NA Digest Monday, August 31, 2020 Volume 20 : Issue 33


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: Kamryn Scrivens scrivens@siam.org
Date: August 26, 2020
Subject: New Book, Observability: A New Theory Based on the Group of Invariance



Check out SIAM's new book, Observability: A New Theory Based on the
Group of Invariance by Agostino Martinelli.
https://bookstore.siam.org/dc37

This book is about nonlinear observability. It provides a modern
theory of observability based on a new paradigm borrowed from
theoretical physics and the mathematical foundation of that
paradigm. In the case of observability, this framework takes into
account the group of invariance that is inherent to the concept of
observability, allowing the reader to reach an intuitive derivation of
significant results in the literature of control theory.

2020 / xiv + 262 pages / Softcover / 978-1-611976-24-3 / DC37
List Price: $84.00
SIAM Member Price: $58.80

Link to the book: https://bookstore.siam.org/dc37
Browse more SIAM books by visiting: https://bookstore.siam.org


From: Communications in NLA communicationsinnla@gmail.com

Date: August 30, 2020
Subject: Communications in NLA, ONLINE, Mondays


The online seminar series "Communications in NLA" will soon start and
take place every Monday at 15:00 CEST, starting from September 7,
2020. Each session will consist of 2-3 talks on different topics in
Numerical Linear Algebra and will be broadcast live via Zoom and
YouTube.

Please visit https://sites.google.com/view/commnla/home in order to
register as a listener or apply as a speaker.

We are in particular welcoming applications from early career
researchers who seek an opportunity to present their work despite the
many cancelled conferences this year.


From: Karol Mikula karol.mikula@gmail.com
Date: August 26, 2020
Subject: ALGORITMY 2020, ONLINE, Sep 2020


It is still possible to register for passive online participation in
the conference. Deadline is September 3, 2020. See
http://www.math.sk/alg2020/


From: Scott Field sfield@umassd.edu
Date: August 26, 2020
Subject: Computational Relativity, ONLINE, Sep 2020


We would like to invite you to the first workshop as part of the
semester-long program "Advances in Computational Relativity".

This first workshop will provide an overview of both state-of-the-art
and open challenges drawing from multiple themes (theory, analysis of
the equations, computation, and data analysis) within the broad
context of Einstein's general relativity theory. Many of the talks
will focus on the computation of gravitational radiation from compact
bodies using numerical and analytical approaches. Speakers will draw
from physics, astronomy, and applied and pure mathematics.

The workshop will feature computational tutorials on gravitational
waveform catalogs, software for numerically solving the Einstein and
the relativistic magneto-hydrodynamic equations, Black Hole
Perturbation Toolkit, and symbolic tensor computations with xAct.

Due to COVID-19, this workshop will be held online.

Please apply using the link "Apply with Cube" at the workshop website
(https://icerm.brown.edu/programs/sp-f20/w1/) if you would like to
participate in this workshop.


From: Steffen Boerm boerm@math.uni-kiel.de
Date: August 24, 2020
Subject: Simulation and High-Performance Computing, ONLINE, Sep 2020


We are happy to announce a two-week course "Simulation and
High-Performance Computing" aimed at M.Sc. and Ph.D. students in
Engineering, Physics, Chemistry, and Biology.

The first week of the course provides an introduction to basic
numerical techniques required in computer simulations, e.g.,
time-stepping methods, finite-difference discretization, and
corresponding solvers. This part assumes that participants are
familiar with analysis and linear algebra.

The second week focuses on the implementation of these techniques on
modern computers, taking advantage of vectorization, parallelization,
GPU computing, and distributed computing. This part assumes that
participants are familiar with the C programming language.

Due to the current COVID-19 crisis, the course will be held online,
with lectures provided as pre-recorded videos combined with discussion
groups and interactive programming exercises.

Time: 28th of September to 9th of October, 2020
Website: https://www.csc.uni-kiel.de/en/teaching/block-course/2020


From: Dmitri Kuzmin kuzmin@math.uni-dortmund.de
Date: August 28, 2020
Subject: Modeling and Simulation of Transport Phenomena, Germany, Oct 2020


The third workshop "Modeling and Simulation of Transport Phenomena"
(MoST 2020) will be held from 12 to 15 October, 2020 in Treis-Karden,
Germany. Please visit the web page

http://most2020.math.tu-dortmund.de/

for further information.

