NA Digest, V. 21, # 37

NA Digest Monday, October 04, 2021 Volume 21 : Issue 37


Today's Editor:

Daniel M. Dunlavy
Sandia National Labs
[email protected]

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: Michael Overton [email protected]
Date: October 03, 2021
Subject: HANSO 3.0, Hybrid Algorithm for Non-Smooth Optimization


I'm happy to announce Version 3.0 of HANSO (Hybrid Algorithm for Non-
Smooth optimization). HANSO is based on BFGS (a surprisingly effective
method for nonsmooth optimization, convex or nonconvex, but with no
convergence guarantees for nonsmooth functions) and Gradient Sampling
(a more computationally demanding method, but with a convergence
theory for a broad class of nonsmooth functions). Version 3.0
implements a new variant of the Gradient Sampling algorithm with the
stronger guarantees given in a recent survey paper by Burke, Curtis,
Lewis, Simoes and myself:
https://link.springer.com/book/10.1007%2F978-3-030-34910-3

The code is freely available here:
https://cs.nyu.edu/~overton/software/hanso/index.html


From: Kris ONeill [email protected]
Date: September 27, 2021
Subject: New Book, Computed Tomography: Algorithms, Insight, and Just

Enough Theory

Computed Tomography: Algorithms, Insight, and Just Enough Theory
Edited by Per Christian Hansen, Jakob Sauer Jorgensen, and William R.
B. Lionheart, With contributions from Martin S. Andersen, K. Joost
Batenburg, Yiqiu Dong, Eric Todd Quinto, and Jan Sijbers

This book describes fundamental computational methods for image
reconstruction in computed tomography (CT) with a focus on a
pedagogical presentation of these methods and their underlying
concepts. Insights into the advantages, limitations, and theoretical
and computational aspects of the methods are included, giving a
balanced presentation that allows readers to understand and implement
CT reconstruction algorithms. Unique in its emphasis on the interplay
between modeling, computing, and algorithm development, it sets the
stage for further exploration of CT algorithms. Readers will be able
to grasp the underlying mathematical models to motivate and derive the
basic principles of CT reconstruction and will gain basic
understanding of fundamental computational challenges of CT, such as
the influence of noisy and incomplete data.

2021 / xviii + 337 pages / Softcover / 978-1-611976-66-3 / List $89.00 /
SIAM Member $62.30 / FA18

SIAM Bookstore:
https://my.siam.org/Store/Product/viewproduct/?ProductId=3D38341835


From: Kris ONeill [email protected]
Date: September 30, 2021
Subject: New eBook, Lecture Notes for Linear Algebra


Lecture Notes for Linear Algebra
by Gilbert Strang

Lecture Notes for Linear Algebra provides instructors with a detailed
lecture-by-lecture outline for a basic linear algebra course. The
ideas and examples presented in this e-book are based on Strang's
video lectures for Mathematics 18.06 and 18.065, available on MIT's
OpenCourseWare (ocw.mit.edu) and YouTube (youtube.com/mitocw). Readers
will quickly gain a picture of the whole course - the structure of the
subject, the key topics in a natural order, and the connecting ideas
that make linear algebra so beautiful.

2021 / iii + 183 pages / Digital / eISBN: 978-1-7331466-4-7 / List price:
$34.00 / WC18

Available as an e-book on Google Play:
https://play.google.com/store/books/details/Gilbert_Strang_Lecture_Notes_
for_Linear_Algebra?id=3DuJhEEAAAQBAJ&hl=3Den_US&gl=3DUS


From: Gabriel R. Barrenechea [email protected]
Date: September 30, 2021
Subject: Reduced Order Modelling, ONLINE, Oct 2021


We are pleased to annouce the meeting "New developments in reduced
order modelling" to be held (virtually) at ICMS, Edinburgh, on the
15th of October from 1 to 5PM (UK time). This workshop is the final
one in the series "LMS Scottish Numerical Methods Network", that has
been running for the last 3 years, and involves the universities of
Strathclyde, Heriot-Watt, Edinburgh, and Dundee.

The purpose of the meeting is discussing recent advances in ROM, and
how can ROM can be interpreted in different ways, ranging from reduced
basis methods, to ROM based on asymptotic expansions, to multiscale
finite element methods. To cover that breadth, the following academics
have kindly accepted to give a talk at the meeting:

Marco Fossati, University of Strathclyde
Guanglian Li, The University of Hong Kong
Gianluiggi Rozza, SISSA, Trieste
Alexander Wray, University of Strathclyde

More details on the meeting, including titles, abstract, programme,
and how to register for the zoom meeting can be found in the
workshop's web page: https://www.icms.org.uk/events/event/?id=3D1178



From: Filomena Di Tommaso [email protected]
Date: October 01, 2021
Subject: ATMA2021, Italy, Nov 2021


ATMA2021 - Approximation: Theory, Methods, and Applications
November 10--12, 2021, Reggio Calabria, Italy

ATMA2021 is the fourth Conference organized within the activities of
RITA (Rete ITaliana di Approssimazione) and UMI - TAA (Teoria
dell'Approssimazione e Applicazioni) workgroup.

