# Functional programming

 related topics {math, number, function} {theory, work, human} {system, computer, user} {language, word, form} {company, market, business} {style, bgcolor, rowspan}
 In computer science, functional programming is a programming paradigm that treats computation as the evaluation of mathematical functions and avoids state and mutable data. It emphasizes the application of functions, in contrast to the imperative programming style, which emphasizes changes in state.[1] Functional programming has its roots in lambda calculus, a formal system developed in the 1930s to investigate function definition, function application, and recursion. Many functional programming languages can be viewed as elaborations on the lambda calculus.[1] In practice, the difference between a mathematical function and the notion of a "function" used in imperative programming is that imperative functions can have side effects, changing the value of program state. Because of this they lack referential transparency, i.e. the same language expression can result in different values at different times depending on the state of the executing program. Conversely, in functional code, the output value of a function depends only on the arguments that are input to the function, so calling a function f twice with the same value for an argument x will produce the same result f(x) both times. Eliminating side effects can make it much easier to understand and predict the behavior of a program, which is one of the key motivations for the development of functional programming.[1] Functional programming languages, especially purely functional ones, have largely been emphasized in academia rather than in commercial software development. However, prominent functional programming languages such as Scheme,[2][3][4][5] Erlang,[6][7][8] Objective Caml,[9][10] and Haskell[11][12] have been used in industrial and commercial applications by a wide variety of organizations. Functional programming also finds use in industry through domain-specific programming languages like R (statistics),[13][14] Mathematica (symbolic math),[15] J and K (financial analysis)[citation needed], F# in Microsoft .NET and XSLT (XML).[16][17] Widespread declarative domain specific languages like SQL and Lex/Yacc, use some elements of functional programming, especially in eschewing mutable values.[18] Spreadsheets can also be viewed as functional programming languages.[19] Full article ▸
 related documents Scheme (programming language) Kolmogorov complexity Variable Fourier series Adjoint functors Tensor product Axiom of choice Limit (category theory) Numeral system LR parser Continued fraction Closure (computer science) Fast Fourier transform Calculus Elliptic curve cryptography Logarithm Binary search tree Singleton pattern Algebraic geometry Design Patterns Recurrence relation Hilbert's tenth problem Axiom Collatz conjecture Topological space Dedekind domain Hash table Orthogonal matrix Computational complexity theory Markov chain