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NA Digest, V. 20, # 21

NA Digest Sunday, May 31, 2020 Volume 20 : Issue 21


Today's Editor:

Daniel M. Dunlavy
Sandia National Labs
dmdunla@sandia.gov

Today's Topics: Subscribe, unsubscribe, change address, or for na-digest archives: http://www.netlib.org/na-digest-html/faq.html

Submissions for NA Digest:

http://icl.utk.edu/na-digest/


From: John Stockie jstockie@sfu.ca
Date: May 28, 2020
Subject: Clicker question bank for teaching numerical analysis


We are pleased to announce the release of an open-access resource
consisting of 250+ clicker questions (multiple-choice and true-false)
for use in teaching undergraduate numerical analysis. Clicker polling
is a well-established method for increasing active participation of
students in lectures and has also been associated with improving
students' overall learning experience. Devising good questions can be
a huge challenge, and although extensive collections of clicker
questions are available for introductory courses in calculus and
linear algebra, there is very little available that focuses on
numerical analysis. These clicker questions are written in LaTeX so
that they can be easily presented as slides, or else incorporated into
existing LaTeX lecture notes. The question bank has been released
under the Creative Commons ShareAlike (CC BY-NC-SA) license which
allows anyone free access to use, copy/redistribute, and adapt/remix
the materials. The complete resource can be downloaded from this web
page http://www.sfu.ca/~jstockie/NAclicker/ which includes LaTeX
source code for all questions (and partial solutions), macro
definitions for displaying the questions in various formats (including
beamer and non-beamer slide formats), image files for all plots and
graphics, and the Matlab code used to produce them. This page also
has a link to a preprint which serves as a "how-to guide" of sorts and
also summarizes the results of a student satisfaction survey held in a
"face-to-face" class. With the recent switch in many universities to
on-line learning, instructors may also find these clicker questions a
useful tool for better engaging students in a remote setting. The
question bank is by no means complete and there is clearly room for
improvement in terms of providing more solutions, and expanding the
topics covered. We welcome all comments, corrections and especially
additions to this open educational resource.

John Stockie (jstockie@sfu.ca), Alamgir Hossain, Petra Menz (Math
Department, Simon Fraser University)



From: Pamela Bye pam.bye@ima.org.uk
Date: May 28, 2020
Subject: IMA Early Career Mathematicians, UK, Oct 2020


IMA Early Career Mathematicians' Autumn Conference 2020
Saturday October 24, 2020
University of Glasgow
Glasgow, G12 8QQ, Scotland
https://ima.org.uk/13533/ima-early-career-mathematicians-autumn-conference-2020/

Do you want to discover what your mathematics future could look like?
Are you keen to meet and network with your mathematical peers? Then
you can do so with the IMA! Come along to the 2020 Early Career
Mathematicians' Autumn Conference on Saturday 24th October at the
School of Mathematics and Statistics of the University of Glasgow.

Submissions are welcome on all areas of mathematics and its
applications, as well as correlated subjects (which may include, but
are not limited to, the history of mathematics, diversity and social
activism in science, etc). Submissions are welcome from mathematicians
early in their career, in academia and industry, students and
educators of mathematical sciences, as well as from those with an
interest in the subject. Submissions must be uploaded via
https://my.ima.org.uk at the time of registration. All submissions are
subject to rigorous review before an acceptance decision is made. The
deadline for submission is 31 July 2020. If you have any questions,
please do not hesitate to contact the ECM Committee at ecm@ima.org.uk.


From: Albert S Berahas albertberahas@gmail.com
Date: May 28, 2020
Subject: POSTPONED, MOPTA 2020, Aug 2021


After carefully monitoring the COVID-19 epidemic over the last couple
of months and discussing with the rest of the MOPTA organizing
committee and university officials, we have decided that the best and
only responsible course of action is to postpone MOPTA 2020 to August
2021. This was by no means an easy decision. The tentative date for
MOPTA 2021 is August 2-4, 2021.

The MOPTA-AIMMS competition will proceed as planned but will be
virtual. The finalists will be contacted in the next couple of weeks
and presentations will be on-line and made freely available.

Thank you very much for your understanding.



