lazy evaluation oor Spaans
lazy evaluation
en
(computing) Any of a variety of computing techniques that delays the computation of expressions until (and unless) the results are needed.
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Evaluación perezosa
Geskatte vertalings
Vertoon algoritmies gegenereerde vertalings
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Lazy evaluation can lead to reduction in memory footprint, since values are created when needed.
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Lazy evaluation is used by default in several pure functional languages, including Miranda, Clean, and Haskell.
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This form of non-strict evaluation is also known as lazy evaluation and used in functional programming languages.
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Research in Miranda, a functional language with lazy evaluation, began to take hold in this decade.
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Lazy evaluation does not evaluate function arguments unless their values are required to evaluate the function call itself.
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In 1976 David Turner incorporated lazy evaluation into SASL using combinators.
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Lazy evaluation is often combined with memoization, as described in Jon Bentley's Writing Efficient Programs.
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Alice extends Standard ML with several primitives for lazy evaluation and concurrency.
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Haskell /ˈhæskəl/ is a statically typed, purely functional programming language with type inference and lazy evaluation.
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The usual implementation strategy for lazy evaluation in functional languages is graph reduction.
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Outermost graph reduction is referred to as lazy evaluation and innermost graph reduction is referred to as eager evaluation.
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This technique complements lazy evaluation, but can be used only when the tests are not dependent on one another.
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In languages with macros or lazy evaluation, control flow constructs such as if can be implemented as macros or functions.
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Harper 2009 proposes including both strict and lazy evaluation in the same language, using the language's type system to distinguish them.
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This research produced a series of lazy evaluation programming languages in which some variant of call-by-name is the standard evaluation strategy.
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In languages that use lazy evaluation by default (like Haskell), all functions are effectively short-circuit, and special short-circuit operators are not needed.
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However, lazy evaluation is difficult to combine with imperative features such as exception handling and input/output, because the order of operations becomes indeterminate.
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It is a dialect of Standard ML, augmented with support for lazy evaluation, concurrency (multithreading and distributed computing via remote procedure calls) and constraint programming.
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This dissertation was cited by Peter Henderson and James H. Morris Jr. in 1976 paper, “A lazy evaluator” that introduced the notion of lazy evaluation.
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Launchbury 1993 describes some difficulties that lazy evaluation introduces, particularly in analyzing a program's storage requirements, and proposes an operational semantics to aid in such analysis.
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Launchbury 1993 discusses theoretical issues related to memory leaks from lazy evaluation, and O'Sullivan et al. 2008 give some practical advice for analyzing and fixing them.
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Hughes 1984 argues for lazy evaluation as a mechanism for improving program modularity through separation of concerns, by easing independent implementation of producers and consumers of data streams.
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For example, lazy evaluation is sometimes implemented for P ∧ Q and P ∨ Q, so these connectives are not commutative if some of expressions P, Q has side effects.
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Functional languages can be categorized by whether they use strict (eager) or non-strict (lazy) evaluation, concepts that refer to how function arguments are processed when an expression is being evaluated.
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Under lazy evaluation, the length function returns the value 4 (i.e., the number of items in the list), since evaluating it does not attempt to evaluate the terms making up the list.
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