Functional programming: Difference between revisions
imported>Eric Evers (New page: ==Functional programming, time and state== A functional programming language is a language modeled after mathematical functions. Non-functional computer programs allow state changes. Sta...) |
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state changes. State changes are represented by changes in the | state changes. State changes are represented by changes in the | ||
values of variables over time. In strict functional programming | values of variables over time. In strict functional programming | ||
languages variables are not allowed to change | languages variables are not allowed to change during a single | ||
invocation of a function. | invocation of a function. | ||
In strict functional programming state is not saved | |||
outside of function calls. By removing state outside of functions, | |||
side effects are controled. | |||
State may not change during a function call. Fixed state allows | State may not change during a function call. Fixed state allows | ||
Revision as of 14:04, 16 October 2008
Functional programming, time and state
A functional programming language is a language modeled after mathematical functions. Non-functional computer programs allow state changes. State changes are represented by changes in the values of variables over time. In strict functional programming languages variables are not allowed to change during a single invocation of a function.
In strict functional programming state is not saved outside of function calls. By removing state outside of functions, side effects are controled.
State may not change during a function call. Fixed state allows for the control of side effects(bad distant changes caused by local changes). When state is fixed, functions can be treated similar to mathematical functions and facts can be proved about such functions. Some functional programs can be proved to equal to each other or proved to be stable under certain conditions. Such proofs can aid the efforts of software engineers and computer scientists. See (Hutton, 1999) for an example.
Ref 1: Graham Hutton, 1999, [1]
A tutorial on the universality and expressiveness of fold
J. Functional Programming 9 (4): 355–372, July 1999,
Cambridge University Press.