Algorithm: Difference between revisions
imported>Alexander Wiebel (moved external links to subpage) |
imported>Jitse Niesen (move references to Algorithm/Bibliography) |
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* [[sorting_algorithms|Sorting]] | * [[sorting_algorithms|Sorting]] | ||
* Text string | * Text string | ||
==Basic algorithm designs== | ==Basic algorithm designs== | ||
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*The [[greedy method]]. | *The [[greedy method]]. | ||
*[[Dynamic programming]]. | *[[Dynamic programming]]. | ||
==Some well known algorithms== | ==Some well known algorithms== | ||
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*The [[fast fourier transform]], also known as the fft. | *The [[fast fourier transform]], also known as the fft. | ||
*The [[Euclidean algorithm]], known from number theory. | *The [[Euclidean algorithm]], known from number theory. | ||
Revision as of 15:48, 13 July 2008
An algorithm is a sequence of steps used to solve a problem. A cooking recipe can be considered an example of an algorithm, although the term is more frequently applied to the information processing instructions used in computer programs.
Introduction
An algorithm consists of the underlying recipe steps (print the value of X) rather than the actual computer program source code used to execute the steps (PRINT X). When encoded in computer programs, algorithms operate on data values, preferably data maintained in a consistent data structure. Thus an algorithm is the recipe, while the data structure is the well-stored ingredients on which the recipe is designed to operate.
Nicklaus Wirth, the inventor of the programming language Pascal, titled one of his books "Algorithms + Data Structures = Programs" (ISBN 0130224189) to indicate the complementary nature of algorithms and data structures, and their centrality to computing.
Algorithms are usually expressed independently of the programming language, typically in terms of a brief, informal list of commands called pseudocode, or diagrammatically in the form of a flowchart.
Examples of different categories of algorithms used in computer programming include:
- Bounding limit
- Compression
- Conversion
- Encryption
- Fourier transform
- Geometric
- Graphic
- Numeric
- Probabilistic
- Searching
- Sorting
- Text string
Basic algorithm designs
There are several general methods for designing algorithms. Some of the most common are
- Divide and conquer strategies. These typically yield algorithms of complexity, or better.
- The greedy method.
- Dynamic programming.
Some well known algorithms
- Quicksort
- The fast fourier transform, also known as the fft.
- The Euclidean algorithm, known from number theory.