The main goal of ATMA2021 is to bring together researchers working in
different fields of approximation and to present recent advances from
both a theoretical and a numerical perspective.

Topics include but are not limited to: Radial Basis Functions;
Subdivision Schemes; Kernel methods; Meshless approximation and
applications; Frames; Mathematical signal and image processing;
Computer Aided Design; Approximation by sampling-type operators;
Inverse problems; Time-frequency transforms; NURBS; Wavelets; Multi-
Resolution Methods.

Invited Speakers: Frank Filbir, HelmholtzZentrum, Technical University
of Munich, Germany; Gheorghe S. Gal, University of Oradea, Romania;
Elisabeth Larsson, Uppsala University, Sweden ; Vladimir Protasov,
Moscow State University, Russia, and University of L'Aquila, Italy.

New deadline: Registration and abstract submission for oral
presentations and posters: October 10, 2021

Conference website: http://www.atma2021.unirc.it/


From: Gabriele Ciaramella [email protected]
Date: September 28, 2021
Subject: Advanced Domain Decomposition Methods, Italy/HYBRID, Nov 2021


We are pleased to announce the Summer School on Advanced Domain
Decomposition Methods, in Milan, Italy.

The goal of this summer school is to introduce basic and advanced
domain decomposition methods to researchers interested in
understanding these methods, and to give them detailed insight on how
these methods reduce various error components and are used in
practice. The course will cover domain decomposition methods for
various problems ranging from classical stationary partial
differential equations (PDEs) to time-dependent problems, passing
through PDEs with high-contrast coefficients and heterogeneous
problems.

The school is suitable for young mathematitians (PhD students and
highly motivated Master Students), who wish to either get in touch
with domain decomposition methods, as well as young researchers and
Post-doc who desire to strengthen and broaden their knowledge on
advanced domain decomposition techniques.

The event will be held in November 24-26, 2021 at the Politecnico di
Milano and is free of fees and it can be attended either in presence
or online. For more details see the website
https://gciara.wordpress.com/summer-school-on-dd-methods/

The event is funded by the European Mathematical Society.


From: Amaziane [email protected]
Date: October 01, 2021
Subject: SITRAM21, France/HYBRID, Dec 2021


We are pleased to announce this Call for Abstracts for the Workshop
SITRAM21: Advances in the SImulation of reactive flow and TRAnsport in
porous Media, to be held at INRIA Paris, France, December 8-10 2021.

The goal of the workshop is to present recent advances in both
modeling and simulation for coupled transport and geochemistry in
subsurface flow. Topics of interest include: Reactive multi-phase
flow; Impact of reactions on mechanics (changes on porosity or
permeability); Discontinuous kinetic reactions; Numerical methods for
coupling flow, transport and reactions; HPC issues. A special session
of the workshop will be dedicated to the presentation of preliminary
results on a new Benchmark targeted towards two-phase flow with
reactive transport in porous media.

Due to the pandemic conditions, the workshop will be held in a hybrid
format, with both on-site and remote presentations. To find more
details about the workshop, the description of the Benchmark, the
submission and registration procedures, please visit our website at
https://sitram21.sciencesconf.org/

Deadline for abstract submission: November 24th 2021
Contact: [email protected] and [email protected]

If you have any questions or concerns about the Workshop, please don't
hesitate to send us an e-mail.


From: Torsten Lin=C3=9F [email protected]
Date: September 28, 2021
Subject: Problems with Layer Phenomena, Germany, Mar 2022


The 18th Workshop on Numerical Methods for Problems with Layer
Phenomena will be held in Hagen, Germany during March 24-26, 2022.

This workshop is being organised by the Faculty of Mathematics and
Computer Science at FernUniversitat in Hagen.

The aim of the workshop is to bring together people, in the
mathematics and general scientific community, who have particular
interests in the development and applications of numerical methods for
problems that exhibit layer phenomena, such as boundary/interior
layers in fluid flow and other applications.

There is no registration fee. Limited support for travelling for
students will be made available by FernUniversitat in Hagen.

For more information consult
https://www.fernuni-hagen.de/numerik/forschung/workshoplayerphenomena.shtml

Contact: [email protected]


From: Harshit Bansal [email protected]
Date: September 28, 2021
Subject: Scientific Computing in Electrical Engineering, Netherlands, Mar 2022


We are happy to announce the 14th edition in the series of conferences
on Scientific Computing in Electrical Engineering, which provides an
ideal mix of numerical analysis techniques and applications in
electronics and electromagnetics. The 14th International Conference on
Scientific Computing in Electrical Engineering (SCEE) will take place
from March 7-10, 2022, at the Centre for Mathematics and Computer
Science (CWI) in the Science Park of Amsterdam. It will be a festive
event since it marks 25 years of the series of conferences SCEE, whose
first edition took place in Darmstadt in 1997.