A limited number of spaces are still available for ON-SITE
participation in this event. If you are willing to attend the workshop
in person and give a talk on stabilized or bound-preserving numerical
schemes, please send the tentative title to
kuzmin@math.uni-dortmund.de.


From: Grady Wright gradywright@boisestate.edu

Date: August 25, 2020
Subject: Pacific Northwest Numerical Analysis, VIRTUAL, Oct 2020


The 33rd Pacific Northwest Numerical Analysis Seminar (PNWNAS) will be
held virtually on Saturday, October 17, 2020. The meeting
traditionally brings together people interested in scientific
computing, numerical analysis, and computational mathematics from
academia, government research labs, and industry from around the
Pacific Northwest region of the USA and Canada. However, participants
from all over the world are welcome. The meeting has been held
annually since 1987.

Confirmed Speakers:
Chris Bretherton, University of Washington and Vulcan, Inc.
Donna Calhoun, Boise State University
Sebastian Dominguez, University of Saskatchewan
Randy Leveque, University of Washington
Irina Tezaur, Sandia National Laboratories
Alex Townsend, Cornell University
Hongkai Zhao, Duke University

There is no fee for attending the meeting, but we ask all participants
to register by October 16, 2020. More details on the meeting,
including the registration form, can be found at
https://sites.google.com/view/pnwnas2020


From: Lennard Kamenski numgrid@wias-berlin.de

Date: August 30, 2020
Subject: Extended Deadlines, NUMGRID/Delaunay, ONLINE, Nov 2020


The submission deadlines for the 2020 NUMGRID conference on Numerical
Geometry, Grid Generation and Scientific Computing have been extended
until September 20:

Sep 20: extended paper submissions due
Oct 18: initial acceptance notification
Nov 01: revision submission due
Nov 15: revision acceptance notification

Since a personal meeting seems to be unlikely at the moment, the 2020
NUMGRID conference will be an online event. Nevertheless, we are
keeping both options open: the conference will be online but, to the
extent permitted by the official regulations, we will try to offer the
possibility to attend the event at the conference location as well.

Particularly invited are technical papers presenting results in
numerical geometry, grid generation, and their theoretical foundations
(a detailed list of the relevant topics is provided at
http://www.ccas.ru/gridgen/numgrid2020/call.html)

Accepted papers presented by participants will be published in the
peer-reviewed conference proceedings (Springer LNCSE series).
Extended versions of selected papers will be invited for submission to
Computational Mathematics and Mathematical Physics (CMMP).

For details and updates, please visit the conference website at
http://www.ccas.ru/gridgen/numgrid2020

Plenary speakers:
http://www.ccas.ru/gridgen/numgrid2020/speakers.html
Important dates: http://www.ccas.ru/gridgen/numgrid2020/dates.html


From: luca formaggia luca.formaggia@polimi.it

Date: August 28, 2020
Subject: SIAM Geosciences, Italy, Jun 2021


The 2021 edition of the SIAM Conference on Mathematical and
Computational Issue in the Geosciences (SIAMGS21) will take place in
mixed in-presence/online mode at Politecnico di Milano Italy, on June
21- 24 2021.

The conference aims to stimulate the exchange of ideas among
geoscientific modellers, applied mathematicians, statisticians, and
other scientists, fostering new research in the mathematical
foundations with an impact on geoscience applications.

Submission of mini-symposium proposals IS NOW OPEN. Information is
available on https://www.siam.org/conferences/cm/conference/gs21. We
will give further details in a second announcement by the end of this
year.


From: Paula Aguirre paaguirr@ing.puc.cl
Date: August 30, 2020
Subject: Tenure Track Position, Pontificia Univ Catolica de Chile


With the goal of promoting the development of the areas of Machine
Learning and Data Science, the Institute for Mathematical and
Computational Engineering (IMC) from the Pontificia Universidad
Catolica de Chile (UC) is offering one or more full-time positions
at the assistant (tenure-track) or associate level. We invite
applications from highly qualified candidates in the areas of Data
Science, Machine Learning, Optimization, Statistics and Stochastics,
although other areas from Computational Science and Engineering,
Optimization and Applied Mathematics will also be considered. The
selected candidates will be expected to teach and contribute to the
Mathematical and Computational Engineering curriculum, to conduct
interdisciplinary research and to connect with other institutes in the
University. Typical teaching load is three semester-long courses a
year, at the graduate or undergraduate level, and priority will be
given to courses required by the newly created Bachelor in Engineering
in Data Science program. For the first year selected candidates can
opt for a reduced teaching load of only two courses. Command of
Spanish is not required for applying, but the selected candidates are
expected to start teaching in Spanish in the short term (maximum two
years). Further information about the Institute can be
found at http://imc.uc.cl