From: Philipp Neumann philipp.neumann@hsu-hh.de
Date: May 29, 2020
Subject: Computer Scientist Position, High Performance Computing, Hamburg


This permanent position is hosted at the chair for high performance
computing (HPC), Prof. Philipp Neumann, at Helmut-Schmidt-University
Hamburg. Tasks comprise, amongst others,
- development and conduction of HPC-relevant benchmark computations,
- support in the procurement and administration of HPC architectures,
- carrying out numerical simulations,
- supporting/guiding students/researchers in the use of HPC systems.

For inquiries, please contact philipp.neumann@hsu-hh.de. See
https://www.hsu-hh.de/karriere/nichtwissenschaftliches-personal, job
offer MB-1620, for the official job announcement. Applications shall
be sent to personaldezernat@hsu-hh.de until 19 July 2020, mentioning
the reference number MB-1620.


From: Magdalena Thöne Magdalena.Thoene@math.tu-dortmund.de
Date: May 28, 2020
Subject: Tenure-Track Professor Position, Optimization, TU Dortmund

Univ, Germany

The Faculty of Mathematics at TU Dortmund University is seeking to
fill the position of a Professor (W1) with W2 tenure track in
"Optimization" commencing as soon as possible. The successful
candidate will represent the field of "Optimization" in research and
teaching.

TU Dortmund is seeking a scientist holding an excellent PhD and a
personality who is internationally recognized in several areas of
continuous or discrete optimization with relevant international
publications in recognized venues, including those with peer-review.
Relations are expected both to infinite-dimensional optimization as
well as mixed-integer optimization and the willingness to link both
areas. Applicants should complement the research activities of the
Faculty of Mathematics and contribute to interdisciplinary
collaborative research projects within and outside TU Dortmund
University. First experience in raising third-party funds is an
asset. A convincing research statement outlining the applicants
research perspectives is required. An appropriate contribution to the
faculty's curriculum - in the medium term also in German language - is
expected. The present Faculty's study programmes include Mathematics,
Technomathematics, Mathematics and Economics as well as Mathematics
for teaching at schools. The successful candidate will possess social
and leadership skills and be willing to be involved in academic
self-governance.

For detailed information, please visit:
http://www.mathematik.tu-dortmund.de/de/index/aktuelles/meldungen/Ausschreibung-W1-
Optimierung-2020-05-20.html
or http://www.mathematik.tu-dortmund.de

Application deadline: June, 16th, 2020



From: Philipp Neumann philipp.neumann@hsu-hh.de
Date: May 29, 2020
Subject: Researcher Position, Multiscale Computing, Germany


A two-year researcher position (TVoD E13) is to be filled as soon as
possible at the chair for high performance computing (Prof. Philipp
Neumann), Helmut-Schmidt-University Hamburg. The project focuses on
the integration of error estimators and fault tolerance into the
HPC-aware molecular-continuum coupling software MaMiCo. For inquiries,
please contact Philipp Neumann, philipp.neumann@hsu-hh.de.


From: FABRÍCIO SIMEONI DE SOUSA f.s.sousa@usp.br
Date: May 27, 2020
Subject: Postdoc Position, Computational Fluid Dynamics


