Abstract Computing Machines / Texts in Theoretical Computer Science. An EATCS Series (PDF)
The book addresses ways and means of organizing computations, highlighting the relationship between algorithms and the basic mechanisms and runtime structures necessary to execute them using machines. It completely abstracts from concrete programming...
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The book addresses ways and means of organizing computations, highlighting the relationship between algorithms and the basic mechanisms and runtime structures necessary to execute them using machines. It completely abstracts from concrete programming languages and machine architectures, taking instead the lambda calculus as the basic programming and program execution model to design various abstract machines for its correct implementation.
The emphasis is on fully normalizing machines based on full-fledged beta-reductions as essential prerequisites for symbolic computations that treat functions and variables truly as first-class objects. Their weakly normalizing counterparts are shown to be functional abstract machines that sacrifice the flavors of full beta-reductions for decidedly simpler runtime structures and improved runtime efficiency. Further downgrading of the lambda calculus leads to classical imperative machines that permit side-effecting operations on the runtime environment.
- Autor: Werner Kluge
- 2005, 2005, 384 Seiten, Englisch
- Verlag: Springer-Verlag GmbH
- ISBN-10: 354027359X
- ISBN-13: 9783540273592
- Erscheinungsdatum: 02.12.2005
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
- Dateiformat: PDF
- Größe: 3.31 MB
- Ohne Kopierschutz
- Vorlesefunktion
"This remarkable monograph is an extremely well-written and pleasant and reading about abstract computing machines … . The author chooses a somewhat ‘imperative’ approach to teaching, which results in the survey of a vast number of concepts provided with many useful examples. The expository style is most favourable, which could be of special value for a reader with no strong background in the area. … Altogether, this is a book worth reading." (Vladimir Komendantsky, Mathematical Reviews, Issue 2007 k)
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