Category theory is a branch of pure mathematics that is becoming an increasingly important tool in theoretical computer science, especially in programming language semantics, domain theory, and concurrency, where it is already a standard language of discourse. Assuming a minimum of mathematical preparation, Basic Category Theory for Computer Scientists provides a straightforward presentation of the basic constructions and terminology of category theory, including limits, functors, natural transformations, adjoints, and cartesian closed categories. Four case studies illustrate applications of category theory to programming language design, semantics, and the solution of recursive domain equations. A brief literature survey offers suggestions for further study in more advanced texts.
Contents
Tutorial • Applications • Further Reading
Category theory is a branch of pure mathematics that is becoming an increasingly important tool in theoretical computer science, especially in programming language semantics, domain theory, and concurrency, where it is already a standard language of discourse. Assuming a minimum of mathematical preparation, Basic Category Theory for Computer Scientists provides a straightforward presentation of the basic constructions and terminology of category theory, including limits, functors, natural transformations, adjoints, and cartesian closed categories. Four case studies illustrate applications of category theory to programming language design, semantics, and the solution of recursive domain equations. A brief literature survey offers suggestions for further study in more advanced texts.
Contents
Tutorial • Applications • Further Reading

Basic Category Theory for Computer Scientists
116
Basic Category Theory for Computer Scientists
116Related collections and offers
Product Details
ISBN-13: | 9780262326452 |
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Publisher: | MIT Press |
Publication date: | 08/07/1991 |
Series: | Foundations of Computing |
Sold by: | Penguin Random House Publisher Services |
Format: | eBook |
Pages: | 116 |
File size: | 2 MB |