Pseudocode

Pseudocode is an informal high-level description of the operating principle of a computer program or other algorithm.

It uses the structural conventions of a normal programming language, but is intended for human reading rather than machine reading. Pseudocode typically omits details that are essential for machine understanding of the algorithm, such as variable declarations, system-specific code and some subroutines. The programming language is augmented with natural language description details, where convenient, or with compact mathematical notation. The purpose of using pseudocode is that it is easier for people to understand than conventional programming language code, and that it is an efficient and environment-independent description of the key principles of an algorithm. It is commonly used in textbooks and scientific publications that are documenting various algorithms, and also in planning of computer program development, for sketching out the structure of the program before the actual coding takes place.

No standard for pseudocode syntax exists, as a program in pseudocode is not an executable program. Pseudocode resembles, but should not be confused with, skeleton programs which can be compiled without errors. Flowcharts, drakon-charts and Unified Modeling Language (UML) charts can be thought of as a graphical alternative to pseudocode, but are more spacious on paper. Languages such as HAGGIS bridge the gap between pseudocode and code written in programming languages. Its main use is to introduce students to high level languages through use of this hybrid language.

Application

Textbooks and scientific publications related to computer science and numerical computation often use pseudocode in description of algorithms, so that all programmers can understand them, even if they do not all know the same programming l

A programmer who needs to implement a specific algorithm, especially an unfamiliar one, will often stefinement.

Syntax

As the name suggests, pseudocode generally does not actually obey the syntax rules of any particular language; there is no systematic standard form, although any particular writer will generally borrow style and syntax; for example, control structures from some conventional programming language. Popular syntax sources include Fortran, Pascal, BASIC, C, C++, Java, Lisp, and ALGOL. Variable declarations are typically omitted. Function calls and blocks of code, such as code contained within a loop, are often replaced by a one-line natural language sentence.

Depending on the writer, pseudocode may therefore vary widely in style, from a near-exact imitation of a real programming language at one extreme, to a description approaching formatted prose at the other.

This is an example of pseudocode (for the mathematical game fizz buzz):

Fortran style pseudo code program fizzbuzz Do i = 1 to 100 set print_number to true If i is divisible by 3 print "Fizz" set print_number to false If i is divisible by 5 print "Buzz" set print_number to false If print_number, print i print a newline end do

Pascal style pseudo code procedure fizzbuzz For i := 1 to 100 do set print_number to true; If i is divisible by 3 then print "Fizz"; set print_number to false; If i is divisible by 5 then print "Buzz"; set print_number to false; If print_number, print i; print a newline; end

C style pseudo code: void function fizzbuzz { for (i = 1; i <= 100; i++) { set print_number to true; If i is divisible by 3 { print "Fizz"; set print_number to false; } If i is divisible by 5 { print "Buzz"; set print_number to false; } If print_number, print i; print a newline; } }

Structured Basic style pseudo code Sub fizzbuzz() For i = 1 to 100 print_number = True If i is divisible by 3 Then Print "Fizz" print_number = False End If If i is divisible by 5 Then Print "Buzz" print_number = False End If If print_number = True Then print i Print a newline Next i End Sub

See also: Category:Articles with example pseudocode

Mathematical style pseudocode

In numerical computation, pseudocode often consists of mathematical notation, typically from set and matrix theory, mixed with the control structures of a conventional programming language, and perhaps also natural language descriptions. This is a compact and often informal notation that can be understood by a wide range of mathematically trained people, and is frequently used as a way to describe mathematical algorithms. For example, the sum operator (capital-sigma notation) or the product operator (capital-pi notation) may represent a for-loop and a selection structure in one expression:

Return $\sum _{k\in S}x_{k}$

Normally non-ASCII typesetting is used for the mathematical equations, for example by means of markup languages, such as TeX or MathML, or proprietary formula editors.

Mathematical style pseudocode is sometimes referred to as pidgin code, for example pidgin ALGOL (the origin of the concept), pidgin Fortran, pidgin BASIC, pidgin Pascal, pidgin C, and pidgin Lisp.

Common mathematical symbols

Type of operation	Symbol	Example
Assignment	← or :=	c ← 2πr, c := 2πr
Comparison	=, ≠, <, >, ≤, ≥
Arithmetic	+, −, ×, /, mod
Floor/ceiling	⌊, ⌋, ⌈, ⌉	a ← ⌊b⌋ + ⌈c⌉
Logical	and, or
Sums, products	∑ ∏	h ← ∑a∈A 1/a

Example

Here follows a longer example of mathematical-style pseudocode, for the Ford–Fulkerson algorithm:

algorithm ford-fulkerson is
    input: Graph G with flow capacity c, 
           source node s, 
           sink node t
    output: Flow f such that f is maximal from s to t

    (Note that f(u,v) is the flow from node u to node v, and c(u,v) is the flow capacity from node u to node v)

    for each edge (u, v) in GE do
        f(u, v) ← 0
        f(v, u) ← 0

    while there exists a path p from s to t in the residual network Gf do
        let cf be the flow capacity of the residual network Gf
        cf(p) ← min{cf(u, v) | (u, v) in p}
        for each edge (u, v) in p do
            f(u, v) ←  f(u, v) + cf(p)
            f(v, u) ← −f(u, v)

    return f

Machine compilation of pseudocode style languages

Natural language grammar in programming languages

Various attempts to bring elements of natural language grammar into computer programming have produced programming languages such as HyperTalk, Lingo, AppleScript, SQL, Inform and to some extent Python. In these languages, parentheses and other special characters are replaced by prepositions, resulting in quite talkative code. These languages are typically dynamically typed, meaning that variable declarations and other boilerplate code can be omitted. Such languages may make it easier for a person without knowledge about the language to understand the code and perhaps also to learn the language. However, the similarity to natural language is usually more cosmetic than genuine. The syntax rules may be just as strict and formal as in conventional programming, and do not necessarily make development of the programs easier.

Mathematical programming languages

An alternative to using mathematical pseudocode (involving set theory notation or matrix operations) for documentation of algorithms is to use a formal mathematical programming language that is a mix of non-ASCII mathematical notation and program control structures. Then the code can be parsed and interpreted by a machine.

Several formal specification languages include set theory notation using special characters. Examples are:

• Z notation
• Vienna Development Method Specification Language (VDM-SL).

Some array programming languages include vectorized expressions and matrix operations as non-ASCII formulas, mixed with conventional control structures. Examples are:

• A programming language (APL), and its dialects APLX and A+.
• MathCAD.

See also

• Concept programming
• Drakon-chart
• Flowchart
• Literate programming
• Program Design Language
• Short Code
• Structured English

References

• Zobel, Justin (2013). "Algorithms". Writing for Computer Science (Second ed.). Springer. ISBN 1-85233-802-4.

External links

• A pseudocode standard
• Collected Algorithms of the ACM
• Pseudocode Guidelines, PDF file.
• Pseudocode generation tool from a model tree learn how to generate pseudocode in a second
• Pseudocode interpreter PSEINT for Android-OS