1. Elements Of ML Programming, Second Edition Elements of ml programming, 2nd Edition (ML97). The second edition (basedon ML97) of Elements of ml programming appeared at the end of 1997. http://www-db.stanford.edu/~ullman/emlp.html

Elements of ML Programming, 2nd Edition (ML97) The second edition (based on ML97) of Elements of ML Programming appeared at the end of 1997. Here is The table of contents Special thanks to referee Matthias Blume and to Luca Cardelli, whose cover design has been carried over from the first edition to the second. Resources Errata sheet . Our list is growing. Send a correction to ullman @ cs.stanford.edu and see yourself acknowledged on our Web pages. Solutions to starred exercises Programs from the text Don't Click here unless you want to skip the pleasure of decoding the puns in Section 7.1 by yourself. PS: I must admit that when I went to write the second edition from the first, one of them stumped me for a day. Notes and Exams for CS109. Some of this material is ML-based. Web pages for the old edition SML/NJ home page A version of ML for the PC from Keldysh Institute of Applied Mathematics in Moscow is available. It also links to versions for the MAC and Linux. Jeffrey D. Ullman ullman @ cs.stanford.edu 650-725-4802 (office) 650-494-8016 (home) 650-725-2588 (FAX)

2. Jeffrey D. Ullman --- Books For information and backup material, click here . Elements of ml programming.The new edition, covering ML97, is available from PrenticeHall. http://www-db.stanford.edu/~ullman/ullman-books.html

Jeff Ullman: Book Information Contents Introduction to Automata and Language Theory Database Systems: The Complete Book A First Course in Database Systems Database System Implementation ... Future Book on Data Mining Introduction to Automata and Language Theory The venerable Hopcroft-Ullman book from 1979 was revised in 2001 with the help of Rajeev Motwani. It has been made both simpler and more relevant to the programming challenges of today, such as Web search and ecommerce. For the book's Web page, click here: Database Systems: The Complete Book This is a 2002 volume that combines the new A First Course in Database Systems with Database System Implementation . For information and backup material, click here: A First Course in Database Systems The first edition (1997) has been followed by a second edition (2002). This book covers database design and implementation. Also note: This book is now the first half of Database Systems: The Complete Book , which you should choose instead if your interests go beyond database applications and include implementation of a DBMS. For information and backup material for either edition, click here:

3. Programming In Standard ML Programming in Standard ML Copyright © 1997, 1998, 1999, 2000. All Rights Reserved. This version of the notes is obsolete! The current version is available here. http://www.cs.cmu.edu/People/rwh/introsml

Programming in Standard ML Robert Harper School of Computer Science Carnegie Mellon University Fall, 2000 This version of the notes is obsolete! The current version is available here These notes are intended as a brief introduction to Standard ML (1997 dialect) for the experienced programmer. They began as lecture notes for 15-212: Fundamental Principles of Computer Science II , the second semester of the introductory sequence in the undergraduate computer science curriculum at Carnegie Mellon University. They have subsequently been used in several other courses at Carnegie Mellon, and at a number of universities around the world. These notes are intended to supersede my Introduction to Standard ML , which has been widely circulated over the last ten years. The Definition of Standard ML (Revised) by Robin Milner, Mads Tofte, Robert Harper, and David MacQueen (MIT Press, 1997) constitutes the official definition of the language. It is supplemented by the Standard ML Basis Library , which defines a common basis of types that are shared by all implementations of Standard ML. There are several implementations of Standard ML available for a variety of hardware and software platforms.

4. Programming In Standard ML Programming in Standard ML. Robert Harper. School of Computer Science. CarnegieMellon University. Fall, 2000. Copyright © 1997, 1998, 1999, 2000. http://www.cs.cmu.edu/afs/cs/usr/rwh/public/www/introsml/

Programming in Standard ML Robert Harper School of Computer Science Carnegie Mellon University Fall, 2000 This version of the notes is obsolete! The current version is available here These notes are intended as a brief introduction to Standard ML (1997 dialect) for the experienced programmer. They began as lecture notes for 15-212: Fundamental Principles of Computer Science II , the second semester of the introductory sequence in the undergraduate computer science curriculum at Carnegie Mellon University. They have subsequently been used in several other courses at Carnegie Mellon, and at a number of universities around the world. These notes are intended to supersede my Introduction to Standard ML , which has been widely circulated over the last ten years. The Definition of Standard ML (Revised) by Robin Milner, Mads Tofte, Robert Harper, and David MacQueen (MIT Press, 1997) constitutes the official definition of the language. It is supplemented by the Standard ML Basis Library , which defines a common basis of types that are shared by all implementations of Standard ML. There are several implementations of Standard ML available for a variety of hardware and software platforms.

