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JOURNALS // Doklady Rossijskoj Akademii Nauk. Mathematika, Informatika, Processy Upravlenia // Archive

Dokl. RAN. Math. Inf. Proc. Upr., 2020 Volume 494, Pages 17–20 (Mi danma109)

This article is cited in 1 paper

MATHEMATICS

Two-stage method for solving systems of nonlinear equations and its applications to the inverse atmospheric sounding problem

V. V. Vasinab, G. G. Skorikab

a N.N. Krasovskii Institute of Mathematics and Mechanics, Ural Branch of the Russian Academy of Sciences, Yekaterinburg, Russian Federation
b Ural Federal University named after the First President of Russia B. N. Yeltsin, Yekaterinburg, Russian Federation

Abstract: For an overdetermined system of nonlinear equations, a two-stage method is suggested for constructing an error-stable approximate solution. The first stage consists in constructing a regularized set of approximate solutions for finding normal quasi-solutions of the original system. At the second stage, the regularized quasi-solutions are approximated using an iterative process based on square approximation of the Tikhonov functional and a prox-method. For this Newton-type method, a convergence theorem is proved and the Fejér property of the iterations is established. Additionally, the two-stage method is applied to the inverse problem of reconstructing heavy water (HDO) in the atmosphere from infrared spectra of solar light transmission.

Keywords: nonlinear system, regularization, iterative process, infrared spectrum, atmospheric remote sounding, HDO retrieval.

UDC: 517.988.68

Received: 04.06.2020
Revised: 04.06.2020
Accepted: 16.07.2020

DOI: 10.31857/S2686954320050458


 English version:
Doklady Mathematics, 2020, 102:2, 367–370

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© Steklov Math. Inst. of RAS, 2024