証明付き離散数学（第３版） Discrete Mathematics : Proofs, Structures and Applications, Third Edition （3RD）

証明付き離散数学（第３版）<br>Discrete Mathematics : Proofs, Structures and Applications, Third Edition （3RD）

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証明付き離散数学（第３版）
Discrete Mathematics : Proofs, Structures and Applications, Third Edition （3RD）

Garnier, Rowan/ Taylor, John

ウェブストア価格 ¥24,548（本体¥22,317）
CRC Press Inc（2009/11発売）
外貨定価 US$ 125.00
ポイント 223pt

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製本 Hardcover:ハードカバー版／ページ数 846 p.
言語 ENG
商品コード 9781439812808
DDC分類 511.1

基本説明

This chapter explores groups that arise in modular arithmetic and RSA encyption, a widely used public key encryption scheme that enables practical and secure means of encrypting data.

Full Description

Taking an approach to the subject that is suitable for a broad readership, Discrete Mathematics: Proofs, Structures, and Applications, Third Edition provides a rigorous yet accessible exposition of discrete mathematics, including the core mathematical foundation of computer science. The approach is comprehensive yet maintains an easy-to-follow progression from the basic mathematical ideas to the more sophisticated concepts examined later in the book. This edition preserves the philosophy of its predecessors while updating and revising some of the content.

New to the Third EditionIn the expanded first chapter, the text includes a new section on the formal proof of the validity of arguments in propositional logic before moving on to predicate logic. This edition also contains a new chapter on elementary number theory and congruences. This chapter explores groups that arise in modular arithmetic and RSA encryption, a widely used public key encryption scheme that enables practical and secure means of encrypting data. This third edition also offers a detailed solutions manual for qualifying instructors.

Exploring the relationship between mathematics and computer science, this text continues to provide a secure grounding in the theory of discrete mathematics and to augment the theoretical foundation with salient applications. It is designed to help readers develop the rigorous logical thinking required to adapt to the demands of the ever-evolving discipline of computer science.

Logic. Mathematical Proof. Sets. Relations. Functions. Matrix Algebra. Systems of Linear Equations. Algebraic Structures. Introduction to Number Theory. Boolean Algebra. Graph Theory. Applications of Graph Theory. References and Further Reading. Hints and Solutions to Selected Exercises. Index.