Journal of Inverse and Ill-posed Problems | 2019
Theory and numerical methods for solving inverse and ill-posed problems
Abstract
The eleventh international annual scientific school-conference “Theory and numerical methods for solving inverse and ill-posed problems” will be held in August 26–September 4, 2019. It will be organized by Novosibirsk State University and Institute of Computational Mathematics and Mathematical Geophysics of the SB RAS. The first ten school-conferences, held from 2009 to 2018, showed the relevance and scientific significance of the chosen subject. Over the past years, researchers, graduate students and undergraduates from Russia, Belarus, Ukraine, Kazakhstan, Uzbekistan, Kyrgyzstan, aswell as fromChina, USA, Germany, France, Italy, Japan, UK, Brazil, Malaysia took part in the school-conferences. For ten years, representatives of 78 universities, 134 research institutes and more than twenty companies (Total, Baker–Hughes, Schlumberger, Rosneft and others) participated actively at school-conferences. The scientific program of the school-conference usually consists of theory of inverse and ill-posed problems and regularizationmethods; numerical methods for solving inverse problems of acoustics, electrodynamics, geophysics, tomography, medicine, biology, finance and social processes. Several new sections are planned to be included to the program: high performance and parallel computing in intellectual big data analysis, machine learning and artificial intelligence, visualization, natureinspired algorithms. The importance of the conference topics is due to the active development of the theory and numerical methods for solving inverse and ill-posed problems and their applications. According to data for 2018, more than 10,000 articles of this area have been added to Scopus over the past three years. The use of modern achievements of fundamental mathematics (algebra, geometry, functional analysis, mathematical physics, computationalmathematics), interdisciplinarity and diversity of applications is a characteristic feature of the theory and numerical methods for solving inverse problems.