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Mathematics: A Discrete Introduction / Edition 3
Mathematics: A Discrete Introduction / Edition 3 available in Hardcover
Overview
Master the fundamentals of discrete mathematics and proofwriting with MATHEMATICS: A DISCRETE INTRODUCTION! With a clear presentation, the mathematics text teaches you not only how to write proofs, but how to think clearly and present cases logically beyond this course. Though it is presented from a mathematician's perspective, you will learn the importance of discrete mathematics in the fields of computer science, engineering, probability, statistics, operations research, and other areas of applied mathematics. Tools such hints and proof templates prepare you to succeed in this course.
Product Details
ISBN13:  9780840049421 

Publisher:  Cengage Learning 
Publication date:  03/01/2012 
Pages:  624 
Sales rank:  803,790 
Product dimensions:  8.40(w) x 11.00(h) x 0.90(d) 
Read an Excerpt
Master the fundamentals of discrete mathematics and proofwriting with MATHEMATICS: A DISCRETE INTRODUCTION! With a clear presentation, the mathematics text teaches you not only how to write proofs, but how to think clearly and present cases logically beyond this course. Though it is presented from a mathematician's perspective, you will learn the importance of discrete mathematics in the fields of computer science, engineering, probability, statistics, operations research, and other areas of applied mathematics. Tools such hints and proof templates prepare you to succeed in this course.
First Chapter
Master the fundamentals of discrete mathematics and proofwriting with MATHEMATICS: A DISCRETE INTRODUCTION! With a clear presentation, the mathematics text teaches you not only how to write proofs, but how to think clearly and present cases logically beyond this course. Though it is presented from a mathematician's perspective, you will learn the importance of discrete mathematics in the fields of computer science, engineering, probability, statistics, operations research, and other areas of applied mathematics. Tools such hints and proof templates prepare you to succeed in this course.
Table of Contents
1. FUNDAMENTALS. Joy. Speaking (and Writing) of Mathetimatics. Definition. Theorem. Proof. Counterexample. Boolean Algebra. Self Test. 2. COLLECTIONS. Lists. Factorial. Sets I: Introduction, Subsets. Quantifiers. Sets II: Operations. Combinatorial Proof: Two Examples. Self Test. 3. COUNTING AND RELATIONS. Relations. Equivalence Relations. Partitions. Binomial Coefficients. Counting Multisets. InclusionExclusion. Self Test. 4. MORE PROOF. Contradiction. Smallest Counterexample. Induction. Recurrence Relations. Self Test. 5. FUNCTIONS. Functions. The Pigeonhole Principle. Composition. Permutations. Symmetry. Assorted Notation. Self Test. 6. PROBABILITY. Sample Space. Events. Conditional Probability and Independence. Random Variables. Expectation. Self Test. 7. NUMBER THEORY. Dividing. Greatest Common Divisor. Modular Arithmetic. The Chinese Remainder Theorem. Factoring. Self Test. 8. ALGEBRA. Groups. Group Isomorphism. Subgroups. Fermat's Little Theorem. PublicKey Cryptography I: Introduction. PublicKey Cryptography II: Rabin's Method. PublicKey Cryptography III: RSA. Self Test. 9. GRAPHS. Graph Theory Fundamentals. Subgraphs. Connection. Trees. Eulerian Graphs. Coloring. Planar Graphs. Self Test. 10. PARTIALLY ORDERED SETS. Partially Ordered Sets Fundamentals. Max and Min. Linear Orders. Linear Extensions. Dimension. Lattices. Self Test. APPENDICES. Lots of Hints and Comments; Some Answers. Solutions to Self Tests. Glossary. Fundamentals. Index.
