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Kolmogorov complexity and Pascal (programming language)

Shortcuts: Differences, Similarities, Jaccard Similarity Coefficient, References.

Difference between Kolmogorov complexity and Pascal (programming language)

Kolmogorov complexity vs. Pascal (programming language)

In algorithmic information theory (a subfield of computer science and mathematics), the Kolmogorov complexity of an object, such as a piece of text, is the length of the shortest computer program (in a predetermined programming language) that produces the object as output. Pascal is an imperative and procedural programming language, which Niklaus Wirth designed in 1968–69 and published in 1970, as a small, efficient language intended to encourage good programming practices using structured programming and data structuring. It is named in honor of the French mathematician, philosopher and physicist Blaise Pascal. Pascal was developed on the pattern of the ALGOL 60 language. Wirth had already developed several improvements to this language as part of the ALGOL X proposals, but these were not accepted and Pascal was developed separately and released in 1970. A derivative known as Object Pascal designed for object-oriented programming was developed in 1985; this was used by Apple Computer and Borland in the late 1980s and later developed into Delphi on the Microsoft Windows platform. Extensions to the Pascal concepts led to the Pascal-like languages Modula-2 and Oberon.

Similarities between Kolmogorov complexity and Pascal (programming language)

Kolmogorov complexity and Pascal (programming language) have 6 things in common (in Unionpedia): Data structure, Interpreter (computing), Lisp (programming language), Pascal (programming language), Programming language, String (computer science).

Data structure

In computer science, a data structure is a data organization and storage format that enables efficient access and modification.

Data structure and Kolmogorov complexity · Data structure and Pascal (programming language) · See more »

Interpreter (computing)

In computer science, an interpreter is a computer program that directly executes, i.e. performs, instructions written in a programming or scripting language, without requiring them previously to have been compiled into a machine language program.

Interpreter (computing) and Kolmogorov complexity · Interpreter (computing) and Pascal (programming language) · See more »

Lisp (programming language)

Lisp (historically, LISP) is a family of computer programming languages with a long history and a distinctive, fully parenthesized prefix notation.

Kolmogorov complexity and Lisp (programming language) · Lisp (programming language) and Pascal (programming language) · See more »

Pascal (programming language)

Pascal is an imperative and procedural programming language, which Niklaus Wirth designed in 1968–69 and published in 1970, as a small, efficient language intended to encourage good programming practices using structured programming and data structuring. It is named in honor of the French mathematician, philosopher and physicist Blaise Pascal. Pascal was developed on the pattern of the ALGOL 60 language. Wirth had already developed several improvements to this language as part of the ALGOL X proposals, but these were not accepted and Pascal was developed separately and released in 1970. A derivative known as Object Pascal designed for object-oriented programming was developed in 1985; this was used by Apple Computer and Borland in the late 1980s and later developed into Delphi on the Microsoft Windows platform. Extensions to the Pascal concepts led to the Pascal-like languages Modula-2 and Oberon.

Kolmogorov complexity and Pascal (programming language) · Pascal (programming language) and Pascal (programming language) · See more »

Programming language

A programming language is a formal language that specifies a set of instructions that can be used to produce various kinds of output.

Kolmogorov complexity and Programming language · Pascal (programming language) and Programming language · See more »

String (computer science)

In computer programming, a string is traditionally a sequence of characters, either as a literal constant or as some kind of variable.

Kolmogorov complexity and String (computer science) · Pascal (programming language) and String (computer science) · See more »

The list above answers the following questions

Kolmogorov complexity and Pascal (programming language) Comparison

Kolmogorov complexity has 71 relations, while Pascal (programming language) has 206. As they have in common 6, the Jaccard index is 2.17% = 6 / (71 + 206).

References

This article shows the relationship between Kolmogorov complexity and Pascal (programming language). To access each article from which the information was extracted, please visit:

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