A choice of norm in discrete approximation (CROSBI ID 78976)
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Marošević, Tomislav
engleski
A choice of norm in discrete approximation
We consider the problem of choice of norms in discrete approximation. First, we describe properties of the standard l_1, l_2 and l_šinftyć norms, and their essential characteristics for using as error criteria in discrete approximation. After that, we mention the possibility of applications of the so-called total least squares and total least l_p norm, for finding the best approximation. Finally, we take a look at some nonstandard, visual error criteria for qualitative smoothing.
discrete approximation; l_1 norm; l_2 norm; l_šinftyć norm; total least squares; total least $l_p$ norm; error criteria
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