by University of Edinburgh, Laboratory for Foundations in Computer Science in Edinburgh .
Written in English
|Series||LFCS report series -- ECS-LFCS-89-73|
|Contributions||University of Edinburgh. Laboratory for Foundations of Computer Science.|
|The Physical Object|
|Number of Pages||53|
μ ML’s (lambda (x 1 ⋯ x n) e) is equivalent to Standard ML’s (fn (x 1, , x n) => e). The parentheses are not always needed, but you would be wise to include them. μ ML’s (case e ([p 1 e 1] ⋯ [p n e n])) is equivalent to Standard ML’s (case e of p 1 => e 1 | ⋯ | p n => e n). Again, the parentheses are not always needed, but you would be wise to include them. In µML, tuples are ordinary value constructors of ordinary ab-stract data types (see below). But in Standard ML, they have special syntax: • Ullman, section (not section , which is an utter disaster, as noted below), plus (tuple types) • Tofte, sections 8, . Four Lectures on Standard ML Author: Mads Tofte, DIKU Overview; Lectures ; 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 KB. Also check the Four Lectures on Standard ML listed on the page. I am a confident programmer. If you are a confident programmer and if you are very familiar with functional languages, than you can get a good overview of the syntax at Learn X in Y minutes. The Four Lectures on Standard ML are a .
nition of Standard ML (Revised) is the formal deﬁnition of the language. It is supplemented by the Standard ML Basis Library, which deﬁnes a com-mon basis of types that are shared by all implementations of the language. Commentary on Standard ML discusses some of the decisions that went into the design of the ﬁrst version of the language. the book is not a handbook of machine learning practice. Instead, my goal is to give the reader su cient preparation to make the extensive literature on machine learning accessible. Students in my Stanford courses on machine learning have already made several useful suggestions, as have my colleague, Pat Langley, and my teaching. Jun 08, · Four lectures on Standard ML. tLFCS Report Series ECS-LFCS, Laboratory for Foundations of Computer Science, Department of Computer Science, Edinburgh University, Mayfield Rd., EH9 3JZ Edinburgh, U.K., March Cited by: 7. PERVASIVE Describes the declaration form pervasive, which is an extension to Standard ML. PML A basic introduction to the POPLOG ML subsystem. QUEUE Describes the structure Queue, which defines an implementation of queues. REALCONSTANTS Describes a set of real constants defined in the predeclared structure RealConstants.
Mar 11, · Fourth lecture on Standard ML. This feature is not available right now. Please try again later. 1 Overview of Standard ML (SML) SML is a procedural computer programming language with extremely strong support for higher-order functions and abstraction. It is often called a “functional” language, and it can be used that way, but SML is an imperative language with mutable storage and side effects. The Revision of Standard ML The De nition of Standard ML was published in Since then the im- plementation technology of the language has advanced enormously, and its users have multiplied. The language and its De nition have therefore incited close scrutiny, evaluation, much . Four Lectures on Standard ML. Abstract: The following notes give an overview of Standard ML with emphasis placed on the Modules part of the language. The notes are, to the best of my knowledge, faithful to ``The Definition of Standard ML, Version 2'', as regards syntax, semantics and terminology.