Higher order function: Difference between revisions
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[[Category:Glossary]] [[Category:Idioms]] | [[Category:Glossary]] [[Category:Idioms]] | ||
==Definition== | ==Definition== | ||
A '''higher order function''' is a function that takes other functions as arguments. | A '''higher-order function''' is a function that takes other functions as arguments or returns a function as result. | ||
==Discussion== | ==Discussion== | ||
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====In the libraries==== | ====In the libraries==== | ||
Many functions in the libraries are higher order. The (probably) most commonly given examples are <hask>map</hask> and <hask>fold</hask>. | Many functions in the libraries are higher-order. The (probably) most commonly given examples are <hask>map</hask> and <hask>fold</hask>. | ||
Two other common ones are <hask>curry, uncurry</hask>. A possible implementation of | Two other common ones are <hask>curry, uncurry</hask>. A possible implementation of these is: | ||
<haskell> | <haskell> | ||
curry :: ((a,b)->c) -> a->b->c | curry :: ((a,b)->c) -> a->b->c | ||
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doubleList = multList 2 | doubleList = multList 2 | ||
</haskell> | </haskell> | ||
leading to a less error prone definition of each | leading to a less error prone definition of each. | ||
But now, if we had the function | |||
<haskell> | <haskell> | ||
addToList n [] = [] | addToList n [] = [] | ||
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doubleList = mapList (2*) | doubleList = mapList (2*) | ||
</haskell> | </haskell> | ||
This higher-order function "mapList" can be used in a wide range of areas to simplify code. | |||
to simplify code | It is called <hask>map</hask> in Haskell's Prelude. | ||
====Mathematical examples==== | |||
In mathematics the counterpart to higher-order functions are functionals (mapping functions to scalars) and function operators (mapping functions to functions). | |||
Typical functionals are the limit of a sequence, or the integral of an interval of a function. | |||
<haskell> | |||
limit :: [Double] -> Double | |||
definiteIntegral :: (Double, Double) -> (Double -> Double) -> Double | |||
</haskell> | |||
Typical operators are the indefinite integral, the derivative, the function inverse. | |||
<haskell> | |||
indefiniteIntegral :: Double -> (Double -> Double) -> (Double -> Double) | |||
derive :: (Double -> Double) -> (Double -> Double) | |||
inverse :: (Double -> Double) -> (Double -> Double) | |||
</haskell> | |||
Here is a numerical approximation: | |||
<haskell> | |||
derive :: Double -> (Double -> Double) -> (Double -> Double) | |||
derive eps f x = (f(x+eps) - f(x-eps)) / (2*eps) | |||
</haskell> | |||
==See also== | ==See also== | ||
[[Accumulator recursion]] where the accumulator is a higher order function is one interesting case of [[continuation passing style]]. | [[Accumulator recursion]] where the accumulator is a higher-order function is one interesting case of [[continuation passing style]]. |
Latest revision as of 18:20, 29 September 2010
Definition
A higher-order function is a function that takes other functions as arguments or returns a function as result.
Discussion
The major use is to abstract common behaviour into one place.
Examples
In the libraries
Many functions in the libraries are higher-order. The (probably) most commonly given examples are map
and fold
.
Two other common ones are curry, uncurry
. A possible implementation of these is:
curry :: ((a,b)->c) -> a->b->c
curry f a b = f (a,b)
uncurry :: (a->b->c) -> ((a,b)->c)
uncurry f (a,b)= f a b
curry
's first argument must be a function which accepts a pair. It applies that function to its next two arguments.
uncurry
is the inverse of curry
. Its first argument must be a function taking two values. uncurry
then applies that function to the components of the pair which is the second argument.
Simple code examples
Rather than writing
doubleList [] = []
doubleList (x:xs) = 2*x : doubleList xs
and
tripleList [] = []
tripleList (x:xs) = 3*x : tripleList xs
we can parameterize out the difference
multList n [] = []
multList n (x:xs) = n*x : multList n xs
and define
tripleList = multList 3
doubleList = multList 2
leading to a less error prone definition of each.
But now, if we had the function
addToList n [] = []
addToList n (x:xs) = n+x : addToList n xs
we could parameterize the difference again
operlist n bop [] = []
operlist n bop (x:xs) = bop n x : operlist n bop xs
and define doubleList as
doubleList = operList 2 (*)
but this ties us into a constant parameters
and we could redefine things as
mapList f [] = []
mapList f (x:xs) = f x : mapList f xs
and define doubleList as
doubleList = mapList (2*)
This higher-order function "mapList" can be used in a wide range of areas to simplify code.
It is called map
in Haskell's Prelude.
Mathematical examples
In mathematics the counterpart to higher-order functions are functionals (mapping functions to scalars) and function operators (mapping functions to functions). Typical functionals are the limit of a sequence, or the integral of an interval of a function.
limit :: [Double] -> Double
definiteIntegral :: (Double, Double) -> (Double -> Double) -> Double
Typical operators are the indefinite integral, the derivative, the function inverse.
indefiniteIntegral :: Double -> (Double -> Double) -> (Double -> Double)
derive :: (Double -> Double) -> (Double -> Double)
inverse :: (Double -> Double) -> (Double -> Double)
Here is a numerical approximation:
derive :: Double -> (Double -> Double) -> (Double -> Double)
derive eps f x = (f(x+eps) - f(x-eps)) / (2*eps)
See also
Accumulator recursion where the accumulator is a higher-order function is one interesting case of continuation passing style.