Besides lectures by renowned invited speakers, also on the industry
day, additional keynote lectures will be given by two of the founding
members of SCEE, Prof. Ursula van Rienen (Rostock) and Prof. Michael
Gunther (Wuppertal). For more information regarding the invited
speakers, topics of interest, registration fees, important deadlines,
COVID-19-related guidelines, etc., please refer to the conference
website: https://www.scee-conferences.org/.

We hope that you will be able to attend SCEE 2022 and celebrate the
25th anniversary with us! In case of any queries, feel free to reach
out to us at [email protected].



From: Svetozar Margenov [email protected]
Date: October 02, 2021
Subject: NSFDE&A'22, Bulgaria/HYBRID, Jun 2022


The Second International Workshop "Numerical Solution of Fractional
Differential Equations and Applications" (NSFDE&A'22) will take place
in June 8 - 13, 2022, Sozopol, Bulgaria:
http://parallel.bas.bg/Conferences/NSFDE&A2022/

The workshop is organized by the Institute of Information and
Communication Technologies, Bulgarian Academy of Sciences and MIV
Consult Ltd. in cooperation with the Bulgarian Section of SIAM, and
the Center of Excellence on Informatics and ICT. The NSFDE&A'22 will
be held in Sozopol (ancient Apolonia), a picturesque town on the Black
Sea coast, 36 km south of Bourgas. The Bourgas International Airport
is 50 km to the north from Sozopol. The workshop will be organized as
a hybrid event: a) presence at the conference venue in Sozopol; and b)
online through the free (for the participants) software platform Zoom.
Specific topics of interest (but not limited to) are the following:
(i) fractional in space problems; (ii) fractional in time problems;
(iii) multigrid solvers; (iv) coupled problems; (v) phase separation
and image segmentation; (vi) parallel algorithms and HPC tools; (vii)
applications in science and engineering.


From: Wim Michiels [email protected]
Date: October 01, 2021
Subject: Faculty Position, Numerical Methods, KU Leuven


Faculty Position, Numerical Methods for Large-Scale Inverse Problems
and Data Assimilation

The research unit NUMA, Department of Computer Science, KU Leuven,
Belgium, invites applications for a full-time faculty position. The
research unit covers many aspects of numerics, including approximation
theory, numerical integration, numerical (multi)linear algebra,
numerical PDEs, uncertainty quantification, optimization and control,
discrete optimization and scheduling, network problems, data science,
HPC and applied numerical mathematics. The recent surge in advanced
techniques for data acquisition gives rise to computational tasks of a
complexity far beyond numerical simulation as integrating measurement
data in complex models requires specific numerical algorithms. In the
simplest setting, finding the 'best' model parameters given some
measurement data is an optimization problem. However, demands of
practical applications often go far beyond this optimization: one can,
for instance, also be interested in quantifying the uncertainty on the
resulting optimum, the remaining modeling error with respect to the
physical system, or the evolution of the model as a function of time
(if data is continuously gathered). The new faculty position aims to
strengthen NUMA's position in scientific computing towards a data rich
environment. The successful candidate is expected to develop a
research program in inverse problems and data assimilation, ensure
high-quality education within the area of mathematical engineering,
and be prepared to provide scientific, social and administrative
services. For further details, contact information and the application
procedure follow the link:
https://www.kuleuven.be/personeel/jobsite/jobs/60021670?hl=3Den&lang=3Den

Deadline for applications: October 11, 2021


From: T.T. Phuong Hoang [email protected]
Date: September 29, 2021
Subject: Tenure-Track Assistant Professor Position, Comp Mathematics,

Auburn Univ

The Department of Mathematics and Statistics in the College of
Sciences and Mathematics (COSAM) at Auburn University invites
applications for a tenure-track Assistant Professor in Computational
Mathematics for nine- month appointments beginning on August 16, 2022.

Areas of interest include, but are not limited to, scientific
computing and numerical analysis in machine learning and deep
learning, computational biology, computational physics, and inverse
problems and optimization. The candidate is also expected to
demonstrate a strong commitment to high quality teaching at the
undergraduate and graduate levels, as well as mentoring undergraduate
and graduate students.

Interested candidates can find more information about the position as
well as submit their applications at
https://www.auemployment.com/postings/25375

Review of applications will begin November 1, 2021 and continue until
the position is filled.

Auburn University is an R1 University and one of the nation's premier
land, sea, and space grant institutions. It maintains high levels of
research activity and high standards for teaching excellence. Auburn
University is understanding of and sensitive to the family needs of
faculty, including dual-career couples. Auburn University is an
EEO/Vet/Disability Employer and committed to building an inclusive and
diverse community.



From: Martin Buecker [email protected]
Date: October 04, 2021
Subject: Postdoc Position, Computational and Data Science, Univ Jena


The Computer Science Department of Friedrich Schiller University Jena,
Germany, is looking for a Postdoc in Technical Computer Science,
High-Performance Computing, and Computational and Data Science.

