NA Digest, V. 24, # 11

NA Digest Monday, August 26, 2024 Volume 24 : Issue 11


Today's Editor:

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

Today's Topics: Subscribe, unsubscribe, change address, or for na-digest archives: https://na-digest.coecis.cornell.edu/

Submissions for NA Digest:

https://na-digest.coecis.cornell.edu/


From: Danny Dunlavy nadigest.editor@gmail.com
Date: August 26, 2024
Subject: IMPORTANT: NA Digest moving to Cornell University


Starting with the next issue, NA Digest will move to Cornell
University, where it will be edited by David Bindel and Alex
Townsend. Mails will come via the Cornell Lyris e-mail list service.
The archived issues, submission form, and FAQ (including descriptions
of how to subscribe and unsubscribe) are now hosted at

https://na-digest.coecis.cornell.edu/

The first issue from the new system should be sent on Friday,
September 6. If you believe you should be subscribed and do not
receive an issue, please check to make sure that it is not caught by
your spam filters.


From: Peter Schorer peteschorer@gmail.com
Date: July 24, 2024
Subject: A proof of Goldbach's Conjecture


In the past year, there have been close to 1,000 visits to this
two-page proof of the hitherto unproved Conjecture, which asserts that
each even positive integer is the sum of two primes. There has been
not one claim of an error. See "A Proof of Goldbach's Conjecture" in
occampress.com. (The paper contains a second two-page proof.)
Comments will be welcomed.



From: Eleuterio F. Toro eleuterio.toro@unitn.it
Date: August 22, 2024
Subject: New Book, Computational Algorithms for Shallow Water Equations


Computational algorithms for shallow water equations by
Eleuterio F. Toro

This book deals with computational methods for solving systems of
shallow water equations within the broader field of geophysical fluid
dynamics. Such systems, comprised of hyperbolic partial differential
equations, serve as mathematical models for simulating the dynamics of
water flows in open channels, rivers, lakes, and oceans. Practical
applications range from modelling oceanic tides to the breaking of
waves on shallow beaches, roll waves in open channels, flood waves in
rivers, dam-break waves, tsunami wave propagation, and various
environmental fluid dynamics scenarios. Mathematical models of the
shallow-water type are also employed for simulating gas dynamics, such
as the dispersion of heavy gases over the Earth's surface and
atmospheric dynamics. However, the physical complexity of time-
dependent, three-dimensional oceanic and atmospheric flows
necessitates more comprehensive mathematical models than shallow-
water type systems alone. Nevertheless, the basic, one-layer shallow
water equations play a crucial role in providing benchmark solutions
for assessing methodologies intended for more complex models.
Significantly, multilayer shallow water models are currently
undergoing major developments in oceanic and atmospheric dynamics,
where the underlying concepts and methodologies from the basic
one-layer shallow water equations in this book find
applicability. This book offers fundamental concepts and methods
essential for constructing advanced high-order computational
algorithms within the frameworks of finite volume and discontinuous
Galerkin finite element methods. The finite volume methodology is
developed in full detail, presenting non-linear, fully discrete
high-order upwind and centred methods for solving the non-linear,
time-dependent two-dimensional shallow water equations.

Springer link:
https://link.springer.com/book/10.1007/978-3-031-61395-1.


From: Pamela Bye conferences@ima.org.uk
Date: July 31, 2024
Subject: Course for New Lecturers, Mathematical Sciences, UK, Sep 2024


Monday 16th September - Tuesday 17th September 2024
Isaac Newton Institute for Mathematical Sciences, Cambridge CB3 0EH UK
#IMANewLecturers2024
https://ima.org.uk/24056/induction-course-for-new-lecturers-in-the-mathematical-sciences-2024/

Through a community initiative supported by the Institute of
Mathematics and its Applications, the Isaac Newton Institute for
Mathematical Sciences and the Heads of Departments of Mathematical
Sciences (HoDoMS) and endorsed by the Royal Statistical Society, the
London Mathematical Society, and the Edinburgh Mathematical Society,
we are delighted to announce that in September 2024 the two-day
Induction Course for lecturers new to teaching mathematics and
statistics within Higher Education will once again take place. The
Induction Course is delivered as an in-person only activity to
maximise the opportunities for informal networking and discussion that
have long formed a highly-valued part of this meeting. The Induction
Course for New Lecturers in the Mathematical Sciences has been
designed by the mathematics community so that it is ideally suited for
anyone who is new to or has limited experience teaching mathematics or
statistics within UK higher education. It will be delivered by
individuals with significant experience of teaching in the
mathematical sciences and will focus upon the specific details and
issues that arise in mathematics and statistics teaching and learning
within higher education including topics such as: Lecturing;
Supporting student learning; Making teaching interactive; Assessment,
examinations and feedback; Linking teaching & research; Using
technology to enhance teaching and learning; Using examples and
mathematical problem solving; Teaching statistics and its
applications.

Registration is now open via https://my.ima.org.uk/.
Registration closes: 9th September 2024

A full programme for the Induction Course will be released in August
2024, but for questions or queries about the academic content or
structure of the Induction Course, please contact Michael Grove:
m.j.grove@bham.ac.uk

For general conference queries, accommodation or timing information
please contact: conferences@ima.org.uk


From: Samira Kabri samira.kabri@desy.de
Date: August 09, 2024
Subject: Deep Learning in Inverse Problems, Germany, Sep 2024


We would like to draw your attention to the workshop on Deep Learning
in Inverse Problems taking place at Deutsches Elektronen-Synchrotron
(DESY), Hamburg on 23./24. September 2024.

The workshop will focus on novel developments on learning based
methods for inverse problems, including supervised learning and
unsupervised learning such as learned regularizations and generative
models for Bayesian inversion. Particular emphasis will be put on the
understanding of foundations of learning in this area as well as novel
applications including problems in imaging and speech/audio
processing.

Registration as well as submission of abstracts for talks and posters
is now open on the official website
https://indico.desy.de/event/45763/


From: Pamela Bye conferences@ima.org.uk
Date: July 26, 2024
Subject: IMA AI/ML Congress, UK, Sep 2024


Unlocking the potential: The IMA AI/ML Congress 2024
Wednesday September 4 - Thursday September 5 2024
The Studio, 7 Cannon Street, Birmingham, UK, B2 5EP
https://ima.org.uk/23193/unlocking-the-potential-the-ima-ai-ml-congress-2024/

Join us at the forefront of innovation! The Institute of Mathematics
and its Applications is proud to present the AI/ML Congress 2024 -- an
inclusive gathering of academics, industrialists, and AI enthusiasts
from diverse fields. Explore the limitless possibilities of Artificial
Intelligence and Machine Learning through engaging presentations,
panel discussions, and unparalleled networking opportunities.

- Healthcare: Witness the transformative power of AI in
revolutionising medical diagnosis, treatment planning, and drug
discovery.
- Finance: Explore the intricate interplay of AI in financial
modelling, risk assessment, and fraud detection.
- Environment: Discover AI's role in fostering sustainable practices,
optimising resource utilisation, and combating climate change.
- Manufacturing: Witness the seamless integration of AI in
streamlining production processes, enhancing product quality, and
optimising supply chains.
- Retail: Immerse yourself in the personalised shopping experiences
powered by AI, from product recommendations to predictive analytics.
- Legal: Discover AI's transformative impact on legal research,
contract generation and review, and dispute resolution.
- Media: Explore the innovative applications of AI in content
creation, speech/audio recognition, and sentiment analysis.

Panel Discussions: Unleashing Novel Applications and Emerging Trends.

Invited Speakers:
- Nadim Aslam, Worcestershire Knee and Hip Clinic, Rise of the
Machines: Robotic Assisted Knee and Hip Replacement Surgery
- Professor Nira Chamberlain OBE, AtkinsRealis/Technical Fellow for
Mathematical Modelling, Gauss is Wrong! The Good, the Bad and the AI
- Michael Ormond, Senior Science Communication Manager, Stryker
- Professor Chris Budd OBE, FIMA, University of Bath, Can you tell a
mathematician from a fish?



