The Implementation of Functional Programming Languages 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024

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Simon L. Peyton Jones 作者

Prentice Hall

译者

1987-5 出版日期

500 页数

USD 61.00 价格

Hardcover

丛书系列

9780134533339 图书编码

The Implementation of Functional Programming Languages 在线电子书图书标签: 函数式编程编译原理计算机科学计算机语言函数式计算机 fp Haskell

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The Implementation of Functional Programming Languages 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

The Implementation of Functional Programming Languages 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024

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编译器相关书：数学和计算机之间的区分在于时间

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可直接看 https://book.douban.com/subject/2311346/

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主要讲述，Lambda演算，Miranda语言的翻译

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编译器相关书：数学和计算机之间的区分在于时间

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The Implementation of Functional Programming Languages 在线电子书著者简介

Simon Peyton Jones FRS (born 18 January 1958) is a British computer scientist who researches the implementation and applications of functional programming languages, particularly lazy functional programming. He is an honorary Professor of Computer Science at the University of Glasgow and co-supervises PhD students at the University of Cambridge.

The Implementation of Functional Programming Languages 在线电子书图书目录

The Implementation of Functional Programming Languages 在线电子书 pdf 下载 txt下载 epub 下载 mobi 在线电子书下载

The Implementation of Functional Programming Languages 在线电子书图书描述

This book is about implementations, not languages, it will make no attempt to extol the virtues of functional languages or the functional programming style. Instead this book will assume that the reader is familiar with functional programming; those without this familiarity may find it heavy going.

The first part describes how to translate a high-level functional language into an intermediate language, called the lambda calculus, including detailed coverage of pattern-matching and type-checking.

The second part begins with a simple implementation of the lambda calculus, based on graph reduction, and then develops a number of refinements and alternatives, such as supercombinators, full laziness and SK combinators.

Finally, the third part describes the G-machine, a sophisticated implementation of graph reduction, which provides a dramatic increase in performance over the implementations described earlier.

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