The formal announcement (in German) is available via
https://www4.uni-jena.de/Stellenmarkt.html


From: Konstantin Usevich [email protected]
Date: September 29, 2021
Subject: Postdoc Position, ML/Tensor Methods, Nancy, France


We are inviting applications for a postdoctoral research position on
developing new deep learning approaches based on low-rank tensor
approximations. This is a 2-year position with the desirable starting
date in January 2022 or earlier. The applications are received until
the position is filled. The project is co-funded by the French Agence
Nationale de Recherche and the Grand Est Region. The applicant will be
employed in Nancy by the University of Lorraine and the CNRS.

For further details please see
http://w3.cran.univ-lorraine.fr/konstantin.usevich/?q=3Dcontent/postdoc-2021
. Enquiries and applications should be directed to Konstantin Usevich
([email protected]) and Marianne Clausel
([email protected]).



From: Juliane Mueller [email protected]
Date: September 27, 2021
Subject: Postdoc Position, Optimization and ML, Berkeley Lab


Lawrence Berkeley National Lab's (LBNL) Computational Research
Division has an opening for a Postdoctoral Scholar in applying machine
learning tools to optimization, sampling and uncertainty
quantification in the Center for Computational Sciences and
Engineering.

In this exciting role,you will be doing research with a combination of
elements of applied mathematics, statistics, machine learning and
computational science. The successful applicant will develop, test,
and benchmark new algorithms for high-dimensional inference and data
analysis, using machine learning models to accelerate
computations. The postdoc will also tightly collaborate with
Prof. Seljak's group at UC Berkeley.

For more information about the optimization effort in the Center for
Computational Sciences and Engineering, please visit
https://optimization.lbl.gov/. More information about research in
Prof. Seljak's group can be found at http://bccp.berkeley.edu.

For full consideration, please apply at http://m.rfer.us/LBLNMD4Bc

Berkeley Lab is committed to Inclusion, Diversity, Equity and
Accountability (IDEA) and strives to continue building community with
these shared values and commitments. Berkeley Lab is an Equal
Opportunity and Affirmative Action Employer. We heartily welcome
applications from women, minorities, veterans, and all who would
contribute to the Lab's mission of leading scientific discovery,
inclusion, and professionalism. In support of our diverse global
community, all qualified applicants will be considered for employment
without regard to race, color, religion, sex, sexual orientation,
gender identity, national origin, disability, age, or protected
veteran status.


From: Habib N. Najm [email protected]
Date: September 29, 2021
Subject: Postdoc Position, Sandia National Labs, CA


We are seeking postdoctoral appointees to join our team developing a
predictive multiscale modeling capability that will advance the
fundamental understanding of plasma-facing materials in fusion energy
reactors, with broader impact in materials discovery. Well-matched
candidates would be creative problem solvers with fundamental
knowledge spanning parts of the landscape of machine learning (ML),
uncertainty quantification (UQ), and atomistic materials modeling,
with experience in scientific computing, as evidenced by publications
and codes. The project team includes experts in plasma-surface
interactions, atomistic materials modeling, interatomic potentials
(IAPs), ML, and UQ. The project at hand targets the use of ML and UQ
methods for Bayesian learning of IAPs, forward propagation of
uncertainty in molecular dynamics simulations, and model validation
with experimental measurements. The work will involve development of
advanced ML IAP constructions, optimal design, and active learning of
MLIAPs with density functional theory data, UQ with IAP model error
constructions, as well as Bayesian optimization and model selection.

Required Qualifications:
1. PhD in a field of materials/physical sciences, applied mathematics,
or engineering conferred within five years prior to employment
2. Knowledge and expertise in uncertainty quantification and/or
machine learning
3. Knowledge and expertise in computational science and software
development

To Apply:
1. go to http://www.sandia.gov/careers/studens_postdocs/postdocs.html
2. click 'View All Sandia Openings'
3. search for Job ID: 678596


From: Jens Saak [email protected]
Date: September 28, 2021
Subject: Postdoc Positions, Research Data Management and RSE, MPI


As part of the MaRDI (https://mardi4nfdi.de) consortium within the
German National Research Data Initiative (NFDI, https://www.nfdi.de),
the Max Planck Institute for Dynamics of Complex Technical Systems is
filling a 5-year position as PostDoctoral Research Data Manager
(m/f/d) as soon as possible, as well as a 2-year position (initially)
as Research Software Engineer (m/f/d) starting January 1, 2022. For
details, see https://www.mpi-magdeburg.mpg.de/job-openings .


From: Philipp Neumann [email protected]
Date: October 04, 2021
Subject: PhD/Postdoc Position, High Performance Computing, Hamburg


Positions at salary grade TVoD E13 (PhD/Postdoc) are available, funded
until 31.12.2024, at the chair for high performance computing,
Helmut-Schmidt-Universitat Hamburg, Germany. Research directions are
given across the wide range of topics (multiscale flow simulations;
molecular dynamics; HPC for logistics and optimization problems;
machine learning; exploration of novel/existing computational
techniques for novel HPC hardware; performance engineering; etc.).