5. On-line Information About Standard ML Jeffrey D. Ullman. Elements of ml programming., 2nd Edition. PrenticeHall,1997. Both books cover Revised Standard ML. Reference Material. http://www.cs.cmu.edu/afs/cs.cmu.edu/project/fox/mosaic/sml.html

Information about Standard ML Introductory Material Bob Harper has substantially revised his Introduction to Standard ML and formatted it for the web. (The original postscript document is still available.) Peter Lee's guide to Standard ML at Carnegie Mellon . This includes general tips on using the SML/NJ and ML Works compilers, along with some CMU-specific information. Andrew Cumming's Gentle Introduction to ML mirrored in Canada Mads Tofte's Four Lectures on Standard ML Part 1 part 2 , and part 3 Examples from the paper are available online.) Several textbooks on SML programming are available. We recommend the following: L. C. Paulson. ML for the Working Programmer , 2nd Edition. Cambridge University Press, 1996. Jeffrey D. Ullman. Elements of ML Programming. , 2nd Edition. Prentice-Hall, 1997. Both books cover Revised Standard ML. Reference Material The comp.lang.ml Frequently Asked Questions document. Brief description of the changes made in Revised Standard ML Documentation for the Standard ML Basis Library European mirror Andrew W. Appel's papers from Princeton A list of projects implemented using ML.

6. ML Programming Language - Wikipedia ml programming language. ML (standing for MetaLanguage ) is a functional programminglanguage developed in the early 1980s at Edinburgh University. http://www.wikipedia.org/wiki/ML_programming_language

Main Page Recent changes Edit this page Older versions Special pages Set my user preferences My watchlist Recently updated pages Upload image files Image list Registered users Site statistics Random article Orphaned articles Orphaned images Popular articles Most wanted articles Short articles Long articles Newly created articles Interlanguage links All pages by title Blocked IP addresses Maintenance page External book sources Printable version Talk Log in Help ML programming language From Wikipedia, the free encyclopedia. ML (standing for "Meta-Language") is a functional programming language developed in the early 1980s at Edinburgh University. Today there are several languages in the ML family; the most popular are SML (Standard ML) and Ocaml Edit this page Discuss this page Older versions ... Recent changes It was last modified 03:28 Jan 9, 2003. All text is available under the terms of the GNU Free Documentation License Main Page Recent changes Random page ... Bug reports

7. Elements Of ML Programming (John's Book Pages) A short review of Elements of ml programming by Jeffrey D. Ullman Elements of ml programming is not superb in this respect but it is good enough to get the reader through some basic test http://books.regehr.org/reviews/elementsofmlprogramming.html

Top Titles Authors Subjects ... FAQ Elements of ML Programming by Jeffrey D. Ullman isbn: 0137903871 subject: Nonfiction Computing finished: 8/2/2001 According to a web page at Bell Labs: Standard ML is a safe, modular, strict, functional, polymorphic programming language with compile-time type checking and type inference, garbage collection, exception handling, immutable data types and updatable references, abstract data types, and parametric modules. That's a mouthful, but the upshot is that ML has some of the good features of Pascal-like programming languages such as static typing, some of the good features of Lisp-like languages such as garbage collection and higher-order functions, and some innovative features of its own such as pattern matching and type inferencing. The resulting language is powerful and elegant, but fairly different for those of us used to imperative languages. There's a period of time during the process of learning a new programming language where one writes a couple of small- to medium-sized programs and invariably tries to use an introductory book as a reference manual this is frustrating since it's rare for even a good introductory book to serve as an adequate reference manual. Elements of ML Programming is not superb in this respect but it is good enough to get the reader through some basic test programs, thus minimizing the pain of this already frustrating time and delaying the need to buy a language reference manual.

