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In the procedural interpretation of logic programs, logical implications behave as goal-reduction procedures. A rule (or clause) of the form: A :- B. which has the logical reading: A if B. behaves as a procedure that reduces goals that unify with A to subgoals that are instances ofB. Consider, for example, the Prolog program:
Procedural programming is a programming paradigm, classified as imperative programming, [1] that involves implementing the behavior of a computer program as procedures (a.k.a. functions, subroutines) that call each other. The resulting program is a series of steps that forms a hierarchy of calls to its constituent procedures.
The NIST Dictionary of Algorithms and Data Structures [1] is a reference work maintained by the U.S. National Institute of Standards and Technology. It defines a large number of terms relating to algorithms and data structures. For algorithms and data structures not necessarily mentioned here, see list of algorithms and list of data structures.
A snippet of C code which prints "Hello, World!". The syntax of the C programming language is the set of rules governing writing of software in C. It is designed to allow for programs that are extremely terse, have a close relationship with the resulting object code, and yet provide relatively high-level data abstraction.
Procedural programming is a type of imperative programming in which the program is built from one or more procedures (also termed subroutines or functions). The terms are often used as synonyms, but the use of procedures has a dramatic effect on how imperative programs appear and how they are constructed.
Structured programming is a programming paradigm aimed at improving the clarity, quality, and development time of a computer program by making specific disciplined use of the structured control flow constructs of selection (if/then/else) and repetition (while and for), block structures, and subroutines.
Structured writing is a form of technical writing that uses and creates structured documents to allow people to digest information both faster and easier. [1] From 1963 to 1965, Robert E. Horn worked to develop a way to structure and connect large amounts of information, taking inspiration from geographical maps. [2]
Lisp was the first language where the structure of program code is represented faithfully and directly in a standard data structure—a quality much later dubbed "homoiconicity". Thus, Lisp functions can be manipulated, altered or even created within a Lisp program without lower-level manipulations.