Functional programming: Difference between revisions
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==Functional programming, time and state== | ==Functional programming, time and state== | ||
A functional programming language is a language modeled after mathematical functions. Non-functional computer programs allow | A functional programming language is a language modeled after mathematical functions. | ||
state changes | Non-functional computer programs allow | ||
state changes. | |||
First class data types | |||
State may not change during a function call. | Functional programs typically make functions first class data types. This | ||
allows functions to be passes as arguments to other functions and | |||
allows for the creation of higher order functions(functions of functions). | |||
Input/Output | |||
In functional programming state is not saved | |||
outside of function calls due to restrictions on io(input:output calls). | |||
State may not change during a function call. Restricting i/o | |||
protects agaist side effects(bad distant changes(i/o) caused by local computation). | |||
Single assignment and proofs | |||
Single assignment makes a computation into a dataflow. Dataflows are easy for | |||
compilers to understand. When state is fixed, functions can be treated similar to | |||
mathematical functions and facts can be proved about such functions. | mathematical functions and facts can be proved about such functions. | ||
Some functional programs can be proved to be equal to each other or | Some functional programs can be proved to be equal to each other or |
Revision as of 11:53, 21 November 2008
Functional programming, time and state
A functional programming language is a language modeled after mathematical functions. Non-functional computer programs allow state changes.
First class data types
Functional programs typically make functions first class data types. This allows functions to be passes as arguments to other functions and allows for the creation of higher order functions(functions of functions).
Input/Output
In functional programming state is not saved outside of function calls due to restrictions on io(input:output calls). State may not change during a function call. Restricting i/o protects agaist side effects(bad distant changes(i/o) caused by local computation).
Single assignment and proofs
Single assignment makes a computation into a dataflow. Dataflows are easy for compilers to understand. 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 be 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.
Some examples of functional programming languages are:
scheme, erlang, (excluding all parallel functions) haskel.
If a functional language is eager then all values are fully computed in the order that they are encountered. In a lazy language like haskel some arguments are allowed to have delayed evaluation.