Partial parametrization eliminates multiple traversals of data structures
Summary The use of higher order functions in functional programming opens up the possibility of defining functions by partial parametrization, and lazy evaluation brings out a new approach in programming methodology. This paper describes a new transformation technique based on partial parametrizatio...
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| Autor*in: |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
1987 |
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| Umfang: |
21 |
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| Reproduktion: |
Springer Online Journal Archives 1860-2002 |
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| Übergeordnetes Werk: |
in: Acta informatica - 1971, 24(1987) vom: Jan., Seite 57-77 |
| Übergeordnetes Werk: |
volume:24 ; year:1987 ; month:01 ; pages:57-77 ; extent:21 |
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| 520 | |a Summary The use of higher order functions in functional programming opens up the possibility of defining functions by partial parametrization, and lazy evaluation brings out a new approach in programming methodology. This paper describes a new transformation technique based on partial parametrization and fully lazy evaluation for eliminating multiple traversais of data structures. It uses no particular mechanisms in functional programming, whereas it transforms a wider class of programs into efficient ones than that proposed so far. | ||
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(DE-627)NLEJ202569675 DE-627 ger DE-627 rakwb eng Partial parametrization eliminates multiple traversals of data structures 1987 21 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Summary The use of higher order functions in functional programming opens up the possibility of defining functions by partial parametrization, and lazy evaluation brings out a new approach in programming methodology. This paper describes a new transformation technique based on partial parametrization and fully lazy evaluation for eliminating multiple traversais of data structures. It uses no particular mechanisms in functional programming, whereas it transforms a wider class of programs into efficient ones than that proposed so far. Springer Online Journal Archives 1860-2002 Takeichi, Masato oth in Acta informatica 1971 24(1987) vom: Jan., Seite 57-77 (DE-627)NLEJ188994068 (DE-600)1389024-4 1432-0525 nnns volume:24 year:1987 month:01 pages:57-77 extent:21 http://dx.doi.org/10.1007/BF00290706 GBV_USEFLAG_U ZDB-1-SOJ GBV_NL_ARTICLE AR 24 1987 1 57-77 21 |
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(DE-627)NLEJ202569675 DE-627 ger DE-627 rakwb eng Partial parametrization eliminates multiple traversals of data structures 1987 21 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Summary The use of higher order functions in functional programming opens up the possibility of defining functions by partial parametrization, and lazy evaluation brings out a new approach in programming methodology. This paper describes a new transformation technique based on partial parametrization and fully lazy evaluation for eliminating multiple traversais of data structures. It uses no particular mechanisms in functional programming, whereas it transforms a wider class of programs into efficient ones than that proposed so far. Springer Online Journal Archives 1860-2002 Takeichi, Masato oth in Acta informatica 1971 24(1987) vom: Jan., Seite 57-77 (DE-627)NLEJ188994068 (DE-600)1389024-4 1432-0525 nnns volume:24 year:1987 month:01 pages:57-77 extent:21 http://dx.doi.org/10.1007/BF00290706 GBV_USEFLAG_U ZDB-1-SOJ GBV_NL_ARTICLE AR 24 1987 1 57-77 21 |
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partial parametrization eliminates multiple traversals of data structures |
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Partial parametrization eliminates multiple traversals of data structures |
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Summary The use of higher order functions in functional programming opens up the possibility of defining functions by partial parametrization, and lazy evaluation brings out a new approach in programming methodology. This paper describes a new transformation technique based on partial parametrization and fully lazy evaluation for eliminating multiple traversais of data structures. It uses no particular mechanisms in functional programming, whereas it transforms a wider class of programs into efficient ones than that proposed so far. |
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Summary The use of higher order functions in functional programming opens up the possibility of defining functions by partial parametrization, and lazy evaluation brings out a new approach in programming methodology. This paper describes a new transformation technique based on partial parametrization and fully lazy evaluation for eliminating multiple traversais of data structures. It uses no particular mechanisms in functional programming, whereas it transforms a wider class of programs into efficient ones than that proposed so far. |
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Summary The use of higher order functions in functional programming opens up the possibility of defining functions by partial parametrization, and lazy evaluation brings out a new approach in programming methodology. This paper describes a new transformation technique based on partial parametrization and fully lazy evaluation for eliminating multiple traversais of data structures. It uses no particular mechanisms in functional programming, whereas it transforms a wider class of programs into efficient ones than that proposed so far. |
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Partial parametrization eliminates multiple traversals of data structures |
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