Elements of ML programming
Author(s)
Bibliographic Information
Elements of ML programming
Prentice Hall, 1998
ML97 ed
- : pbk
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Note
"An Alan R. Apt book."
Includes index
Description and Table of Contents
- Volume
-
: pbk ISBN 9780130803917
Description
For sophomore through graduate level courses covering an introduction to the fundamentals of ML programming or as a supplement for programming languages, functional programming, or compiler courses.
Written by renowned computer science educator and researcher Jeffrey Ullman, this text assumes no previous knowledge of ML or functional programming. This second edition has been heavily revised and updated using ML 97. This is the first book that offers BOTH a highly accessible, step-by-step introductory tutorial on ML programming and a complete explanation of advanced features. The author uses a wide variety of program examples to show how ML can be used in a variety of applications. More sophisticated programs and advanced concepts make this book usable in a number of courses for self-study or class discussion.
Table of Contents
1. A Perspective on ML and SML/NJ.
2. Getting Started in ML.
3. Defining Functions.
4. Input and Output.
5. More about Functions.
6. Defining Your Own Types.
7. More about ML Data Structures.
8. Encapsulation and ML Module System.
9. Summary of the ML Standard Basis.
Index.
- Volume
-
ISBN 9780137903870
Description
For sophomore through graduate level courses covering an introduction to the fundamentals of ML programming or as a supplement for programming languages, functional programming, or compiler courses. Written by renowned computer science educator and researcher Jeffrey Ullman, this text assumes no previous knowledge of ML or functional programming. This second edition has been heavily revised and updated using ML 97. This is the first book that offers BOTH a highly accessible, step-by-step introductory tutorial on ML programming and a complete explanation of advanced features. The author uses a wide variety of program examples to show how ML can be used in a variety of applications. More sophisticated programs and advanced concepts make this book usable in a number of courses for self-study or class discussion.
Table of Contents
1. A Perspective on ML and SML/NJ.
2. Getting Started in ML.
3. Defining Functions.
4. Input and Output.
5. More about Functions.
6. Defining Your Own Types.
7. More about ML Data Structures.
8. Encapsulation and ML Module System.
9. Summary of the ML Standard Basis.
Index.
by "Nielsen BookData"
