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Normalization and Partial Evaluation of Functional Logic Programs: 2017/1 - Tapa dura

Peemöller, Björn

 
9783744821926: Normalization and Partial Evaluation of Functional Logic Programs: 2017/1

Sinopsis

The functional logic programming paradigm combines the two most important fields of declarative programming, namely functional and logic programming, in an integrated way to allow the concise notation of high-level programs. However, the variety of concepts and conciseness of programs may also impact their efficiency. In this work we employ the powerful optimization technique of partial evaluation to develop a fully automatic program optimizer, the so-called partial evaluator. In particular, we formalize the normalization of programs during compilation, establish a formal notation of the evaluation process, develop a formal partial evaluation scheme and prove its correctness and termination, and implement a working partial evaluator which shows impressive results.

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Acerca del autor

Björn Peemöller achieved his Master in Computer Science at the University of Applied Sciences Wedel. After graduation, he joined the research group for Programming Languages and Compiler Construction at Kiel University, where he developed a special interest in the design and implementation of the functional logic language Curry.

De la contraportada

The functional logic programming paradigm combines the two most important fields of declarative programming, namely functional and logic programming, in an integrated way to allow the concise notation of high-level programs. However, the variety of concepts and conciseness of programs may also impact their efficiency. In this work we employ the powerful optimization technique of partial evaluation to develop a fully automatic program optimizer, the so-called partial evaluator. In particular, we formalize the normalization of programs during compilation, establish a formal notation of the evaluation process, develop a formal partial evaluation scheme and prove its correctness and termination, and implement a working partial evaluator which shows impressive results.

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