Parameterized complexity: Difference between revisions

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Improved first paragraph, still not perfect. Copied some wording from computational complexity theory.
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'''Parameterized complexity''' is a branch of [[computational complexity theory]] in [[computer science]] that focuses on classifying [[computational problems]] according to their inherent difficulty with respect to ''multiple'' parameters of the input. In parameterized complexity, the complexity of a problem is measured as a [[Function (mathematics)|function]] in two or more parameters of the input. This way, parameterized complexity achieves to classify [[NP-hard]] problems on a finer scale than this is possible in the classical setting, where the complexity of a problem is only measured by the number of bits in the input.
The first systematic work on parameterized complexity was done by {{harvtxt|Downey|Fellows|1999}}.