The Standard ML Basis Library

doi:10.1017/CBO9780511546846

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Edited by Emden R. Gansner, AT&T Bell Laboratories, New Jersey, John H. Reppy, University of Chicago

Publisher:: Cambridge University Press
Online publication date:: August 2012
Print publication year:: 2004
Online ISBN:: 9780511546846
DOI:: https://doi.org/10.1017/CBO9780511546846

Subjects:: Computer Science, Programming Languages and Applied Logic

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The book provides a description of the Standard ML (SML) Basis Library, the standard library for the SML language. For programmers using SML, it provides a complete description of the modules, types and functions composing the library, which is supported by all conforming implementations of the language. The book serves as a programmer's reference, providing manual pages with concise descriptions. In addition, it presents the principles and rationales used in designing the library, and relates these to idioms and examples for using the library. A particular emphasis of the library is to encourage the use of SML in serious system programming. Major features of the library include I/O, a large collection of primitive types, support for internationalization, and a portable operating system interface. This manual will be an indispensable reference for students, professional programmers, and language designers.

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The Standard ML Basis Library

This Book has been cited by the following publications. This list is generated based on data provided by Crossref.

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Contents

Frontmatter
pp i-iv

Contents
pp v-x

Foreword by Robin Milner
pp xi-xii

Preface
pp xiii-xvi

1 - Introduction
pp 1-10

2 - Library modules
pp 11-18

3 - Top-level environment
pp 19-24

4 - General usages
pp 25-32

5 - Text
pp 33-42

6 - Numerics
pp 43-50

7 - Sequential data
pp 51-60

8 - Input/Output
pp 61-80

9 - Systems programming
pp 81-98

10 - Network programming with sockets
pp 99-110

11 - Manual pages
pp 111-426

Bibliography
pp 427-428

General index
pp 429-434

SML identifier index
pp 435-464

Raised exception index
pp 465-469

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The Standard ML Basis Library

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