
Denotational Semantics: A Methodology for Language Development
by David Schmidt
Publisher: Kansas State University 2009
Number of pages: 304
Description:
Denotational semantics is a methodology for giving mathematical meaning to programming languages and systems. It was developed by Christopher Strachey's Programming Research Group at Oxford University in the 1960s. The method combines mathematical rigor, due to the work of Dana Scott, with notational elegance, due to Strachey. Originally used as an analysis tool, denotational semantics has grown in use as a tool for language design and implementation. This book was written to make denotational semantics accessible to a wider audience and to update existing texts in the area. It presents the topic from an engineering viewpoint, emphasizing the descriptional and implementational aspects. The relevant mathematics is also included, for it gives rigor and validity to the method and provides a foundation for further research.
Download or read it online for free here:
Download link
(1.8MB, PDF)
Similar books
Categories, Types, and Structuresby Andrea Asperti, Giuseppe Longo - MIT Press
Here is an introduction to category theory for the working computer scientist. It is a self-contained introduction to general category theory and the mathematical structures that constitute the theoretical background.
(21818 views)
Concrete Semantics: With Isabelle/HOLby Tobias Nipkow, Gerwin Klein - Springer
The book teaches the reader the art of precise logical reasoning and the practical use of a proof assistant as a tool for formal proofs about computer science artefacts. All the mathematics is formalised in Isabelle and much of it is executable.
(9202 views)
The Design and Implementation of Probabilistic Programming Languagesby Noah D. Goodman, Andreas Stuhlmüller - dippl.org
This book explains how to implement PPLs by lightweight embedding into a host language. We illustrate this by designing WebPPL, a small PPL embedded in Javascript. We show how to implement several algorithms for universal probabilistic inference.
(9258 views)
Reasoned Programmingby Krysia Broda et al - Prentice Hall Trade
The text for advanced undergraduate/graduate students of computer science. It introduces functional, imperative and logic programming and explains how to do it correctly. Functional programming is presented as a programming language in its own right.
(15301 views)