From: Ilya Peshkov ilya.peshkov@unitn.it
Date: July 24, 2024
Subject: Numerical Methods for Environmental Modeling, HYBRID, Sep 2024


Online Course: Advanced Numerical Methods for Environmental Modeling
Laboratory of Applied Mathematics, University of Trento, Italy
On site and online via ZOOM

Lecturers: Profs. Ilya Peshkov, Annunziato Siviglia
Dates: 16 September - 04 October 2024
Course fee: 216 EUR (online)
Target: Master and PhD students, researchers and practitioners in
applied mathematics, scientific computing, computational
physics and computational mechanics.

Summary: The course consists of a structured intensive 3 week program
of 75 hours (5 hours/day) of theoretical lectures and computer
laboratory exercises on advanced numerical methods for hyperbolic and
nonlinear parabolic partial differential equations with applications
in environmental engineering and science. The course covers standard
explicit and flux-splitting finite volume methods for hyperbolic
equations, semi-implicit finite volume methods for hyperbolic and
nonlinear parabolic equations, e.g. sediment transport (Exner
equation), solidification (icing, Stefan model), ecomorphodynamic
(vegetation growth, death, and mutual interaction with
sediments). Special emphasis is put on practical implementation of the
discussed numerical methods.

Further information (registration, program) can be found in the
dedicated web page:
https://sites.google.com/unitn.it/environmental-modeling-course/
or via contacting Prof. Ilya Peshkov at ilya.peshkov@unitn.it.


From: Tulin Kaman tkaman@uark.edu
Date: August 12, 2024
Subject: Workshop Honoring James Glimm's 90th Birthday, USA, Sep 2024


ICERM Modeling and Simulations in Fluids
Providence, Rhode Island, USA
September 7, 2024 - September 8, 2024
In honor of James Glimm
https://icerm.brown.edu/events/htw-24-msf/

Understanding the dynamics of unpredictable systems such as turbulent
mixing and combustion has been one of the most important as well as
challenging problems in scientific and engineering applications. The
validation, verification and uncertainty quantification (VVUQ) studies
are crucial to achieve reliable and accurate results through
high-fidelity multi- physics and multiscale modeling and
simulations. This workshop honors James Glimm, member of the National
Academy of Science and the American Academy of Arts and Sciences, and
winner of the National Medal of Science for his outstanding
contributions to computational fluid dynamics.

Invited Speakers:
- Snezhana Abarzhi, University of Western Australia
- Ann Almgren, Lawrence Berkeley National Laboratory
- Jacqueline Chen, Sandia National Laboratories
- Gui-Qiang Chen, University of Oxford
- Phillip Colella, Lawrence Berkeley National Laboratory
- James Glimm, Stony Brook University
- David Keyes, King Abdullah University of Science and Technology
- Chi-Wang Shu, Brown University
- Katepalli Sreenivasan, New York University
- Gretar Tryggvason, Johns Hopkins University
- Laurette Tuckerman, Sorbonne Universite
- Yanni Zeng, University of Alabama at Birmingham


From: Ishaan Desai ishaan.desai@ipvs.uni-stuttgart.de
Date: August 19, 2024
Subject: Workshop on the preCICE Coupling Library, Germany, Sep 2024


The 5th preCICE (https://precice.org/) workshop will be at the
University of Stuttgart from 24-27 September 2024. A wide range of
user and developer talks, a poster session, a world cafe, and an
entire day for user support, make this workshop highly interactive and
of potential high impact.

Registration for the workshop is open:
https://precice.org/precice-workshop-2024.html#registration

New users and people who are interested in preCICE are especially
invited to attend.



From: Pierre Gosselet pierre.gosselet@univ-lille.fr
Date: August 26, 2024
Subject: Domain Decomposition and Multigrid, Italy, Oct 2024


CISM advanced course, Udine, Italy. Oct. 21 to Oct. 25, 2024

Domain Decomposition and Multigrid Methods for Computational Structure
Mechanics

This course aims at presenting state-of-the-art domain decomposition
and multigrid solvers for solid mechanics. The course will balance
theoretical and practical aspects, as well as mathematical and
mechanical points of view. The course will also discuss the open
source software libraries which propose implementations of the
methods, in particular PETSc.

The course is intended for graduate students working in computational
structure mechanics, numerical analysis of partial differential
equations, and high-performance computing. The content will also be
very appealing for mechanical or civil engineers from industry seeking
high performance, where the characteristic size of critical phenomena
is very small compared to the structure.

For detailed agenda and registration see:
https://www.cism.it/en/activities/courses/C2421/



From: Guosheng Fu gfu@nd.edu
Date: August 08, 2024
Subject: Finite Element Circus, USA, Oct 2024


The Fall 24 Finite Element Circus will be held at University of
Maryland, Baltimore County, October 18-19, 2024. The conference
website can be found at this link:
https://userpages.umbc.edu/~draga/circus2024/

There, you will find registration, lodging, and travel information.

The Finite Element Circus is a regular conference devoted to the
theory and applications of the finite element method, and related
areas of numerical analysis and partial differential equations. See
its rich history at this link: https://sites.google.com/view/fecircus

For more information, please contact local organizer Andrei Draganescu
(draga@umbc.edu) and Maggie Kennedy (maggie.kennedy@umbc.edu).



From: Tzanio Kolev kolev1@llnl.gov
Date: August 11, 2024
Subject: MFEM Community Workshop, HYBRID, Oct 2024


The 2024 MFEM Community Workshop will take place on October 22^S24,
2024 in a hybrid format: in-person at Lawrence Livermore National
Laboratory + virtually on Zoom.

For more information, please see the workshop webpage at
https://mfem.org/workshop

The workshop's goals are to foster collaboration among all users and
developers of the MFEM finite element library, share the latest MFEM
features with the broader community, deepen application engagements,
and solicit feedback to guide future development directions.

We would like to invite all who are interested in MFEM, as well as
anyone in the broader finite element community, to join this
workshop. If you are interested, please register by October 15.

The registration form includes space to indicate your interest in
giving a 30-minute talk or a 10-minute lightning talk for a student
showcase.

We will also be hosting a simulation and visualization competition for
registered participants.

In-person attendees will receive a follow-up form for the registration
fee and will be welcomed to select optional MFEM-branded items for
purchase.There is no registration fee for remote participants.



From: Peter Benner benner@mpi-magdeburg.mpg.de
Date: July 15, 2024
Subject: MaRDI Workshop on Scientific Computing, Germany, Oct 2024


With the second "MaRDI (Mathematical Research Data Initiative within
the National Research Data Infrastructure of Germany) Workshop on
Scientific Computing", we aim to bring together researchers from the
Scientific Computing community and related disciplines, who are
interested in the FAIRness of their research data. Apart from
presentations on the current MaRDI projects and selected keynote
talks, we will leave generous room for discussions. Further, we invite
participants to contribute talks related to the following topics:
Knowledge graphs and ontologies; Research Software
(Engineering/Interfaces/Management); Benchmarks; Formal workflow
descriptions; Reproduction of numerical experiments; Research data
management.

Participants are encouraged to present work in progress, open problems
or report on personal experiences.

The workshop will take place at the Max Planck Institute for Dynamics
of Complex Technical Systems in Magdeburg (Germany), October 16-18,
2024.

Registration and detailed information can be found at
https://indico3.mpi-magdeburg.mpg.de/event/42/overview


From: Traian Iliescu iliescu@vt.edu
Date: August 15, 2024
Subject: ROM, ML, and LES Conference, USA, Oct 2024


The "Reduced Order Modeling and Machine Learning for Large Eddy
Simulation and Related Topics (ROM+ML4LES+)" conference will be
organized in person at Emory University from October 13-15, 2024.

The main purpose of the conference is to serve as a forum for the ROM,
ML, and LES communities to exchange their views on both the
achievements and the open problems in numerical simulation of
turbulent flows. The conference aims at bridging the ROM, ML, and LES
communities to develop the next generation of models for turbulent
flows.

