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Fundamental Proof Methods in Computer Science: A Computer-Based Approach (MIT Press)
Konstantine Arkoudas
€ 88.32
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Description for Fundamental Proof Methods in Computer Science: A Computer-Based Approach (MIT Press)
Hardcover. Num Pages: 976 pages, 28 b&w illus. BIC Classification: UMS. Category: (U) Tertiary Education (US: College). Dimension: 229 x 203 x 33. .
A textbook that teaches students to read and write proofs using Athena. Proof is the primary vehicle for knowledge generation in mathematics. In computer science, proof has found an additional use: verifying that a particular system (or component, or algorithm) has certain desirable properties. This book teaches students how to read and write proofs using Athena, a freely downloadable computer language. Athena proofs are machine-checkable and written in an intuitive natural-deduction style. The book contains more than 300 exercises, most with full solutions. By putting proofs into practice, it demonstrates the fundamental role of logic and proof ... Read more
A textbook that teaches students to read and write proofs using Athena. Proof is the primary vehicle for knowledge generation in mathematics. In computer science, proof has found an additional use: verifying that a particular system (or component, or algorithm) has certain desirable properties. This book teaches students how to read and write proofs using Athena, a freely downloadable computer language. Athena proofs are machine-checkable and written in an intuitive natural-deduction style. The book contains more than 300 exercises, most with full solutions. By putting proofs into practice, it demonstrates the fundamental role of logic and proof ... Read more
Product Details
Format
Hardback
Publication date
2017
Publisher
The MIT Press
Condition
New
Number of Pages
976
Place of Publication
Cambridge, Mass., United States
ISBN
9780262035538
SKU
V9780262035538
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
About Konstantine Arkoudas
Konstantine Arkoudas is a Senior Research Scientist and Software Architect at Bloomberg. David Musser is Professor Emeritus of Computer Science at Rensselaer Polytechnic Institute.
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