[dune-pdelab] CMAWA special issue on open-source numerical solver

[Fei Xu]

Dear DUNE community,

Computers & Mathematics with Applications (Elsevier, current impact factor
1.860) will launch a special issue dedicated to open-source numerical
solvers for partial differential equations (PDEs) co-edited by Qingang
Xiong (Senior Scientist, General Motors, USA), Vadym Aizinger (Senior
Scientist, Alfred Wegener Institute for Polar and Marine Research,
Germany), Fei Xu (R&D Engineer, Ansys Inc, USA), and Guillaume Ducrozet
(Associate Professor, Ecole Centrale de Nantes, France).
The primary purpose of this special issue is to provide an overview of the
progress in this rapidly developing area and to identify current trends and
near-term prospects in connection with the algorithm design, theoretical
development, and various areas of application of open-source software for
PDEs. Our goal is to let authors focus on the software design, algorithms,
applications and future prospects of open source PDE solvers. Articles
focusing on these topics are usually very difficult to publish in refereed
journals in either applied mathematics, or engineering, or computer
science. In addition, we attempt to facilitate better communication between
the authors and the users of such packages by providing the developers with
a forum to present their work and supplying an up-to-date list of open
source PDE solvers.
Major numerical methods covered in this special issues include, but not
limited to, finite difference methods, finite element methods, finite
volume methods, spectral methods, meshfree/meshless methods (e.g. LBM and
SPH), gradient discretization methods, domain decomposition methods, time
discretization methods, as well as multigrid methods (in conjunction with
spatial discretization).
Computers & Mathematics with Applications (Elsevier, current impact factor
1.860) will launch a special issue dedicated to open-source numerical
solvers for partial differential equations (PDEs) co-edited by Qingang
Xiong (Senior Scientist, General Motors, USA), Vadym Aizinger (Senior
Scientist, Alfred Wegener Institute for Polar and Marine Research,
Germany), Fei Xu (R&D Engineer, Ansys Inc, USA), and Guillaume Ducrozet
(Associate Professor, Ecole Centrale de Nantes, France).
The primary purpose of this special issue is to provide an overview of the
progress in this rapidly developing area and to identify current trends and
near-term prospects in connection with the algorithm design, theoretical
development, and various areas of application of open-source software for
PDEs. Our goal is to let authors focus on the software design, algorithms,
applications and future prospects of open source PDE solvers. Articles
focusing on these topics are usually very difficult to publish in refereed
journals in either applied mathematics, or engineering, or computer
science. In addition, we attempt to facilitate better communication between
the authors and the users of such packages by providing the developers with
a forum to present their work and supplying an up-to-date list of open
source PDE solvers.
Major numerical methods covered in this special issues include, but not
limited to, finite difference methods, finite element methods, finite
volume methods, spectral methods, meshfree/meshless methods (e.g. LBM and
SPH), gradient discretization methods, domain decomposition methods, time
discretization methods, as well as multigrid methods (in conjunction with
spatial discretization).
The guest editors of this special issue invite authors of open-source
packages interested in having their package listed in the editorial as well
as the potential contributors to the special issue to fill out by November
30th a short information sheet (https://goo.gl/forms/4LdrD3BCVGtMAZef1).
Please note that, required by the journal, a printed published paper must
contain at least 15 pages. The estimated manuscript submission deadline is
June 30, 2019. The guest editors encourage you to help spreading this "Call
for Papers" to your colleagues and collaborators active in this area.

Thanks and best regards,
-- 
*Fei Xu*
R&D Engineer II
*ANSYS*, Inc.
fei.xu at ansys.com
Tel: 512.687.5010
www.ansys.com

---------------------------------------------------------------------------------------------------

The information transmitted is intended only for the person or entity to
which it is addressed and may contain confidential and/or privileged
material. Any review, retransmission, dissemination or other use of, or
taking of any action in reliance upon, this information by persons or
entities other than the intended recipient is prohibited. If you received
this in error, please contact the sender and delete the material from any
computer.
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <https://lists.dune-project.org/pipermail/dune-pdelab/attachments/20181001/9e014e75/attachment.htm>