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Functionalprogramming
Functionalprogramming

... Scheme is a small but well-designed subset/dialect of Lisp. • Lexical scope rule. • Correct treatment of functional arguments (thanks to lexical scoping): functions are first-class objects, that is, they can be created, assigned to variables, passed as arguments, returned as values. ...
10~Chapter 10_Functi.. - Programming Assignment 0
10~Chapter 10_Functi.. - Programming Assignment 0

Beginning with the Haskell Programming Language About the Tutorial
Beginning with the Haskell Programming Language About the Tutorial

CMSC330 Summer 2010—Midterm #2
CMSC330 Summer 2010—Midterm #2

... (c) (5 pts) OCaml functions take only one parameter. What are the two ways of passing more than one value to an OCaml function? Briefly describe and give an example of each type of function call. Two ways of passing multiple values: 1. Currying—function consumes one argument at a time, creating clos ...
4on1 - FSU Computer Science
4on1 - FSU Computer Science

... Attractive model of computation Absence of side effects makes expressions referentially transparent: the value of an expression depends solely on the function return values in it and not on evaluation order and/or values of global variables A function can always be counted on to return the same resu ...
Lecture 21 - FSU Computer Science
Lecture 21 - FSU Computer Science

... • The basic building block of such programs is the function. • Functions produce results (based on arguments), but do not change any memory state. • In other words, pure functions do not have any side effects. ...
Chapter 11 - Functional Programming, Part I: Concepts and Scheme
Chapter 11 - Functional Programming, Part I: Concepts and Scheme

... 1. Constant atoms, such as numbers and strings, evaluate to themselves.  2. Identifiers are looked up in the current environment and replaced by the value found there. (The environment in Scheme is essentially a dynamically maintained symbol table that associates identifiers to values.)  3. A list ...
Functional Imperative Style
Functional Imperative Style

... Here is what happens if you call foldr with a function f , and identity element z, and a list [x1 , x2 , x3 , . . . , xn ]: foldr f z [x1 , x2 , ..., xn ] = (f x1 (f x2 (f x3 . . . (f xn z) . . .). And the same thing using infix notation: foldr f z [x1 , x2 , ..., xn ] = (x1 ‘f ‘ (x2 ‘f ‘ (x3 ‘f ‘ ( ...
Functional Programming
Functional Programming

... with tail-recursion, don't need to retain current activation record when make call  can discard the current activation record, push record for new recursive call  thus, no limit on recursion depth (each recursive call reuses the same memory)  Scheme interpreters are required to perform this tail- ...
CSC 533: Programming Languages Spring 2017
CSC 533: Programming Languages Spring 2017

... unlike arrays, lists do not have to store items of same type/size do not have to be stored contiguously do not have to provide random access §  all computation is performed by applying functions to arguments in pure LISP: no variables, no assignments, no iteration §  functions and function calls are ...
pl10ch15 - ODU Computer Science
pl10ch15 - ODU Computer Science

... int (the default for numeric values) - User-defined overloaded functions are not allowed, so if we wanted a cube function for real parameters, it would need to have a different name Copyright © 2012 Addison-Wesley. All rights reserved. ...
Lect_8_9
Lect_8_9

... Haskell is a typeful programming language: types are pervasive (unlike Scheme) Because Haskell is a purely functional language, all computations are done via the evaluation of expressions (syntactic terms) to yield values (abstract entities that we regard as answers). Every value has an associated t ...
Modeling, Specification Languages, Array Programs
Modeling, Specification Languages, Array Programs

... Satisfiability Modulo Theories In 1980, Nelson and Oppen [21] proposed a new technique for combining propositional reasoning and dedicated decision procedures for specific theories. This gave birth to a new class of automated theorem provers called SMT solvers. A precursor of such solvers is Simplif ...
Chapter 3
Chapter 3

... • Runtime environment of functional languages is more complicated than the stack-based environment of a standard block-structured imperative language • Garbage collection: automatic memory management technique to return memory used by functions ...
Chapter 3
Chapter 3

An introduction to functional programming using Haskell
An introduction to functional programming using Haskell

ppt - Rensselaer Polytechnic Institute: Computer Science
ppt - Rensselaer Polytechnic Institute: Computer Science

... • Guarantees that the computations are evaluating functions on (partial) data structures • The core of functional programming (LISP, Scheme, ML, Haskell) • The core of logic programming (Prolog, Mercury) • Stateless programming vs. stateful (imperative) programming • We will see how declarative prog ...
overview on declarative programming
overview on declarative programming

... Hiding implementation details can be considered a handicap for programmers because access to low-level details provides a high degree of flexibility. However, a lot of flexibility implies a lot of potential for errors, and, more importantly, less potential for abstraction. For example, we can write ...
ppt - Computer Science at RPI
ppt - Computer Science at RPI

... • Guarantees that the computations are evaluating functions on (partial) data structures • The core of functional programming (LISP, Scheme, ML, Haskell) • The core of logic programming (Prolog, Mercury) • Stateless programming vs. stateful (imperative) programming • We will see how declarative prog ...
val a = 15
val a = 15

x + 1 - Postech
x + 1 - Postech

... Variables are NOT variable. • The contents of a variable never change. • Surprise? – That’s because you are thinking about variables in imperative programming. variables in SML ...
Audio Processing using Haskell
Audio Processing using Haskell

... Imperative programming languages are the usual choice for today’s software. The currently popular CPUs conform to the imperative programming paradigm and allow a fast execution of imperative programs. Nevertheless fnctional programming languages like Haskell [1, 2] became valuable alternatives in th ...
ppt - FSU Computer Science
ppt - FSU Computer Science

... Useful features are found in functional languages that are often missing in procedural languages or have been adopted by modern programming languages: • First-class function values: the ability of functions to return newly constructed functions. • Higher-order functions: functions that take other fu ...
slides 4-up
slides 4-up

1 Salient Features of Functional Programming
1 Salient Features of Functional Programming

... • Recursive thinking and inductive proofs are two sides of the same coin: either the base or the inductive case. Thus we often reason about a function — or even code it! — by induction over the recursive data type it processes. ...
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Closure (computer programming)

In programming languages, closures (also lexical closures or function closures) are a technique for implementing lexically scoped name binding in languages with first-class functions. Operationally, a closure is a record storing a function together with an environment: a mapping associating each free variable of the function (variables that are used locally, but defined in an enclosing scope) with the value or storage location to which the name was bound when the closure was created. A closure—unlike a plain function—allows the function to access those captured variables through the closure's reference to them, even when the function is invoked outside their scope.Example. The following program fragment defines a higher-order function startAt with a parameter x and a nested function incrementBy. The nested function incrementBy has access to x, because incrementBy is in the lexical scope of x, even though x is not local to incrementBy. The function startAt returns a closure containing the function incrementBy, which adds the y value to the x value, and a reference to the variable x from this invocation of startAt, so incrementBy will know where to find it once invoked:function startAt(x) function incrementBy(y) return x + y return incrementByvariable closure1 = startAt(1)variable closure2 = startAt(5)Note that, as startAt returns a function, the variables closure1 and closure2 are of function type. Invoking closure1(3) will return 4, while invoking closure2(3) will return 8. While closure1 and closure2 refer to the same function incrementBy, the associated environments differ, and invoking the closures will bind the name x to two distinct variables with different values in the two invocations, thus evaluating the function to different results.
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