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Category Theory Using Haskell eBook

An Introduction With Moggi And Yoneda

by Shuichi Yukita
language: english
Publisher: Springer Nature Switzerland, December of 2024 ‧
238,49€
214,64€
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This unique book offers an introductory course on category theory, which became a working language in algebraic geometry and number theory in the 1950s and began to spread to logic and computer science soon after it was created.

Offering excellent use of helpful examples in Haskell, the work covers (among other things) concepts of functors, natural transformations, monads, adjoints, universality, category equivalence, and many others. The main goal is to understand the Yoneda lemma, which can be used to reverse-engineer the implementation of a function.  Later chapters offer more insights into computer science, including computation with output, nondeterministic computation, and continuation passing. 

Topics and features:

  • Contains rigorous mathematical arguments to support the theory
  • Provides numerous Haskell code-implementing examples
  • Engages with plentiful diagram chasing, with special emphasis on the design patterns for constructing a large diagram out of basic small pieces
  • Offers insights into category theory to quantum computing and the foundation of computing discipline
  • Serves as a preparatory course for monoidal categories and higher categories

The work will be useful to undergraduate students in computer science who have enough background in college mathematics such as linear algebra and basics in Haskell polymorphic functions.  Further, it will appeal to graduate students and researchers in computing disciplines who want to newly acquire serious knowledge of category theory.

Category Theory Using Haskell

An Introduction With Moggi And Yoneda

by Shuichi Yukita

Property Description
ISBN: 9783031685385
Publisher: Springer Nature Switzerland
Release Date: December of 2024
Language: English
Format: eBook
File Format and Compatibility:
Collection: Computer Science Foundations And Applied Logic
Categories: eBooks in English > Science > Mathematics
EAN: 9783031685385
Acessibilidade: Ver características de acessibilidade indicadas pelo editor

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