Essentials of Discrete Mathematics is the ideal text for a one-term discrete mathematics course to serve computer science majors as well students from a wide range of other disciplines. The material is organized around five types of mathematical 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. Students will encounter algorithms near the end of the text, after they have acquired enough skills and experience to analyze them properly. The final chapter contains in-depth case studies from a variety of fields, including biology, sociology, linguistics, economics, and music. Clear and concise, Essentials of Discrete Mathematics presents a unified and complete picture of discrete math that instructors can move through in a single semester.
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relational thinking, analytical thinking, program verification, quantitative thinking, recursive data structures, following pseudocode segment, shapes whose limit, merge subroutine, quotient network, use strong induction, regular equivalence relation, terminal language, pseudocode version, recursive thinking, negated statement, set builder notation, signed graph, recursive part, proof sequence, possible data sets, recursive case, following recurrence relation, inductive hypothesis, undirected tree, multiplication principle Key Phrases - Capitalized Phrases (CAPs): (learn more)
Inductive Step, Proof Let, Use Definition, Logical Thinking, Proof Exercise, Oficina Vallejo, Prove Theorem, Schoenberg's Serenade, Draw the Hasse, Use Theorem, Discrete Probability, Consider Algorithm, Kevin Bacon, Proof Suppose, Thinking Through Applications, Three Common Types of Algorithms, Computer Science, Linear Algebra, Computer Graphics, Rule of Thumb, Towers of Hanoi, California Towhee, Counting Operations, Steller's Jay, San Diego Browse Sample Pages:
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relational thinking, analytical thinking, program verification, quantitative thinking, recursive data structures, following pseudocode segment, shapes whose limit, merge subroutine, quotient network, use strong induction, regular equivalence relation, terminal language, pseudocode version, recursive thinking, negated statement, set builder notation, signed graph, recursive part, proof sequence, possible data sets, recursive case, following recurrence relation, inductive hypothesis, undirected tree, multiplication principle Key Phrases - Capitalized Phrases (CAPs): (learn more)
Inductive Step, Proof Let, Use Definition, Logical Thinking, Proof Exercise, Oficina Vallejo, Prove Theorem, Schoenberg's Serenade, Draw the Hasse, Use Theorem, Discrete Probability, Consider Algorithm, Kevin Bacon, Proof Suppose, Thinking Through Applications, Three Common Types of Algorithms, Computer Science, Linear Algebra, Computer Graphics, Rule of Thumb, Towers of Hanoi, California Towhee, Counting Operations, Steller's Jay, San Diego Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
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