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The best <i>L</i><sub>1</sub>-approximation in classes of distributions
Abstract. The paper has considered a gradient method of finding the best <i>L</i><sub>1</sub>-approximation in classes of distributions. The method is based on geometrical differentiation and can be applied for approximation of functions, expressed in a graph form, for instance, by reading out of devices. The method, expounded here for the class of normal distributions, can readily be extended to other classes of distributions.
Printed reference: Panteleev V.P. The best <i>L</i><sub>1</sub>-approximation in classes of distributions // Vestnik of MSTU. 2004. V. 7, No 3. P. .
Electronic reference: Panteleev V.P. The best <i>L</i><sub>1</sub>-approximation in classes of distributions // Vestnik of MSTU. 2004. V. 7, No 3. P. . URL: https://vestnik.mauniver.ru/v07_3_n18/articles/10_pant.zip.
