This is a revision of a one-semester survey of combinatorial analysis and graph theory, designed for mathematics and computer science majors. Three principal aspects of combinatorial reasoning are emphasized in this book: the systematic analysis of different possibilities, the exploration of the logical structure of a problem, and ingenuity. Keeping theory to a minimum, it uses numerical examples to demonstrate the combinatorial reasoning involved in computer science, operations research, and finite probability. This edition gives more attention to computer science's use of combinatorics. Includes a new chapter on topics in theoretical computer science, a new section on recursive programs, an enlarged discussion of algorithms to generate combinatorial sets, and additional programming exercises.
Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.
This is a revision of a one-semester survey of combinatorial analysis and graph theory, designed for mathematics and computer science majors. Three principal aspects of combinatorial reasoning are emphasized in this book: the systematic analysis of different possibilities, the exploration of the logical structure of a problem, and ingenuity. Keeping theory to a minimum, it uses numerical examples to demonstrate the combinatorial reasoning involved in computer science, operations research, and finite probability. This edition gives more attention to computer science's use of combinatorics. Includes a new chapter on topics in theoretical computer science, a new section on recursive programs, an enlarged discussion of algorithms to generate combinatorial sets, and additional programming exercises.
„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.
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