Algorithmic complexity: Difference between revisions
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'''Algorithmic complexity''' may refer to: |
'''Algorithmic complexity''' may refer to: |
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* In [[algorithmic information theory]], the complexity of a particular string, in terms of all algorithms that generate it |
* In [[algorithmic information theory]], the complexity of a particular string, in terms of all algorithms that generate it. |
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** [[Kolmogorov–Chaitin complexity]], the most widely used such measure |
** [[Kolmogorov complexity|Solomonoff-Kolmogorov–Chaitin complexity]], the most widely used such measure. |
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* In [[Computational complexity theory]], although it would be a non-formal usage of term, the time/space complexity of a particular problem, in terms of all algorithms that solve it with computational resources (i.e., time or space) bounded by a function of the input's size. |
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* In [[analysis of algorithms]], the complexity of a particular algorithm |
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** Or it may refer to the time/space complexity of a particular algorithm with respect to solving a particular problem (as above), which is a notion commonly found in [[analysis of algorithms]]. |
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{{disambiguation}} |
{{disambiguation}} |
Revision as of 14:21, 17 July 2019
Algorithmic complexity may refer to:
- In algorithmic information theory, the complexity of a particular string, in terms of all algorithms that generate it.
- Solomonoff-Kolmogorov–Chaitin complexity, the most widely used such measure.
- In Computational complexity theory, although it would be a non-formal usage of term, the time/space complexity of a particular problem, in terms of all algorithms that solve it with computational resources (i.e., time or space) bounded by a function of the input's size.
- Or it may refer to the time/space complexity of a particular algorithm with respect to solving a particular problem (as above), which is a notion commonly found in analysis of algorithms.