Written for the one-term course, Essentials of Discrete Mathematics, Third Edition is designed to serve computer science and mathematics majors, as well as students from a wide range of other disciplines. The mathematical material is organized around five types of thinking: logical, relational, recursive, quantitative, and analytical. This presentation results in a coherent outline that steadily builds upon mathematical sophistication. Graphs are introduced early and referred to throughout the text, providing a richer context for examples and applications. Algorithms are presented near the end of the text, after students have acquired the skills and experience needed to analyze them. The final chapter emphasizes the multidisciplinary approach and contains case studies that integrate the fields of biology, sociology, linguistics, economics, and music. New & Key Features: NEW – Student Inquiry Problems, found at the beginning of each section, are designed to introduce and motivate the material in the section that follows NEW – Incorporates new content on Graph Theory - Coverage of algorithms appropriate for computer science majors, as well as students with no previous programming experience - Careful attention to mathematical logic and proof techniques - Instructor resources include an Instructor’s Solutions Manual, slides in PowerPoint format, and additional Inquiry Problems
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David J. Hunter is a professor of Mathematics and Computer Science at Westmont College.
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Seller: World of Books (was SecondSale), Montgomery, IL, U.S.A.
Hardback. Condition: Fair. Written for the one-term course, the Third Edition of Essentials of Discrete Mathematics is designed to serve computer science majors as well as students from a wide range of disciplines. The material is organized around five types of thinking: logical, relational, recursive, quantitative, and analytical. This presentation results in a coherent outline that steadily builds upon mathematical sophistication. Graphs are introduced early and referred to throughout the text, providing a richer context for examples and applications. tudents will encounter algorithms near the end of the text, after they have acquired the skills and experience needed to analyze them. The final chapter contains in-depth case studies from a variety of fields, including biology, sociology, linguistics, economics, and music. Seller Inventory # 00109586604
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Hardcover. Condition: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less. Seller Inventory # G1284056244I4N00
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Hardcover. Condition: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less. Seller Inventory # G1284056244I3N00
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Hardcover. Condition: Very Good. 3. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting. Seller Inventory # 1284056244-8-1
Seller: ThriftBooks-Dallas, Dallas, TX, U.S.A.
Hardcover. Condition: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less. Seller Inventory # G1284056244I4N00
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