会议信息:International Workshop on "Numerical Methods for Fractionalerivative Problems: Singularities and Fast Algorithms", Beijing CSRC, 19 & 20 May
Year: 2017
CAM-Net Digest, Vol. 14 (2017), Iss. 8 : p. 9
Abstract
A 2-day Workshop on "Numerical Methods for Fractional-derivative Problems: Singularities and Fast Algorithms"will be held at Beijing Computational Science Research Center during 19 and 20 May.
Objective: In recent years there has been an explosion of research activity in numerical methods for fractional-derivative (FD) differential equations. Much of the published work has been concerned with solutions to FD problems that are globally smooth --- but simple examples show that for given smooth data, the solutions to FD problems typically have weak singularities at some boundary of the domain, so globally smooth solutions are very unusual.
This workshop will focus on the numerical solution of more typical (and more difficult) FD problems whose solutions exhibit weak singularities. As the definitions of fractional derivatives are nonlocal, there is also the issue of how to avoid excessive memory storage and expensive calculations in their implementation. Thus there are two objectives to this research:
(i) the design and analysis of methods (finite difference, finite element, ...) for FD problems;
(ii) the efficient computation of numerical solutions.
A very small number of slots for giving talks at the Workshop are still available.
Deadline for registration and abstract submission: 8 May
For full information see http://www.csrc.ac.cn/en/event/workshop/2017-03-30/71.html
Organisers at Beijing CSRC: Martin Stynes, Jiwei Zhang and Zhimin Zhang
You do not have full access to this article.
Already a Subscriber? Sign in as an individual or via your institution
Journal Article Details
Publisher Name: Global Science Press
Language: Multiple languages
DOI: https://doi.org/2017-CAM-14381
CAM-Net Digest, Vol. 14 (2017), Iss. 8 : p. 9
Published online: 2017-01
AMS Subject Headings: Global Science Press
Copyright: COPYRIGHT: © Global Science Press
Pages: 1