DISCRETE MATHEMATICS DOSSEY 5TH EDITION PDF

View larger. An ever-increasing percentage of mathematic applications involve discrete rather than continuous models. Driving this trend is the integration of the computer into virtually every aspect of modern society. Intended for a one-semester introductory course, the strong algorithmic emphasis of Discrete Mathematics is independent of a specific programming language, allowing students to concentrate on foundational problem-solving and analytical skills. Instructors get the topical breadth and organizational flexibility to tailor the course to the level and interests of their students.

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View larger. An ever-increasing percentage of mathematic applications involve discrete rather than continuous models. Driving this trend is the integration of the computer into virtually every aspect of modern society. Intended for a one-semester introductory course, the strong algorithmic emphasis of Discrete Mathematics is independent of a specific programming language, allowing students to concentrate on foundational problem-solving and analytical skills.

Instructors get the topical breadth and organizational flexibility to tailor the course to the level and interests of their students.

Section 1. Section 2. Section 3. Section 4. Section 5. Section 6. Section 7. Section 8. Section 9. Section Section A. Pearson offers special pricing when you package your text with other student resources. If you're interested in creating a cost-saving package for your students, contact your Pearson rep.

We're sorry! We don't recognize your username or password. Please try again. The work is protected by local and international copyright laws and is provided solely for the use of instructors in teaching their courses and assessing student learning.

You have successfully signed out and will be required to sign back in should you need to download more resources. This title is out of print. Discrete Mathematics, 5th Edition. John A. Availability This title is out of print. Description An ever-increasing percentage of mathematic applications involve discrete rather than continuous models.

Approach: A strong algorithmic emphasis serves to unify the material. Algorithms are presented in English, eliminating the need for knowledge of a particular programming language. Flexible Design: The wealth of material in Discrete Mathematics gives instructors the freedom to tailor their course to suit the interests and level of their students.

The relative independence of chapters along with an optional review of logic and proof in the appendix allows for considerable flexibility in structuring a course. Exercises: Straightforward computational and algorithmic exercise sets follow each chapter section immediately reinforcing material and providing valuable hands-on practice with core concepts.

Further exercises extend chapter material and introduce new concepts, and more challenging, advanced exercises are identified as such. Supplementary Exercises: Ending each chapter, these sets of supplementary exercises reprise the most important concepts and techniques of the chapter and explore new ideas not covered elsewhere.

Computer Projects: Computer Projects, included at the end each chapter, challenge students to apply chapter content to actual applications and underscore the connection between computing and discrete mathematics. These are purposely stated in general terms for use with any number of computing systems and languages. These compelling portraits of influential mathematicians tell the story behind the theories and concepts in the chapter.

New to This Edition. New Chapter 3: Coding Theory addresses congruences, the Euclidean algorithm and related topics from number theory, the RSA method of public key cryptography, error-detecting and error-correcting codes, and matrix codes.

Recent developments in discrete mathematics are recognized in this edition, resulting in a more up-to-date textbook.

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Discrete Mathematics, 5th Edition

The strong algorithmic emphasis of Discrete Mathematics is independent of a specific programming language, allowing students to concentrate on foundational problem-solving and analytical skills. Instructors get the topical breadth and organizational flexibility to tailor the course to the level and interests of their students. Algorithms are presented in English, eliminating the need for knowledge of a particular programming language. Computational and algorithmic exercise sets follow each chapter section and supplementary exercises and computer projects are included in the end-of-chapter material.

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