SHRAD: A language for sequential real number computation

Research output: Journal PublicationConference articlepeer-review

Abstract

Since Di Gianantonio introduced his semantics for exact real number computation, there has always been a struggle to maintain data abstraction and efficiency as much as possible. The interval domain model - or its variations - can be regarded as the standard setting to obtain maximum data abstraction. As for efficiency there has been much focus on sequentially to the extent that these two terms have become almost synonymous. [2, 3] demonstrated that there is not much one can get by sequential computation in the interval domain model. In [4, 5] we reinforced this result by exposing the limited power of (some extensions of) the sequential fragment of Real-PCF. The previous argument suggests some sort of compromise in the beauty of the model in order to keep efficiency. One way forward is to try to sacrifice extensionality. This is exactly what we did in designing SHRAD [6]. There we succeeded in presenting a framework for exact real number computation which satisfies the following all at the same time: 1. It is sequential. 2. Multi-valuedness is carefully avoided. 3. A 'good degree' of expressivity is retained.

Original languageEnglish
Pages (from-to)128
Number of pages1
JournalLecture Notes in Computer Science
Volume3526
DOIs
Publication statusPublished - 2005
Externally publishedYes
EventFirst Conference on Computability in Europe, CiE 2005: New Computational Paradigms - Amsterdam, Netherlands
Duration: 8 Jun 200512 Jun 2005

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science (all)

Fingerprint

Dive into the research topics of 'SHRAD: A language for sequential real number computation'. Together they form a unique fingerprint.

Cite this