Research-A posteriori error estimation for solutions of ill-posed problems

Research

Computational & Applied Math Seminar

A posteriori error estimation for solutions of ill-posed problems

Speaker: Anatoly Yagola (Moscow State University)
Time: Apr 26, 2021, 16:00-17:00
Location: Zoom: 643 7712 8285 Passcode：210426

Abstract

In order to calculate a priori or a posteriori error estimates for solutions of an ill-posed operator equation with an injective operator we need to describe a set of approximate solutions that contains an exact solution. After that we have to calculate a diameter of this set or maximal distance from a fixed approximate solution to any element of this set. We will describe different approaches for constructing a posteriori error estimates.