Information on the research group and corresponding projects can be
found at: https://www.hsu-hh.de/hpc/en/

For inquiries on the positions, please contact Philipp Neumann:
[email protected]


From: Cluster of Excellence Mathematics M=C3=BCnster [email protected]
Date: September 29, 2021
Subject: PhD/Postdoc Positions, Young Research Groups, Mathematics, Munster


Be part of Mathematics Munster! Dive into your own research project
and benefit from the excellent research environment at the University
of Munster, Germany (www.mathematics-muenster.de). Doctoral and
Postdoc positions, as well as Young Research Groups at Mathematics
Munster are open for application.

Doctoral Positions: Join the Mathematics Munster Graduate School and
profit from the active and demanding research environment for talented
and motivated doctoral researchers aiming to become the next
generation of leading scientists. Salary level E13 TV-L, 75% for
three years. In all research areas related to the Cluster. The
duration of the PhD positions is three years. The expected starting
date is no later than October 2022. Apply until November 1st 2021 at
mathematics-muenster.de/career/apply

Postdoctoral Positions: Establish your own research profile in our
stimulating research environment amongst internationally renowned
scientists and benefit from the career development opportunities to
foster your scientific independence. Salary level E13 TV-L, 100% for
up to three years. In all research areas related to the Cluster. The
expected starting date is no later than October 2022. Apply until
November 1st 2021 at mathematics-muenster.de/career/apply

Young Research Groups (postdoctoral level): Collaborate for four years
as a Young Research Group, consisting of two or three postdocs, on a
joint research project relevant to the topics of Mathematics Munster.
Salary level E13 TV-L, 100% for up to four years. In all research
areas related to the Cluster. The expected starting date is no later
than October 2022. Postdoc applicants are invited to collaborate as a
Young Research Group on a joint research project relevant to the
topics of Mathematics Munster. Apply individually through the postdoc
application form.

Find more information on positions, requirements and online
application form at: mathematics-muenster.de/careers/apply


From: Stefano Pozza [email protected]
Date: September 30, 2021
Subject: PhD Position, Charles Univ, Czech Rep


The deadline for the following Ph.D. position has been postponed to
October 31, 2021.

A Ph.D. position is available within the framework of the Primus
Research Programme: "A Lanczos-like Method for the Time-Ordered
Exponential" at the Faculty of Mathematics and Physics, Charles
University, Prague.

The four years of Ph.D. studies will take place in the Department of
Numerical Mathematics under the supervision of Dr. Stefano Pozza (PI
of the project). The department offers an international environment at
one of the top universities in the Czech Republic, and the oldest
university in Central Europe. The student will also have the
opportunity to work with external collaborators from France, Italy,
and the UK.

The applicants must hold a Master's degree by the start date of Spring
2022 (to be announced) and have a strong interest in numerical linear
algebra and numerical analysis. Knowledge of Matlab or other
programming languages is necessary. Applicants will have to prove
their English language level by passing an exam (it is possible to
waive the examination under some conditions).

Application deadline: October 31, 2021.

More information and application instructions:
https://www.starlanczos.cz/open-positions


From: Antonio Frangioni [email protected]
Date: October 01, 2021
Subject: PhD Position, Energy Optimization, Univ of Pisa


The university of Pisa is currently accepting applications for a PhD
position at the intersection of computer science, optimization and
energy problems. This PhD position will be under the supervision of
Prof. Antonio Frangioni. The PhD candidate will also be in close
collaboration with researchers from EDF Lab (Paris Area) and further
researchers through the PGMO program. Part of the PhD will take place,
if sanitary measures permit it, at EDF Lab.

About the Institute: The Department of Computer Science of the
University of Pisa is the oldest of its kind in Italy, and the
Computer Science Ph.D. School has the same distinction. The Doctorate
accepts applications for all areas of Computer Science, Optimization
and Numerical Analysis.

Duration: Three years. The deadline for the application is October 15,
2021. The selection process is expected to be performed swiftly
thereafter and the activity to start before year's end.

Compensation: Standard Italian Ph.D. student fare, about 1150
Euro/month net. A contribution to increased living expenses will be
available to support the student during the foreseen stay abroad (at
least 6 months).

Requirements for the PhD position: basically any STEM Master degree
(Engineering, Mathematics, Computer Science, ...), decent English
level and very good academic record. Knowledge of optimization
techniques and software is a plus, as is resilience and a taste for
discovery.

