报告承办单位: 数学与统计学院

报告题目:  A non-iterative method for recovering an inclusion in an unbounded Stokes-Brinkman flow.

报告内容:  In this talk, we focus on the inverse problem of recovering an inclusion immersed in the unbounded viscous flow which is governed by the Stokes-Brinkman equations. The well-posedness of the model problem is first proved by employing the boundary integral equation method. Then a novel issue of the linear sampling method (LSM) and factorization method (FM) are proposed for reconstructing the shape and location of the inclusion only from the exterior velocity measurements, yielding a fast imaging algorithm. Numerical examples are presented to demonstrate the feasibility and effectiveness of the reduced inversion algorithm.

报告人姓名:  刘梦

报告人所在单位: 西安交通大学

报告人职称/职务及学术头衔:   博士

报告时间:  2021年11月26日 14:40-15:20

报告方式:  腾讯会议ID: 838 2530 8952

报告人简介:  刘梦，西安交通大学数学与统计学院在读博士。研究兴趣集中在流体力学中的反问题的唯一性及数值方法。