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Elementary Standard Ml
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Book Synopsis Elementary Standard ML by : G Michaelson
Download or read book Elementary Standard ML written by G Michaelson and published by CRC Press. This book was released on 2018-10-08 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is concerned with programming in the language Standard ML (SML), that is using SML to make precise models for computer animation. It draws on the distinction between programming in the small and in the large, plumping exclusively for the former.
Book Synopsis Elementary Standard ML by : Greg Michaelson
Download or read book Elementary Standard ML written by Greg Michaelson and published by . This book was released on 1995 with total page 297 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis The Standard ML Basis Library by : Emden R. Gansner
Download or read book The Standard ML Basis Library written by Emden R. Gansner and published by . This book was released on 2004 with total page 469 pages. Available in PDF, EPUB and Kindle. Book excerpt: Annotation SML is an influential programming language that represents many state-of-the-art aspects of language design in a form usable for everyday programming. The language is in use worldwide, with applications ranging from network communication to theorem proving. The definition for SML's standard library, this work concisely describes the types and functions defined in the library and discusses in depth the library's design and use. This manual will be an indispensable reference for students, professional programmers, and language designers.
Book Synopsis The Definition of Standard ML by : Robin Milner
Download or read book The Definition of Standard ML written by Robin Milner and published by Mit Press. This book was released on 1990 with total page 101 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the official, formal definition of the programming language ML including the rules for grammar and static and dynamic semantics. ML is the most well-developed and prominent of a new group of functional programming languages. On the cutting edge of theoretical computer science, ML embodies the ideas of static typing and polymorphism and has also contributed a number of novel ideas to the design of programming languages. Contents: Syntax of the Core. Syntax of Modules. Static Semantics for the Core. Static Semantics for Modules. Dynamic Semantics for Modules. Programs. Appendixes: Derived Forms. Full Grammar. The Initial Static Basis. The Initial Dynamic Basis. The Development of ML.
Book Synopsis Functional Programming Using Standard ML by : Åke Wikström
Download or read book Functional Programming Using Standard ML written by Åke Wikström and published by . This book was released on 1987 with total page 472 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Programming with Standard ML by : Colin Myers
Download or read book Programming with Standard ML written by Colin Myers and published by . This book was released on 1993 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: Software -- Programming Languages.
Book Synopsis Elements of ML Programming by : Jeffrey D. Ullman
Download or read book Elements of ML Programming written by Jeffrey D. Ullman and published by . This book was released on 1994 with total page 346 pages. Available in PDF, EPUB and Kindle. Book excerpt: Hybrid Logic and its Proof-Theory demonstrates that hybrid-logical proof-theory remedies the lack of uniformity in ordinary modal-logical proof systems. Various versions and proof systems for hybrid logic are considered, providing a detailed overview of the topic.
Book Synopsis ML for the Working Programmer by : Lawrence C. Paulson
Download or read book ML for the Working Programmer written by Lawrence C. Paulson and published by . This book was released on 1992 with total page 429 pages. Available in PDF, EPUB and Kindle. Book excerpt: This new edition of a successful text treats modules in more depth, and covers the revision of ML language.
Book Synopsis A Critical Analysis of Standard ML. by : Universitetet i Oslo. Institute for Informatics
Download or read book A Critical Analysis of Standard ML. written by Universitetet i Oslo. Institute for Informatics and published by . This book was released on 1994 with total page 27 pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstract: "Standard ML (SML) is a strongly typed, polymorphic functional programming language. The language has been influential in the design of type systems and programming languages in general. Several professional implementations of the language are available, as well as introductory books. The language is general purpose, supporting both applicative and imperative programming, and is yet reasonably simple. This makes SML interesting from an educational point of view. This paper is a critical analysis of SML. The concepts discussed are concrete data types and pattern matching, polymorphism and higher order functions, imperative programming, and type inference. It is an attempt to clarify the problems students of functional programming will meet, as well as the insights they might gain. A short discussion of functional programming in higher education is included."
Book Synopsis The Standard ML Basis Library by : Emden R. Gansner
Download or read book The Standard ML Basis Library written by Emden R. Gansner and published by . This book was released on 2004 with total page 469 pages. Available in PDF, EPUB and Kindle. Book excerpt: Annotation SML is an influential programming language that represents many state-of-the-art aspects of language design in a form usable for everyday programming. The language is in use worldwide, with applications ranging from network communication to theorem proving. The definition for SML's standard library, this work concisely describes the types and functions defined in the library and discusses in depth the library's design and use. This manual will be an indispensable reference for students, professional programmers, and language designers.
Book Synopsis Mathematics for Machine Learning by : Marc Peter Deisenroth
Download or read book Mathematics for Machine Learning written by Marc Peter Deisenroth and published by Cambridge University Press. This book was released on 2020-04-23 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics. These topics are traditionally taught in disparate courses, making it hard for data science or computer science students, or professionals, to efficiently learn the mathematics. This self-contained textbook bridges the gap between mathematical and machine learning texts, introducing the mathematical concepts with a minimum of prerequisites. It uses these concepts to derive four central machine learning methods: linear regression, principal component analysis, Gaussian mixture models and support vector machines. For students and others with a mathematical background, these derivations provide a starting point to machine learning texts. For those learning the mathematics for the first time, the methods help build intuition and practical experience with applying mathematical concepts. Every chapter includes worked examples and exercises to test understanding. Programming tutorials are offered on the book's web site.