The conference will feature lectures from both senior and junior
speakers, as well as a poster session. A webpage for the conference
has been created and will be continuously updated:
https://math.emory.edu/site/romml4les/

The link to submit the abstracts, which can also be found on the
conference webpage, is
https://docs.google.com/forms/d/1ABS85BsXT3Og_J7LV2GgguPIxicTJWq1sEV0z5nNwe8/viewform?edit_requested=true

Please submit an abstract and encourage your group to submit an
abstract, too.


From: John Zweck zweck@utdallas.edu
Date: July 18, 2024
Subject: SIAM TX-LA 7th Annual Conference, Oct 2024


The 7th annual meeting of the SIAM Texas-Louisiana section will be
held at Baylor University, Friday October 11th to Sunday October 13th.

Our plenary speakers for this year are

- Carrie Manore (Los Alamos National Lab)
- Per-Gunnar Martinsson (UT Austin)
- Beatrice Riviere (Rice University)
- Hal Schenck (Auburn)

In addition, the conference will feature mini-symposia, poster
sessions and a career panel. Some student travel support will be
available for eligible applicants.

Please see the annual meeting website
https://math.artsandsciences.baylor.edu/conferences/siam-conference
for more information.


From: Ricardo Ruiz Baier ricardo.ruizbaier@monash.edu
Date: August 19, 2024
Subject: Computational Techniques and Applications, Australia, Nov 2024


At Monash University, Melbourne we are hosting this year's edition of
CTAC during November 19-22.

The CTAC meetings are the main event in numerical mathematics and
scientific computing in Australia, and have been taking place
biennially since 1981. This year's event features a combination of
plenary/keynote and contributed talks.

Confirmed plenary/keynote speakers: Santiago Badia, Monash U;
Fleurianne Bertrand, TU Chemnitz; Victor Calo, Curtin U; Carsten
Carstensen, Humboldt-U Berlin; Vivien Challis, QUT; Nilima Nigam,
Simon Fraser U; Vijay Rajagopal, U Melbourne; Dingxuan Zhou, U Sydney

Early bird registration has been extended until September 1, 2024 and
the abstract submission closes on October 1, 2024. All necessary
information about the conference and the submission process can be
accessed from
https://www.monash.edu/science/schools/school-of-mathematics/ctac2024

Further inquires can be directed to the organising committee at
ctac2024@monash.edu


From: Jakob Sauer Jørgensen jakj@dtu.dk
Date: August 12, 2024
Subject: Core Imaging Library User Meeting, UK, Nov 2024


The team behind the Core Imaging Library (CIL) cordially invites
participants for the 2nd annual CIL User Meeting:

Dates: 4-7 November 2024
Location: Rutherford Appleton Laboratory, Harwell, UK
Info & registration: https://ccpi.ac.uk/events/cil-user-meeting-2024

- Participate in hands-on CIL training with introductory and advanced
tracks.
- Explore diverse CIL applications presented by users across various
fields.
- Present your own CIL-based work and exchange ideas with fellow users
and developers.
- Contribute to future CIL developments in townhall discussions.
- Join our "Bring Your Own Data" hackathon, a collaborative coding
event to get your own data or problem set up in CIL with support
from CIL developers -- or work together to add cool new features to
CIL and become an official contributor!

Whether experienced or new to CIL and whether working in X-ray CT or
another imaging area -- do join us for this informal and fun event!

Please contact me with any questions.
We hope to see you there.




From: Niall Madden Niall.Madden@UniversityOfGalway.ie
Date: August 16, 2024
Subject: 21st Layer Phenomena Workshop, Ireland, Apr 2025


The 21th Workshop on Numerical Methods for Problems with Layer
Phenomena will take place on the 24th and 25th of April, 2025, at
University of Galway.

This two day workshop will bring together researchers who have
interests in the design, numerical analysis, and applications of
algorithms for the many problems that exhibit layer phenomena, such as
boundary and interior layers.

Registration is free. Refreshments will be provided during
breaks. Lunch, the conference dinner, travel, accommodation, etc., are
at the participants' expense.

All participants are welcome to contribute a talk. The deadline for
registration and abstracts is Friday, 28 March 2025.

For more information, see
https://www.niallmadden.ie/LayerPhenomena2025


From: Sander Rhebergen srheberg@uwaterloo.ca
Date: July 29, 2024
Subject: ICOSAHOM, Canada, Jul 2025


We are excited to announce that the 2025 International Conference on
Spectral and High-Order Methods (ICOSAHOM) will take place from July
13-18, 2025, in beautiful Montreal, Quebec. We eagerly anticipate
welcoming you to the conference.

We are currently accepting proposals for minisymposia. If you are
interested in organizing a minisymposium, please submit your proposal
by October 15, 2024 through the following link:
https://icosahom2025.org/.

For any inquiries, feel free to contact us at icosahom2025@gmail.com.


From: Tobias Jahnke tobias.jahnke@kit.edu
Date: August 07, 2024
Subject: Junior Research Group Leader Position, NA of PDEs, KIT, Germany


The Collaborative Research Center 'Wave phenomena - Analysis and
Numerics' at Karlsruhe Institute of Technology (Germany) invites
applications for the position of a Junior Research Group Leader
(f/m/d) in Numerical Analysis of Partial Differential Equations with a
research focus related to wave phenomena.

As a successful candidate, you will benefit from an excellent research
environment in which you can independently develop your own research
project. The position is endowed with a Ph.D. position and a budget
for travel and guests. It is temporary with a duration of four years.

More information can be found here:
https://www.waves.kit.edu/joboffers.php

Please apply online via office@waves.kit.edu until September 30th,
2024. For further information,please contact Prof. Dr. Marlis
Hochbruck (marlis.hochbruck@kit.edu).


From: Daniel Kressner daniel.kressner@epfl.ch
Date: August 20, 2024
Subject: Faculty Position, Comp/Applied Mathematics, EPFL, Switzerland


The School of Basic Sciences at EPFL seeks to appoint a tenured
Associate/Full Professor in Computational and Applied Mathematics.

For details see https://go.epfl.ch/compmath2024

Application deadline: 15 November 2024


From: Antonio Frangioni frangio@di.unipi.it
Date: July 31, 2024
Subject: Tenure-Track Position, Operations Research, Univ of Pisa, Italy


The Department of Computer Science of the University of Pisa is happy
to announce the opening of a tenure-track associate professor position
(RTT) in Operations Research. It is a 6-years fixed-term contract,
including teaching duties, that becomes permanent upon condition of
acquiring the Italian National Habilitation as Associate Professor
within the period. Italian language is not strictly required (teaching
duties in English are possible), but since this is in prospect a
permanent position it should be acquired in the mid-term.

The position arises in the context of the Operations Research group at
the Department, counting five permanent professors and three
fixed-term ones, with varied research interests in methodologies such
as discrete and nonlinear optimization, game theory, and variational
problems, pursuing applications in various domains such as energy,
logistics, telecommunications, and healthcare, and actively
collaborating with colleagues in numerical analysis, algorithmics,
parallel computing, machine learning, and others.

More information is available at https://commalab.di.unipi.it

Researchers working in all areas of Operations Research are welcome to
apply.

Full details on the application procedure can be found at
https://bandi.unipi.it/public/Bandi/Detail/3745280f-4e52-4bfa-ac33-489000cfc817

Deadline for the application is August, 29@13:00, Italian time. Feel
free to contact any Operations Research professor of the Department
for further information.


From: Marie Stöbe jobs@wias-berlin.de
Date: August 20, 2024
Subject: Research Assistant Position, WIAS Berlin, Germany


The Weierstrass Institute for Applied Analysis and Stochastics (WIAS)
is an institute of the Forschungsverbund Berlin e.V. (FVB). The FVB
comprises seven non-university research institutes in Berlin which are
funded by the federal and state governments. The research institutes
belong to the Leibniz Association.

