- Paperback: 383 pages
- Publisher: Prentice Hall; 2 edition (22 Dec 1997)
- Language English
- ISBN-10: 0137903871
- ISBN-13: 978-0137903870
- Product Dimensions: 23.5 x 17.9 x 1.6 cm
- Amazon Bestsellers Rank: 979,055 in Books (See Top 100 in Books)
- See Complete Table of Contents
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Product Description
Product 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.
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6 reviews
11 of 11 people found the following review helpful
Academic? Yes, but that's a good thing
18 Jan 2005
Format:Paperback
I appreciate the consistency of exposition, especially when explaining recursion of execution and recursive datatypes using basis and induction cases. It's a book for those who are interested in the crossover between CS theory and mathematics, but only introductory calculus is necessary (and that's only in one section). If you come from a procedural programming background, as I did, this book is an excellent introduction to the techniques of functional programming. I would recommend reading this in conjunction with ML for the Working Programmer by Paulson. If you are looking for a gentler introduction to functional languages, like LISP and its sister Scheme, try The Little Schemer by Friedman and Felleisen.
3 of 3 people found the following review helpful
Treasure Map to Understanding ML
1 Nov 2009
Format:Paperback
When tasked to quickly learn the basics of the ML programming language for class and be expected to program an Abstract Data Type, I was a little bit frantic. In the short time given to me to prep for said programing project, I raced around looking for sources that would improve my understanding of the language and one of the sources i found was this book that was also recommended by the professor.
This book, Elements of ML Programming, has its reader approach ML from the vantage point of either someone who has never programmed but has some understanding of Programming theory or someone who has programmed before but never touched a Functional Programming Language. In that respect it excels at explaining the unique features of the ML language and how best to use and write in it.
This book, Elements of ML Programming, has its reader approach ML from the vantage point of either someone who has never programmed but has some understanding of Programming theory or someone who has programmed before but never touched a Functional Programming Language. In that respect it excels at explaining the unique features of the ML language and how best to use and write in it.
7 of 9 people found the following review helpful
Well written and enjoyable.
23 Jan 1998
Format:Paperback
Although this is an introductory book, I also recommend it to advanced programmers. Concise and well written, it is a joy to read. Programmers who have little knowledge of modern functional languages will benefit immensely from this book. It is a great recreational read.
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