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Non-strict Languages - Programming and Implementation

Stuart Wray

Open publisher page 30 citations

Abstract

Non-strict evaluation improves the expressive power of functional languages at the expense of an apparent loss of efficiency. In this paper we give examples of this expressive power, taking as an example an interactive functional program and describing the programming techniques depending on non-strict evaluation which improved its design. Implementation methods for non-strict languages have delivered poor performance precisely when such programming techniques have been used. This need not be the case, however, and in the second part of the paper we describe Tim, a method of implementing non-strict languages for which the penalty for using lazy evaluation is very small.

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What this paper is about

Non-strict evaluation improves the expressive power of functional languages at the expense of an apparent loss of efficiency. In this paper we give examples of this expressive power, taking as an example an interactive functional program and describing the programming techniques depending on non-strict evaluation which improved its design. Implementation methods for non-strict languages have delivered poor performance precisely when such programming techniques have been used. This need not be the case, however, and in the second part of the paper we describe Tim, a method of implementing non-strict languages for which the penalty for using lazy evaluation is very small.

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Available abstract

Non-strict evaluation improves the expressive power of functional languages at the expense of an apparent loss of efficiency. In this paper we give examples of this expressive power, taking as an example an interactive functional program and describing the programming techniques depending on non-strict evaluation which improved its design. Implementation methods for non-strict languages have delivered poor performance precisely when such programming techniques have been used. This need not be the case, however, and in the second part of the paper we describe Tim, a method of implementing non-strict languages for which the penalty for using lazy evaluation is very small.

Key concepts: Computer science, Expressive power, Programming language, Functional programming, Lazy evaluation, Fifth-generation programming language, Programming paradigm

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