WIAS invites applications for a Research Assistant Position (f/m/d)
(Ref. 24/14) in the Research Group 'Numerical Mathematics and
Scientific Computing' (Acting Head: Prof. Dr. V. John) starting
1. November 2024. The position is framed into a collaborative
research project involving several leading European research
institutions, aimed at developing a scalable, high-performance
computational platform for digital twins of human organs using the
deal.II library (https://www.dealii.org/). The role of WIAS (PI
Alfonso Caiazzo) will be to develop a prototype of a liver mechanics
simulator accounting for multiscale processes (coupling of mechanics
and vasculature) and integrating data assimilation methods to enable
model personalization based on available clinical or preclinical data.

We are looking for: A highly motivated researcher with a PhD in a
field related to computational mechanics, numerical methods for
partial differential equations, computational multiscale models, with
the willingness to engage on innovative and interdisciplinary research
questions. The successful candidate will be hosted by the research
group Numerical Mathematics and Scientific Computing (head: Prof. V.
John) and she/he is expected to work in close collaboration with
project partners. A strong background in at least one of these areas
is required: scientific and high-performance computing, computational
mechanics, reduced- order models. Experience with scientific
object-oriented programming languages (C++, Python) is very
relevant. Knowledge of deal.II is desirable but not required. The
position does not require knowledge of German languages and
international applications are welcomed.

Please upload complete application documents including cover letter,
curriculum vitae, certificates, and a copy of your Ph.D. thesis (or
relevant publications) as soon as possible via our online
job-application facility (https://short.sg/j/48445723) using the
button 'Apply online' (https://short.sg/a/48445723).

The advertisement is open with immediate effect and will remain open
until the position will be filled.

See here for more information:
https://www.wias-berlin.de/jobs/index.jsp?lang=1
https://wias-berlin.softgarden.io/de/vacancies


From: Philip Moseley philip.moseley@akselos.com
Date: August 20, 2024
Subject: Postdoc Position, CFD and ML, EPFL, Switzerland


The research group of Professor Marco Picasso at EPFL in Lausanne
Switzerland, in collaboration with Akselos S.A. (scale-up at EPFL
Innovation Park), is seeking a highly motivated postdoctoral
researcher for a 2-year position. An ideal candidate will have
expertise in Computational Fluid Dynamics (CFD), Domain Decomposition
methods, and Neural Networks, with strong programming skills in Python
(additional skills in C++ a bonus). This role is focused on
industry-driven research, with a clear trajectory towards a career in
industry.

Preferred start date: As soon as possible.

Contact: philip.moseley@akselos.com


From: Antonio Rocha redeiara.uff@gmail.com
Date: July 12, 2024
Subject: Postdoc Position, IARA, Brazil


A postdoctoral position is open to work on research that will
investigate the use of machine learning and complex networks in
multidimensional time series of urban data, with a focus on carrying
out analysis and prediction of different attributes, with a focus on
solving problems linked to smart and sustainable cities. This
postdoctoral position is within the scope of a subproject of the
Center of Artificial Intelligence in the Remarking of Urban
Environments (IARA). Under coordination of by Andre de Carvalho (USP
Sao Carlos), IARA is supported by FAPESP through its Applied Research
Centers (CPA) program and features various research institutes and
companies as partners. This subproject is coordinated by professor
Alexandre Plastino in collaboration with professor Antonio Augusto de
Aragao Rocha, both from the UFF Computing Institute - Niteroi, where
the researcher will work.

Extra information about the IARA Center can be found at
https://iara.science/.

More information about the UFF - Niteroi Computing Institute can be
found at https://www.ic.uff.br/.

The candidate is expected to have strong experience in complex
networks and machine learning. Requirements also include: (i) PhD in
Computer Science or related field, in less than 7 years; (ii) Strong
publication record in the project area, mainly in journals with a high
impact factor; (iii) Very good knowledge of written and spoken
English; and, (iv) Good knowledge of programming languages and
statistical tools.

For those interested in this opportunity, please send, by 07/29/2024,
to the coordinators of this subproject, via email
"redeiara.uff@gmail.com", mentioning in the subject 'Application to
IARA post-doctoral position at UFF' , the following attachments: (i)
Letter of interest and presentation, with complete contact
information, year of graduation and including names and contact
information of 2 professional reference (Maximum 1400 characters);
and, (ii) CV with history of publications and previous participation
in research projects.


From: Michal Outrata outrata@karlin.mff.cuni.cz
Date: July 26, 2024
Subject: Postdoc Position, NA, Charles Univ, Czech Republic


The Faculty of Mathematics and Physics at Charles University invites
applicants for a 2-year postdoctoral researcher positions in numerical
linear algebra and domain decomposition methods. The position is
funded by the Primus research programme "Divide, Conquer and Optimize"
and offers a possibility for further extension.

The project involves working with high-performance computing
techniques, such as mixed precision computations and hierarchical
matrix formats, within the framework of domain decomposition methods,
their analysis and optimization. Our new team member should have a PhD
in applied mathematics, computer science, physics or a related field
with a strong background in one of the following areas: domain
decomposition methods, hierarchical matrix formats, mixed precision
computations or numerical linear algebra.

The position is open from January 1, 2025 but the starting date is
very much negotiable. The position will stay open until filled but for
full consideration the application should be submitted by October 15,
2024.

Details on the project and on the application submission can be found
at https://michaloutrata.com/#PrimusProject


From: Armin Iske armin.iske@uni-hamburg.de
Date: July 19, 2024
Subject: Postdoc Position, Numerical Approximation, Germany


I wish to advertise an opening for one postdoctoral position in the
Collaborative Research Center TRR181 'Energy Transfers in Atmosphere
and Ocean' (see https://www.trr-energytransfers.de/), project M5,
funded by the German Research Foundation (DFG).

Successful candidates must hold a PhD in applied mathematics, physics
or geosciences, and they are required to have a strong background in
numerical approximation (theory, algorithms and implementation).

The postdoc is for two years and can be filled from January 2025.
Applicants are requested to follow the instructions in the job
announcement, which is accessible through
https://www.uni-hamburg.de/stellenangebote/ausschreibung.html?jobID=f9f7331b4147ae77aa4eb4945977f3d34e555d0c


From: Ahmad Abdelfattah ahmad@icl.utk.edu
Date: July 18, 2024
Subject: Postdoc Position, Univ of Tennessee, Knoxville, USA


The Innovative Computing Laboratory (ICL) at the University of
Tennessee, Knoxville has an opening position for a full-time
postdoctoral research associate in the linear algebra group. We invite
applicants with fresh PhD degrees, or those who are graduating within
3 months, to apply for this opportunity.

The position is available immediately. The candidate's primary
responsibility is to work on the distributed implementation of the
Fast Fourier Transform (FFT) on large scale HPC systems with
GPUs. This includes performance benchmarking on several systems with
different MPI implementations, performance optimizations, profiling,
analysis, and developing new features for distributed FFT computation
as necessary.

For more information, please visit: https://icl.utk.edu/jobs


From: CeMEAI acbd@icmc.usp.br
Date: August 13, 2024
Subject: Postdoc Positions, Computer Science, Univ of Sao Paulo, Brazil


The Institute of Mathematical and Computer Sciences (ICMC) at the
University of Sao Paulo, Sao Carlos Campus, is accepting applications
for 2 postdoctoral positions. The fellowships are funded by The Sao
Paulo Research Foundation (FAPESP) and are valid for 12 months.

The candidate will be able to contribute to projects involving remote
sensing data, water modeling, health, agriculture, food, among others.
Candidates must have obtained a doctorate within the last 7 years in
the area of Exact Sciences or related areas. A strong publication
record and previous experience in data engineering, data aggregation,
data science, visualization, multi-criteria decision making,
evolutionary algorithms, and machine learning are highly
desirable. Candidates are expected to work in a highly collaborative
and multidisciplinary environment with other postdoctoral fellows,
doctoral and undergraduate students, as well as faculty
members. Analytical, communication, and writing skills are essential.

To apply, please send by email (PDF files only) the following items to
both acbd@icmc.usp.br and fermarreta@icmc.usp.br, by August 29, 2024:
1. Cover letter including names and contact information of three
references; 2. Resume; 3. Academic transcript. Indicate "CEPID
Postdoc" in the subject field of the message.