Application Instructions. Candidates should submit the following
documents, in English, to vacancysearch.imc@uc.cl
(in the email
subject line, please write "Faculty position IMC") by October 7th,
2020: A cover letter. Research statement (5-10 pages) indicating
immediate and long term goals for your research and how these relate
to the aforementioned goals of IMC. Include details on potential
collaboration networks with other researchers and plans for
interactions with scientists in Chile and other countries. Teaching
statement (1-2 pages)indicating why you should be considered for the
position and your plans for teaching. Be as specific as possible, by
giving examples of how you aim to transfer your knowledge to
undergraduate and graduate students, and which courses you could
teach. An up-to-date curriculum vitae containing all relevant
information. In addition, candidates should arrange for two letters
of recommendation to be e-mailed directly by the signatories to
vacancysearch.imc@uc.cl

Further information. For additional information on the positions,
please write to Prof. Pablo Barcelo, Director of IMC,
pbarcelo@ing.puc.cl


From: David Chappell david.chappell@ntu.ac.uk

Date: August 28, 2020
Subject: Assistant Professor Position, Stats/Stat Appl Maths, UK


The Department of Physics and Mathematics at Nottingham Trent
University invites applications for a Lecturer/Senior Lecturer
(equiv. to Assistant Professor) in Statistics or Statistical Applied
Mathematics.

Visit the link below for more details or to submit an online
application:

https://vacancies.ntu.ac.uk/displayjob.aspx?jobid=3D7978


From: Imke Franzmeier ifranzme@uni-munster.de

Date: August 24, 2020
Subject: Assistant Professorship Position, Applied Mathematics, Germany


The Cluster of Excellence Mathematics Munster: Dynamics - Geometry -
Structure at the University of Munster, Germany invites applications
for a MATHRIX Assistant Professorship in Applied Mathematics Salary
level W1.

The professorship is for three years with the possibility of an
extension for another three years upon positive evaluation. In
exceptional cases, the position may be tenured. The professorship
should *contribute to gender equality within the mathematical
sciences*.

Deadline: 30 September 2020

Call and detailed information:
https://www.uni-muenster.de/MathematicsMuenster/careers/mathrix/


From: Richard Tran Mills rtmills@anl.gov
Date: August 24, 2020
Subject: Postdoc Position, Numerical Solvers for HPC Architectures, Argonne


The PETSc/TAO team (https://www.mcs.anl.gov/petsc/) within the
Laboratory for Applied Mathematics, Numerical Software, and Statistics
(LANS, https://www.anl.gov/mcs/lans) in the Mathematics and Computer
Science Division at Argonne National Laboratory has an immediate
opening for a postdoctoral researcher to work on development of robust
and efficient algebraic solvers and related technologies targeting
exascale- class supercomputers -- such as the Aurora machine slated to
be fielded at Argonne -- and other novel high-performance computing
(HPC) architectures. For those interested, please see the job posting
at https://bit.ly/3kPtY8L. US citizenship is not required.

As an equal employment opportunity and affirmative action employer,
Argonne National Laboratory is committed to a diverse and inclusive
workplace that fosters collaborative scientific discovery and
innovation. In support of this commitment, Argonne encourages
minorities, women, veterans and individuals with disabilities to apply
for employment. Argonne considers all qualified applicants for
employment without regard to age, ancestry, citizenship status, color,
disability, gender, gender identity, genetic information, marital
status, national origin, pregnancy, race, religion, sexual
orientation, veteran status or any other characteristic protected by
law.



From: Mike Kirby kirby@cs.utah.edu
Date: August 25, 2020
Subject: Postdoc Position, Physics-Informed Machine Learning, Univ Utah


The Scientific Computing and Imaging (SCI) Institute at the University
of Utah invites applications for one post-doctoral researcher for
interdisciplinary work spanning applied mathematics and computer
science. The successful candidate will perform research in the design,
optimization, analysis, and application of Physics-Informed Machine
Learners (PIMLs), and will work closely with SCI Institute researchers
and external collaborators to integrate research into SCI Institute
software applications and apply this software to compelling problems
in science and engineering. Previous postdocs who have held this
position benefited from its interdisciplinary nature: placing
individuals with strong applied mathematics and computing skills at
the interface of realistic and compelling engineering problems
spanning computational mechanics and material science.

