• Study Resource
  • Explore
    • Arts & Humanities
    • Business
    • Engineering & Technology
    • Foreign Language
    • History
    • Math
    • Science
    • Social Science

    Top subcategories

    • Advanced Math
    • Algebra
    • Basic Math
    • Calculus
    • Geometry
    • Linear Algebra
    • Pre-Algebra
    • Pre-Calculus
    • Statistics And Probability
    • Trigonometry
    • other →

    Top subcategories

    • Astronomy
    • Astrophysics
    • Biology
    • Chemistry
    • Earth Science
    • Environmental Science
    • Health Science
    • Physics
    • other →

    Top subcategories

    • Anthropology
    • Law
    • Political Science
    • Psychology
    • Sociology
    • other →

    Top subcategories

    • Accounting
    • Economics
    • Finance
    • Management
    • other →

    Top subcategories

    • Aerospace Engineering
    • Bioengineering
    • Chemical Engineering
    • Civil Engineering
    • Computer Science
    • Electrical Engineering
    • Industrial Engineering
    • Mechanical Engineering
    • Web Design
    • other →

    Top subcategories

    • Architecture
    • Communications
    • English
    • Gender Studies
    • Music
    • Performing Arts
    • Philosophy
    • Religious Studies
    • Writing
    • other →

    Top subcategories

    • Ancient History
    • European History
    • US History
    • World History
    • other →

    Top subcategories

    • Croatian
    • Czech
    • Finnish
    • Greek
    • Hindi
    • Japanese
    • Korean
    • Persian
    • Swedish
    • Turkish
    • other →
 
Profile Documents Logout
Upload
ppt
ppt

... - Earlier LISPs did not do that (dynamic) ...
Functional Programming in Scheme Functional Programming
Functional Programming in Scheme Functional Programming

... - Earlier LISPs did not do that (dynamic) ...
Functional Languages and Higher
Functional Languages and Higher

... • Solution: heap-allocate function frames • No need for run-time stack • Frames of all lexically enclosing functions are reachable from a closure via static link chains • The GC will collect unused frames • Frames make a lot of garbage look reachable ...
Functional Programming
Functional Programming

... made between "expressions" and "statements" • Code and data are written as expressions. • When an expression is evaluated, it produces a value (or list of values), which then can be embedded into other expressions. ...
Functional Programming
Functional Programming

... – simulates looping via recursion – simulates blocks via functional composition ...
unit 8 - WordPress.com
unit 8 - WordPress.com

... evaluation rules. Strictly speaking, only functions have arguments, but we will also use the term informally to refer to the subexpressions that look like arguments in a special form. Function evaluation When a function is called, the language implementation restores the referencing environment that ...
ppt - Dave Reed
ppt - Dave Reed

... basically, parameter passing is by-value since each argument is evaluated before calling the function – but no copying (instead, structure sharing) ...
ppt - Dave Reed
ppt - Dave Reed

... basically, parameter passing is by-value since each argument is evaluated before calling the function – but no copying (instead, structure sharing) ...
Hello, World!
Hello, World!

... We’ll quickly go through Clojure’s data types, some basic functions, and basic syntax Then we’ll get to the good stuff! ...
Chapter 2 - Lambda Calculus - Rensselaer Polytechnic Institute
Chapter 2 - Lambda Calculus - Rensselaer Polytechnic Institute

... f(x) = x2 , g(x) = x+1 f g is the composition of f and g: f g (x) = f(g(x)) f  g (x) = f(g(x)) = f(x+1) = (x+1)2 = x2 + 2x + 1 g  f (x) = g(f(x)) = g(x2) = x2 + 1 Function composition is therefore not commutative. Function composition can be regarded as a (higher-order) function with the ...
Compiling Functional Programming Languages (FPLs) λ
Compiling Functional Programming Languages (FPLs) λ

... If we don’t want ANY variables, including those in the abstractions, we can use the universal combinators S and K . Note that, Supercombinator Method’s overhead for keeping environment is minimal but NOT ZERO: there are only local variables, values of which are all supplied at the same time. ...
CSC 533: Programming Languages Spring 2015
CSC 533: Programming Languages Spring 2015