From: Aretha Teckentrup a.teckentrup@ed.ac.uk
Date: August 13, 2024
Subject: Postdoc Positions, Foundations of AI, UK


Five three-year postdoc positions, one each at the Universities of
Bristol, Edinburgh, Lancaster, Manchester and Warwick are now
available to support the core research activities of the Prob AI
(Probabilistic AI) Hub. The Prob AI Hub is an 8.5 million GBP
multi-institution initiative funded by the EPSRC to progress research
on the Mathematical and Computational Foundations of AI.

We are looking to put together a team of postdocs with broad expertise
spanning Bayesian statistics, computational statistics, inverse
problems, numerical analysis, probability, statistical machine
learning, stochastic analysis and uncertainty
quantification. Information about the open positions and the specific
expertise required at each location can be found here:
https://www.probai.uk/pdra-positions

Applicants with expertise in numerical analysis might like to consider
applying for the positions in Edinburgh and Manchester in particular.

Applications for all five posts should be made via the same online
portal hosted by the University of Lancaster:
https://hr-jobs.lancs.ac.uk/Vacancy.aspx?ref=0719-24

The deadline for applications is 2nd September, with interviews
anticipated to take place on 13th September.


From: Tuomo Valkonen tuomo.valkonen@helsinki.fi
Date: August 14, 2024
Subject: Postdoc Positions, Univ of Helsinki, Finland


Due to unforeseen successes of researchers previously contracted to
these positions, I have two postdoc positions available at the
University of Helsinki, both to be filled ASAP. The focus of both
positions can be adapted to both pure analysts and people with a more
numerical focus.

1. The first, shorter one (roughly one year), involves online
optimisation for dynamic process tomography. For a numerical focus,
preferred skills include numerical PDEs and Julia programming, and,
for a more theoretical focus, regularisation theory (inverse problems
theory), or, even, geometric measure theory.

2. The second, longer one (funding available until July 2027) involves
optimisation and inverse problems in spaces of measures. For a
theoretical focus, knowledge of convex analysis and geometric measure
theory are highly desirable. For a more numerical/applied focus,
skills in numerical PDEs are required, and Rust programming skills or
the capacity to learn are a huge advantage.

If a candidatess skills match both projects, other hiring combinations
may also be possible.

If you know of possible candidates for these positions, please let
them know. Enquiries and applications should be sent to
tuomo.valkonen@helsinki.fi. Initially, a CV and a publication list is
enough, although some candidates may be asked to provide references.
Applications will be processed constantly.


From: Chiheb Ben Hammouda c.benhammouda@uu.nl
Date: July 23, 2024
Subject: PhD Position, Computational Finance/NA, Utrecht Univ, The Netherlands


The Mathematical Institute at Utrecht University is offering a fully
funded 4- year PhD position focused on computational methods for xVA
and financial risk management.

The aim of this project is to develop innovative methods for
efficiently computing Valuation Adjustments (xVAs), along with
associated sensitivities and risk measures, that effectively balance
accuracy, cost, and interpretability. The new algorithms will be
predominantly based on adaptive/hierarchical sampling, variance
reduction, path signatures, and machine learning ideas. This project
will span theory, algorithm development, and numerical analysis.

Application deadline: 2 September 2024.

For complete details and information on how to apply, please visit:
https://www.uu.nl/en/organisation/working-at-utrecht-university/jobs/phd-in-efficient-computational-methods-for-xva-and-financial-risk-management


From: Robert Dürr robert.duerr@h2.de
Date: August 06, 2024
Subject: PhD Position, Digital Twins/Data-Based Control, Germany


Research assistant / PhD student for Digital Twins, Optimization and
Control for Sustainable Biopolymer Production

The full time position (40 hours/week) at Magdeburg-Stendal University
of Applied Sciences is embedded in the EU-funded research consortium
'PHA4Value' which aims on the development of processes for sustainable
microbial production of polyhydroxyalkaonate (PHA) -- biopolymers
using sophisticated model-based modeling and machine learning
techniques as well as process optimization and control approaches.

Your tasks: Modelling and Simulation of microbial PHA-Polymerisation
processes; Design, Simulation and experimental validation of optimal
process control strategies.

Your profile: Successfully completed academic higher education degree
(diploma or master's degree, or comparable) in engineering,
mathematics or natural sciences; Profound theoretical and
methodological knowledge in mathematical modelling, optimization and
control of dynamical processes; Expertise in Machine Learning
Algorithms will be an asset; Ready-to-use skills in scientific
software tools (e.g. MatLab, Python).

Further Information: Prof. Dr.-Ing. Robert Durr, robert.duerr@h2.de.

Full job description (in German)
https://karriere.hs-magdeburg.de/jobposting/bc44d7fa6d2ed2a3101c7dd4884bed4d781f99e50?ref=homepage



From: Stefano Berrone stefano.berrone@polito.it
Date: August 08, 2024
Subject: PhD Position, NA, Politecnico di Torino, Italy


Topic: Adaptive strategies for explainable deep learning PDE solvers
to speed up the generation of large and significant datasets.

The research program is a cutting-edge research activity mixing
numerical methods for PDEs, deep learning and adaptive strategies for
explainable PDE solvers. At the forefront of computational sciences,
we are extending traditional approaches to solving complex equations
across diverse fields and investigating the reliability and efficiency
of new deep-learning approaches. Expertise in numerical methods for
PDEs, Python/C++ and neural networks will contribute to accelerating
dataset generation and problem solutions.

We are currently in search of passionate individuals who can
demonstrate a high level of autonomy while also being eager to
collaborate within a dynamic team environment.

Instructions for application can be found at
https://euraxess.ec.europa.eu/jobs/260544

The application deadline is September 12, 2024.


From: Vyacheslav Kungurtsev vyacheslav.kungurtsev@fel.cvut.cz
Date: August 05, 2024
Subject: PhD Position, Optimization and ML, Czech Technical Univ


The Research and Teaching Institute Plzen (VZU) and Czech Technical
University in Prague (CVUT) are looking to recruit a PhD student for
performing research on turbomachinery and decarbonization technology
as well as Data Driven long term control of Nuclear Fission Reactors

The student will be supervised by Vyacheslav Kungurtsev at CVUT and
co-supervised by Zdenek Kubin at VZU and will focus on AI-enhanced
computational techniques for modeling and innovating turbomachinery
technology prioritizing decarbonization for the enhancement of the
clean energy transition across Europe. The work will also develop
towards a comprehensive Digital Twin of a Nuclear Reactor for
Multi-Physics System Identification, Uncertainty Quantification, and
long term (Reinforcement Learning - enhanced) management and control.
The project will be funded and based primarily at CTU, with regular
visits to VZU and associated labs. Research will focus on the use of
contemporary techniques of incorporating inductive bias based on
scientific, e.g. physics, fundamentals, in neural models in order to
establish a data driven digital twin of the machinery and plant. This
includes Physics Informed Neural Networks as well as other
contemporary strategies using both machine learning and first
principles science.

In addition we encourage the application to apply for three years by
the ASME IGTI-4-CEE Program, an initiative to advance the research in
Central and Eastern Europe towards the mission and vision of
technological development towards decarbonization.

The position is available effective immediately.

Motivated students with a Masters degree in Engineering, Computer
Science, or similar, are encouraged to apply by referencing this ad
and sending a CV and interest statement to both Vyacheslav Kungurtsev,
vyacheslav.kungurtsev@fel.cvut.cz and Zdenek Kubin, kubin@vzuplzen.cz


From: Marie Stöbe jobs@wias-berlin.de
Date: July 18, 2024
Subject: PhD Position, WIAS Berlin, Germany


The Weierstrass Institute for Applied Analysis and Stochastics (WIAS)
is an institute of the Forschungsverbund Berlin e.V. (FVB). The FVB
comprises seven non-university research institutes in Berlin which are
funded by the federal and state governments. The research institutes
belong to the Leibniz Association.

WIAS invites applications for a PhD student position (f/m/d)
(Ref. 24/12) in the Research Group 'Stochastic algorithms and
nonparametric statistics to be filled at October 1st, 2024, or the
earliest possible date thereafter. The position is associated with
the SFB/Transregio 388. SFB/Transregio 388 investigates the interplay
between rough analysis and stochastic dynamics. Central aspects
include rough paths and subsequent developments for nonlinear
stochastic partial differential equations. The theory of signatures
and rough volatility also provides important connections to algebra,
statistics, and financial mathematics.