8. Standard ML NEXT · UP · PREVIOUS · CONTENTS · INDEX Standard ML. The Standardml programming language is defined formally. This definition http://www.dcs.ed.ac.uk/home/stg/NOTES/node4.html

NEXT UP PREVIOUS CONTENTS ... INDEX Standard ML The Standard ML programming language is defined formally. This definition is presented as a book of rules [ ] expressed in so-called Natural Semantics, a powerful but concise formalism which records the essential essence of the language while simultaneously abstracting away from the uninformative detail which would inevitably be needed in a programming language implementation. As a comparison, the published model implementation of Standard Pascal [ ] is five times longer than the definition of Standard ML. This is a shocking fact because Standard ML is a much more sophisticated language than Pascal. In these notes we follow the 1997 revision of the language definition. in [ ] suggests that one of the advantages of functional programming is the ability to glue programs together in many different ways. For this, we require the ability to manipulate functions as data. We will pass them as arguments to other functions and even return them as the results of functions. In order for such a powerful mechanism to be exploited to the fullest, the language must provide a means for functions to be defined in a general, re-usable way which allows values of different types to be passed to the same function. As we shall see, Standard ML provides such a feature without compromising the security of the type system of the language. The mechanism by which applicative programs are evaluated is then discussed. This leads into the consideration of alternative evaluation strategies one of which is so-called lazy evaluation. This strategy has a profound effect on the style of programming which must be deployed.

9. Introduction To The ML Programming Language Introduction to the ml programming language. Readings for this topicUllman chapters 16 but skipping 3.5, 3.6, chapter 4 on I/O http://www.cs.jhu.edu/~scott/cw/lectures/sml-intro.html

Introduction to the ML programming language Readings for this topic: Ullman chapters 1-6 but skipping 3.5, 3.6, chapter 4 on I/O, and section 5.2 on exceptions. Background on Standard ML Standard ML is A language developed by the programming languages research community (Robin Milner; Dave MacQueen;...) Is an "extended functional" language: has imperative features built on a functional core. ( pure functional = no assignment or other mutation operator in language) Has some novel features: type inference, pattern matching, parametric polymorphism, functors (higher-order modules), ... Particularly useful for metaprogramming (writing programs that manipulate programs, e.g. for compilers, interpreters etc). That was original purpose, "ML" = "Metalanguage". Current compilers run too slowly for the language to be feasible for widespread use. It is interactive and environment-based, like Lisp/Scheme/Smalltalk and unlike C/Pascal/C++/Java. Uses implicit storage management like Java/Scheme/Smalltalk: no pointers or explicit memory allocation or de-allocation; garbage collection to automatically free up unwanted space.

10. The ML Programming Langauge: More Advanced Features The ml programming langauge more advanced features. A few featuresof ML were skipped in the last pass. Now we fill out the picture. http://www.cs.jhu.edu/~scott/cw/lectures/sml-advanced.html

The ML programming langauge: more advanced features A few features of ML were skipped in the last pass. Now we fill out the picture. Readings: Chapter 8 and Sections 5.2, 7.2, and 7.3-7.5. Modules This issue is bigger than just the ML language. Modules are large levels of program abstraction: functional units or libraries. Examples: Stack data structure module (small) UNIX file I/O module (medium size) Windowing system interface module (huge, probably a module of modules) Why? Without modules, you have code soup and CHAOS . The need for modules are only appreciated when a large program is written, small programs are happy being soup. Features of modules Encapsulates a group of functions and types under one name May hide some operations as being "internal", e.g. low-level X-window socket operations. Allows for separate compilation One module may use/import/take as a parameter another module (the print module takes a queue module as parameter). The C/C++ module system (separate files of code, .h files, extern declarations) is extremely primitive: The only name encapsulation is by file name; the functions within a file are not named w.r.t. their module (Java also uses a file-based system but fixes this).

11. SML/NJ Literature ISBN (paperback) 0521-56543-X. Elements of ml programming, ML97 Edition.Author Jeffrey D. Ullman. Concurrent Programming in ML. Authors John Reppy. http://cm.bell-labs.com/cm/cs/what/smlnj/doc/literature.html

SML/NJ Literature Summary Tutorials Books Documentation Other Resources Tutorials Introduction to Standard ML Author: Robert Harper, CMU Postscript (374KB) HTML (preliminary version of a new edition!) Notes on Programming in SML/NJ Author: Riccardo Pucella, Cornell Postscript (930KB) PDF (640KB) Using the SML/NJ System Author: Peter Lee, CMU HTML Four Lectures on Standard ML Author: Mads Tofte, DIKU Overview Lectures 1-3 Lecture 4 Code examples in lectures Essentials of Standard ML Modules Author: Mads Tofte, DIKU Lecture Notes (Postscript) The SML code (uuencoded compressed tar) Tips for Computer Scientists On Standard ML Author: Mads Tofte, DIKU Postscript (165KB) Programming in Standard ML '97: An On-line Tutorial Author: Stephen Gilmore , Edinburgh University Edinburgh LFCS Tech Report (ECS-LFCS-97-364), various formats Supplementary information HTML version at Harlequin Postscript version at Harlequin A Gentle Introduction to ML Author: Andrew Cumming, Napier University Contents (html) Canadian mirror site Introduction to Functional Programming Author: Michael Gordon, Cambridge University

