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Chapter 1
Chapter 1

... 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 demonstration of the universality of the computational capabilities of the notation C ...
Chapter 1 - eLisa UGM
Chapter 1 - eLisa UGM

... 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 demonstration of the universality of the computational capabilities of the notation C ...
pl9ch15 - Systems and Computer Engineering
pl9ch15 - Systems and Computer Engineering

... 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 demonstration of the universality of the computational capabilities of the notation C ...
Maclennan-chap9-Lisp.ppt
Maclennan-chap9-Lisp.ppt

... binds the name (atom) text to the (to be or not to be) that it is a list and return this list. The atom n can now be used as a name for this list in any expression, for example (set ‘Freq (make-table text nil)) ...
04a_Functional
04a_Functional

... • Functional programming involves evaluating expressions rather than executing commands. • Computation is largely performed by applying functions to values. • The value of an expression depends only on the values of its sub-expressions (if any). ...
Compiling Functional Programming Languages (FPLs) λ
Compiling Functional Programming Languages (FPLs) λ

... Combinators: A lambda expression with no occcurences of a free variable. Combinators have by convention names, such as B , S , K , I , C , T etc. Less than a handful is enough to write ANY lambda expression (assuming no free variables) WITHOUT VARIABLES, as Curry and Feys showed in 1958. Amazingly, ...
Chapter 19 Java Data Structures
Chapter 19 Java Data Structures

... deletions take place only at the one end, referred to as the top of a stack. A queue represents a waiting list, where insertions take place at the back (also referred to as the tail of) of a queue and deletions take place from the front (also referred to as the head of) of a queue. A binary tree is ...
Chapter 3
Chapter 3

... associated only to values, not memory locations • Lack of local state in functional programming makes it opposite of OO programming, wherein computation proceeds by changing the local state of objects • In functional programming, functions must be general language objects, viewed as values ...
Chapter 3
Chapter 3

... associated only to values, not memory locations • Lack of local state in functional programming makes it opposite of OO programming, wherein computation proceeds by changing the local state of objects • In functional programming, functions must be general language objects, viewed as values ...
Executing Higher Order Logic
Executing Higher Order Logic

... Executing formal specifications has been a popular research topic for some decades, covering every known specification formalism. Executability is essential for validating complex specifications by running test cases and for generating code automatically (“rapid prototyping”). In the theorem proving ...
Chapter 1
Chapter 1

... ML  A static-scoped functional language with syntax that is closer to Pascal than to LISP  Uses type declarations, but also does type inferencing to determine the types of undeclared variables (will see in Chapter 5)  It is strongly typed (whereas Scheme is essentially typeless) and has no type ...
Ch1516rev
Ch1516rev

... ML  A static-scoped functional language with syntax that is closer to Pascal than to LISP  Uses type declarations, but also does type inferencing to determine the types of undeclared variables (will see in Chapter 5)  It is strongly typed (whereas Scheme is essentially typeless) and has no type ...
Scheme [PPT]
Scheme [PPT]

... • memq: return the first sublist of list whose car is obj. If obj does not occur in list, then #f (not the empty list) is returned – memq 'a '(a b c)) ...
Beginning with the Haskell Programming Language About the Tutorial
Beginning with the Haskell Programming Language About the Tutorial

... Isolate side effects In Haskell, function computation cannot have side effects within the program. Most of the side effects in imperative programs are probably the sort of variable reassignment mentioned in the last panel (whether global variables, or local, or dictionaries, lists, or other storage ...
Example
Example

... • The objective of the design of a FPL is to mimic mathematical functions to the greatest extent possible • In an imperative language, – operations are done and the results are stored in variables for later use – Management of variables is a constant concern and source of complexity for imperative p ...
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 ...
Chapter 1 - KSU Web Home
Chapter 1 - KSU Web Home

... Copyright © 2009 Addison-Wesley. All rights reserved. ...
Functional Programming Big Picture
Functional Programming Big Picture

... ? E.g., a function rand, which returns a (pseudo) random value, cannot be referentially transparent since it depends on the state of the machine (and previous calls to itself) ...
Lisp a functional programming language
Lisp a functional programming language

... simplicity.Program and data have exactly the same form: parenthesized lists.  For example : (A B C D ) When interpreted as data, it is a list of four elements. When viewed as code, it is the application of the function named A to the three parameters B C and D. ...
pptx
pptx

... int oldx; int x = 50; while (x > 0) do { if copied then assert (x <_{T_i} oldx) else if * then { copied=true; oldx=x; ...
List
List

... – LISP, Scheme, other functional languages also support iteration, assignment, etc. – We will cover some of these “impure” elements but emphasize the functional portion ...
5. Functional Programming
5. Functional Programming

... PS — Functional Programming ...
5. Functional Programming
5. Functional Programming

... PS — Functional Programming ...
PDF - 4up
PDF - 4up

... trick is to create a new larger array to replace the current array if the current array cannot hold new elements in the list. Initially, an array, say data of Object[] type, is created with a default size. When inserting a new element into the array, first ensure there is enough room in the array. I ...
Functional Programming Languages (LISP/ Scheme)
Functional Programming Languages (LISP/ Scheme)

... 1) A set of primitive functions (car, cdr, cons, etc.) 2) A set of functional forms to form complex functions from primitive ones. (define, defun, etc.) 3) A function application operation. (eval) 4) Some structure or structures for storing data. (Define, setq, etc.) ...
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Tail call

In computer science, a tail call is a subroutine call performed as the final action of a procedure. If a tail call might lead to the same subroutine being called again later in the call chain, the subroutine is said to be tail-recursive, which is a special case of recursion. Tail recursion (or tail-end recursion) is particularly useful, and often easy to handle in implementations.Tail calls can be implemented without adding a new stack frame to the call stack. Most of the frame of the current procedure is not needed any more, and it can be replaced by the frame of the tail call, modified as appropriate (similar to overlay for processes, but for function calls). The program can then jump to the called subroutine. Producing such code instead of a standard call sequence is called tail call elimination. Tail call elimination allows procedure calls in tail position to be implemented as efficiently as goto statements, thus allowing efficient structured programming. In the words of Guy L. Steele, ""in general procedure calls may be usefully thought of as GOTO statements which also pass parameters, and can be uniformly coded as [machine code] JUMP instructions.""Traditionally, tail call elimination is optional. However, in functional programming languages, tail call elimination is often guaranteed by the language standard, and this guarantee allows using recursion, in particular tail recursion, in place of loops. In such cases, it is not correct (though it may be customary) to refer to it as an optimization. The special case of tail recursive calls, when a function calls itself, may be more amenable to call elimination than general tail calls.
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