Preface

The opening of the eleventh International Youth Scientific School-Conference "Theory and Numerical Methods for solving Inverse and ill-posed Problems" was held on August 26, 2019 at Novosibirsk State University. The first ten school-conferences, held from 2009 to 2018, showed the relevance and scientific significance of the chosen subject [1,2,3]. Over the past years, researchers, graduate students and undergraduates from Russia, Belarus, Ukraine, Kazakhstan, Uzbekistan, Kyrgyzstan, as well as from China, the USA, Germany, France, Italy, Japan, the UK, Brazil, Malaysia took part in the school-conferences. For 10 years, representatives of 78 universities, 134 research institutes and more than 20 companies (Total, Baker-Hughes, Schlumberger, Rosneft and others) participated actively at school-conferences. The Conference continued until September 4. The participants were very interested in the reports of academicians S. K. Godunov (Sobolev Institute of Mathematics, Novosibirsk), M. A. Guzev (Institute of Applied Mathematics, Vladivostok), I. A. Taimanov (Sobolev Institute of Mathematics, Novosibirsk), E. E. Tyrtyshnikov (Marchuk Institute of Numerical Mathematics, Moscow), corresponding members of the RAS V.V. Vasin (Krasovsky Institute of Mathematics and Mechanics, Ekaterinburg), S. I. Kabanikhin, G. A. Mikhailov (Institute of Computational Mathematics and Mathematical Geophysics, Novosibirsk ), V. G. Romanov (Sobolev Institute of Mathematics, Novosibirsk).

International Conference «Marchuk Scientific Readings 2021» (MSR-2021)

Preface These Conference Proceedings contain the selected papers of the International Conference «Marchuk Scientific Readings 2021» (MSR-2021) held on October 4 - 8, 2021, in Akademgorodok, Novosibirsk, Russia. The purpose of the «Marchuk Scientific Readings» conference series is to gather specialists in numerical analysis, applied mathematics, mathematical modeling, computational technologies, information systems, artificial intelligence, and machine learning to discuss, identify and systematize current results, applications, and promising directions in computational mathematics and computer science. Due to the risk of spreading coronavirus infection, the meeting took place virtually. The organizers were located in the Institute of Computational Mathematics and Mathematical Geophysics SB RAS (Novosibirsk, Russia). Morning sessions were devoted to the conference sections’ invited oral (20 minutes) and oral (15 minutes) presentations. The Plenary talks (30 minutes) were delivered on the afternoon sessions. Within the timeframe of a talk, there was a possibility to ask and answer several questions from the audience. Technologically, the meeting was carried out on the Zoom platform. Plenary talks were broadcast on youtube.com. This conference was the second one carried out with the help of the Zoom platform, and most of the technical issues were already solved in the previous year. In pandemic conditions, the virtual conference seems to be the most appropriate format to share the research results without exposing the community to the risk of infection. List of Program committee is available in this pdf.

Peer review declaration

All papers published in this volume of Journal of Physics: Conference Series have been peer reviewed through processes administered by the Editors. Reviews were conducted by expert referees to the professional and scientific standards expected of a proceedings journal published by IOP Publishing. • Type of peer review: Single-blind • Conference submission management system: “Conference” Information system (conf.nsc.ru) developed by the Federal Research Center for Information and Computational Technologies (former Institute of Computational Technologies SB RAS). The proceedings papers were submitted via email to the organizing committee. • Number of submissions received: 82 • Number of submissions sent for review: 82 • Number of submissions accepted: 75 • Acceptance Rate (Number of Submissions Accepted/Number of Submissions Received X 100): 91 • Average number of reviews per paper: 1.43 • Total number of reviewers involved: 78 • Any additional info on review process: The submissions were handled by the program committee and redirected to the corresponding conference section chairs. The conference section chairs were sending the initial review requests to the reviewers. The program committee handled the subsequent review process, including sending the papers to the authors for corrections and sending the modified papers to the reviewers for the corrections’ approval. • Contact person for queries: Name : Alexey Penenko Affiliation: Institute of Computational Mathematics and Mathematical Geophysics SB RAS, ICM&MG SB RAS, prospect Akademika Lavrentyeva 6, 630090, Novosibirsk, Russia Email : [email protected]

A MODULE OF A GEOINFORMATION SYSTEM BASED ON NUMERICAL MODELING OF INVERSE PROBLEMS OF GEOCHEMISTRY BY REGULARIZING ALGORITHMS

Currently, due to the rapid development of computer technology in geology, methods and approaches of scientific visualization based on additional data analysis are being intensively developed. The general concept is that the main data field on the daily surface and additional conditions are set at the input. Further, methods of mathematical geophysics are used for their analysis and processing, as a result of which new information is obtained for deep surveys. Then, in the information system, visualization tools are applied to the new information received and to the main data field. Thus, the information system is based on the synthesis of visual representation methods and methods of mathematical geophysics, computational mathematics from different branches of knowledge. This paper presents a description of the software module of the geoinformation system, based on the methods of intelligent detection of anomalies of hidden deposits, for deep predictive and search modeling of deposits. The functioning of the software module is based on the application of the theory of inverse problems of mathematical geophysics with elements of artificial intelligence using geological data on the earth's surface, geophysical measurements and geochemical analyses as input data. The program module for the inverse problem of the continuation of potential fields in the direction of disturbing masses is used for real data of a specific mineral deposit.