Summary: The Center for Research in Mathematical Sciences Applied to
Industry (CEPID-CeMEAI) at University of Sao Paulo opens a
post-doctoral research position in Computational Fluid Dynamics. The
selected candidate will work at Institute of Mathematical and Computer
Sciences of the University of Sao Paulo in Sao Carlos/SP, Brazil. Sao
Paulo Research Foundation provides the financial support with a
monthly salary of BRL 7.373,10 (after taxes). Financial support can
also be provided to cover transportation expenses to move to Sao
Carlos - Brazil. An extra grant is also provided to cover
participation in highly relevant conferences and workshops, as well as
research trips (limited to 15% of the annual amount of the
fellowship). The position is for one year. Project: Multiscale
preconditioners for the simulation of petroleum reservoirs Supervisor:
Fabricio Simeoni de Sousa Description: The simulation of large oil
reservoirs, such as those found in the pre-salt layers of the
Brazilian coast, require the use of computational meshes of billions
of elements, a scale that cannot be handled efficiently with current
commercial simulators. The use of multiscale domain decomposition
methods have shown great scalability potential that allows an
efficient parallelization of meshes with such order of
magnitude. Among the several methods found in the literature, the
Multiscale Robin Coupled Method (MRCM) has become a reference in the
area thanks to great flexibility introduced by the Robin boundary
conditions and the independent choice of interface spaces. The
present project aims the development and implementation of an
efficient preconditioner based on the MRCM in a high performance
computing environment taking advantage of its modern hybrid multicore
architecture. The final goal is to accelerate large-scale simulators
capable of handling meshes with billions of elements, required for the
accurate simulation of large petroleum reservoirs. Professor Sousa
will lead the research, jointly with his research group.
Requirements: Applicants should have PhD in Applied Mathematics,
Computer Sciences, or related fields, with experience in Computational
Fluid Dynamics. Experience in the implementation of multiscale methods
for reservoir simulation is required. We also require experience with
order reduction methods for subsurface flows problems and experience
in high performance computing with C/C++ languages. At least two
scientific journal paper published in the last 5 years in the field of
multiscale methods for reservoir simulation are required. Candidates
must have got their PhD in the last 5 years to be considered for this
position. Application: Please send your application before July 15,
2020 to: Dr. Fabricio Simeoni de Sousa (f.s.sousa@usp.br). Please
indicate "CEPID Postdoc - Multiscale Methods" in the subject
line. Applications should include curriculum vitae, statement of
research interests and contact information of two researchers for
recommendation letters (only PDF files). Contract Condition: Grant
from FAPESP under the Research, Innovation and Dissemination Centers
(RIDC-CeMEAI) (http://www.fapesp.br/en/17,
http://www.cemeai.icmc.usp.br/).


From: Jack Dongarra dongarra@icl.utk.edu
Date: May 28, 2020
Subject: Postdoc and Research Scientist Positions, Numerical Linear Algebra


Postdoc and research scientist positions in numerical linear algebra

The Innovative Computing Laboratory (ICL, http://icl.utk.edu/) at the
University of Tennessee is looking for bright, motivated researchers
to join our team. The primary duties of this position are to
participate in the design, development, and maintenance of numerical
software libraries for solving linear algebra problems on large
distributed memory machines with multicore processors and hardware
accelerators; to help write research papers documenting research
findings; to present the team's work at conferences; and to help lead
students and a research team in their research endeavors. There will
be opportunities for publication, travel, and high profile
professional networking in academia, labs, and industry.

Joining our team will offer qualified candidates exciting career
opportunities, such as participation in the Exascale Computing Project
(ECP) by the U.S. Department of Energy. Projects include, among
others:

SLATE: distributed, GPU-accelerated dense linear algebra
http://icl.utk.edu/slate/

PEEKS: GPU-accelerated sparse iterative methods
http://icl.utk.edu/peeks/

heFFTe: distributed, GPU-accelerated 3D FFT
http://icl.utk.edu/fft/

BALLISTIC: modernizing Sca/LAPACK

We encourage both recent PhD graduates and seasoned HPC veterans to
apply. For more information, see "Research Position in Numerical
Linear Algebra" at http://www.icl.utk.edu/jobs

For consideration, send CV and contact information for three
references to Prof. Jack Dongarra (dongarra@icl.utk.edu).



From: Matteo Giacomini matteo.giacomini@upc.edu
Date: May 26, 2020
Subject: PhD Position, CSE, UPC-CIMNE Barcelona


One fully-funded PhD fellowship is available in Prof. Antonio Huerta's
group Innovative Algorithms for Fast Accurate Computing, within the
Laboratori de Calcul Numeric (LaCaN) at Universitat Politecnica de
Catalunya and the International Centre for Numerical Methods in
Engineering (CIMNE) in Barcelona.

The research group is active on the development of computational
methodologies for artificial decision-making strategies in credible
and high- fidelity simulation of problems of industrial interest,
including: high-order discretisation of time-dependent PDEs, robust
finite volume methods for large-scale problems, reduced order models
for parametrised problems, machine learning in computational science
and engineering, with applications to solids, fluids and
electromagnetics phenomena. The successful candidate will integrate
an active research team under the supervision of Prof. Antonio Huerta
(UPC) and Dr. Matteo Giacomini (CIMNE) and collaborate with their
research network, featuring academic and industrial partners, in
Europe and worldwide. She/He is expected to develop high-quality
research in computational science and engineering, applied to specific
fields of interests such as automotive, aeronautical and aerospace
engineering, material and energy science. Requirements: MSc in
applied mathematics, engineering or related discipline; knowledge of
numerical methods for the approximation of PDEs, with special emphasis
on the finite element method; good programming skills (Matlab and/or
Fortran/C++); good written and oral communication skills in English;
hard-working and enthusiastic attitude. The fellowship is available
for three years starting October 2020, at the latest. Deadline for
applications: June 14th, 2020 at noon (Barcelona time).

