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The best L1-approximation in classes of distributions
Abstract. The paper has considered a gradient method of finding the best L1-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 L1-approximation in classes of distributions // Vestnik of MSTU. 2004. V. 7, No 3. P. -.
Electronic reference: Panteleev V.P. The best L1-approximation in classes of distributions // Vestnik of MSTU. 2004. V. 7, No 3. P. -. URL: http://vestnik.mstu.edu.ru/v07_3_n18/articles/10_pant.zip.
