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Audio Processing using Haskell
Audio Processing using Haskell

... that. This makes things more deterministic: If you apply a function to the same argument values it will always result in the same value. Because of this strong determination Haskell is suited for interactive computations (see the interactive mode of Glasgow Haskell[6]) but you do not have to resign ...
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An introduction to functional programming using Haskell

... Another way to express function composition is using the ...
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... – The defect is that the output of an actual interpreter is restricted to values that can be characterized syntactically. (How do you output a function?) – On the other hand, interpreters naturally introduce a simple form of functional abstraction. A recursive interpreter accepts an extra input, an ...
ppt - Dave Reed
ppt - Dave Reed

... integers and rationals are exact values, others can be inexact  arithmetic operators preserve exactness, can explicitly convert ...
Scheme [PPT]
Scheme [PPT]

... starting with LISP 1.5 (1960), through Scheme (1975) to Common LISP (1985). – Lisp(1958) scheme(1975)common Lisp(1985)scheme RRS(1998) – LISP = LISt Processor – Scheme is simpler than Lisp – Scheme specification is about 50 pages, compared to Common Lisp's 1300 page draft standard. ...
Functional Programming: Scheme
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... parameter and yields a list of values obtained by applying the given function to each element of a list of parameters. •  Mathematical notation: –  Form: α –  Function: h(x) ≡ x * x –  Example: α(h, (2, 3, 4)) yields (4, 9, 16) ...
2. Functional Programming
2. Functional Programming

... Example pure functional programming languages: Miranda , Haskell , and Sisal Non-pure functional programming languages include imperative features with side effects that affect global state (e.g. through destructive assignments to global variables) Example: Lisp , Scheme , and ML Useful features are ...
Functional Programming
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... terminate and also, any other reduction sequence will not terminate as well. The left-to-right reduction corresponds to the normal-order evaluation and, considering how it is done, it is somewhat similar to the call by name parameter transfer (i.e. the unevaluated actual parameters replace all the f ...
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4on1 - FSU Computer Science
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CMSC330 Summer 2010—Midterm #2
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Chapter 15 Functional Programming
Chapter 15 Functional Programming

... and bound in M. Then consistently replace the binding and corresponding bound occurrences of y in M by a new variable, say u. Repeat this renaming of bound variables in M until the condition in Step 1 applies, then proceed as in Step 1. Chapter 15: Functional Programming ...
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A short introduction to the Lambda Calculus
A short introduction to the Lambda Calculus

... but the formal parameter of the function declaration. The dot after the formal parameter introduces the function body. Let’s look more closely at the similarity with programming languages, say Pascal: function ...
Functional Programming Big Picture
Functional Programming Big Picture

... ? a set of functional forms to construct complex functions, ? a function application operation, ? some structure to represent data In functional programming, functions are viewed as values themselves, which can be computed by other functions and can be parameters to other functions ? Functions are f ...
CSC 533: Programming Languages Spring 2017
CSC 533: Programming Languages Spring 2017

... LISP is very simple and orthogonal §  only 2 kinds of data objects 1.  atoms (identifiers, strings, numbers, …) 2.  lists (of atoms and sublists) 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 comput ...
Functional Programming
Functional Programming

... each full-recursive call requires a new activation record on the run-time stack 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 ...
functional prog. in scheme
functional prog. in scheme

... • Here’s compose for two functions in Scheme (define (compose2 f g) (lambda (x) (f (g x)))) • Note that compose calls lambda which returns a new function that applies f to the result of applying g to x • We’ll look at how the variable environments work to support this in the next topic, closures • B ...
fp_in_scheme
fp_in_scheme

... • apply takes a function & a list of arguments for it & returns the result of applying the function to them > (apply + ' (1 2 3)) ...
presentation - Queaso Systems nv
presentation - Queaso Systems nv

... Strongly typed programs can’t go wrong • Type inference tries to find the most general type of function o Depending on the functions that are being used ...
pl10ch15 - ODU Computer Science
pl10ch15 - ODU Computer Science

... 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 LISP interpreter appeared only as a demonstrat ...
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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.
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