... basically, parameter passing is by-value since each argument is evaluated before calling the function – but no copying (instead, structure sharing) ...
Functional Programming
Functional Programming

... basically, parameter passing is by-value since each argument is evaluated before calling the function – but no copying (instead, structure sharing) ...
ppt - Dave Reed
ppt - Dave Reed

... basically, parameter passing is by-value since each argument is evaluated before calling the function – but no copying (instead, structure sharing) ...
Lecture 21 - FSU Computer Science
Lecture 21 - FSU Computer Science

... • A pure function can be counted on to return the same output each time we invoke it with the same input parameter values. • Can be emulated in traditional languages: expressions behave like pure functions; many routines behave like pure functions. • No global (statically allocated) variables, no ex ...
A Tutorial Introduction to the Lambda Calculus
A Tutorial Introduction to the Lambda Calculus

... The λ calculus can be called the smallest universal programming language of the world. The λ calculus consists of a single transformation rule (variable substitution) and a single function definition scheme. It was introduced in the 1930s by Alonzo Church as a way of formalizing the concept of effec ...
ppt - FSU Computer Science
ppt - FSU Computer Science

... Functional programming defines the outputs of a program as a mathematical function of the inputs. • Functional programming is a declarative programming style. • A program in a functional programming language is basically compositions of functions. • The basic building block of such programs is the f ...
Introduction to Emacs and Emacs lisp
Introduction to Emacs and Emacs lisp

...  Computer must be able to process symbolic data and linked lists ...
Lambda Calculus
Lambda Calculus

... The basic λ-calculus denes only a few constructs. These are the following: 1. variables 2. abstraction 3. applications 4. operators [Chu41]. ...
review of haskell
review of haskell

... The nameless function that takes a number x and returns the result x+1. ...
ML Basics
ML Basics

... cs776 (Prasad) ...
Thinking in Clojure 26-Jul-16
Thinking in Clojure 26-Jul-16

... We’ll quickly go through Clojure’s data types, some basic functions, and basic syntax Then we’ll get to the good stuff! ...
slides 4-up
slides 4-up

... all Turing-computable functions are λ-definable and vice versa ...
Chapter 2
Chapter 2

... Imperative language programmers can compare the feature of list comprehension discussed above with the “foreach” loop available in languages like VB 6, VB.NET, C# etc. for example a for each loop to get the squares of even numbers will look some thing like the code below. int[] array= {1,2,3,4,5}; i ...
02/06
02/06

...  A reader macro is a definition of a single character, which is expanded into its Lisp definition  An example of a reader macro is an apostrophe character, which is expanded into a call to QUOTE ...
< 1 ... 5 6 7 8 9 10 11 12 >

Anonymous function

In computer programming, an anonymous function (also function literal or lambda abstraction) is a function definition that is not bound to an identifier. Anonymous functions are often: arguments being passed to higher-order functions, or used for constructing the result of a higher-order function that needs to return a function.If the function is only used once, or a limited number of times, an anonymous function may be syntactically lighter than using a named function. Anonymous functions are ubiquitous in functional programming languages and other languages with first-class functions, where they fulfill the same role for the function type as literals do for other data types.Anonymous functions originate in the work of Alonzo Church in his invention of the lambda calculus in 1936 (prior to electronic computers), in which all functions are anonymous. In several programming languages, anonymous functions are introduced using the keyword lambda, and anonymous functions are often referred to as lambdas or lambda abstractions. Anonymous functions have been a feature of programming languages since Lisp in 1958 and an increasing number of modern programming languages support anonymous functions.Anonymous functions are a form of nested function, in allowing access to variables in the scope of the containing function (non-local variables). This means anonymous functions need to be implemented using closures. Unlike named nested functions, they cannot be recursive without the assistance of a fixpoint operator (also known as an anonymous fixpoint or anonymous recursion) or binding them to a name.
  • studyres.com © 2025
  • DMCA
  • Privacy
  • Terms
  • Report