https://www.cimne.com/vnews/11029/vac-2020-36---severo-ochoa-phd-position-in-
innovative-algorithms-for-fast-accurate-computing



From: Kent-Andre Mardal kent-and@math.uio.no
Date: May 28, 2020
Subject: PhD Position, Reduced Order Modelling, Univ of Oslo/IFE, Norway


A PhD position is available at the Institute for Energy Technology
(IFE) in collaboration with the University of Oslo (UiO). The topic is
Reduced Order Modelling for complex material processes with industrial
relevance. Of relevance to this call are experience with tools like
the software library FEniCS, a finite element library and its reduced
order toolbox RBniCS.

After the completion of the Ph.D., IFE envisages to offer a Postdoc
position followed by a permanent position to the candidate.

More details are available here:
https://201512.webcruiter.no/Main/Recruit/Public/4241750572



From: Heike Sill heike.sill@wias-berlin.de
Date: May 28, 2020
Subject: PhD Position, WIAS, Germany


WIAS invites in the Research Group "Nonsmooth Variational Problems and
Operator Equations" (Head: Prof. Dr. M. Hintermuller) applications for
a PhD Student Position (f/m/d) (Ref. 20/10). to be filled at the
earliest possible date. The position is associated with the research
project "Restricted Mean-Field games: Analysis and Algorithms" within
the DFG Priority Program SPP1962 "Non-smooth systems and
complementarity problems with distributed parameters: simulation and
multistage optimization". The aim of the post is to carry out
research in the field of game theory with partial differential
equations and application. Furthermore, research results will be
published in scientific jour-nals, presented at conferences and a
dissertation will be written in the above mentioned main topic.
Prerequisite: A scientifically oriented person with an above-average
master's/diploma degree in mathematics with a focus on applied
mathematics; knowledge in the field of theory or nu-merics of partial
differential equations and in optimization or game
theory. Furthermore, the holder of the position is willing to
cooperate with users and subject-related colleagues.

See here for more information: https://short.sg/j/6848656


From: Dongbin Xiu xiu.16@osu.edu
Date: May 26, 2020
Subject: CFP, Machine Learning for Modeling and Computing


The Journal of Machine Learning for Modeling and Computing (JMLMC) is
now open for manuscript submission for Issue #2. (Issue #1 is in
production on schedule.)

Submission deadline: June 30, 2020
Decision expected by: September 30, 2020
Publication date: November 2020

Submission site: http://www.j-mlmc.com

Aims and Scope: The Journal of Machine Learning for Modeling and
Computing (JMLMC) focuses on the study of machine learning methods for
modeling and scientific computing. The scope of the journal includes,
but is not limited to, research of the following types: (1) the use of
machine learning techniques to model real-world problems such as
physical systems, social sciences, biology, etc.; (2) the development
of novel numerical strategies, in conjunction of machine learning
methods, to facilitate practical computation; and (3) the fundamental
mathematical and numerical analysis for understanding machine learning
methods.

JMLMC is operated on deadlines. For each publishing issue there is a
submission deadline. Papers submitted before the deadline will be
considered for the current issues (otherwise for the next issue). All
submitted papers will be receive the official decision prior to the
decision deadline, which is set as 3 months after the submission
deadline. This is to ensure the fast transition for the fast growing
and fast paced community.



From: Duan Chen dchen10@uncc.edu
Date: May 26, 2020
Subject: CFP, Special Issue, Optimization and ML for Biological Data Analysis


The journal Computational and Mathematical Biophysics (CMB) will
publish a special issue entitled "Optimization and Machine Learning
Algorithms for Biological Data Analysis". CMB
(https://www.degruyter.com/view/journals/cmb/cmb-overview.xml) is a
recently established journal, whose aim is to promote the development
of theoretical formulations, mathematical models, numerical
algorithms, and computational techniques for elucidating molecular
mechanisms and for solving open problems at the forefront of molecular
bioscience and biophysics. Original papers and high-quality review
articles on the topics listed below are solicited for this special
issue.

