报告人:陈亮(九江学院)
报告时间:腾讯会议:707-552-414
报告地点:2024年11月10日(星期日)19:00-20:00
报告摘要:We introduce a novel random integration algorithm that enjoys high convergence order for functions characterized by sparse frequencies or rapidly decaying Fourier coefficients. Specifically, for integration in periodic isotropic Sobolev space and the isotropic Sobolev space with compact support, our approach attains a nearly optimal root mean square error (RMSE) bound. In contrast to previous nearly optimal
algorithms, our method exhibits polynomial tractability. Our integration algorithm
also e
报告人简介:
陈亮,2019年博士毕业于中山大学,目前就职于九江学院。主要从事高维函数逼近理论的研究,已在 Inverse Problems, Journal of Approximation Theory等期刊发表学术论文多篇,现主持国家自然科学地区基金一项。