Website: https://sites.google.com/view/trr388/

Rough volatility models are an important class of equity models in
mathematical finance. Due to the lack of Markov and semi-martingale
properties, proper analysis and numerics for rough volatility models
is challenging. Project B02 within the SFB/Transregio 388 is concerned
with microstructural foundations of rough volatility models, using
techniques from stochastic analysis, rough paths, and regularity
structures. Specific tasks include: Analysis of the (expected)
signature of Hawkes and other pure jump processes and their cumulants;
Derivation of scaling limits for such processes to rough volatility
models; Extensions to the setting of regularity structures for rough
volatility. The position is hosted in Research Group 'Stochastic
algorithms and nonparametric statistics' at WIAS, and is a
collaboration between Ch. Bayer (WIAS), U. Horst (HU Berlin), and
D. Kreher (HU Berlin). It includes the possibility for a doctorate.
We are looking for: candidates with a master's degree in mathematics
or a closely related field with a strong background in stochastic
analysis. Prior knowledge in rough paths and financial mathematics is
beneficial.

Please direct scientific queries to Ch. Bayer (christian.bayer@wias-
berlin.de). The appointment is limited to 3.75 years. The reduced work
schedule is 29,25 hours per week, and the salary is according to the
German TVoeD Bund scale.

Please upload your complete application documents (motivation letter,
detailed CV, certificates, list of MSc courses and grades, copy of the
master thesis, reference letters, etc.) via our applicant portal
(https://short.sg/j/47430415) using the button 'Apply online'
(https://short.sg/a/47430415).

See here for more information:
https://www.wias-berlin.de/jobs/index.jsp?lang=1
https://wias-berlin.softgarden.io/de/vacancies


From: Simona Perotto simona.perotto@polimi.it
Date: August 22, 2024
Subject: Master’s Student Position, Univ of Turin, Italy


The Department of Mathematics, in collaboration with the Department of
Physics at the University of Turin, is pleased to announce the first
edition of the second-level Master's program in Mathematical and
Physical Methods for Space Sciences and Industrial Applications,
starting in Fall 2024.

The Master's program aims to equip students with advanced expertise
for careers in the space sciences and advanced technology
sectors. This ambitious goal requires a solid foundation in
mathematics and physics, with a particular focus on aerospace and
industrial applications, combined with direct interaction between
academic research and industry. To this end, the program is designed
with an initial phase of courses on cutting- edge topics, followed by
an internship at renowned industrial and scientific organizations in
the surrounding area.

The curriculum emphasizes both theoretical and applied aspects,
enabling students to understand, combine, and apply the most relevant
and modern methods available in mathematics and physics, preparing
them for the internship experience.

Applications are due by 3:00 PM on September 10th, 2024. Evaluation
and interviews will take place in September 2024, with enrollment in
October 2024. Classes will run from November 2024 to March 2025,
followed by an internship from April to September 2025.

For full details, please visit the Master's webpage:
https://www.mpmssia.unito.it/do/home.pl


From: Attila Tanács tanacs@inf.u-szeged.hu
Date: August 03, 2024
Subject: Contents, ACTA CYBERNETICA, 26 (3)


ACTA CYBERNETICA, 26(3), Special Issue of the 13th Conference of PhD
Students in Computer Science
https://cyber.bibl.u-szeged.hu/index.php/actcybern/issue/view/Vol_26_3

Preface, Judit Jasz

Single and Combined Algorithms for Open Set Classification on Image
Datasets, Modafar Al-Shouha, Gabor Szucs

Towards a Block-Level ML-Based Python Vulnerability Detection Tool,
Amirreza Bagheri, Peter Hegedqs

A Formalisation of Core Erlang, a Concurrent Actor Language, Peter
Bereczky, Daniel Horpacsi, Simon Thompson

Identifying Concurrent Behaviours in Erlang Legacy Systems, Zsofia
Erdei, Melinda Toth, Istvan Bozo

Using Version Control Information to Visualize Developers' Knowledge,
Anett Fekete, Zoltan Porkolab

Ontology Supported Domain Knowledge Module for E-Tutoring System,
Hussein Ali Ahmed Ghanim, Laszlo Kovacs

Comparing Structural Constraints for Accelerated Branch and Bound
Solver of Process Network Synthesis Problems, Emilia Heinc, Balazs
Banhelyi

Standardized Telemedicine Software Development Kit with Hybrid Cloud
Support, Zoltan Richard Janki, Vilmos Bilicki

Quadratic Displacement Maps for Heightmap Rendering, Matyas Kiglics,
Gabor Valasek, Csaba Balint, Robert Ban

The Influence of the Nonfunctional Requirements on the Data Model,
Gracian Kokrehel, Vilmos Bilicki

Integer Programming Based Optimization of Power Consumption for Data
Center Networks, Gergely Kovasznai, Mohammed Nsaif

Extracting Line Parameters of Woven Wire Mesh in Images under
Directional Illumination, Laszlo Kormoczi, Laszlo G. Nyul

Overlaying Control Flow Graphs on P4 Syntax Trees with Gremlin, Daniel
Lukacs, Mate Tejfel

Corner-Based Implicit Patches, Agoston Sipos

Patient Flow Analysis with a Custom Simulation Engine, Zoltan Szabo,
EmQke Adrienn Hompoth, Vilmos Bilicki

Towards Abstraction-based Probabilistic Program Analysis, Daniel
Szekeres, Istvan Majzik

Uncovering Hidden Dependencies: Constructing Intelligible Path
Witnesses using Dataflow Analyses, Kristof Umann, Gabor
Horvath, Zoltan Porkolab


From: Charley Denton cdenton@aimsciences.org
Date: August 16, 2024
Subject: Contents, Advances in Mathematics of Communications, 18 (6)


Advances in Mathematics of Communications
December 2024, Vol. 18, No. 6
https://www.aimsciences.org/AMC/article/2024/18/6

Parameters of some BCH codes over Fq of length qm-1 /2, Liqi Wang, Di
Lu and Shixin Zhu

New dimension-independent upper bounds on linear insdel codes, Conghui
Xie, Hao Chen, Longjiang Qu and Ling Liu

Equivalence for generalized Boolean functions, Ayca Cesmelioglu and
Wilfried Meidl

Some results on BCH codes of length qm+1 /2, Jiayuan Zhang, Ping Li,
Xiaoshan Kai and Zhonghua Sun

Lee metrics on groups, Ricardo A. Podesta and Maximiliano G. Vides

Exp function for Edwards curves over local fields, Giuseppe Filippone

Several classes of new projective three-weight or four-weight linear
codes and their applications in s-sum sets, Canze Zhu and Qunying Liao

Read more articles here:
https://www.aimsciences.org/AMC/article/2024/18/6


From: Communications on Applied Mathematics and Computation camc@oa.shu.edu.cn
Date: August 14, 2024
Subject: Contents, Commun Appl Math Comput, 6(3)


Communications on Applied Mathematics and Computation, Volume 6,
Number 3, September 2024
Focused Issue in Honor of Prof. Remi Abgrall on His 61th Birthday
https://link.springer.com/journal/42967/volumes-and-issues/6-3

Optimization of Artificial Viscosity in Production Codes Based on
Gaussian Regression Surrogate Models, Vitaliy Gyrya, Evan Lieberman,
Mark Kenamond & Mikhail Shashkov

Remapping Between Meshes with Isoparametric Cells: a Case Study,
Mikhail Shashkov & Konstantin Lipnikov

RKDG Methods with Multi-resolution WENO Limiters for Solving
Steady-State Problems on Triangular Meshes, Jun Zhu, Chi-Wang Shu &
Jianxian Qiu

Second-Order Accurate Structure-Preserving Scheme for Solute Transport
on Polygonal Meshes, Naren Vohra, Konstantin Lipnikov & Svetlana
Tokareva