12. Support For Standard ML Programming At K-State Support for Standard ml programming at KState. Visit the Standard MLof New Jersey WWW site for information about the SML/NJ compiler http://www.cis.ksu.edu/~allen/sml/sml.html

Support for Standard ML Programming at K-State Visit the Standard ML of New Jersey WWW site for information about the SML/NJ compiler, including instructions for installing the compiler on your personal computer. The Standard ML Basis Library is included as part of the SML/NJ distribution and contains many useful functions. Additional functions are provided by the SML/NJ Library A customization of SML/NJ for use at K-State Emacs support for SML Allen Stoughton ... allen@cis.ksu.edu

13. Bookpool: Elements Of ML Programming (2nd Edition) Feb 6, 2003 EST. Elements of ml programming (2nd Edition), Jeffrey Makesml programming interesting for the uninitiated. Demonstrates http://www.bookpool.com/.x/ij99rw4ts8/sm/0137903871

0 items Search Subjects New Books ... LogOut Search: Browse: Business and Culture Certification Computer Applications Databases Distributed Computing Enterprise Computing Graphics and Multimedia Hardware Networking / Comm Operating Platforms Other Topics Programming Programming Languages WWW and Internet Apr 9, 2003 EDT Elements of ML Programming (2nd Edition) Jeffrey D. Ullman Prentice Hall, Paperback, Ml97 edition, Published December 1997, 340 pages, elem_mlprg_2e, ISBN 0137903871 List Price: $46.00 Our Price: You Save: $5.05 (11% Off) Availability: Out-Of-Stock Be the First to Write a Review and tell the world about this title! Books on similar topics, in bestseller order: Programming Languages Other Programming Languages Books from the same publisher, in bestseller order: Prentice Hall Publisher Summary of Title Written by a well-known computer science education and researcher. No previous knowledge of ML or functional programming is assumed. This is the first book that offers BOTH a highly accessible, step-by-step introductory tutorial on ML programming and a complete reference to, and explanation of, advanced features. The author uses a wide variety of digestible program examples to bring the reader along at a reasonable pace. More sophisticated programs and advanced concept topics balance out a book that is usable in a number of courses and settings for either self-study or class discussion. Features Summarizes the entire ML 97 language including the latest SML/NJ features.

14. Nuprl Basics - The ML Programming Language Of Nuprl NuprlPrimitives Sections NuprlLIB Search Doc The ml programming languageof Nuprl. Executable code for Tactics (as well as a lot http://www.cs.cornell.edu/Info/People/sfa/Nuprl/NuprlPrimitives/Xwhatis_ml_doc.h

NuprlPrimitives Sections NuprlLIB Search ... Doc The ML programming language of Nuprl Executable code for Tactics (as well as a lot of editor code) is written in a dialect of ML described in the ML manual (postscript). It is older than Standard ML. The term "ML" connotes the fact that it was a "meta-language" of computation for an earlier tactic prover at Edinburgh, namely LCF, as it is now for Nuprl. Some new primitive types, including "term" and "proof", were added. Feb 2001 sfa NuprlPrimitives Sections ... Doc

15. The ML Programming Language September 22, 1999, Strong Typing, Slide 14. The ml programming Language. Stronglytyped. Research language. Originally developed for theorem proving systems. http://perl.plover.com/yak/typing/samples/slide014.html

September 22, 1999 Strong Typing Slide #14 The ML Programming Language Strongly typed Research language Originally developed for theorem proving systems Solves the type problems of C and Pascal Next

16. COMPUTE!'s Gazette (Nov 1989) - ML Programming Machine Language Programming Random Thought. memory by BASIC; two bytes of the randomseed are randomized; and then the program calls upon the ML portion to http://www.chisp.net/~dminer/c64/gazette/8911/070-ml.html

Machine Language Programming Random Thought Jim Butterfield This month, we continue our discussion of random numbers in machine language. In particular, we'll look at a method for scaling a random number to a given range of values. Scaling Machine language random-number generators usually produce a random byte-that is, a random value from to 255. But this is seldom exactly what's needed; most of the time, you want a bigger or smaller range of numbers. How do you get this? Larger random numbers are easy. Take two random bytes and combine them into a two-byte random value; the resulting range is 0-65535. A smaller random range is trickier. Some texts suggest that, to obtain a smaller random-number range, you should divide the big random number by the range; the remainder is the random number you want. Thus, if you wanted a number in the range 0-99, you would divide the random byte by 100; the remainder would certainly be in the range 0-99. This sounds good at first, even though division is a relatively slow operation. However, upon closer inspection, you'll find that you've introduced a bias into the random-number generation. Let's follow the above example of obtaining a random number from to 99. (If you needed a random number between 1 and 100, you would add 1 to the result.) Starting with a random number in the range 0-255, dividing by 100, and taking the remainder does a poor job. You would have three chances of getting as your remainder: when the original random byte is 0, 100, or 200. But you'd have only two chances of getting 99 as your remainder: from original byte values of 99 or 199. As you can see, the probabilities are skewed.