Reading Group Guide
1. FUNDAMENTALS. Joy. Speaking (and Writing) of Mathetimatics. Definition. Theorem. Proof. Counterexample. Boolean Algebra. Self Test. 2. COLLECTIONS. Lists. Factorial. Sets I: Introduction, Subsets. Quantifiers. Sets II: Operations. Combinatorial Proof: Two Examples. Self Test. 3. COUNTING AND RELATIONS. Relations. Equivalence Relations. Partitions. Binomial Coefficients. Counting Multisets. InclusionExclusion. Self Test. 4. MORE PROOF. Contradiction. Smallest Counterexample. Induction. Recurrence Relations. Self Test. 5. FUNCTIONS. Functions. The Pigeonhole Principle. Composition. Permutations. Symmetry. Assorted Notation. Self Test. 6. PROBABILITY. Sample Space. Events. Conditional Probability and Independence. Random Variables. Expectation. Self Test. 7. NUMBER THEORY. Dividing. Greatest Common Divisor. Modular Arithmetic. The Chinese Remainder Theorem. Factoring. Self Test. 8. ALGEBRA. Groups. Group Isomorphism. Subgroups. Fermat's Little Theorem. PublicKey Cryptography I: Introduction. PublicKey Cryptography II: Rabin's Method. PublicKey Cryptography III: RSA. Self Test. 9. GRAPHS. Graph Theory Fundamentals. Subgraphs. Connection. Trees. Eulerian Graphs. Coloring. Planar Graphs. Self Test. 10. PARTIALLY ORDERED SETS. Partially Ordered Sets Fundamentals. Max and Min. Linear Orders. Linear Extensions. Dimension. Lattices. Self Test. APPENDICES. Lots of Hints and Comments; Some Answers. Solutions to Self Tests. Glossary. Fundamentals. Index.
Interviews
1. FUNDAMENTALS. Joy. Speaking (and Writing) of Mathetimatics. Definition. Theorem. Proof. Counterexample. Boolean Algebra. Self Test. 2. COLLECTIONS. Lists. Factorial. Sets I: Introduction, Subsets. Quantifiers. Sets II: Operations. Combinatorial Proof: Two Examples. Self Test. 3. COUNTING AND RELATIONS. Relations. Equivalence Relations. Partitions. Binomial Coefficients. Counting Multisets. InclusionExclusion. Self Test. 4. MORE PROOF. Contradiction. Smallest Counterexample. Induction. Recurrence Relations. Self Test. 5. FUNCTIONS. Functions. The Pigeonhole Principle. Composition. Permutations. Symmetry. Assorted Notation. Self Test. 6. PROBABILITY. Sample Space. Events. Conditional Probability and Independence. Random Variables. Expectation. Self Test. 7. NUMBER THEORY. Dividing. Greatest Common Divisor. Modular Arithmetic. The Chinese Remainder Theorem. Factoring. Self Test. 8. ALGEBRA. Groups. Group Isomorphism. Subgroups. Fermat's Little Theorem. PublicKey Cryptography I: Introduction. PublicKey Cryptography II: Rabin's Method. PublicKey Cryptography III: RSA. Self Test. 9. GRAPHS. Graph Theory Fundamentals. Subgraphs. Connection. Trees. Eulerian Graphs. Coloring. Planar Graphs. Self Test. 10. PARTIALLY ORDERED SETS. Partially Ordered Sets Fundamentals. Max and Min. Linear Orders. Linear Extensions. Dimension. Lattices. Self Test. APPENDICES. Lots of Hints and Comments; Some Answers. Solutions to Self Tests. Glossary. Fundamentals. Index.
Recipe
1. FUNDAMENTALS. Joy. Speaking (and Writing) of Mathetimatics. Definition. Theorem. Proof. Counterexample. Boolean Algebra. Self Test. 2. COLLECTIONS. Lists. Factorial. Sets I: Introduction, Subsets. Quantifiers. Sets II: Operations. Combinatorial Proof: Two Examples. Self Test. 3. COUNTING AND RELATIONS. Relations. Equivalence Relations. Partitions. Binomial Coefficients. Counting Multisets. InclusionExclusion. Self Test. 4. MORE PROOF. Contradiction. Smallest Counterexample. Induction. Recurrence Relations. Self Test. 5. FUNCTIONS. Functions. The Pigeonhole Principle. Composition. Permutations. Symmetry. Assorted Notation. Self Test. 6. PROBABILITY. Sample Space. Events. Conditional Probability and Independence. Random Variables. Expectation. Self Test. 7. NUMBER THEORY. Dividing. Greatest Common Divisor. Modular Arithmetic. The Chinese Remainder Theorem. Factoring. Self Test. 8. ALGEBRA. Groups. Group Isomorphism. Subgroups. Fermat's Little Theorem. PublicKey Cryptography I: Introduction. PublicKey Cryptography II: Rabin's Method. PublicKey Cryptography III: RSA. Self Test. 9. GRAPHS. Graph Theory Fundamentals. Subgraphs. Connection. Trees. Eulerian Graphs. Coloring. Planar Graphs. Self Test. 10. PARTIALLY ORDERED SETS. Partially Ordered Sets Fundamentals. Max and Min. Linear Orders. Linear Extensions. Dimension. Lattices. Self Test. APPENDICES. Lots of Hints and Comments; Some Answers. Solutions to Self Tests. Glossary. Fundamentals. Index.
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