Project abstract: In the "Fit for 55" climate package the EU has set
the world's most ambitious targets for the decarbonification of the
energy system (ES). Achieving those objectives requires all the
stakeholders to forecast the response of the ES to the possible
changes over long timescales. This requires building mathematical
models that take into account uncertainties, be multi-level and
multi-scale, and properly represent the many combinatorial and
nonlinear aspects of the ES. The corresponding monolithic optimization
problems are too large to tackle even on the best HPC systems. The
only approaches that can possibly tackle problems of this scale and
complexity without resorting to dramatic over-simplifications, as
customary in current strategic ES models, are decomposition ones,
since they are capable of exploiting all the several forms of
structure (scenarios, geographical and temporal scales) they
possess. However, standard modelling systems do not support implement
multi-level, heterogeneous decomposition approaches.

Further information can be found at
https://dottorato.di.unipi.it/6-special-scholarships-for-the-ph-d-school-in-computer-science-at-the-universities-of-pisa-florence-and-siena-on-innovation-and-green-research-projects/



From: Claas Abert [email protected]
Date: September 29, 2021
Subject: PhD Position, Numerical Micromagnetics, Univ of Vienna


The Physics of Functional Material Group is looking for a PhD student
in the area of numerical micromagnetics. The topic of the PhD thesis
is "Nodal finite-difference micromagnetics on distributed
systems". The aim of this PhD project is the development and
implementation of a novel nodal finite-difference approach for
micromagnetics that will combine the benefits of the finite-element
method and the finite-difference method. Namely, this hybrid method
will allow for a rigorous description of multiphase magnets by a
variational approach related to finite elements while making use of
fast convolution techniques known from finite- difference
micromagnetics. State-of the art tensor libraries such as
TensorFlow/Pytorch will be used in order to implement the novel
approach, enabling the use of modern distributed hardware such as
multi GPU machines.

Computational micromagnetics has a long history as a valuable tool for
the theoretical investigation of magnetic systems at the micron
scale. Despite massive advances in computing power, today's
micromagnetic simulations are still restricted to the micron sized
systems since the micromagnetic model calls for a very fine spatial
discretization in the single-digit nanometer regime. The FWF project
"Very largescale distributed micromagnetic research tools" aims to
push the boundaries of micromagnetic simulations towards larger
systems by introducing recent algorithms and technologies to numerical
micromagnetics which are particularly suited for d istributed systems
and novel hardware.

This position is funded for 3 years and is paid with a monthly gross
salary of 2 237.60E UR for 30 h/week.

If you are interested in this PhD project please send your application
documents ( motivational letter, CV, GitHub profile, ...) to Claas
Abert ( [email protected]).



From: Gabriel Lord [email protected]
Date: September 27, 2021
Subject: PhD Position, Numerical and Computational Analysis for Neuroscience


There is an opening for a 4 year PhD position at Radboud University,
Nijmegen, The Netherlands .

The project will analyse and implement numerical methods for
spatio-temporal patterns in a novel class of neural field models with
stochastic forcing and relate neural models to data

For more details see :
https://www.ru.nl/english/working-at/vacature/details-vacature/?
recid=3D1170571&pad=3D%2fenglish&doel=3Dembed&taal=3Duk

Women and other under represented PhD candidates are especially
encouraged to apply as we strive for equal representation.


From: Antonio Frangioni [email protected]
Date: October 01, 2021
Subject: PhD Position, Public Transport Optimization, Univ of Pisa


The Doctorate School of the Universities of Pisa, Firenze and Siena
has opened a special Ph.D. bourse on the topic "For an efficient
decarbonisation of Local Public Transport".

Detailed description: The "Fit for 55" package has set ambitious
emission reduction targets that can only be achieved with a
multifactorial approach. Local Public Transport (LPT) already offers
much lower emissions per passenger / km than owned cars. Increase
penetration of electric cars will lead, at constant rates, to a
reduction in emissions; but the electrification of the LPT fleet and
the increase in the share of multimodal journeys would lead to much
greater reductions. However, electrifying the LPT entails considerable
problems, related e.g. to the need for frequent charging stops, which
could lead to cost increases or decreases in Quality of Service (QoS),
and therefore to a decrease in the use of LPT which would be
detrimental to the decarbonisation objectives.

Duration: Three years. The deadline for the application is October 15,
2021. The selection process is expected to be performed swiftly
thereafter and the activity to start before year's end.

Requirements for the PhD position: basically any STEM Master degree
(Engineering, Mathematics, Computer Science, ...), decent English
level and very good academic record. Knowledge of optimization
techniques and software is a plus, as is resilience and a taste for
discovery.