This position has three main responsibilities: 1) Design,
optimization, analysis, and application of Physics-Informed Machine
Learners (PIMLs). Focus areas: Metalearning (combined with Deep
Learning, Reinforcement Learning, Bayesian Learning, Large-Scale
Learning, Transfer Learning, etc.), Multiscale/Multifidelity learners.
2) Implementation and evaluation of these methodologies within
collaborative codes bases. 3) Scientific interaction between Utah and
other PILM Partners (at Brown, Caltech and Stanford)

Qualifications The SCI Institute is seeking a highly talented and
committed individual with a demonstrated ability to work well with
minimal supervision in a multi-disciplinary research
environment. Backgrounds in the computer science, data science,
applied mathematics, physics and computational sciences will be
considered. Individuals comfortable with uncertainty quantification
(sensitivity analysis, reduced-order modeling, etc.), probability
theory, multiscale theory, and machine learning preferred. The
candidate selected will contribute to the Institute's world-class
research and software development efforts and have the opportunity to
develop their research, publication, and presentation skills under
mentorship from established faculty investigators. Please contact
Shandian Zhe (zhe@cs.utah.edu) and/or Mike Kirby (kirby@cs.utah.edu)
for further information. Please send applications directly to Ms. Deb
Zemek (deb@sci.utah.edu) in addition to submitting
to the official UU
HR site. Being self-motivated and having good organizational,
communication, and teamwork skills is essential.

How to Claim Vet Preference: Applicants claiming Veterans or Disabled
Veterans preference must submit a photo copy of their DD-214 and
complete the Utah State Veteran's Preference Addendum. Equal
Employment Opportunity: The University of Utah is an Affirmative
Action/Equal Opportunity employer. Upon request, reasonable
accommodations in the application process will be provided to
individuals with disabilities.

Start Date: As soon as possible, preferably before October 1, 2020.
To Apply: http://utah.peopleadmin.com/postings/107178


From: Marta D'Elia mdelia@sandia.gov
Date: August 25, 2020
Subject: Postdoc Position, Sandia National Laboratories, USA


Postdoctoral Position in Advanced ML methods at Sandia National
Laboratories, Livermore, CA

We are seeking a postdoctoral appointee to perform analysis,
development and deployment of advanced ML methods with connections to
random dynamical systems and differential equations. Specific
developments include analyzing neural networks (NNs) in the
continuous-layer limit as differential equations, augmenting NNs with
probabilistic weights, as well as crafting advanced regularization and
dimensionality reduction methods. The work involves regular
interaction with the immediate project team, as well as collaboration
with application teams across Sandia, focused on applications to
material science and climate models. The project is expected to result
in publications in peer-reviewed journals and impact in understanding
the advantages and limitations of probabilistic NNs viewed as random
dynamical systems. Please feel free to contact Khachik Sargsyan
(ksargsy@sandia.gov) for more details.

Required Qualifications:
- PhD in the physical sciences, mathematics, engineering, or computer
science
- Experience in scientific computing, machine learning and numerical
methods
- Experience in Python and common ML libraries.

Desired Qualifications:
- Knowledge and expertise in computational science and software
development
- Experience in performing collaborative and interdisciplinary
research
- Excellent verbal and written communication skills.

Apply: go to
http://www.sandia.gov/careers/students_postdocs/postdocs.html, click
'View All Jobs' and search for Job ID: 672950.


From: Jose A Cuminato jacuminato@gmail.com
Date: August 27, 2020
Subject: Postdoc Position, Topology Optimization, CeMEAI, Brazil


Post-Doc position in topology optimization for additive manufacturing
in metal (EBM technology).

Electron beam melting (EBM) is a powder bed fusion technology for
additive manufacturing in metal, where fine metal powder is melted,
layer by layer, with a strong electron beam in a vacuum chamber. This
special technique can be used to produce arbitrarily shaped parts in
special alloys with low residual stresses. This project is about the
topology optimization of structural mechanic properties applied to EBM
for industrial applications using finite element methods for the
structural mechanic's computations. As important as the numerical and
the optimization techniques, is the mathematical modelling of the
material properties relevant to the applications and how to include
these into the optimization problem. The project is part of an
international collaboration with academic and industrial partners in
both Brazil and Sweden. The candidate will need to have expertise in
structural mechanics, a good working knowledge of optimization,
mathematical modelling and also in programming and scientific
computing. The candidate will be based in Sao Carlos, Brazil, and will
be required to spend some time in Sweden with collaborators there. The
post is initially for one year and can be renewed for another two
depending on performance. To apply, please send a CV and a reference
letter to jacuminato@gmail.com . Applications
are open until Sep/30th, 2020.


