Using a traditional deductive approach, this book looks into the fundamental ideas in discrete mathematics, including graph theory, combinatorics, number theory, coding theory, combinatorial optimization and abstract algebra. It can be approached by anyone with basic competence in arithmetic and experience of simple algebraic manipulations and students of computer science whose curriculum may now allow the study of many ancillary mathematics courses. The main changes to this new edition are to present descriptions of numerous algorithms on a form close to that of a real programming language. The aim is to enable students to develop practical programs from the design of algorithms.
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A well known definition says that a textbook is a book such that everybody thinks he can write a better one. Biggs' Discrete Mathematics is an exception - not only for its wide range of topics and its clear organization but notably for its excellent style of explanation. (EMS)
Norman L. Biggs is Professor of Mathematics, London School of Economics, University of London
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Revised Edition. Very good paperback copy; edges slightly dust-dulled and nicked. Remains particularly well-preserved overall; tight, bright, and clean. Physical description: xiv, 480 pages : illustrations ; 24 cm. Subjects: Computer science Mathematics; Informatique Mathématiques; Mathematics; Electronic data processing Mathematics; Computers and computing Mathematics; Mathematics 1961-; Discrete Mathematics; Finite mathematics. 1 Kg. Seller Inventory # 413186
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