Further information can be found at
https://dottorato.di.unipi.it/6-special-scholarships-for-the-ph-d-school-in-computer-science-at-the-universities-of-pisa-florence-and-siena-on-innovation-and-green-research-projects/


From: Communications on Applied Mathematics and Computation [email protected]
Date: September 26, 2021
Subject: Contents, Comm on Applied Mathematics and Computation, 3(3)


https://www.springer.com/journal/42967

Weighted Nuclear Norm Minimization-Based Regularization Method for
Image Restoration, Y.-M. Huang, H.-Y. Yan

Hermite-Discontinuous Galerkin Overset Grid Methods for the Scalar
Wave Equation, O. Beznosov, D. Appelo

Modulus-Based Multisplitting Iteration Method for a Class of Weakly
Nonlinear Complementarity Problem, G. Wang, F. Tan

Error Estimate of a Fully Discrete Local Discontinuous Galerkin Method
for Variable-Order Time-Fractional Diffusion Equations, L. Wei,
S. Zhai, X. Zhang

Adaptive Moving Mesh Central-Upwind Schemes for Hyperbolic System of
PDEs: Applications to Compressible Euler Equations and Granular
Hydrodynamics, A. Kurganov, Z. Qu , O.S. Rozanova, T. Wu

Arc Length-Based WENO Scheme for Hamilton-Jacobi Equations, R. Samala,
B. Biswas

Oscillation of Second-Order Half-Linear Neutral Advanced Differential
Equations, S. Shi, Z. Han

A Jacobi Spectral Collocation Method for Solving Fractional Integro-
Differential Equations, Q. Wu, Z. Wu, X. Zeng

A Weak Galerkin Harmonic Finite Element Method for Laplace Equation,
A. Al-Taweel, Y. Dong, S. Hussain, X. Wang

Approximations of the Fractional Integral and Numerical Solutions of
Fractional Integral Equations, Y. Dimitrov


From: Badih Ghusayni [email protected]
Date: October 01, 2021
Subject: Contents, Intl J Mathematics and Computer Science, 17 (1)


The following papers can be downloaded for free via:
http://ijmcs.future-in-tech.net/Volume17.1.htm

Aiyared Iampan, Daniel A. Romano, Congruence relations on pseudo-UP
Algebras

Phakhinkon Phunphayap, Tammatada Khemaratchatakumthorn, Patcharee
Sumritnorrapong, Fibonacci and Lucas Numbers of Factorials and
Factorials of Fibonacci and Lucas

Ibrahim Abdullahi, Wikanda Phaphan, Patcharee Sumritnorrapong, A
Generalization of Length-biased Nakagami Distribution

Wasim Audeh, Manal Al-Labadi, Some results about numerical radius
Inequalities

Ampika Boonmee, Maximal Intra-regular Submonoids and Relationship
between Some Regular Submonoids of Hyp_{G}(n)

Thidarat Thongsri, Klairung Samart, Composite Imputation Method for
the Multiple Linear Regression with Missing at Random Data

Kittisak Tinpun, The Relative Rank of OPR(X) Modulo O(X)

Mansour J. Algefari, Supereulerian Digraphs with Forbidden Induced
Subdigraphs Containing Short Semi-paths

Pornpimol Kunama, Sorasak Leeratanavalee, All intra-regular and
relationship between some regular submonoids of Relhyp((m),(n))

Ronnason Chinram, Napaporn Sarasit, On semigroups Z_n having n-1 and
n-2 monogenic subsemigroups

Kamon Budsaba, Wikanda Phaphan, Parameter Estimation for
Re-Parameterized Length-Biased Inverse Gaussian Distribution

Alvaro H. Salas, Lorenzo J. Martinez, David L. Ocampo, Analytical
Approximant to a Damped Pendulum Forced with a Constant Torque

Ronnason Chinram, Pattarawan Petchkaew, Saranya Hangsawat, A note of
2-distance balancing numbers

Jirapong Mekwian, Somsak Lekkoksung, Nareupanat Lekkoksung,
Characterizing Ordered Semihypergroups by Using Generalized Int-soft
Hyperideals

Chalermwut Comemuang, Wachirarak Orosram, Fourth order iterative
methods for solving nonlinear equations

Cholatis Suanoom, Jirayu Phuto, Thanatporn Bantaojai, Aiyared Iampan,
A novel derivation induced by some binary operations on d- algebras

Thammarat Panityakul, Mahwish Bano, Tasneem M. Shah, Dulyawit
Prangchumpol, An RGB Color Image Double Encryption Scheme

Thidaporn Supapakorn, Sukanya Intarapak, Witchanee Vuthipongse, A
Decision Tree for Information of Foreign Tourists Traveling to
Thailand

Suporn Jongpreechaharn, Kritsana Neammanee, Non-uniform bound on
normal approximation for call function of locally dependent random
variables

Randrianomenjanahary Rado Abraham, Andrianantenainarinoro Tsilavina
Ravo Hasina, Rakotonirina Dina Miora, New Result For Large Deviation
Principle For Stochastic Evolution Equations in the Besov- Orlicz
Space

Prisayarat Sangapate, Paweena Tangjuang, Chayakorn Somsila, Stability
Analysis and Adaptive Control of Spreading Tuberculosis Disease

Nipaporn Chutiman, Pannarat Guayjarernpanishk, Monchaya Chiangpradit,
Piyapatr Busababodhin, Saowanee Rattanawan, Tossapol Phoophiwfa,
Butsakorn Kong-ied, The Risk Area Assessment on Re- emerging Diseases
in Elderly People by Using Extreme Value Theory

