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Purely functional data structures

Autor: Chris Okasaki
Editora: Cambridge, U.K. ; New York : Cambridge University Press, 1998.
Edição/Formato   e-book : Documento : InglêsVer todas as edições e formatos
Base de Dados:WorldCat
Resumo:
"Most books on data structures assume an imperative language like C or C++. However, data structures for these languages do not always translate well to functional languages such as Standard ML, Haskell, or Scheme. This book describes data structures from the point of view of functional languages, with examples, and presents design techniques so that programmers can develop their own functional data structures. It  Ler mais...
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Detalhes

Tipo de Material: Documento, Recurso Internet
Tipo de Documento: Recurso Internet, Arquivo de Computador
Todos os Autores / Contribuintes: Chris Okasaki
ISBN: 9781139811743 1139811746 9780511530104 0511530102
Número OCLC: 851148998
Notas: Titre de l'écran-titre (visionné le 10 avril 2013).
Descrição: 1 online resource (1 texte électronique (x, 220 p.)) ill., fichiers HTML et PDF.
Conteúdos: Introduction --
Persistence --
Some familiar data structures in a functional setting --
Lazy evaluation --
Fundamentals of amortization --
Amortization and persistence via lazy evaluation --
Eliminating amortization --
Lazy rebuilding --
Numerical representations --
Data-structural bootstrapping --
Implicit recursive slowdown --
Appendix : A Haskell source code.
Responsabilidade: Chris Okasaki.

Resumo:

"Most books on data structures assume an imperative language like C or C++. However, data structures for these languages do not always translate well to functional languages such as Standard ML, Haskell, or Scheme. This book describes data structures from the point of view of functional languages, with examples, and presents design techniques so that programmers can develop their own functional data structures. It includes both classical data structures, such as red-black trees and binomial queues, and a host of new data structures developed exclusively for functional languages. All source code is given in Standard ML and Haskell, and most of the programs can easily be adapted to other functional languages." "This handy reference for professional programmers working with functional languages can also be used as a tutorial or for self-study."--Couv.

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