ISBN: 9781774698303 - discrete mathematics for computer science (16 risultati)

Condizione: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.

Condizione: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

Condizione: Used.

Condizione: Used.

Condizione: Used.

Condizione: New. 2024. hardcover. . . . . .

Condizione: New.

Hardcover. Condizione: Brand New. 277 pages. 9.00x6.00x9.02 inches. In Stock.

HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Condizione: New. &Uumlber den AutorProf Pomde N. (1984) is presently working as a Assistant Professor, Dept of Agriculture Engineering and Mathematics, College of Agricultural Naigaon Bz, . He has 13 years of experience in teaching and Extension in this.

Condizione: New. 2024. hardcover. . . . . . Books ship from the US and Ireland.

Condizione: As New. Unread book in perfect condition.

Condizione: New. In English.

Buch. Condizione: Neu. Neuware - This book discusses the role of proofs in mathematics and computer science. In mathematics, a proof involves validating a proposition through logical deductions from axioms. Computer scientists focus on demonstrating program accuracy, given the increasing error susceptibility of software. A community of specialists aims to enhance program precision, extending to verifying computer processor chips for leading manufacturers. Creating mathematical models to affirm program validity is an active study area. A proof, in this context, involves a sequence of logical deductions from axioms and established statements, leading to the desired proposition. While crafting proofs may seem daunting, standard templates offer a framework. Some templates can be interconnected, providing both high-level structure and detailed guidance. The Principle of Mathematical Induction is applied to validate algorithms without computer reliance. Sets underpin modern mathematics and software engineering, introduced with language and typical tasks. Primary set operations' understanding enables proof techniques for functions, relations, and graphs, validating algorithms for specific tasks. The book delves into language describing element collections and sets, providing proof templates for comprehension and construction. The book covers common set operations, introduces additional proof templates, and addresses numbering elements and the Principle of Mathematical Induction. This exploration deepens the understanding of mathematical proofs and their role in computer science applications.…