新疆时时彩开奖号码-重庆时时彩万能投注

EVENTS
Home > EVENTS > Content
Fast Convolution-Type Nonlocal Potential Solvers in Nonlinear Schr?dinger Equation and Lightning Simulation

Lecture:Fast Convolution-Type Nonlocal Potential Solvers in Nonlinear Schr?dinger Equation and Lightning Simulation

Lecturer: Zhang Yong(Professor, under Thousand Young Talents Program, Tianjin University)

Time:16:00-18:00 PM, Sept. 3rd, 2021.

Avenue:Tencent Meeting (ID:394 782 695)

Convolution-type potentials are common and important in many science and engineering fields. Efficient and accurate evaluation of such nonlocal potentials are essential in practical simulations. In this talk, I will focus on those arising from quantum physics/chemistry and lightning-shield protection, including Coulomb, dipolar and Yukawa potential generated by isotropic and anisotropic smooth and fast-decaying density, as well as convolutions defined on a one-dimensional adaptive finite difference grid. The convolution kernel is usually singular or discontinuous at the origin and/or at the far field, and density might be anisotropic, which together present great challenges for numerics in both accuracy and efficiency. The state-of-art fast algorithms include Wavelet based Method(WavM), kernel truncation method(KTM), NonUniform-FFT based method(NUFFT) and Gaussian-Sum based method(GSM). Gaussian-sum/exponential-sum approximation and kernel truncation technique, combined with finite Fourier series and Taylor expansion, finally lead to aO(N log N)fast algorithm achieving spectral accuracy. Applications to NLSE, together with a useful recently-developed sum-of exponential algorithm are reviewed. Tree-algorithm for computing the one-dimensional convolutions in lighting-shield simulation are also covered as the last application.

BIO

Professor Zhang Yong received his Bachelor's Degree from Tianjin University in 2007 and his PhD degree from Tsinghua University in 2012. He worked as a postdoctoral fellow at the Wolfgang Pauli Institute at the University of Vienna in Austria, Rennes I in France, and the Krahn Institute at New York University in the United States. Zhang was rewarded Schrodinger Foundation, supported by the Natural Science Foundation of Austria in July 2015, and was selected into the National "Thousand Young Talents" Program in 2018. His research interests are numerical computation and analysis of partial differential equations, especially the design and application of fast algorithms. So far, he has published more than 20 papers. Major publications includeSIAM Journal on Scientific Computing,SIAM Journal on Applied Mathematics,SIAM Multiscale Modeling and Simulation,Journal of Computational Physics,Mathematics of Computation,Computer Physics Communication and other top journal of computational mathematics.

Welcome!

Organizer and sponsor:Scientific Research Department

School of Sciences

Artificial Intelligence Institute

Institute of Nonlinear Dynamic Systems

Research Center for Mathematical Mechanics

Previous:Dynamics for a Three-Species Predator-Prey Model with Density-Dependent Motilities Next:Multiscale Thermal Transport Management for Sustainable Energy Systems

close

昌邑市| 百家乐的奥秘| 博盈国际| 奇博网上娱乐| 彭阳县| 百家乐官网庄闲筹码| bet365合作计划| 百家乐官网官方网址| 百家乐官网可以出千吗| 百家乐的胜算法| 皇冠百家乐赢钱皇冠| 大发888娱乐真钱游戏 官方| 尤溪县| 真人百家乐平台下载| 顶级赌场官方安卓版手机下载| 真让百家乐官网游戏开户| 百家乐官网平台| 二八杠手法| 百家乐单跳打法| 百家乐筹码片| 大发888直播网| 新锦江百家乐官网娱乐平台| 上市百家乐.评论| 凯里市| 钱隆百家乐官网智能| 顶尖百家乐开户| 大发888娱乐城登录| 百家乐下注稳赢法| 百家乐贴士介绍| 百家乐官网赌博合作| 巴比伦百家乐娱乐城| 百家乐官网破解软件真的有用吗 | 万宝路百家乐的玩法技巧和规则| 百家乐官网庄闲当哪个好| 百家乐官网怎么玩| 百家乐官网缆的打法| 全讯网hg9388.com| 百家乐官网双龙| 大发888开户送58| 凯斯网百家乐官网的玩法技巧和规则 | 如何打百家乐官网的玩法技巧和规则|