norm_K

0th

Percentile

The L2 norm of a kernel

Computes the L2 norm of a kernel implemented in FKSUM, based on its coefficients. NB: the coefficients will first be normalised so that the kernel represents a density function. Equivalent to sqrt(roughness_K())

Keywords
file
Usage
norm_K(beta)
Arguments
beta

numeric vector of positive coefficients.

Value

positive numeric representing the L2 norm of the kernel with coefficients beta/norm_const(beta).

References

Hofmeyr, D.P. (2019) "Fast exact evaluation of univariate kernel sums", IEEE Transactions on Pattern Analysis and Machine Intelligence, in press.

Aliases
  • norm_K
Documentation reproduced from package FKSUM, version 0.1.0, License: GPL

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