From: Antje Herbst antje.herbst@springernature.com

Date: August 28, 2020
Subject: CFP, Reduced Order Modeling in Geosciences


The Topical Collection on recent advances in "Reduced Order Modeling
in Geosciences" edited by Bulent Karasozen provides an overview of the
progress in this rapidly developing area, to identify current
challenges, and to present and discuss new approaches. The topics
covered include but are not limited to geophysical flows, seismic
inversion, poroelasticity, fracture modeling, reservoir simulations,
geomechanics, and data-driven model reduction.

In addition, submissions of overview papers reporting on significant
progress in the field are highly encouraged. The guest editor of this
Topical Collection invites interested authors to submit their
contributions to GEM (https://www.springer.com/journal/13137/)
starting September 1, 2020 until January 31, 2021 and to spread this
"Call for Papers" to other colleagues active in this area.

Click the link below to download the PDF with all information:
http://resource-cms.springernature.com/springer-cms/rest/v1/content/18261530/data/v1

From: Jerome Droniou jerome.droniou@monash.edu

Date: August 27, 2020
Subject: Submissions Requested, Advances in Computational Mathematics


The Mathematics of Computation and Optimisation (MoCaO), special
interest group of the Australian Mathematical Society, is inviting
submissions to Advances in Computational Mathematics for a collection
of articles on computational mathematics and optimisation.

The aim of this initiative is to collect high-quality research papers,
reviews on theoretical and methodological advances, and novel
applications that employ cross disciplinary tools. Short
communications of work in progress that attracts wide audience's
interest and creates new opportunities for cooperation are also
welcomed.

In recent years, challenges in sophisticated applications have set a
stage for the synergy between advanced computational techniques for
differential equations, theoretical and numerical optimization, and
optimal control. We seek papers that address issues that are common to
these areas or import tools from other areas for use in a novel
fashion. Both theoretical works and applications are welcomed.

The editors of the topical collection are:
- Thanh Tran (University of New South Wales, Sydney, Australia), Chair
- Jerome Droniou (Monash University, Melbourne, Australia)
- Andrew Eberhard (RMIT, Melbourne, Australia)
- Guoyin Li (University of New South Wales, Sydney, Australia)
- Russell Luke (University of Goettingen, Germany)

The submission must be made via the journal's website
https://www.springer.com/journal/10444

by selecting "TC: Mathematics of Computation and Optimisation" as
"article type". The deadline is 31 July 2021.



From: Armend Shabani armend.shabani@uni-pr.edu

Date: August 29, 2020
Subject: Submissions Requested, Enumerative Combinatorics and Applications


Beginning from September 2020, Enumerative Combinatorics and
Applications (http://ecajournal.haifa.ac.il/) accepts new submissions
(papers, review and survey papers).


From: Yonghui Yu yyu@lsec.cc.ac.cn
Date: August 25, 2020
Subject: Contents, Computational Mathematics, 38 (5)


Journal of Computational Mathematics, Volume 38 (2020), Issue 5
http://www.global-sci.org/intro/articles_list/jcm/1873.html

Contents

A Multidimensional Filter SQP Algorithm for Nonlinear Programming,
Wenjuan Xue and Weiai Liu

On Energy Conservation by Trigonometric Integrators in the Linear Case
with Application to Wave Equations, Ludwig Gauckler

Developable Surface Patches Bounded by Nurbs Curves, Leonardo
Fernandez-Jambrina and Francisco Perez-Arribas

Corner-Cutting Subdivision Surfaces of General Degrees with
Parameters, Yufeng Tian and Maodong Pan

Convergence and Optimality of Adaptive Mixed Methods for Poisson's
Equation in the FEEC Framework, Michael Holst, Yuwen Li, Adam Mihalik
and Ryan Szypowski

Two-stage Fourth-order Accurate Time Discretizations for 1D and 2D
Special Relativistic Hydrodynamics, Yuhuan Yuan and Huazhong Tang

Accurate and efficient Image Reconstruction from Multiple Measurements
of Fourier Samples, Theresa Scarnati and Anne Gelb

End of Digest
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