17. Help-Site: ML Programming Computer Help ml programming. Search. http://help-site.com/c.m/prog/lang/ml/

[Main Index] -> [Programming] -> [Programming Languages] [Directory] [Forums] ML Programming Search options ML for the Working Programmer Other ML Programming books to buy at Amazon. Documents A Gentle Introduction to ML [13 Dec 2002] If you can't find the help you are looking for on the main site you can now visit the new Help-Site Forums to ask for help. Save 10% on high-quality Crucial RAM. Order online at Crucial's factory-direct Web site. Crucial Technology, The Memory Experts. [New Links] [Add Url] [About]

18. Book: Elements Of ML Programming CSC, Elements of ml programming. Title Elements of ml programming EditionISBN 0131848542 Author Jeffrey D. Ullman. Published Englewood http://www.csclub.uwaterloo.ca/office/books/0131848542.html

Elements of ML programming Office Staff Books Title: Elements of ML programming Edition: ISBN: Author: Jeffrey D. Ullman. Published: Englewood Cliffs, N.J. : Prentice Hall, c1994. Home About Events Docs ... Stats This page was generated on 2003-04-09 at 03:00:09. We recently switched to our new website. The old website (as of 2002-08-10) is still available. Webmaster

19. Standard ML Programming For CPN Tools Users Standard ml programming for CPN Tools Users. Abstract. The slide setis based on Ullman's book on Standard ml programming JD Ullman. http://www.daimi.au.dk/CPnets/slides/l_m_kristensen12.html

Standard ML Programming for CPN Tools Users Abstract This set of slides constitues a short course on funtional programming and Standard ML (SML) aimed at CPN Tools users. Standard ML is the language used writing for colour set definitions and inscriptions in CPN Tools. The subset of the SML language covered should suffice for most users of CPN Tools. The slide set is based on Ullman's book on Standard ML programming: J. D. Ullman. Elements of ML Programming ML97 Edition. Prentice-Hall International, Inc., 1998. Format etc The slide set contains 88 pages divided into two parts. Each of the two part takes approximately 3 hours to present. Part I covers the basic constructs of the Standard ML language. Part II covers a number of more advanced constructs of the SML language. Developed and Maintained by Lars Michael Kristensen, University of South Australia (lars.kristensen@unisa.edu.au) Slides - Part 1 - 242 kb (Gzip'ed PostScript) Slides - Part 2 - 47 kb (Gzip'ed PostScript) Last modified: Wed Feb 13 16:28:13 2002 CP-nets Webmaster

20. Standard ML CPN ML An Extension of Standard ML. Standard ML Bibliography. JeffreyD. Ullman, Elements of ml programming, PrenticeHall, 1993 (Oct. http://www.daimi.au.dk/designCPN/sml/

Standard ML Design/CPN use the CPN ML language for declarations and net inscriptions. This language is based on a well-known functional programming language, called Standard ML (SML), developed at Edinburgh University. Why does Design/CPN use Standard ML? Was Standard ML a Good Choice? CPN ML: An Extension of Standard ML Standard ML Bibliography Jeffrey D. Ullman Elements of ML Programming , Prentice-Hall, 1993 (Oct. 15), ISBN: 0-13-184854-2 Lawrence C Paulson ML for the Working Programmer , 2nd Edition, Cambridge University Press , July 1996, ISBN 052156543X (paperback), ISBN 0521570506 (hardback) Standard ML WWW Pages A Gentle Introduction to ML (good introduction) Introduction to Standard ML The Standard ML Basis Library and Danish mirror Standard ML of New Jersey (SML/NJ is used by Design/CPN) SML'97 Conversion guide Information about Standard ML (introduction, four lectures, FAQ, e-mail list, publications, bibliographies) Syntax of Standard ML FAQ Yahoo (link collection) CPN ML Manuals The Design/CPN On-line Manuals contain a detailed CPN ML Reference Manual (more than 100 pages) and a short Overview of CPN ML Syntax (15 pages). For more details see:

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