A New Efficient Explicit Deferred Correction Framework: Analysis and
Applications to Hyperbolic PDEs and Adaptivity, Lorenzo Micalizzi &
Davide Torlo

An Unconventional Divergence Preserving Finite-Volume Discretization
of Lagrangian Ideal MHD, Walter Boscheri, Raphael Loubere &
Pierre-Henri Maire

Failure-Informed Adaptive Sampling for PINNs, Part II: Combining with
Re-sampling and Subset Simulation, Zhiwei Gao, Tao Tang, Liang Yan &
Tao Zhou

A New Class of Simple, General and Efficient Finite Volume Schemes for
Overdetermined Thermodynamically Compatible Hyperbolic Systems, Saray
Busto & Michael Dumbser

Projection-Based Dimensional Reduction of Adaptively Refined Nonlinear
Models, Clayton Little & Charbel Farhat

Approximation Properties of Vectorial Exponential Functions,
Christophe Buet, Bruno Despres & Guillaume Morel

Machine Learning Approaches for the Solution of the Riemann Problem in
Fluid Dynamics: a Case Study, Vitaly Gyrya, Mikhail Shashkov, Alexei
Skurikhin & Svetlana Tokareva

Monolithic Convex Limiting for Legendre-Gauss-Lobatto Discontinuous
Galerkin Spectral-Element Methods, Andres M. Rueda-Ramirez, Benjamin
Bolm, Dmitri Kuzmin & Gregor J. Gassner

Physics-Based Active Learning for Design Space Exploration and
Surrogate Construction for Multiparametric Optimization, Sergio
Torregrosa, Victor Champaney, Amine Ammar, Vincent Herbert & Francisco
Chinesta

Revisting High-Resolution Schemes with van Albada Slope Limiter,
Jingcheng Lu & Eitan Tadmor

High Order ADER-IPDG Methods for the Unsteady Advection-Diffusion
Equation, Michel Bergmann, Afaf Bouharguane, Angelo Iollo & Alexis
Tardieu

Entropy-Conservative Discontinuous Galerkin Methods for the Shallow
Water Equations with Uncertainty, Janina Bender & Philipp Offner

New High-Order Numerical Methods for Hyperbolic Systems of Nonlinear
PDEs with Uncertainties, Alina Chertock, Michael Herty, Arsen
S. Iskhakov, Safa Janajra, Alexander Kurganov & Maria
Lukacova-Medvid'ova


From: Charley Denton cdenton@aimsciences.org
Date: July 30, 2024
Subject: Contents, Communications on Pure and Applied Analysis, 23 (8)


Communications on Pure and Applied Analysis
August 2024, Vol. 23, No. 8
https://www.aimsciences.org/cpaa/article/2024/23/8

Multiple normalized solutions for the non-autonomous p-Laplace
equation, Jianqing Chen and Yuetian Gao

Reconstructing the historical distribution of diffusion equation with
poly- fractional operator in multi-dimensional space, Tra Quoc Khanh
and Tran Thi Khieu

Extension of the theorem of Pucci and Serrin to a relativistic
equation, Miguel Martinez-Teruel

A stabilizer free weak Galerkin finite element method for the linear
elasticity equations, Yue Feng, Hui Peng, Ruishu Wang and Yongkui Zou

Elliptic equations with a singular drift from a weak Morrey space,
Misha Chernobai and Tim Shilkin

Two-player zero-sum stochastic differential games with regime
switching and corresponding Hamilton-Jacobi-Bellman-Isaacs' equations,
Li Guo and Zhen Wu

Normalized ground state solutions for p-Laplacian problems with a
Hardy term, Jingbo Dou, Yuanyuan Li and Chen Qiao


From: Charley Denton cdenton@aimsciences.org
Date: August 22, 2024
Subject: Contents, Communications on Pure and Applied Analysis, 23 (9)


Communications on Pure and Applied Analysis
September 2024, Vol. 23, No. 9
https://www.aimsciences.org/cpaa/article/2024/23/9

On the bounded smooth solutions to exponentially stable linear
nonautonomous hyperbolic systems, Irina Kmit and Viktor Tkachenko

On Localization and Homogeneity for analytic quasi-periodic
Schrodinger operators with Gevrey perturbation, Kai Tao

On a scale of anisotropic Sobolev spaces, Subhasish Mukherjee and Ian
Tice

Insensitizing controls with N-1 components for the N-Dimensional
Ladyzhenskaya-Smagorinsky system, Joao Carlos Barreira and Juan Limaco
Ferrel

Large densities in a competitive two-species chemotaxis system in the
non-symmetric case, Shohei Kohatsu and Johannes Lankeit

Logarithmic double phase problems with convection: existence and
uniqueness results, Francesca Vetro and Patrick Winkert

One new regularity criterion to two-dimensional full compressible
magnetohydrodynamic system, Boqiang Lv, Xue Wang and Rong Zhang


From: Charley Denton cdenton@aimsciences.org
Date: August 06, 2024
Subject: Contents, Discrete and Continuous Dynamical Systems - Series S, 17 (10)


Discrete and Continuous Dynamical Systems - Series S
October 2024, Vol. 17, No. 10
https://www.aimsciences.org/DCDS-S/article/2024/17/10

Preface, Salah Boulaaras and Viet-Thanh Pham

Existence of solutions for a class of wave dynamic equations on time
scales, Svetlin Georgiev Georgiev

Growth of solutions for a system of nonlocal singular viscoelastic
equation with sources and distributed delay terms, Asma Alharbi

Qualitative and quantitative analysis of vector-borne infection
through fractional framework, Rashid Jan, Hakima Degaichia, Salah
Boulaaras, Ziad Ur Rehman and Salma Bahramand

Growth and blow-up of solutions with positive initial energy for a
viscoelastic Kirchhoff equation with a logarithmic nonlinearity, delay
and Balakrishnan-Taylor damping terms, Abdelbaki Choucha, Rashid Jan,
Ibrahim Mekawy, Asma Alharbi and Mohammad Alnegga

Read more articles here:
https://www.aimsciences.org/DCDS-S/article/2024/17/10


From: Charley Denton cdenton@aimsciences.org
Date: August 07, 2024
Subject: Contents, Discrete and Continuous Dynamical Systems, 44 (12)


Discrete and Continuous Dynamical Systems
December 2024, Vol. 44, No. 12
https://www.aimsciences.org/DCDS/article/2024/44/12

Concentration in an advection-diffusion model with diffusion
coefficient depending on the past trajectory, Cosmin Burtea, Nicolas
Meunier and Clement Mouhot

Concave solutions to Finsler p-Laplace type equations, Sunra Mosconi,
Giuseppe Riey and Marco Squassina

Hyperbolic motions in the N-body problem with homogeneous potentials,
Guowei Yu

Existence and orbital stability results for the nonlinear Choquard
equation with rotation, Yuanyuan Tu and Jun Wang

On the pointwise Schauder estimates for elliptic and parabolic
equations, Igor Kukavica and Quinn Le

Nonlinear thermodynamic formalism through the lens of rotation theory,
Tamara Kucherenko

Semilinear elliptic problems on the half space with a supercritical
nonlinearity, Sho Katayama

Read more articles here:
https://www.aimsciences.org/DCDS/article/2024/44/12


From: Irena Lasiecka lasiecka@memphis.edu
Date: August 23, 2024
Subject: Contents, EECT Evolution Equations and Control Theory, 13 (6)


Contents: Evolution Equations and Control Theory, EECT. December,
2024, vol 13, nr 6.

