Mathematical Structures for Computer Science by Judith L. GerstingComputing Curricula 2001 (CC2001), a joint undertaking of the Institute for Electrical and Electronic Engineers/Computer Society (IEEE/CS) and the Association for Computing Machinery (ACM), identifies the essential material for an undergraduate degree in computer science.
This Sixth Edition of Mathematical Structures for Computer Science covers all the topics in the CC2001 suggested curriculum for a one-semester intensive discrete structures course, and virtually everything suggested for a two-semester version of a discrete structures course. Gerstings text binds together what otherwise appears to be a collection of disjointed topics by emphasizing the following themes:
• Importance of logical thinking
• Power of mathematical notation
• Usefulness of abstractions
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Judith Gersting's 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. New Feature! Special Interest Each chapter features a special interest topic that highlights the practical relevance of a specific concept. Mathematical Structures for Computer Science. Section 1. Recursion, Recurrence Relations, and Analysis of Algorithms 3. Modeling Arithmetic, Computation, and Languages 9.
Recommend to library. Hardcover - Free Shipping. Gersting, is a vital textbook for computer science undergraduate students, which helps to introduce readers to the maths behind computing. This textbook has This textbook has long been much loved and acclaimed for its clear, concise presentation of essential concepts and its exceptional range of applications relevant to computer science majors.
Discrete mathematics is the study of mathematical structures that are fundamentally discrete rather than continuous. In contrast to real numbers that have the property of varying "smoothly", the objects studied in discrete mathematics — such as integers , graphs , and statements in logic  — do not vary smoothly in this way, but have distinct, separated values.
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