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https://doi.org/10.1007/978-3-...
Part of book or chapter of book . 2011 . Peer-reviewed
License: Springer TDM
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DBLP
Conference object . 2023
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Transforming Functional Logic Programs into Monadic Functional Programs

Authors: Bernd Braßel; Sebastian Fischer 0001; Michael Hanus; Fabian Reck 0002;

Transforming Functional Logic Programs into Monadic Functional Programs

Abstract

We present a high-level transformation scheme to translate lazy functional logic programs into pure Haskell programs. This transformation is based on a recent proposal to efficiently implement lazy non-deterministic computations in Haskell in a monadic style. We build on this work and define a systematic method to transform lazy functional logic programs into monadic programs with explicit sharing. This results in a transformation scheme which produces high-level and flexible target code. For instance, the target code is parametric w.r.t. the concrete evaluation monad. Thus, different monad instances could, for example, define different search strategies (e.g., depth-first, breadth-first, parallel). We formally describe the basic compilation scheme and some useful extensions.

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    popularity
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
5
Average
Average
Average