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The Standard ML Basis Library
Emden R. (A Gansner
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Description for The Standard ML Basis Library
paperback. Provides a complete description of the modules, types and functions composing the Standard ML Basis Library. Editor(s): Gansner, Emden R.; Reppy, John H. Num Pages: 484 pages, 37 tables. BIC Classification: UMB; UMX. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 251 x 175 x 22. Weight in Grams: 838.
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 ... Read more
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 ... Read more
Product Details
Publisher
Cambridge University Press
Format
Paperback
Publication date
2004
Condition
New
Weight
838g
Number of Pages
484
Place of Publication
Cambridge, United Kingdom
ISBN
9780521794787
SKU
V9780521794787
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-12
About Emden R. (A Gansner
Emden R. Gansner is Principal Technical Staff Member of AT&T Laboratories. Having taught at several prestigious universities, he is currently an adjunct Professor of Computer Science at Stevens Institute of Technology. He has published articles in numerous journals, such as J. Combinatorial Theory, Discrete Mathematics and SIAM J. Algorithms and Discrete Methods. He also jointly received a patent on a ... Read more
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