应pc加拿大预测准确率邀请，南方科技大学杨志鹏博士将于2023年10月24 日作线下学术报告，欢迎全校师生参加。

报告题目:Bayesian Approach to Inverse Time-harmonicAcoustic Obstacle Scattering with PhaselessFar-filedData.

时 间：2023年 10月24日（星期二）08：00-09:00

地 点：理工楼631

报告摘要：This talk concerns the Bayesian approach to inverse acoustic scattering problems of inferring the position and shape of a sound-soft obstacle from phaseless far-field data. Given the total number of obstacle parameters, the Markov chain Monte Carlo (MCMC) method is employed to reconstruct the boundary of the obstacle in a high-dimensional space, which usually leads to slow convergence and prohibitively high computational cost. We use the Gibbs sampling and preconditioned Crank-Nicolson (pCN) algorithm with random proposal variance to improve the convergence rate, and design an effective strategy for the surrogate model constructed by the generalized polynomial chaos (gPC) method to reduce the computational cost of MCMC. This talk is based on the joint works with Ju Ming, Xinping Gui andGuanghui Hu.

欢迎广大师生光临!

报告人简介

杨志鹏博士本科毕业于pc加拿大预测准确率，之后在北京计算科学研究中心取得计算数学专业的博士学位，目前在南方科技大学李景治教授反问题课题组从事博士后岗位的教学科研工作。主要致力于带随机输入的偏微分方程的低耗时求解，贝叶斯框架下的反散射问题，以及偏微分方程的系数反问题等研究工作，目前已在 Inverse Problems、Computer Methods in Applied Mechanics and Engineering、Journal of Scientific Computing、SIAM Journal on Imaging Sciences 等杂志发表多篇文章。

甘肃应用数学中心

pc加拿大预测准确率

萃英学院

2023年10月20日