This text, presented in three parts (Combinatorics, Probability, Graphs) addresses all those who wish to acquire basic or advanced knowledge in combinatorial theories. Basic and advanced theoretical elements are presented through simple applications like the Sudoku game, search engine algorithm and other easy to grasp applications. Num Pages: 940 pages, Illustrations. BIC Classification: PBV. Category: (P) Professional & Vocational. Dimension: 235 x 164 x 54. Weight in Grams: 1448. . 2010. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.

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Bibliographic Details

Title: Mathematics for Informatics and Computer Science
Publisher: ISTE Ltd and John Wiley & Sons Inc
Publication Date: 2010
Language: English
ISBN 10: 1848211961
ISBN 13: 9781848211964
Binding: Hardcover
Condition: New

About this title

Synopsis

Mathematics for Informatics and Computer Science

How many ways do exist to mix different ingredients, how many chances to win a gambling game, how many possible paths going from one place to another in a network? To this kind of questions Mathematics applied to computer gives a stimulating and exhaustive answer. This text, presented in three parts (Combinatorics, Probability, Graphs) addresses all those who wish to acquire basic or advanced knowledge in combinatorial theories. It is actually also used as a textbook.

Basic and advanced theoretical elements are presented through simple applications like the Sudoku game, search engine algorithm and other easy to grasp applications. Through the progression from simple to complex, the teacher acquires knowledge of the state of the art of combinatorial theory. The non conventional simultaneous presentation of algorithms, programs and theory permits a powerful mixture of theory and practice.

All in all, the originality of this approach gives a refreshing view on combinatorial theory.

About the Author

Pierre Audibert obtained his engineering degree from the prestigious Ponts-et-Chauss�es Institute, before becoming certified as a teacher of higher mathematics. He also has a PhD in Computer Science. He currently teaches at the University of Paris 8 and is a member of the Advanced Computer Science Laboratory of Saint Denis (LIASD), France.

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