Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Vladimir Krutikov"'
Publikováno v:
Mathematics, Vol 12, Iss 11, p 1618 (2024)
The work proves that under conditions of instability of the second derivatives of the function in the minimization region, the estimate of the convergence rate of Newton’s method is determined by the parameters of the irreducible part of the condit
Externí odkaz:
https://doaj.org/article/05d9dc50cfe8410d8ed7dea91ccccf70
Publikováno v:
Axioms, Vol 13, Iss 4, p 240 (2024)
In this article, we consider the correction of metric matrices in quasi-Newton methods (QNM) from the perspective of machine learning theory. Based on training information for estimating the matrix of the second derivatives of a function, we formulat
Externí odkaz:
https://doaj.org/article/222f5f454fae4a1ebe1abb8f07501a61
On the Convergence Rate of Quasi-Newton Methods on Strongly Convex Functions with Lipschitz Gradient
Publikováno v:
Mathematics, Vol 11, Iss 23, p 4715 (2023)
The main results of the study of the convergence rate of quasi-Newton minimization methods were obtained under the assumption that the method operates in the region of the extremum of the function, where there is a stable quadratic representation of
Externí odkaz:
https://doaj.org/article/610a206c49a5450ea421b166d657d35f
Autor:
Elena Tovbis, Vladimir Krutikov, Predrag Stanimirović, Vladimir Meshechkin, Aleksey Popov, Lev Kazakovtsev
Publikováno v:
Mathematics, Vol 11, Iss 10, p 2264 (2023)
For solving non-smooth multidimensional optimization problems, we present a family of relaxation subgradient methods (RSMs) with a built-in algorithm for finding the descent direction that forms an acute angle with all subgradients in the neighborhoo
Externí odkaz:
https://doaj.org/article/1d7e9df1283b402eb1fcbdc83f05e970
Autor:
Vladimir Krutikov, Elena Tovbis, Anatoly Bykov, Predrag Stanimirovic, Ekaterina Chernova, Lev Kazakovtsev
Publikováno v:
Algorithms, Vol 16, Iss 3, p 148 (2023)
We investigate a solution of a convex programming problem with a strongly convex objective function based on the dual approach. A dual optimization problem has constraints on the positivity of variables. We study the methods and properties of transfo
Externí odkaz:
https://doaj.org/article/e6dfa253d9e44ba2b6db74090874c7c4
Publikováno v:
Mathematics, Vol 10, Iss 21, p 3959 (2022)
In the modern digital economy, optimal decision support systems, as well as machine learning systems, are becoming an integral part of production processes. Artificial neural network training as well as other engineering problems generate such proble
Externí odkaz:
https://doaj.org/article/e9e37a3b32684df49d469d83ffe6d5e4
Autor:
Predrag Stanimirović, Branislav Ivanov, Dragiša Stanujkić, Lev Kazakovtsev, Vladimir Krutikov, Darjan Karabasevic
The influence of neutrosophy in the previous period is constantly growing in many areas of science and technology. Moreover, various applications of the neutrosophic approach have become more common in recent years. Our goal in this research is to ut
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::66aa32fe8600662664a9d2372d31b592
https://doi.org/10.20944/preprints202304.0858.v1
https://doi.org/10.20944/preprints202304.0858.v1
Autor:
Olga Minaeva, Jörg Hollandt, Sergey Anevsky, Dmitriy Senin, Roman Minaev, D. R. Taubert, Vladimir Krutikov
Publikováno v:
Applied optics. 52(21)
The spectral irradiance calibration of tungsten strip and spiral filament lamps applying synchrotron radiation revealed that the spectral irradiance in the wavelength range from 280 to 400 nm can be well approximated by blackbody radiation according
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0cb62dc2802c90f588c6699d67e90ad7
https://pubmed.ncbi.nlm.nih.gov/23872760
https://pubmed.ncbi.nlm.nih.gov/23872760