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pl11ch15
pl11ch15

... • Common Lisp has a symbol data type (similar to that of Ruby) – The reserved words are symbols that evaluate to themselves – Symbols are either bound or unbound • Parameter symbols are bound while the function is being evaluated • Symbols that are the names of imperative style variables that have b ...
ML Basics
ML Basics

Principles of Programming Languages - 815338A
Principles of Programming Languages - 815338A

... definitions. Function applications and data have the same form. e.g., If the list (A B C) is interpreted as data it is a simple list of three atoms, A, B, and C If it is interpreted as a function application, it means that the function named A is applied to the two parameters, B and C • The first LI ...
Lecture 07  - University of Florida
Lecture 07 - University of Florida

... operator (for that we have &). ...
Lambda expressions, functions and binding
Lambda expressions, functions and binding

... And we know how to evaluate lambda-expressions applied to argument: replace formal parameter by actual parameter. Everything in functional programming can be explained by lambda expressions. You could view them as the assembly language of functional programming. Even lower level: COMBINATORS. All of ...
Example - bYTEBoss
Example - bYTEBoss

Foundations of Functional Programming
Foundations of Functional Programming

Page 1 Vol. 22 (NE-1), ENC Marzo 2012 35 Universidad de
Page 1 Vol. 22 (NE-1), ENC Marzo 2012 35 Universidad de

Lecture - 12: The RPAL Functional Language
Lecture - 12: The RPAL Functional Language

... operator (for that we have &). ...
scheme1
scheme1

... • It’s a simple, elegant yet powerful language • You will learn a lot about PLs from studying it • We’ll look at how to implement a Scheme interpreter in Scheme • Many features, once unique to Lisp, are now in “mainstream” PLs: python, javascript, perl, R … • It will expand your notion of what a PL ...
Modeling Data With Functional Programming In R
Modeling Data With Functional Programming In R

... features. Many of these concepts originate from the lambda calculus, a mathematical framework for describing computation via functions. While each functional language supports a slightly di↵erent set of features, there is a minimal set of overlapping concepts that we can consider to form the basis o ...
Functional
Functional

... – (LIST-REF X num) returns the (num)th element of list X, where the first element has index 0 – (APPEND X Y ... Z) copies all the lists except the last and returns a list with the copy of X followed by the copy of Y followed by... followed by the original of Z ...
scheme1 - Department of Computer Science and Electrical
scheme1 - Department of Computer Science and Electrical

... interpreted as data (i.e., a list of four elements) or code (calling function ‘A’ to the three parameters B, C, and D) • Reliance on Recursion – iteration is provided too, but recursion is considered more natural • Garbage Collection – frees programmer’s explicit memory management ...
scheme1
scheme1

... • Lisp is an old language with many variants – Fortran is the only older language still in wide use – Lisp is alive and well today • Most modern versions are based on Common Lisp • Scheme is one of the major variants – We will use Scheme, not Lisp, in this class – Scheme is used for CS 101 in quite ...
Chapter 11 - Functional Programming, Part II: ML, Delayed
Chapter 11 - Functional Programming, Part II: ML, Delayed

... different types. An easy example is the square function, defined by square x = x * x.  The type of square in Haskell is: square :: Num a => a -> a  This says basically that square is defined for any Num a type (such types all have a * function).  The type Num a => a is called a qualified type, an ...
Chapter 11 - Functional Programming, Part II: ML, Delayed
Chapter 11 - Functional Programming, Part II: ML, Delayed

... different types. An easy example is the square function, defined by square x = x * x.  The type of square in Haskell is: square :: Num a => a -> a  This says basically that square is defined for any Num a type (such types all have a * function).  The type Num a => a is called a qualified type, an ...
Lambda Calculus Background, λ calculus Models of computation
Lambda Calculus Background, λ calculus Models of computation

... • Sometimes there are several redexes in a λ-expression => possible to choose different reduction orders • Normal order = reduce leftmost-outermost redex first = substitute the argumentet literally into the body of the function = call-by-name ≈ lazy evaluation • Applicative order = Leftmost-innermos ...
Lecture 3
Lecture 3

... variable of the same name, redeclare it first with the global keyword ...
CA320 - Computability & Complexity
CA320 - Computability & Complexity

Abstract machine for a comonadic dataflow language
Abstract machine for a comonadic dataflow language

Register Allocation
Register Allocation

Functional Programming in Scheme Functional Programming
Functional Programming in Scheme Functional Programming

... • Syntax - Cambridge Prefix – Parenthesized ...
ppt
ppt

... • Syntax - Cambridge Prefix – Parenthesized ...
ppt
ppt

... • Syntax - Cambridge Prefix – Parenthesized ...
functional form
functional form

... Imperative Languages vs. Parallel Computing • “There are quite a few new challenges, most of them are about scale, such as scaling your database, scaling your users sessions etc, but one of the most significant challenges is scaling your algorithm by parallelizing it.” • “The problem is that impera ...
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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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