1.Sufficient maximum principle for partially observed mean-field
stochastic optimal control problems with delays, Heping Ma, Yu Shi and
Weifeng Wang

2.The global existence of the solution to the stage-structured SIR
system for rumor spreading and its regularity, Sun-Ho Choi, Hyowon Seo
and Minha Yoo

3.Optimal distributed control of the viscous Cahn-Hilliard-Oono system
with chemotaxis, Xiaoli Zhang

4.Stability and optimal control for an age-structured model of
periodical cicadas, Jialiang Huang, Ping Bi and Xianlong Fu

5.Energy decay rate of the generalized Rao-Nakra beam with singular
local Kelvin-Voigt damping, Zeinab Mohamad Ali, Ali Wehbe and Aissa
Guesmia

6.Stability for variable-coefficient wave equation with local
frictional damping and memory type dynamic boundary conditions,
Fangqing Du and Jianghao Hao

7. Global boundedness in a chemotaxis system with signal-dependent
motility and indirect signal consumption and logistic source, Meng
Zheng and Liangchen Wang

8.Extended angle conditions for the study of the asymptotic behaviour
of some continuous and discrete forced dynamical systems, Haythem
Cheikh


From: Charley Denton cdenton@aimsciences.org
Date: August 20, 2024
Subject: Contents, Foundations of Data Science, 6 (4)


Foundations of Data Science
December 2024, Vol. 6, No. 4
https://www.aimsciences.org/FoDS/article/2024/6/4

On marginal feature attributions of tree-based models, Khashayar
Filom, Alexey Miroshnikov, Konstandinos Kotsiopoulos and Arjun Ravi
Kannan

On Wasserstein distances for affine transformations of random vectors,
Keaton Hamm and Andrzej Korzeniowski

A topological approach for capturing high-order interactions in graph
data with applications to anomaly detection in time-varying
cryptocurrency transaction graphs, Umar Islambekov, Hasani Pathirana,
Omid Khormali, Cuneyt Akcora and Ekaterina Smirnova

Sparse additive function decompositions facing basis transforms,
Fatima Antarou Ba, Oleh Melnyk, Christian Wald and Gabriele Steidl

CAFLOW: Conditional autoregressive flows, Georgios Batzolis, Marcello
Carioni, Christian Etmann, Soroosh Afyouni, Zoe Kourtzi and
Carola-Bibiane Schonlieb

Persistent Mayer homology and persistent Mayer Laplacian, Li Shen,
Jian Liu and Guo-Wei Wei


From: Charley Denton cdenton@aimsciences.org
Date: August 16, 2024
Subject: Contents, Inverse Problems and Imaging, 18 (6)


Inverse Problems and Imaging
December 2024, Vol. 18, No. 6
https://www.aimsciences.org/ipi/article/2024/18/6

Range characterization of ray transform on Sobolev spaces of symmetric
tensor fields, Venkateswaran P. Krishnan and Vladimir A. Sharafutdinov

Bayesian experimental design for linear elasticity, Sarah Eberle-Blick
and Nuutti Hyvonen

Spatially regularized Leaky ReLU in dual space for CNN based image
segmentation, Xiangyue Wang and Jun Liu

Reconstruction of obstacles in a Stokes flow as a shape-from-moments
problem, Alexandre Munnier

A novel l0 minimization framework of tensor tubal rank and its multi-
dimensional image completion application, Jin-Liang Xiao, Ting-Zhu
Huang, Liang-Jian Deng and Hong-Xia Dou

Superresolution with the zero-phase imaging condition, Sarah Greer and
Laurent Demanet

Read more articles here:
https://www.aimsciences.org/ipi/article/2024/18/6


From: Charley Denton cdenton@aimsciences.org
Date: August 09, 2024
Subject: Contents, J Industrial and Management Optimization, 20 (12)


Journal of Industrial and Management Optimization
December 2024, Vol. 20, No. 12
https://www.aimsciences.org/jimo/article/2024/20/12

A patient-centered equilibrium strategy for selecting anti-epileptic
drugs in juvenile myoclonic epilepsy management, Ali Hamidoglu, Parisa
Khaleghi and Omer Melih Gul

A novel approach for fractional model of water pollution management,
SONER AYDINLIK

The newsvendor problem with normal, worst-case and binomial
distribution of demand: Managerial implications with examples, Tomasz
Brzeczek and Duaan Hrabec

Deep neural networks for probability of default modelling, Kyriakos
Georgiou and Athanasios N. Yannacopoulos

A novel reinforcement learning based routing algorithm for energy
management in networks, Cigem Ers, Omer Melih Gul and Pinar Sarisaray
Boluk

Online retail platform cooperative promotion strategies with
manufacturer competition, Zongsheng Huang and Xuechun Yan

Read more articles:
https://www.aimsciences.org/jimo/article/2024/20/12


From: Yonghui Yu yyu@lsec.cc.ac.cn
Date: July 25, 2024
Subject: Contents, Journal of Computational Mathematics, 42 (4)


Journal of Computational Mathematics, Volume 42 (2024), issue 4
https://www.global-sci.org/intro/articles_list/jcm/2531.html

Content

A Coupled Method Combining Crouzeix-Raviart Nonconforming and Node
Conforming Finite Element Spaces for Boit Consolidation Model, Yuping
Zeng, Mingchao Cai and Liuqiang Zhong

A Low-cost Optimization Approach for Solving Minimum Norm Linear
Systems and Linear Least-squares Problems, Debora Cores and Johanna
Figueroa

Asymptotic Theory for the Circuit Envelope Analysis, Chunxiong Zheng,
Xianwei Wen, Jinyu Zhang and Zhenya Zhou

Convergence Analysis of Nonconforming Quadrilateral Finite Element
Methods for Nonlinear Coupled Schrodinger-Helmholtz Equations,
Dongyang Shi and Houchao Zhang

A Trust-region Method for Solving Truncated Complex Singular Value
Decomposition, Jiaofen Li, Lingchang Kong, Xuefeng Duan, Xuelin Zhou
and Qilun Luo

Efficient Spectral Methods for Eigenvalue Problems of the Integral
Fractional Laplacian on a Ball of Any Dimension, Suna Ma, Huiyuan Li,
Zhimin Zhang, Hu Chen and Lizhen Chen

A Linearly-implicit Structure-preserving Exponential Time Differencing
Scheme for Hamiltonian PDEs, Yayun Fu, Dongdong Hu, Wenjun Cai and
Yushun Wang

A Nonlocal Kronecker-Basis-Representation Method for Low-dose CT
Sinogram Recovery, Jian Lu, Huaxuan Hu, Yuru Zou, Zhaosong Lu, Xiaoxia
Liu, Keke Zu and Lin Li

Convergence of Modified Truncated Euler-Maruyama Method for Stochastic
Differential Equations with Holder Diffusion Coefficients, Guangqiang
Lan and Yu Jiang

Two-grid Finite Element Method for Time-fractional Nonlinear
Schrodinger Equation, Hanzhang Hu, Yanping Chen and Jianwei Zhou

Arbitrarily High-order Energy-conserving Methods for Hamiltonian
Problems with Quadratic Holonomic Constraints, Pierluigi Amodio, Luigi
Brugnano, Gianluca Frasca-Caccia and Felice Iavernaro

A Cell-centered Godunov Method Based on Staggered Data Distribution,
Part I: One-dimensional Case, Jiayin Zhai, Xiao Li and Zhijun Shen


From: Charley Denton cdenton@aimsciences.org
Date: August 22, 2024
Subject: Contents, Kinetic and Related Models, 17 (6)


Kinetic and Related Models
December 2024, Vol. 17, No. 6
https://www.aimsciences.org/krm/article/2024/17/6

Global well-posedness and stability of the inhomogeneous kinetic wave
equation near vacuum, Ioakeim Ampatzoglou

Asymptotic study of an anisotropic Fokker-Planck collision operator in
a strong magnetic field, Etienne Lehman, Claudia Negulescu and Stefan
Possanner

On the stabilization of a kinetic model by feedback-like control
fields in a Monte Carlo framework, Jan Bartsch and Alfio Borzi

A Fick Law's recovering BGK model for a mixture of monoatomic and
polyatomic gases, Stephane Brull, Kevin Guillon and Philippe Thieullen

Global weak solutions for a nonlocal multispecies Fokker-Planck-Landau
system, Jingwei Hu, Ansgar Jungel and Nicola Zamponi

Equilibrium of a kinetic model of oscillating patterns for chronic
autoimmune diseases, Joao Miguel Oliveira, Maria Piedade Machado
Ramos, Carolina Ribeiro and Ana Jacinta Soares

End of Digest
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