Book Synopsis The Standard ML Basis Library by : Emden R. Gansner
Download or read book The Standard ML Basis Library written by Emden R. Gansner and published by Cambridge University Press. This book was released on 2004-04-05 with total page 486 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 system programming. Major features of the library include I/O, a large collection of primitive types, support for internationalization, and a portable operating system interface. This manual will be an indispensable reference for students, professional programmers, and language designers.
Book Synopsis Lectures on Concurrency and Petri Nets by : Jörg Desel
Download or read book Lectures on Concurrency and Petri Nets written by Jörg Desel and published by Springer Science & Business Media. This book was released on 2004-06-14 with total page 857 pages. Available in PDF, EPUB and Kindle. Book excerpt: This tutorial volume originates from the 4th Advanced Course on Petri Nets, ACPN 2003, held in Eichstätt, Germany in September 2003. In addition to lectures given at ACPN 2003, additional chapters have been commissioned to give a well-balanced presentation of the state of the art in the area. This book will be useful as both a reference for those working in the area as well as a study book for the reader who is interested in an up-to-date overview of research and development in concurrent and distributed systems; of course, readers specifically interested in theoretical or applicational aspects of Petri nets will appreciate the book as well.
Book Synopsis Theories of Programming Languages by : John C. Reynolds
Download or read book Theories of Programming Languages written by John C. Reynolds and published by Cambridge University Press. This book was released on 1998-10-13 with total page 514 pages. Available in PDF, EPUB and Kindle. Book excerpt: First published in 1998, this textbook is a broad but rigourous survey of the theoretical basis for the design, definition and implementation of programming languages and of systems for specifying and proving programme behaviour. Both imperative and functional programming are covered, as well as the ways of integrating these aspects into more general languages. Recognising a unity of technique beneath the diversity of research in programming languages, the author presents an integrated treatment of the basic principles of the subject. He identifies the relatively small number of concepts, such as compositional semantics, binding structure, domains, transition systems and inference rules, that serve as the foundation of the field. Assuming only knowledge of elementary programming and mathematics, this text is perfect for advanced undergraduate and beginning graduate courses in programming language theory and also will appeal to researchers and professionals in designing or implementing computer languages.
Book Synopsis Programming in Standard ML by : Robert Harper
Download or read book Programming in Standard ML written by Robert Harper and published by . This book was released on 2011 with total page 281 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Functional Programming Languages in Education by : Pieter Hartel
Download or read book Functional Programming Languages in Education written by Pieter Hartel and published by Springer. This book was released on 1995-11-23 with total page 317 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the First International Symposium on Functional Programming Languages in Education, FPLE '95, held in Nijmegen, The Netherlands in December 1995. The 17 revised full papers included represent the current state-of-the-art in using functional languages in computer science education. Most papers report teaching experience in some detail, however, the emphasis is generally on technical issues. Functional languages are increasingly used for teaching in a number of important areas such as algorithms, data structures, compiler construction, computer architecture, computer graphics, mathematics, problem solving and the semantics of programming languages.
Book Synopsis The Elements of Statistical Learning by : Trevor Hastie
Download or read book The Elements of Statistical Learning written by Trevor Hastie and published by Springer Science & Business Media. This book was released on 2013-11-11 with total page 545 pages. Available in PDF, EPUB and Kindle. Book excerpt: During the past decade there has been an explosion in computation and information technology. With it have come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. The challenge of understanding these data has led to the development of new tools in the field of statistics, and spawned new areas such as data mining, machine learning, and bioinformatics. Many of these tools have common underpinnings but are often expressed with different terminology. This book describes the important ideas in these areas in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of color graphics. It should be a valuable resource for statisticians and anyone interested in data mining in science or industry. The book’s coverage is broad, from supervised learning (prediction) to unsupervised learning. The many topics include neural networks, support vector machines, classification trees and boosting---the first comprehensive treatment of this topic in any book. This major new edition features many topics not covered in the original, including graphical models, random forests, ensemble methods, least angle regression & path algorithms for the lasso, non-negative matrix factorization, and spectral clustering. There is also a chapter on methods for “wide” data (p bigger than n), including multiple testing and false discovery rates. Trevor Hastie, Robert Tibshirani, and Jerome Friedman are professors of statistics at Stanford University. They are prominent researchers in this area: Hastie and Tibshirani developed generalized additive models and wrote a popular book of that title. Hastie co-developed much of the statistical modeling software and environment in R/S-PLUS and invented principal curves and surfaces. Tibshirani proposed the lasso and is co-author of the very successful An Introduction to the Bootstrap. Friedman is the co-inventor of many data-mining tools including CART, MARS, projection pursuit and gradient boosting.
