treatment focuses on areas with frequent applications in computer science, the book is also suitable for students of mathematics and engineering.


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