Potential topics include using optimization and machine learning
algorithms to study, but not limited to: Molecular data analysis;
Transcriptomics data analysis; Genomic data analysis; Image data
analysis; Algorithms and applications of the above topics.

Manuscript Due: August 1, 2020;
First Round of Reviews: November 15, 2020;
Anticipated Publication Date: January 15, 2021

Guest editors: Dr. Kang-Ling Liao (Leading), University of Manitoba,
CA; Dr. Haizhao Yang, yang1863@purdue.edu, Purdue University, USA;
Dr. Xue Wang, wang.xue@mayo.edu, Mayo Foundation for medical education
and research, USA



From: Computational Methods in Applied Mathematics (CMAM) cmam@degruyter.com
Date: May 30, 2020
Subject: Contents, Computational Methods in Applied Mathematics, 2020 (2)


COMPUTATIONAL METHODS IN APPLIED MATHEMATICS (2020), No 2

A Fully-Mixed Finite Element Method for the n-Dimensional Boussinesq
Problem with Temperature-Dependent Parameters, Javier A. Almonacid,
Gabriel N. Gatica (Free access)

Asymptotically Exact A Posteriori Error Analysis for the Mixed Laplace
Eigenvalue Problem, Fleurianne Bertrand, Daniele Boffi, Rolf Stenberg

A Hybrid High-Order Discretization Method for Nonlinear
Poroelasticity, Michele Botti, Daniele A. Di Pietro, Pierre Sochala

Stable Non-symmetric Coupling of the Finite Volume Method and the
Boundary Element Method for Convection-Dominated Parabolic-Elliptic
Interface Problems, Christoph Erath, Robert Schorr

Crouzeix-Raviart Finite Element Approximation for the Parabolic
Obstacle Problem, Thirupathi Gudi, Papri Majumder

Reliable Numerical Solution of a Class of Nonlinear Elliptic Problems
Generated by the Poisson-Boltzmann Equation, Johannes Kraus, Svetoslav
Nakov, Sergey I. Repin (Free access)

Simplified Iteratively Regularized Gauss-Newton Method in Banach
Spaces Under a General Source Condition, Pallavi Mahale, Sharad Kumar
Dixit

Convergence and Preconditioning of Inexact Inverse Subspace Iteration
for Generalized Eigenvalue Problems, Rayan Nasser, Miloud Sadkane

Composite Finite Element Approximation for Parabolic Problems in
Nonconvex Polygonal Domains, Tamal Pramanick, Rajen Kumar Sinha

A Nitsche-eXtended Finite Element Method for Distributed Optimal
Control Problems of Elliptic Interface Equations, Tao Wang, Chaochao
Yang, Xiaoping Xie



From: Siberian Journal of Numerical Mathematics sibjnm@sscc.ru
Date: May 26, 2020
Subject: Contents, Siberian Journal of Numerical Mathematics, 23 (2)


CONTENTS, Siberian Journal of Numerical Mathematics
Volume 23, No. 2, 2020

For information to contributors and about subscriptions
see http://www.sscc.ru/SibJNM/

MEMORY of Kelmanov Alexander Vasilievich 04.25.1952 - 12.01.2019 (in
Russian)

Gorbenko N.I., Il'in V.P., Krylov A.M., Frumin L.L., The numerical
solution of the direct Zakharov--Shabat scattering problem (in
Russian)

Kel'manov A.V., Mikhailova L.V., Ruzankin P.S., Khamidullin S.A., The
minimization problem for the sum of weighted convolution differences:
the case of a given number of elements in the sum (in Russian)

Kulikov I.M., The use of the piecewise parabolic method on a local
stencil for constructing a low dissipation of a numerical solution
scheme for mathematical modeling of special relativistic hydrodynamic
flows (in Russian)

Marchuk An.G., Moskalensky E.D., A family of solutions of the
two-dimensional eikonal equation (in Russian)

Penenko A.V., Salimova A.B., Source indentification for the
Smoluchowski equation using an ensemble of the adjoint equation
solutions (in Russian)

Surov V.S., To calculating heat-conducting vapor--gas--droplet mixture
flows (in Russian)

Tanana V.P., On reducing the inverse boundary value problem to the
synthesis of two ill-posed problems and their solution (in Russian)


End of Digest
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