Khaled Samiea Munshid, Mohanad Farhan Hamid, Jehad Ramadan Kider,
Principally Self Injective Modules

Mohammad Nazrul Islam Khan, Submanifolds of a Riemannian manifold
endowed with a new type of semi-symmetric non-metric connection in the
tangent bundle

Alvaro H. Salas, Jairo E. Castillo, Jorge E. Pinzon, Solution of
Duffing's differential equation by means of elementary functions and
its application to a non-linear electrical circuit

Ibrahim Jawarneh, Nerseen Alsharman, The Classification of Arch
Fingerprint Using Mathematical Model and Deep Learning Features
Selection

Watcharapon Pimsert, Thorranin Thansri, On the square-free and
square-full solutions of polynomial congruences

Saba Salah Majeed, Ahmed Abed Ali Omran, Manal Naji Yaqoob, Modern
Roman Domination of Corona of Cycle graph with Some Certain Graphs

Nuchanat Tiprachot, Nareupanat Lekkoksung, A note on almost alpha-
ideals in semigroups

Hasan Almefleh, Rami AlAhmad, Phragmen-Lindelof Theorem at infinity

Thiti Gaketem, P. Khamrot, Bipolar fuzzy almost bi-ideal in semigroups

Mansour J. Algefari, Constructing Supereulerian Digraphs by Control
Function of Arc-Connectivity and Matching Number

Thammarat Panityakul, Wisanuwee Suriyaamorn, Ronnason Chinram,
Noodchanath Kongchouy, Classification models for employability of
statistics and related fields graduates from Thailand universities

Yusuf Hafidh, Edy Tri Baskoro, On the locating chromatic number of
trees

Kittisak Saengsura, Tiang Poomsa-ard, Hyperidentities in Graph
Varieties Generated by Some Linear Term Equations

Israa Ali Alshabeeb, Ruaa Majeed Azeez, Wafaa Mohammed Ridha Shakir,
Machine Learning Techniques and Forecasting Methods for Analyzing and
Predicting Covid-19

Alvaro H. Salas, S. A. El-Tantawy, Jairo H. Castillo, Analytical
Solution to the Damped Cubic-Quintic Duffing Equation

Mohammed A. Alabbood, On Some Exponential Diophantine Equations

Jorge E. Pinzon, Alvaro H. Salas, Jairo E. Castillo, Non-static
solutions of the Einstein equation in the vacuum

Wachirarak Orosram, Ariya Unchai, On the Diophantine Equation
2^{2nx}-p^y=3Dz^2 , where p is a prime

Matthew Ellison, Joseph Johnson, Monotonicity of Code Symbol
Frequencies in Recency Rank Encoding

Sara Salah Mohamed, Prediction of Estrogen Receptor alpha Antagonists
Using Deep Neural Network

Wandee Wanishsakpong, Jeeraporn Thaithanan, Bright Emmanuel Owusu,
Tahiru Mahama, Comparing the efficiency levels of Multiple Comparison
Methods for Normal Distributed Observations

Utsanee Leerawat, Pongsatorn Chotchaya, On permuting n-(f,g)-
derivations of lattices

J. V. L. Chew, J. Sulaiman, A. Sunarto, J. Pradeepkandhasamy,
Application and efficiency evaluation of 4-point Newton Explicit Group
to solve 2D porous medium equation


From: Gamar [email protected]
Date: September 30, 2021
Subject: Contents, TWMS J Pure and Applied Mathematics, 12 (2)


CONTENTS:
TWMS Journal of Pure and Applied Mathematics, Vol. 12, No.2, 2021
http://www.twmsj.az, ISSN 2076-2585

Some New Classes of Strongly Generalized Preinvex Functions,
M.A. Noor, K.I. Noor

Extended Kung-Traub-Type Method for Solving Equations, I.K. Argyros,
S. George

The Cauchy Problem for Degenerate Parabolic Convolution Equation,
H.K. Musaev

Two-Stage Procedure of Parameterization of Stabilizing Controllers
Applied to Quadrotor Flight Control, V.B. Larin, A.A. Tunik

Different Types of Ideals and Homomorphisms of (m; n)-Semirings,
B. Davvaz, F. Mohammadi

Dynamics of the Moving Ring-Load Acting in the Interior of the Bi-
Layered Hollow Cylinder with Imperfect Contact between the Layers,
S.D. Akbarov,, M.A. Mehdiyev, A.M. Zeynalov

Asymptotic Reduction of Solution Space Dimension for Dynamical
Systems, P.S. Pankov, Zh.K. Zheentaeva

Calderon-Zygmund Operators with Kernels of Dini's Type and their
Multilinear Commutators on Generalized Weighted Morrey Spaces,
V.S. Guliyev, A.F. Ismayilova

Fixed Point on Convex b-Metric Space via Admissible Mappings,
E. Karapinar, A. Fulga


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