【期刊信息】Call for Papers for Special Issue: “Recent Advances in Computational Methods for PDEs and Applications”

【期刊信息】Call for Papers for Special Issue: “Recent Advances in Computational Methods for PDEs and Applications”

Year:    2021

CAM-Net Digest, Vol. 18 (2021), Iss. 6 : p. 7

Abstract

URL: https://www.journals.elsevier.com/results-in-applied-mathematics/call-for-papers/com-
putational-methods

 
The Guest Editors: 

Susanne Brenner: Louisiana State University;
Jan Hesthaven: Ecole Polytechnique Federale de Lausanne;
Jichun Li: University of Nevada Las Vegas.
 
Results in Applied Mathematics (RINAM) are now inviting original articles that reflect the recent advances in numerical methods developed for solving various partial differential equations (PDEs) and their applications in various areas of science and engineering. Possible topics of interest include (but not limited to): finite element methods, meshless methods, deep learning and neural networks for PDEs, numerical analysis, optimal control of PDEs, modeling of complex fluids, wave propagation in complex media, interface problems, uncertainty quantification, etc.
 
RINAM is a gold open access journal and the Article Publishing Charge (APC) will be waived for this special issue. Manuscripts should be submitted online by registering and logging in to the Editorial Manager site: 
https://www.editorialmanager.com/rinam/default.aspx
 
The deadline for submission for this special issue is July 31, 2021.
 
**Important: When you submit your paper, please choose “RINAM Special” from the dropdown menu to distinguish from other submissions.
 
All submitted papers will go through the normal review process. We hope to be done with all reviews by Oct. 31, 2021. The special issue is expected to be published in Nov. 2021 (to be confirmed later).
 
We look forward to receiving your paper!

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Journal Article Details

Publisher Name:    Global Science Press

Language:    Chinese

DOI:    https://doi.org/2021-CAM-19714

CAM-Net Digest, Vol. 18 (2021), Iss. 6 : p. 7

Published online:    2021-01

AMS Subject Headings:    Global Science Press

Copyright:    COPYRIGHT: © Global Science Press

Pages:    1

Keywords: