NA Digest, V. 24, # 10

NA Digest Friday, July 12, 2024 Volume 24 : Issue 10


Today's Editor:

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

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

Submissions for NA Digest:

https://nadigest.icl.utk.edu/


From: Walter Gander gander@inf.ethz.ch
Date: July 05, 2024
Subject: Computing the SVD


COMPUTING THE SVD

The paper by G. H. Golub and C. Reinsch: Singular value decomposition
and least squares solutions, Numer. Math., 14:403-420, 1970 is very
famous, cited over 4600 times. The algorithm has been developed
already in 1967, published first in Numerische Mathematik 1970 an
finally 1971 in the Springer Handbook of Automatic Computation, a
first attempt to build a reliable software library for numerical
computations. I always wondered how the collaboration of Gene Golub
and Christian Reinsch was in 1967. I studied the history and found out
that Gene Golub (together with Peter Businger) designed also 1967
independently of Christian Reinsch an algorithm to compute the SVD. It
is interesting to analyze these two algorithms. It turns out that
without shifts the iterations produce the same results, however the
data structure of the programs is different. With shifts, the
algorithm of Golub-Businger fails sometimes while Reinsch's algorithm
is foolproof.

My web-page https://people.inf.ethz.ch/gander/ contains a report by
myself and Johann Joss, which explains the history and details of both
algorithms. Using the ALGOL compiler of Jan van Katwijk
https://github.com/JvanKatwijk/algol-60-compiler we computed and
compared examples of both original ALGOL-programs and we explain why
Gene Golub became a coauthor of Christian Reinsch.




From: Jose E. Castillo jcastillo@sdsu.edu
Date: July 08, 2024
Subject: Using the MOLE Library for Research


We recently were awarded an NSF grant to make our Mimetics Operators
Library Enhance (MOLE) into a Sustainable Software Ecosystem. MOLE is
a high-quality C++ and MATLAB/Octave library that can be used as a
building block to develop highly accurate and computationally
efficient codes to solve partial differential equations using
high-order mimetic operators.

We are very interested in getting feedback about the potential use of
the MOLE library as an Open Source Ecosystem.

We are eager to identify possible users and collaborators.

Please let me know convenient dates and times for you during July, and
I will arrange a very short Zoom meeting with one of our team members
accordingly.


From: Horst D Simon horst.simon@adialab.ae
Date: June 27, 2024
Subject: CFP, Best Paper Award, Climate Data Sciences


This call for papers is aimed at highlighting and promoting the
significant role of data science in the field of climate science,
underscoring its potential to address some of the most pressing
environmental challenges of our time. In the spirit of fostering
innovative research and interdisciplinary applications that leverage
data science for climate science advancements, ADIA Lab is pleased to
announce its 2024 Best Paper Award for outstanding contributions in
this area. We are looking for outstanding submissions that fit one or
more of the following topics: Climate Modeling, Simulation and
Prediction; Climate Observations and Data Excellence; Integrated
Assessment Modeling of Climate-Economic Systems; Climate Data
Visuanimation and Communication; Extreme Weather Events;
Non-Conventional Climate Adaptation Tools. See
https://www.adialab.ae/call-for-papers-1 for complete details.

Submissions are encouraged to demonstrate how their research addresses
complex climate challenges through the application of data science,
offering insights that contribute to our understanding and mitigation
of climate change. We welcome contributions that blend theoretical
innovation with practical applications, offering clear evidence of the
impact of data science on climate science. Papers must be submitted
by December 31, 2024, at midnight (Abu Dhabi time). Eligibility:
Submissions can include unpublished papers, papers published in
pre-print form or under journal review, and journal articles published
after January 1, 2023. Papers available behind a paywall are also
eligible. Papers that have previously won international prizes will
not be eligible. Authors should email their submission to
Paper.Award.2024@adialab.ae, including a cover letter, a link to the
publication (public repositories such as SSRN, ArXiv, or a journal
website are preferred), and the names, affiliations, and contact
details of all authors. A blind peer-review process will be
conducted, with finalists notified and their work announced on ADIA
Lab's website in April 2025. Finalists will present their papers
online in May 2025, with one presentation scheduled per week. Award
Announcement: The winners will be announced at a public event in June
2025. A total prize pool of USD 100,000 will be awarded, distributed
among the authors of the top three papers. The remaining two finalists
will receive a diploma. Authors are free to publish their work in a
journal of their choice, further contributing to the field of climate
science. For a full description of the terms and conditions, please
visit Terms and Conditions for Submissions. Anyone submitting a paper
will be deemed to have read and agreed to these terms and conditions.


From: Nick Gould nick.gould@stfc.ac.uk
Date: July 05, 2024
Subject: GALAHAD 5.0


We are delighted to announce the release of GALAHAD 5.0. GALAHAD is
an open-source library of modern Fortran modules designed to solve
smooth optimization problems. In addition to a number of new packages,
Release 5 provides interfaces from the original Fortran to C, Python,
Julia and Matlab. Furthermore, both 32- and 64-bit integers are now
supported. Full online documentation is provided, and installation has
been made easier using Meson, alongside the traditional Makefile
system. GALAHAD allows interfaces to many core exteral sparse-matrix
solvers, including those from HSL, MUMPS, Pardiso, WSMP and Pastix,
although these must be obtained separately; academic users may obtain
a subset of HSL that supports both 32- and 64-bit integers for free,
and this may significantly enhance performance.

- Details are provided on https://www.galahad.rl.ac.uk
- Downloads from the github site https://github.com/ralna/GALAHAD
- Documentation from https://ralna.github.io/galahad_docs

We also offer precompiled libraries of GALAHAD, with dependencies
ready for use, to streamline the integration process. See
https://github.com/ralna/GALAHAD/releases

Nick Gould, on behalf of the GALAHAD 5 team,
Jari Fowkes, Alexis Montoison & Dominique Orban




From: Stephan Rave stephan.rave@uni-muenster.de
Date: July 08, 2024
Subject: Software Release, pyMOR 2024.1


We are proud to announce the release of pyMOR 2024.1!

The main new features are:
- vector fitting
- successive constraints method
- shifted Cholesky QR algorithm
- improved randomized range finder
- additional tutorials and MOR methods overview

Read the full release notes at
https://docs.pymor.org/2024-1-0/release_notes/all.html


From: Everett Zhu everett.zhu@mdpi.com
Date: July 12, 2024
Subject: New Book, Current Problems and Advances in Computational and Applied Mechanics


Advances in computational solid and fluid mechanics have led to
significant developments in a large variety of fields, including
engineering, physics, and medicine. Computational mechanics offers
design flexibility, sophistication, and experimentation, enabling
engineers to analyse complex design problems and optimisation
solutions efficiently at reduced costs. This Special Edition
illustrates the latest advances in computational solid mechanics,
fluid mechanics, and coupled problems, and their application to
practical engineering problems. This volume contains the scientific
contributions presented at the 5th African Conference on Computational
Mechanics (AfriComp5) which took place in Cape Town, South Africa, 2-4
November 2022. The articles comprise topics from the wide range of
applied mechanics and mathematics including structural mechanics;
fluid mechanics; fluid-structure interaction; biomechanics; damage and
fracture mechanics; multi-scale mechanics; multi-physics; advanced
numerical methods; optimisation and design; and big data and machine
learning. Only original contributions were considered for inclusion.
All articles were subjected to a full process of double-blind peer
review. The review of manuscripts was undertaken by members of the
Scientific Advisory Board and other identified leading experts, acting
independently on one or more assigned manuscripts. The reader would
find this Special Edition to be a useful reference of the state of the
art in a variety of areas spanning theoretical and applied mechanics.

Please find the book and the special edition at the following links:
https://www.mdpi.com/books/reprint/9247-current-problems-and-advances-in-computational-and-applied-mechanics
https://www.mdpi.com/journal/mca/special_issues/AFRICOMP5



From: Horst D Simon horst.simon@adialab.ae
Date: June 05, 2024
Subject: Summer School, Trustworthy/Safe/Governable AI, Spain, Jul 2024


ADIA Lab International Summer School on "Trustworthy, safe, and
governable AI", in collaboration with the University of Granada, Spain
July 15 - 26, 2024

Ensuring trust and safety in AI systems is paramount as they
increasingly permeate our daily lives, from influencing healthcare
decisions to shaping our online experiences. This course will explore
the critical role of trust and safety in AI, examining the ethical,
technical, and societal implications of AI applications. Together with
our guest lecturers, we will dive into the multifaceted nature of
trust and safety in AI, addressing key challenges and strategies for
building trustworthy systems. Participants will examine case studies
highlighting the impact of trust and safety issues in AI, gaining
insights into best practices for ensuring AI technology's ethical and
responsible use. By the end of this course, participants will have a
deepened understanding of the importance of trust and safety in AI and
will be equipped with the knowledge and tools necessary to contribute
to the development of more trustworthy AI systems.

For detailed agenda and registration see:
https://www.adialab.ae/summerschool


From: Patrick Farrell patrick.farrell@maths.ox.ac.uk
Date: June 26, 2024
Subject: Firedrake User Meeting, UK, Sep 2024


We are pleased to announce that the eighth Firedrake user and
developer workshop will be held at the Mathematical Institute,
University of Oxford from 16-18 September 2024.

This is an opportunity for users and developers of the Firedrake
finite element software and related software packages to present their
work and discuss the latest developments in the project.

Registration and abstract submission are now open. Details can be
found at this link: https://www.firedrakeproject.org/firedrake_24.html




From: Yury Korolev ymk30@bath.ac.uk
Date: June 21, 2024
Subject: Inverse Problems from Theory to Application, UK, Sep 2024


We would like to draw your attention to the 4th IMA Conference on
Inverse Problems from Theory to Application taking place at the
University of Bath on 11-13 September 2024.

The aim of this conference is to bring together the applied
mathematics, statistics, machine learning, engineering, physics and
industrial communities around the topic of inverse problems to discuss
recent developments and open challenges in theory, methodology,
computational algorithms, and applications. We welcome industrial
representatives, doctoral students, early career and established
academics working in this field to attend.

Topics of interest include, for example, Inverse problems in
mathematical and computational imaging; Inverse problems in science,
medicine, engineering, and other fields; Model-based and data-driven
methods for solving inverse; Optimisation, statistical, and machine
learning methods for solving inverse problems; Mathematical theory for
inverse problems; Deterministic and stochastic computational methods
and algorithms.

More details can be found on the conference web page
https://ima.org.uk/23503/4th-ima-conference-on-inverse-problems-from-theory-to-application/

Matthias Ehrhardt, Tatiana Bubba, Silvia Gazzola, and Yury Korolev
(organisers)


From: Laura Scarabosio l.scarabosio@math.ru.nl
Date: June 11, 2024
Subject: UQ Autumn School, Amsterdam, Oct 2024


Registration to the autumn school within the CWI Semester Program on
Uncertainty Quantification for high-dimensional problems is now open!

The school will take place on 7-11 October, at CWI (Amsterdam).

Please visit
https://www.cwi.nl/en/events/cwi-research-semester-programs/research-semester-programs-in-2024/uncertainty-quantification-for-high-dimensional-problems/
for more information and link to the registration form.

The organizers:
Peter Coveney (UvA/University College London)
Richard Dwight (TU Delft)
Wouter Edeling (CWI)
Olga Mula (TU Eindhoven)
Laura Scarabosio (Radboud University)


From: Murtazo Nazarov murtazo.nazarov@uu.se
Date: June 17, 2024
Subject: BIT65, Sweden, Jan 2025


The first issue of BIT, a journal of numerical mathematics, was
published in 1961, and to celebrate BIT's 65th anniversary, we are
organizing a conference in Uppsala, Sweden, January 14-16, 2025. The
scope of BIT includes theoretical, computational, and applied aspects
of solving deterministic and stochastic PDE and ODE, numerical linear
algebra, approximation, and the newly added theme of numerical
mathematics for data-driven methodologies. These will also be the
topics of the conference. There will be invited talks by associate
editors, and contributed sessions, where we welcome any topic within
the scope of BIT. To enable broad participation there will be no
conference fee. More information about the event is found at
https://www2.it.uu.se/conferences/BIT65 . At this site, we will also
publish deadlines for submitting abstracts and registrations as soon
as the information is available.


From: Kai Diethelm frame2025@thws.de
Date: July 10, 2024
Subject: Fractional Models in Engineering, Italy, Feb 2025


Mathematical models based on differential or integral operators of
fractional order and associated numerical algorithms are becoming more
and more important in various fields of science and engineering, thus
generating a necessity for cooperation between researchers from all
involved fields. To initiate such a cooperation, we will organize a
Blended Intensive Programme "Fractional Models in Engineering" (FraME)
within the framework of the Erasmus+ scheme. The programme is targeted
at master students, PhD students and postdocs from engineering,
physics, mathematics and related areas and comprises a winter school
held in face-to-face form with distinguished lecturers from all
relevant subjects at the Politecnico di Bari, Italy, from February 10
until February 21, 2025, followed by a virtual phase where students
will work on joint projects online in March and April.

For full details, please visit our website at
https://fang.thws.de/frame2025 or contact us at frame2025@thws.de.




From: Gabriele Ciaramella gabriele.ciaramella@polimi.it
Date: June 11, 2024
Subject: Domain Decomposition Methods, Italy, Jun 2025


We are pleased to announce the 29th International Conference on Domain
Decomposition Methods that will be held at the Politecnico di Milano,
Italy, from 23-27 June 2025.

See the official webpage: https://www.dd29.polimi.it/

Save the date and subscribe to the DD29 mailing list to be updated.

The purpose of the meeting is to discuss recent developments in
various aspects of domain decomposition methods, bringing together
mathematicians, computational scientists, and engineers working on
numerical analysis, scientific computing, high-performance computing,
machine learning, and computational science with industrial and
societal applications.

A call for mini-symposia will open on June 15, 2024. Do not hesitate
to contact us at dd29-dmat@polimi.it for any information.


From: Svetozar Margenov margenov@parallel.bas.bg
Date: July 02, 2024
Subject: Large-Scale Scientific Computations, Bulgaria, Jun 2025


The 15th International Conference "Large-Scale Scientific
Computations" will take place in June 16-20, 2025, Sozopol, Bulgaria:
http://parallel.bas.bg/Conferences/SciCom25/

Topics: hierarchical, adaptive, domain decomposition and local
refinement methods; robust preconditioning algorithms; Monte Carlo
methods and algorithms; numerical linear algebra; control systems;
parallel algorithms and performance analysis; large-scale computations
of environmental, biomedical and engineering problems.

Plenary invited speakers: Pavel Bochev (Sandia National Laboratories,
USA); Ulrich Langer (Johannes Kepler University, Linz, Austria); Kent-
Andre Mardal (University of Oslo, Norway); Markus Melenk (TU Wien,
Austria); Marcus Sarkis (Worcester Polytechnic Institute, USA);
Gabriel Wittum (King Abdullah University of Science and Technology,
Thuwal, Saudi Arabia).

Applications for organizing special sessions are welcome till
September 30, 2024.Early applications are encouraged. Special sessions
will be announced in operational order upon approval.

Conference chairman: Svetozar Margenov
Conference secretary: Silvia Grozdanova
E-mail: scicom25@parallel.bas.bg



From: Dajana Conte dajconte@unisa.it
Date: June 25, 2024
Subject: Stability and Discretization Issues in Differential Equations, Italy, Jun 2025


This is the first announcement for the 7th Workshop on Stability and
Discretization Issues in Differential Equations (SDIDE 2025) that will
take place at the Department of Mathematics, University of Salerno,
Fisciano (SA), Italy, from the 16th to the 19th of June 2025. The
workshop addresses stability issues for ODEs, DAEs, DDEs, PDEs,
Dynamical Systems, SDEs, and their discretizations as well as various
applications.

We aim at a small scale meeting of at most 40 participants including
about 30 invited speakers, to support intense scientific exchange and
personal contacts. All talks will be given in plenary sessions that
provide ample time for scientific discussions. Our goal is to exchange
the most recent results, ideas and open questions. Finally, it is a
great place to establish new fruitful collaborations.

Details about the workshop including conference venue, registration
fee and complete lists of speakers and participants will be announced
on the official website
https://sites.google.com/unisa.it/sdide2025/home.


From: Nate Sime nsime@digitalpore.com
Date: July 01, 2024
Subject: Research Scientist Position, Numerical Mathematics, Colorado, USA


Research Scientist Position, Numerical Mathematics for Pore Scale
Media Transport, Digital Pore Solutions.

Digital Pore Solutions has open positions for research scientists with
experience in fluid mechanics, computational fluid dynamics, numerical
analysis and high performance computing. Research scientists will
collaborate with a team of engineers, physicists and mathematicians by
contributing to the mathematical modeling of pore scale phenomena
along with development and implementation of numerical schemes for
their simulation using high performance computers.

Located in Fort Collins, CO, Digital Pore Solutions investigates
transport phenomena in porous media. We provide solutions to industry
clients by leveraging proprietary and state-of-the-art Digital Rock
Technologies to predict quantities of interest. Our mission is to
offer innovative, cost-effective solutions to overcome subsurface
energy and environmental challenges.

The ideal candidate will hold a Ph.D. in Applied Mathematics or a
related field. Candidates are expected to be highly motivated with
demonstrable experience in research and modern software development
practices.

Interested applicants should submit their resumes to Dr Mohammad
Sedghi (msedghi@digitalpore.com) before August 31, 2024.


From: Jerome Droniou jerome.droniou@umontpellier.fr
Date: June 26, 2024
Subject: Software Engineer Position, C++, France


The ERC Synergy NEMESIS project is currently hiring a software
engineer to work on the project's C++ library "HArDCore"
(https://github.com/jdroniou/HArDCore). The current deadline is 15
July, but this could be extended.

Details are here:
https://emploi.cnrs.fr/Offres/CDD/UMR5149-NATCOL-018/Default.aspx?lang=EN

This 1-year position is based in Montpellier (France). We are
primarily look for someone with a good knowledge of C++. Basic skills
in linear algebra are also required, but no advanced knowledge of
numerical analysis is mandatory. The position is suitable for a Master
graduate (in IT or Mathematics).



From: JIE SHEN shen7@purdue.edu
Date: July 10, 2024
Subject: Faculty Positions, Eastern Institute of Technology, China


The School of Mathematical Science at the Eastern Institute of
Technology, Ningbo (EIT) invites applications for multiple
tenure-track or tenured faculty positions at all ranks (assistant,
associate, full and chair professors). We are seeking outstanding
global candidates (of all races) with demonstrated potential for
excellence in research and teaching. All areas of mathematical science
will be considered, but preference will be given to computational and
applied mathematics, data science and statistics, analysis, geometry
and algebra. Candidates must have a Ph.D. in mathematics or related
field, a demonstrated record of research achievement with publications
in top journals, and in the case of senior appointment, a demonstrated
record of external funding. Candidates must have a good command of
English and a commitment to teaching and student mentoring. EIT
provides globally competitive salaries and generous start-up fund,
commensurate with qualifications and experiences. Stable funding is
also provided to support hiring of graduate students and postdocs.

Candidates within a few years of their PhD degrees are particularly
invited to apply for the participation of "2024 Yongriver Forum" to be
held online or locally in Ningbo on Aug 31-Sep 1, 2024. Please refer
to: https://www.eitech.edu.cn/?p=2734&lang=en for more information
about EIT and on how to apply.

For general information, please contact Ms. Hu at
joycehu@eitech.edu.cn. For more specific information, please contact
Professor Jie Shen at jshen@eitech.edu.cn.


From: Dominik Göddeke dominik.goeddeke@mathematik.uni-stuttgart.de
Date: June 24, 2024
Subject: Tenure-Track Position, Mathematical Statistics, Univ of Stuttgart, Germany


The professorship (salary level W1 before tenure, then W3) is aimed at
outstanding young scientists in the early career phase who are
internationally recognized in one or more modern areas of mathematical
statistics. The professorship should be linked to and complement the
Institute of Stochastics and Applications and the Department of
Mathematics, and should be open to interdisciplinary cooperation with
other faculties, the Stuttgart Center for Simulation Science (SC
SimTech), or other cross-faculty activities such as the various
Stuttgart Research Centers. In addition to teaching in the
mathematics degree programs, the tasks of this professorship also
include participation in mathematical education for students of
natural sciences and engineering as well as computer science and
economics. We are searching for an individual who is distinguished by
high-ranking scientific publications with international visibility.

The full job advertisement can be found here:
www.f08.uni-stuttgart.de/en/mathematics/organization/job-postings/professorship_math_stat/


From: Josefin Ahlkrona ahlkrona@math.su.se
Date: June 14, 2024
Subject: Tenure-Track Position, Stockholm Univ, Swede


Stockholm University, Sweden, has an open position for an Assistant
Professor in Numerical Methods.

Deadline for application is 1st of August.

You can find more information, including information on how to apply
at
https://www.su.se/english/about-the-university/work-at-su/available-jobs?rmpage=job&rmjob=23448


From: Marie Stöbe stoebe@wias-berlin.de
Date: June 24, 2024
Subject: Professor Position, Humboldt Univ/WIAS Berlin, Germany


The Department of Mathematics at the Faculty of Mathematics and
Natural Sciences at the Humboldt-Universitat zu Berlin (HU Berlin)
invites applications for a joint appointment process ("Berlin Model")
with the Weierstrass Institute for Applied Analysis and Stochastics
(WIAS), Leibniz Institute in the Forschungsverbund Berlin e.V., for a
Professorship (W3) for "Mathematical Statistics" to be filled by
01.04.2025.

The holder of the position will lead a corresponding research group at
the Weierstrass Institute and represent the subject of "Mathematical
Statistics" in teaching at the Department of Mathematics at HU Berlin.
The teaching obligation is 2 teaching hours per semester week ("LVS").

Applicants must meet the legal requirements for professorial
appointments in accordance with Section 100 of the "Berliner
Hochschulgesetz"; in particular, a successfully completed doctoral
degree in mathematics or a related subject is required. Several years
of research and management experience is expected. The candidate has
an international profile, which is characterized by relevant
publications, visibility at international conferences and
collaborations. Additionally, experience in teaching of relevant
topics, supervising theses, and in academic self-administration as
well as in acquiring and implementing third-party funding or
collaborative projects is expected.

Please send your application (including a cover letter, CV, list of
publications, research profile with current and future projects, list
of courses, teaching evaluation if available, up to 5 selected
publications, as well as copies of certificates and documents) until
19.07.2024, and mentioning the reference number PR/010/24 to:
Humboldt-Universitat zu Berlin, Dean of the Faculty of Mathematics and
Natural Sciences, Prof. Dr. Caren Tischendorf, Unter den Linden 6,
10099 Berlin or preferably uploaded to
https://www2.mathnat.hu-berlin.de/mathstatistik. Since we will not
return your documents, please submit copies in the application only.

Data protection information on the processing of your personal data
within the framework of the advertisement and selection procedure can
be found on our Website: https://hu.berlin/DSGVO.

Please visit our website www.hu-berlin.de/stellenangebote, which
provides access to the legally binding German version of the job
advertisement.


From: Arnold Reusken reusken@igpm.rwth-aachen.de
Date: June 28, 2024
Subject: Professor Position, Mathematics, RWTH Aachen Univ, Germany


The Faculty of Mathematics, Computer Science and Natural Sciences
offers the following position (starting at the earliest possible
date): Junior Professor (W1) in data-driven methods and nonlinear
partial differential equations. Profile of the position: The research
should focus on interactions between mathematical models based on
differential equations and empirical data. Topics of particular
interest are at the interface of machine learning and data science to
mathematical and numerical analysis of nonlinear partial differential
equations, such as inverse problems and data assimilation, model
reduction and operator learning, nonlinear approximation in
high-dimensional problems, data-driven and stochastic solution
concepts, optimal transport in statistical problems, or applications
of data-driven modelling.

Active participation in the existing research programs of the
Department of Mathematics is expected.

For detailed information see:
https://www.rwth-aachen.de/jobs/professors

Application deadline: August, 23th, 2024


From: Karsten Urban karsten.urban@uni-ulm.de
Date: July 04, 2024
Subject: Academic Employee Position, Ulm Univ, Germany


Ulm University is hiring an academic employee (E13/100%, permanent)
for all mathematical courses. The required profile includes: (1) very
good master's degree in a mathematical degree program (2) enjoyment of
teaching (3) very good knowledge of and interest in numerical
mathematics (4) good communication and organizational skills.

We expect: (1) conducting exercises and other accompanying teaching
formats totaling 13 SWS, in particular in basic modules of numerical
mathematics and scientific computing as well as in other modules of
the introductory phase of the study program (in German) (2)
organization and coordination of student projects, in particular with
external partners, in the mathematical degree programs and in the
Computational Science and Engineering (CSE) degree program (3) other
activities in the field of responsibility of the study commissions for
mathematical degree programs and CSE.

We look forward to receiving your application via our online
application portal: https://www.uni-ulm.de/stellenportal

Further information: Karsten Urban, karsten.urban@uni-ulm.de


From: Jakub Sistek sistek@math.cas.cz
Date: July 04, 2024
Subject: Postdoc Position, Czech Academy of Sciences, Czechia


There is an open 2-year postdoctoral position at the Institute of
Mathematics of the Czech Academy of Sciences in Prague, see
https://application.math.cas.cz/positions/attachment/105/Official%20announcement.pdf?documentType=ANNOUNCEMENT
The deadline for applications is August 30, 2024, while the successful
candidate is expected to start from January 2025.

The position is open for applicants from all fields of
mathematics. However, we particularly welcome strong candidates
interested in numerical analysis to join the Department of
Constructive Methods of Mathematical Analysis, which has a long
tradition of excellent research in this area. The topics may include
those already studied at the Institute such as domain decomposition
methods, high-performance computing, numerical linear algebra, finite
element methods, and error estimates. However, complementary topics in
numerical analysis and HPC are also welcome. The position is not
associated with a particular project and gives the successful
candidate the option to carry on research in his/her own direction.

Informal inquiries to Jakub Sistek (sistek@math.cas.cz).



From: Umberto Villa uvilla@oden.utexas.edu
Date: July 02, 2024
Subject: Postdoc Position, Dynamic Imaging, UT Austin, USA


Dr. Villa is looking for a postdoctoral researcher to join the
"Computational Imaging and Predictive Sciences" team of the Oden
Institute at The University of Texas of Austin, TX.

As a member of our team, you will join a multidisciplinary
multi-institutional project aiming at advancing quantitative image
reconstruction methods for dynamic contrast-enhanced photoacoustic
tomography. The successful candidate will have a strong background in
computational methods and numerical optimization; expertise in medical
imaging and inverse problems is highly desired.

The Oden Institute for Computational Engineering and Sciences is a
world-renowned research institute located at The University of Texas
at Austin. The institute is dedicated to advancing computational
science and engineering through innovative research, education, and
collaboration. Our mission is to push the boundaries of computational
research to solve complex problems in science, engineering, and
medicine.

The position is available immediately. For more and how to apply
visit: https://uvilla.github.io/available_positions.html

For inquiries about this position, please contact Dr. Villa at
uvilla@oden.utexas.edu


From: Gustaaf Jacobs gjacobs@sdsu.edu
Date: June 04, 2024
Subject: Postdoc Position, Interactive Particle Systems, SDSU, USA


Applications are invited for a postdoctoral position in data-driven,
interactive particle systems in the Department of Aerospace
Engineering at San Diego State University, for a funded project
supervised by professors Gustaaf Jacobs and Qi Wang.

The position is guaranteed for two years with funding. The salary for
the position is $60,000 USD + full benefits with no teaching duties.

The successful candidate has the ability to work, data-driven
modeling, HPC coding and/or inverse modeling-optimization.

The department has nationally and internationally recognized research
programs in aerodynamics, computational and experimental fluid
mechanics, propulsion, aerospace structures, aeroelasticity, non-
destructive evaluation, guidance and control, and astrodynamics. The
College of Engineering is the fastest growing of SDSU's seven
Colleges. The city of San Diego enjoys a renowned mild climate
year-round and is a family-friendly urban environment. The
metropolitan area is the hub of several leading industries, including
major defense contractors and aerospace companies. San Diego and
Southern California offer exceptional opportunities for research
partnerships with extensive aerospace industry. For additional
information about the department and the university, please visit
http://aerospace.sdsu.edu and http://www.sdsu.edu.

If you are interested please send your CV, a coverletter and a list of
three references to gjacobs@sdsu.edu



From: Xinliang Liu xinliang.liu@kaust.edu.sa
Date: June 20, 2024
Subject: Postdoc Position, ML/Signal Processing, SZU&KAUST, China


Postdoctoral Position in Machine Learning and Numerical Algorithms
with Applications

The Shenzhen Key Laboratory of Advanced Machine Learning and
Applications at the Department of Applied Mathematics of Shenzhen
University and the KAUST Innovation Hub in Shenzhen invite
applications for a postdoctoral position in Machine Learning and
Numerical Algorithms with Applications.

Duration: Full-time for two years
Number of Position: 3 Positions
Teaching Duties: None
Responsibilities: The successful candidate will engage in both
theoretical research and practical implementation of machine learning
methods, with a focus on: training algorithms, numerical algorithms,
signal processing, image processing and related areas.

Additional Opportunities: The successful candidate can choose to
enroll in the Visiting Scholar Program sponsored by the KAUST-SZU
Joint Lab for Mathematics, Data, and Application (MDA). The candidate
can visit King Abdullah University of Science and Technology (KAUST)
and conduct research co-supervised by KAUST researchers.This program
lasts for 3-6 months and includes an additional stipend during the
visit, along with free housing provided by KAUST.

Interested applicants should send their C.V. to: Dr. Xinliang Liu:
xinliang.liu@kaust.edu.sa and Dr. Jian Lu: jianlu@szu.edu.cn;
jianlu1979@163.com.

We look forward to your
application.https://sites.google.com/site/lotusli0707/open-positions-new?authuser=3D0

Feel free to contract Dr. Li (lotusli0707@gmail.com) if you have any
questions.


From: Guanglian Li lotusli0707@gmail.com
Date: June 07, 2024
Subject: Postdoc Position, Numerical Analysis and Simulation, HKU


We are seeking one postdoc researcher in the field of numerical
analysis and simulation, especially multiscale analysis and
simulation, and high- dimensional approximation.

For more information, please follow the link:
https://sites.google.com/site/lotusli0707/open-positions-new?authuser=3D0

Feel free to contract Dr. Li (lotusli0707@gmail.com) if you have any
questions.



From: Luis Gustavo Nonato gnonato@icmc.usp.br
Date: July 10, 2024
Subject: Postdoc Position, Social Science/Data Science, Brazil


The thematic project "Criminality, Insecurity, and Legitimacy: a
transdisciplinary approach"; opens a post-doctoral research position
for researchers interested in collaborating in the interface between
social sciences and data science. The project, funded by Fapesp, aims
at advancing state-of-the-art research in crime data analysis, being a
collaboration between ICMC/USP, NEV/USP, Unesp, and UFAL, Brazil. The
post-doc will be hosted in Sao Carlos/SP, Brazil. Curiosity,
creativity, and collaborative work capabilities are the personal
skills we target. A PhD in computer science, applied mathematics, or
related fields is required, with demonstrated high-quality
publications, programming skills, and a solid background in data
science and machine learning. Candidates must have obtained the PhD in
the last 7 years. Fluency in English is mandatory. Fapesp provides
financial support with a monthly salary of R$ 12,000.00 (about U$
2,400.00). Financial support to cover the move to Sao Carlos - Brazil,
to attend conferences, and to purchase research-related equipment is
also provided. The position is initially for one year, but it can be
extended to an extra year. Submit your application, consisting of a
cover letter, curriculum vitae (with full publication record), and two
reference letters by email to Dr. Luis Gustavo Nonato -
gnonato@icmc.usp.br - (PDF files only) by August 15th, 2024.


From: Faisal Amlani faisal.amlani@ens-paris-saclay.fr
Date: July 08, 2024
Subject: Postdoc Positions, Computational Math/Numerical Methods, France


Two postdoctoral research associate positions are available in
numerical analysis to work on mesh generation and CPU/GPU
parallelization of new high-order PDE solvers with applications in
solids, fluids, and their interactions (particularly towards problems
in geophysics and cardiovascular medicine).

The positions will be affiliated with the Ecole normale superieure of
Paris-Saclay University (15th worldwide by current Shanghai rankings,
1st in continental Europe), located in the heart of the "French
Silicon Valley".

No knowledge of French is required (all work can be done in English).

Complete details and info on how to apply can be found here:
https://tinyurl.com/afp2sd75



From: Michael Multerer michael.multerer@usi.ch
Date: July 04, 2024
Subject: Postdoc Positions, Computational Mathematics, Switzerland


I would like to draw your attention to two Postdoctoral Researcher
openings at the Universita della Svizzera italiana within my research
group. The positions are funded by the project "Multiresolution
Methods for Unstructured Data". The initial appointment is for two
years with the possibility of a two-year extension. It is intended to
fill these roles as soon as possible, applications will be evaluated
on a rolling basis.

Details about the positions and how to apply can be found under the
following link:
https://content.usi.ch/sites/default/files/storage/attachments/eul/eul-bando-postdoc-computational-mathematics-2024.pdf

Please share this opportunity with potential candidates. For possible
questions, please directly contact me (michael.multerer@usi.ch).



From: Leon Bungert leon.bungert@uni-wuerzburg.de
Date: June 16, 2024
Subject: PhD and Postdoc Position, Mathematics of ML, Univ of Wurzburg, Germany


A PhD and a postdoc position will be available in the group of
Prof. Leon Bungert at the University of Wurzburg, starting on October
1st, 2024, or soon thereafter.

The PhD position is funded for three years, there is no teaching duty
associated with this position and the gross salary is approximately
41,000 Euro per year.

The Postdoc position is funded for two years, an extension will be
sought. There is no teaching duty associated with this position and
the gross salary is approximately 54,000 Euro per year.

Both positions will be funded through a project on robust compression
methods in machine learning. The successful candidates will have a
strong background in calculus of variations, optimization, or
numerical analysis with interest in machine learning.

For further details see the job advertisements https://rb.gy/sb7aaz
and here https://rb.gy/yreoc3.

Please send your questions and applications to leon.bungert@uni-
wuerzburg.de. The deadline for applications is August 30, 2024.


From: Kent-Andre Mardal kent-and@simula.no
Date: June 22, 2024
Subject: PhD and Postdoc Positions, Simula Research Lab, Norway


Scientific breakthroughs in neuroscience attempt to explain the need
for sleep and the develop- ment of neurodegenerative diseases such as
Alzheimer's and Parkinson's diseases in terms of fluid dynamics: the
waste created during the day is cleared away as we sleep or it
accumulates. However, a decade of research after the original theory
was posed has revealed that the underlying physical mechanisms are
still not understood and that advanced mathematical tools are
needed. In this project we propose a research program addressing new
fluid dynamics mechanisms; novel numerical analysis for advanced
multi-physics brain simulations; a framework for patient-specific
simulations.

We will exploit reduced order and machine learning methods in addition
to finite element solutions. With successful delivery, aCleanBrain
will establish the main drivers of brain fluid dynamics, provide a
foundation for accurate, efficient and robust algorithms for
multi-physics problems and develop a software framework for advanced
biomechanical brain simulations.

We are looking for candidates with a solid track record contributing
to one (or more) of these aims.

The aCleanBrain project is funded by the ERC advanced grant funding
scheme.

More info can be found at:
https://www.simula.no/careers/job-openings/phd-candidate-and-postdoctoral-fellowships-available-in-scientific-computing-at-simula-research-laboratory


From: Daniel Ruprecht (TU Hamburg) ruprecht@tuhh.de
Date: June 27, 2024
Subject: PhD Position, Computational Mathematics, TUHH, Germany


A 4-year, 100% PhD position in computational mathematics is available
at TUHH in Hamburg, Germany.

https://stellenportal.tuhh.de/jobposting/667c286ebf4db610c92379ebff4828f2ec5606e60

The successful applicant will develop and implement efficient
numerical algorithms to solve differential equations in the context of
model-based tracking. Deadline for applications is 24 July 2024.


From: Wim Michiels Wim.Michiels@cs.kuleuven.be
Date: June 10, 2024
Subject: PhD Position, KU Leuven & Universite de Lille, Belgium/France


PhD position: Time-scale aware analysis and control of hybrid
networked systems

Many industrial and societal challenges are related to dynamical
systems and processes characterized by a strongly increasing level of
interconnectedness and complexity. This is particularly the case for
systems that involve interaction between many continuous and discrete
elements on multiple timescales. Current analysis and control
approaches, which are based on purely continuous or discrete-time
approximations and on time-scale separation, do not offer stringent
stability and performance guarantees and badly scale with the system
or network size.

The aim of the joint doctorate between KU Leuven (Wim Michiels) and
Universite de Lille (Laurentiu. Hetel) is to contribute to a new
generation of analysis methods with strong mathematical foundations,
that explicitly take timescale coupling into account and can be
translated into scalable design tools. The focus is on the design of
generic analysis and control methodologies, in line with the
transversal paradigm of control theory, yet the developments will be
steered and validated by application cases in electrical systems and
networks.

The methodology is grounded in the input-output viewpoint towards
dynamical systems and networks, the theory of dissipativity, and
recent advances in the domains of network science and hybrid control
systems.

More information and application instructions can be found at
https://www.kuleuven.be/personeel/jobsite/jobs/60344168?lang=en


From: Alexander Jung alex.jung@aalto.fi
Date: June 19, 2024
Subject: PhD Position, Mathematics of AI, Aalto Univ, Finland


I am opening a fully funded PhD position (up to 4 years) in my group
at Aalto University (Finland). The overarching topic will be the
development of a mathematical theory for trustworthy federated
learning https://research.fi/en/results/funding/81387

The position requires a strong background in numerical linear algebra,
convex analysis, distributed algorithms and probability theory.


From: Jan Heiland jan.heiland@tu-ilmenau.de
Date: July 05, 2024
Subject: PhD Position, Systems and Control, TU Ilmenau, Germany


We are looking for a PhD candidate for a 3-years project on LPV
approximations of nonlinear systems for controller design. The basic
idea is to design linear-parameter varying approximations of nonlinear
systems, add some model order reduction and control theory, and
develop a general purpose method for nonlinear feedback control of
large-scale or even infinite-dimensional systems.

This project has received its funding from the DFG which in particular
means that we can rely on a well-outlined, positively reviewed and
promising path to success.

A successful candidate comes with a master degree in math or in a
related fields and with basic knowledge or sound interest in one or
more of the fields systems and control, differential equations,
numerical linear algebra, or modelling and simulation of dynamical
systems.

Relevant support, in addition to the direct supervision by Dr. Jan
Heiland, is provided through the group of Prof. Karl Worthmann with,
among others, currently 5 PhD students.

To apply and for more information, refer to
https://jobundkarriere.tu-ilmenau.de/jobposting/dba6322cf59485548da2935356aeee7bcb65cd890
or directly contact Jan Heiland jan.heiland@tu-ilmenau.de


From: Marie Stöbe jobs@wias-berlin.de
Date: June 19, 2024
Subject: PhD Position, WIAS Berlin, Germany


WIAS invites applications for a PhD student position (f/m/d)
(Ref. 24/08) "Optimal Transport and Machine Learning" in the
Weierstrass Group "Data-driven Optimization and Control" (Head:
Dr. Jia-Jie Zhu) to be filled at the earliest possible date.

We are looking for: candidates motivated in researching principled
optimal transport theory, optimization, and machine learning. The
concrete methodological components of the Ph.D. project include
Optimal transport and gradient flows for machine learning and
optimization; Probabilistic machine learning, Bayesian inference,
sampling; Robustness, causal inference, robust learning, robust
optimization; Continuous optimization for machine learning, mirror
descent algorithms. The Ph.D. student will closely work with
Dr. Jia-Jie Zhu (https://jj- zhu.github.io/).

Wanted: Candidates with a master's degree in computer science,
statistics, or applied mathe-matics, with a special focus on rigorous
training in machine learning or optimization, preferably in optimal
transport for machine learning applications. Those qualifications are
demonstrated by high-quality technical reports or publications in
relevant venues such as (NeurIPS/ICML/ICLR/AISTATS/AAAI/CoLT/JMLR/TMLR
etc.). Candidates with strong applied or industrial experiences in
deep learning will also be considered.

Please direct scientific queries to Dr. Jia-Jie Zhu
(zhu@wias-berlin.de).

The position is limited to 3 years. The reduced work schedule is 29,25
hours per week, and the salary is according to the German TVoeD Bund
scale. The Institute aims to increase the proportion of women in this
field, so applications from women are particularly welcome. Among
equally qualified applicants, disabled candidates will be given
preference.

Please upload your complete application documents 1-2-page cover
letter (including a very brief research statement); CV with/and links
to your existing projects and works; Master's thesis (or draft if not
yet completed); Transcripts of bachelor's and master's study; contact
information of 2-3 references from previous research projects who have
agreed to be contacted (not needed for the initial application) via
our applicant portal (https://short.sg/j/46359189) using the button
'Apply online' (https://short.sg/a/46359189).

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: Cornelia Böhnstedt cornelia.boehnstedt@fu-berlin.de
Date: July 07, 2024
Subject: PhD Positions, PharMetrX program, Potsdam/Berlin, Germany


The Graduate Research Training Program PharMetrX: Pharmacometrics &
Computational Disease Modelling is an interdisciplinary PhD program
bridging pharmacy and mathematics. PharMetrX aims at understanding the
drug-patient-disease interaction by analysing data of drug
concentration, effect & disease profiles of pre-/clinical trials and
of therapeutic care by developing and applying pharmacometric
(i.e. PK, PD, disease) mathematical & statistical models.

We are currently inviting applications to enrol in the PharMetrX
Research+ Program or the PharMetrX Training+ Program.

The PharMetrX Research+ Program (Research & Training & Network)
comprises an excellent research environment in the vibrant
Berlin/Potsdam area, fascinating and innovative research projects in a
highly relevant field, truly transdisciplinary working groups and
supervision, an individual mentorship from one of the associated
industry partner consortium, a specifically tailored training program
of compact academic and industry modules, a network of 115 peers and a
competitive 3.5 years fellowship.

The PharMetrX Training+ Program (Training & Network) offers a
specifically tailored training program of compact academic and
industry modules that convey the foundations in pharmacokinetics &
pharmacodynamics, systems biology, statistics, methodological
approaches of modelling & simulation etc. as well as a network of 115
peers. It is open for PhD students who have already started their PhD
in the field of pharmacometrics since March or will do so soon.

Both programs are open to candidates with a university degree in
pharmacy, pharmaceutical sciences, mathematics/statistics,
bioinformatics, life sciences, medicine, data sciences or some related
field: see https://www.PharMetrX.de.

Deadline for applications: 06 September 2024.
Start of Module Curriculum: March 2025.

PharMetrX is a joint program of Freie Universitat Berlin and the
University of Potsdam, supported by a consortium of global
research-driven pharmaceutical companies.


From: Andrea Arnold anarnold@wpi.edu
Date: June 05, 2024
Subject: CFP, Applied Monte Carlo Methods, La Matematica


CALL FOR PAPERS:
New Article Collection on Applied Monte Carlo Methods

We invite contributions to a new article collection on "Applied Monte
Carlo Methods" for La Matematica
(https://link.springer.com/journal/44007), the official journal of the
Association for Women in Mathematics (published by Springer). The goal
of this topical collection is to present a multitude of uses of Monte
Carlo methods driven by diverse applications in cutting edge fields of
research, including biological modeling, neural networks, RNA
dynamics, granular materials, and water filtration. We invite
manuscripts focused on algorithm development as well as updates of
existing methods in the context of specific real-world applications.

For more details and submission instructions, please see:
https://link.springer.com/journal/44007/updates/26871398

Submission is now open. The deadline for submissions is August 31,
2025, and rolling thereafter.

Please do not hesitate to contact us with questions, and we look
forward to receiving your articles.

Guest Editors:
Francesca Bernardi, Worcester Polytechnic Institute (USA)
Andrea Arnold, Worcester Polytechnic Institute (USA)


From: Alessandro Alla alessandro.alla@unive.it
Date: June 10, 2024
Subject: CFP, Numerical Methods for Hamilton-Jacobi Equations, CAMC


I am pleased to announce the opening of the special issue titled
"Numerical Methods for Hamilton-Jacobi Equations: In memory of Prof.
Maurizio Falcone."

Together with Dante Kalise and Chi-Wang Shu, I am serving as a guest
editor for this article collection in collaboration with
"Communications on Applied Mathematics and Computation"
(https://link.springer.com/journal/42967). The journal also welcomes
review papers within the scope of the special issue.

Manuscripts are due by January 1, 2025. When submitting, please
indicate that the paper belongs to a special issue and choose this
particular focused issue. Earlier submissions are also welcome. Papers
will go online first with a DOI immediately after typesetting.

Should you have any questions please do not hesitate to contact us.


From: Ray Tuminaro rstumin@sandia.gov
Date: June 28, 2024
Subject: Extended Deadline: CFP, Iterative Methods, SISC


Extendended submission deadline: July 15, 2024; Special Section,
Editor-in-Charge: Ray Tuminaro. Submissions are invited for a Special
Section of the SIAM SISC dedicated to recent progress in Iterative
Methods. Attendees of the the Copper Mountain Conference on Iterative
Methods (https://grandmaster.colorado.edu/copper/2024) as well as the
general community are invited to submit papers. Papers will be
subject to review by a guest Editorial Board.

Submissions are encouraged in all aspects of iterative methods, e.g.
asynchronous solvers; mixed precision; randomized solvers; eigenvalue/
singular value methods; extreme scale solvers; solvers and machine
learning; solvers in data science, engineering,for time-dependent
PDEs, PDEs with random data, multi-physics problems, indefinite
systems, earth/energy systems, fluids, electromagenetics, plasmas,
imaging, optimization, inverse problems, surrogate modeling, UQ;
iterative scientific software; quantum computing and iterative
solvers; multilevel solvers; multigrid ; parallel-in-time methods;
rank structured solvers;

Please submit manuscript and cover letter in PDF format on SISC's
online submission site (https://sisc.siam.org), selecting "Special
Section" and "Copper Mountain Special Section, Iterative Methods,
2024" from the relevant dropdown boxes.

For submission questions, contact Heather Blythe (HBlythe@siam.org),
SIAM Publ. Manager, Amanda Spadel (spadel@siam.org), Editorial
Assistant, or Editor-in-Charge, Ray Tuminaro (rstumin@sandia.gov)


From: Lothar Reichel reichel@math.kent.edu
Date: July 10, 2024
Subject: Software, Historical Papers, and Movies in ETNA


The complexity of some numerical methods makes them cumbersome to
code. This makes it difficult to apply these methods as well as to
verify published results achieved them. ETNA therefore is now
publishing software. The software published in ETNA is tested by
software editors both withregard to quality and ease of use. Similarly
as all papers published in ETNA, the software is available on the ETNA
website for free. Examples of software published in ETNA is provided
at

M. Mezzarobba, Rounding error analysis of linear recurrences using
generating series, Electron. Trans. Numer. Anal., 58 (2023),
pp. 196-227
https://etna.ricam.oeaw.ac.at/volumes/2021-2030/vol5/abstract.php?vol=58&pages=196-227

A. Buccini, L. Onisk, and L. Reichel, Range restricted iterative
methods for linear discrete ill-posed problems,
Electron. Trans. Numer. Anal., 58 (2023), pp. 348-377
https://etna.ricam.oeaw.ac.at/volumes/2021-2030/vol58/abstract.php?vol=58&pages=348-377

T. Mitchell, Fast computation of Sep_lambda via interpolation-based
globalitymcertificates, Electron. Trans. Numer. Anal., 58 (2023),
pp. 402-431
https://etna.ricam.oeaw.ac.at/volumes/2021-2030/vol58/abstract.php?vol=58&pages=402-431

D. A. Bini, Numerical computation of the roots of Mandelbrot
polynomials: an experimental analysis, Electron. Trans. Numer. Anal.,
61 (2024), pp. 1-27
https://etna.ricam.oeaw.ac.at/volumes/2021-2030/vol61/abstract.php?vol=61&pages=1-27

A. Buccini and L. Reichel, Software for limited memory restarted
minimization methods using generalized Krylov subspaces,
Electron. Trans. Numer. Anal., 61(2024), pp. 66-91
https://etna.ricam.oeaw.ac.at/volumes/2021-2030/vol61/abstract.php?vol=61&pages=66-91

Instructions about how to submit software papers can be found at
https://etna.ricam.oeaw.ac.at/submissions/

Please contact the ETNA software editors Alessandro Buccini or
Giuseppe Rodriguez if you have questions about software submission.

ETNA also publishes historical papers and papers of historical interest; see

C. Brezinski and M. Redivo-Zaglia, Reuben Louis Rosenberg (1909-1986)
and the Stein-Rosenberg theorem, Electron. Trans. Numer. Anal., 58
(2023), pp. A1-A38
https://etna.ricam.oeaw.ac.at/volumes/2021-2030/vol58/abstract.php?vol=58&pages=A1-A38

A. Hadjidimos, X. Li, and R. S. Varga, Application of the Schur-Cohn
Theorem to the precise convergence domain for a p-cyclic SOR iteration
matrix, Electron. Trans. Numer. Anal., 60 (2024), pp. A1-A14
https://etna.ricam.oeaw.ac.at/volumes/2021-2030/vol60/abstract.php?vol=60&pages=A1-A14

These kinds of papers should be submitted like regular papers.

Finally, it is worth mentioning that it is easy to publish movies that
illustrate computational methods that are described in papers
published in ETNA. For a recent example; see the paper

M. Pasha, A. K. Saibaba, S. Gazzola, M. I. Espanol, and E. de Sturler,
A computational framework for edge-preserving regularization in
dynamic inverse problems, Electron. Trans. Numer. Anal., 58 (2023),


From: Alex Barnett abarnett@flatironinstitute.org
Date: July 04, 2024
Subject: Contents, Adv. Comput. Math. (ACOM), 50 (3)


Numerical methods for forward fractional Feynman-Kac equation, Daxin
Nie, Jing Sun, Weihua Deng

An efficient rotational pressure-correction schemes for 2D/3D closed-
loop geothermal system, Jian Li, Jiawei Gao, Yi Qin

Semi-active damping optimization of vibrational systems using the
reduced basis method, Jennifer Przybilla, Igor Pontes Duff, Peter
Benner

A rotational pressure-correction discontinuous Galerkin scheme for the
Cahn-Hilliard-Darcy-Stokes system, Meiting Wang, Guang-an Zou, Jian Li

Approximation in the extended functional tensor train format,
Christoph Strossner, Bonan Sun, Daniel Kressner

Variable transformations in combination with wavelets and ANOVA for
high-dimensional approximation, Daniel Potts, Laura Weidensager

An optimal control framework for adaptive neural ODEs, Joubine Aghili,
Olga Mula

An unfitted finite element method with direct extension stabilization
for time-harmonic Maxwell problems on smooth domains, Fanyi Yang,
Xiaoping Xie

A sparse approximation for fractional Fourier transform, Fang Yang,
Jiecheng Chen, Tao Qian, Jiman Zhao

Error analysis of a collocation method on graded meshes for a
fractional Laplacian problem, Minghua Chen, Weihua Deng, Chao Min,
Jiankang Shi, Martin Stynes

An adaptive certified space-time reduced basis method for nonsmooth
parabolic partial differential equations, Marco Bernreuther, Stefan
Volkwein

Local behaviors of Fourier expansions for functions of limited
regularities, Shunfeng Yang, Shuhuang Xiang

Optimally convergent mixed finite element methods for the time-
dependent 2D/3D stochastic closed-loop geothermal system with
multiplicative noise, Xinyue Gao, Yi Qin, Jian Li

A Lagrangian approach for solving an axisymmetric thermo-
electromagnetic problem. Application to time-varying geometry
processes, Marta Benitez, Alfredo Bermudez, Pedro Fontan, Ivan
Martinez, Pilar Salgado

Stray field computation by inverted finite elements: a new method in
micromagnetic simulations, Tahar Z. Boulmezaoud, Keltoum Kaliche

Unconditional superconvergence analysis of a structure-preserving
finite element method for the Poisson-Nernst-Planck equations, Huaijun
Yang, Meng Li

Dominant subspaces of high-fidelity polynomial structured parametric
dynamical systems and model reduction, Pawan Goyal, Igor Pontes Duff,
Peter Benner

On the maximum principle and high-order, delay-free integrators for
the viscous Cahn-Hilliard equation, Hong Zhang, Gengen Zhang, Ziyuan
Liu, Xu Qian, Songhe Song

Fast numerical integration of highly oscillatory Bessel transforms
with a Cauchy type singular point and exotic oscillators, Hongchao
Kang, Qi Xu, Guidong Liu

Inverse problem for determining free parameters of a reduced turbulent
transport model for tokamak plasma, Louis Lamerand, Didier Auroux,
Philippe Ghendrih, Francesca Rapetti, Eric Serre

Computation of Laplacian eigenvalues of two-dimensional shapes with
dihedral symmetry, David Berghaus, Robert Stephen Jones, Hartmut
Monien, Danylo Radchenko

Spatial best linear unbiased prediction: a computational mathematics
approach for high dimensional massive datasets, Julio Enrique
Castrillon-Candas

Hermite kernel surrogates for the value function of high-dimensional
nonlinear optimal control problems, Tobias Ehring, Bernard Haasdonk

Stability analysis for electromagnetic waveguides. Part 2: non-
homogeneous waveguides, Leszek Demkowicz, Jens M. Melenk, Jacob
Badger, Stefan Henneking

Energy stable and maximum bound principle preserving schemes for the
Allen-Cahn equation based on the Saul'yev methods, Xuelong Gu, Yushun
Wang, Wenjun Cai

Error estimates for POD-DL-ROMs: a deep learning framework for reduced
order modeling of nonlinear parametrized PDEs enhanced by proper
orthogonal decomposition, Simone Brivio, Stefania Fresca, Nicola Rares
Franco, Andrea Manzoni

Dictionary-based model reduction for state estimation, Anthony Nouy,
Alexandre Pasco

Artificial neural networks with uniform norm-based loss functions,
Vinesha Peiris, Vera Roshchina, Nadezda Sukhorukova

The improvement of the truncated Euler-Maruyama method for non-
Lipschitz stochastic differential equations, Weijun Zhan, Yuyuan Li

The adjoint double layer potential on smooth surfaces in and the
Neumann problem, J. Thomas Beale, Michael Storm, Svetlana Tlupova

Optimal rational approximation on general domains, Alessandro Borghi,
Tobias Breiten



From: Irena Lasiecka lasiecka@memphis.edu
Date: July 08, 2024
Subject: Contents, EECT Evolution Equations and Control Theory, 13 (2)


Contents EECT-vol 13, nr 2- October 2024.
Please view this issue https://www.aimsciences.org/eect

1.Global-in-time solutions and Holder continuity for quasilinear
parabolic PDEs with mixed boundary conditions in the Bessel dual
scale, Fabian Hoppe, Hannes Meinlschmidt and Ira Neitzel

2.Boundedness in an attraction-repulsion chemotaxis system with both
nonlinear signal production and consumption, Chang-Jian Wang

3.Global boundedness of a density-dependent SIRS epidemic model with
nonlinear infection mechanism, Dongze Yan and Changchun Liu

4. Control of fractional in-time Schrodinger equations via
comprehensive Caputo derivative strategies, Luis Caicedo Torres and
Ciprian G. Gal

5. Nonexistence for a time-fractional damped wave equation in an
annulus, Mohamed Jleli and Bessem Samet

6. Global weak solutions to a doubly haptotactic cross-diffusion
system with -Laplacian diffusion, Changchun Liu and Enhui Pan

7. Sweeping process with unbounded delayed perturbation, Moufida
Amiour

8.Mild solution and finite-approximate controllability of higher-order
fractional integrodifferential equations with nonlocal conditions,
Abdul Haq and Bashir Ahmad

9.Mass-energy threshold dynamics for the focusing NLS with a repulsive
inverse-power potential, Alex H. Ardila, Masaru Hamano and Masahiro
Ikeda

10. Nonlinear logarithmic wave equations: Blow-up phenomena and the
influence of fractional damping, infinite memory, and strong
dissipation, Muhammad Fahim Aslam and Jianghao Hao


From: Irena Lasiecka lasiecka@memphis.edu
Date: June 05, 2024
Subject: Contents, EECT Evolution Equations and Control Theory, 13 (4)


Contents EECT, vol 13, nr 4-August 2024.

1.Asymptotically almost automorphy for impulsive integrodifferential
evolution equations with infinite time delay via Monch fixed point,
Noreddine Rezoug, Abdelkrim Salim and Mouffak Benchohra

2.Global dynamics of Bazykin-type cross-diffusive model with indirect
predator-taxis, Yun Zhang, Wenjie Zhang and Qiao Xin

3.On the existence and continuity results for viscoelastic problem
parabolic equations, Tran Ngoc Thach, Le Thi Minh Duc and Nguyen Duc
Phuong

4. Robustness of output feedback control for a wave-ODE cascaded
system to the input delay mismatch, Xiaodan Feng, Zhifei Zhang and
Yiyang Zou

5. Global existence and asymptotic behavior for semilinear damped wave
equations on measure spaces, Masahiro Ikeda, Koichi Taniguchi and Yuta
Wakasugi

6. Asymptotic behavior and life-span estimates for the damped
inhomogeneous nonlinear Schrodinger equation, Lassaad Aloui, Sirine
Jbari and Slim Tayachi

7. Continuous data assimilation and feedback control of fractional
reaction-diffusion equations, Guangying Lv and Yeqing Shan

8.Existence of strong solutions for a compressible fluid-solid
interaction system with Navier slip boundary conditions, Imene Aicha
Djebour

9.On the internal and boundary stabilization of a nonlinear suspension
bridge system: Exponential and polynomial decay rates, Ahmad Mugbil,
Mohammad M. Al-Gharabli, Adel M. Al-Mahdi and Abdelaziz Soufyane

10. Approximation of the set of integrable trajectories of the control
system with norm constraints on control functions, Nesir Huseyin, Anar
Huseyin and Khalik G. Guseinov

11. Painleve-Kuratowski convergences of solutions to nonlinear
multiobjective optimal control problems, Lam Quoc Anh, Vo Thanh Tai
and Tran Ngoc Tam


From: Ali R. Soheili soheili@um.ac.ir
Date: June 06, 2024
Subject: Contents, Iranian J Numerical Analysis and Optimization, 14 (2)


We are pleased to deliver you the latest issue of the Iranian Journal
of Numerical Analysis and Optimization (Volume 14, Issue 2 - Serial
Number 29, June 2024), is online now.

The Iranian Journal of Numerical Analysis and Optimization (IJNAO) is
indexed in Scopus, has no page charges, and publishes original papers
of high scientific value in all areas of numerical analysis and
optimization. All research articles accepted and published by IJNAO
are immediately freely available online to read, download, and share,
without any subscription charges or registration barriers.

Further information is available on the website:
https://ijnao.um.ac.ir/

1. Quantum solutions of a nonlinear Schrodinger equation, S. Arfaoui;
Ben Mabrouk

2. Discontinuous Galerkin approach for two-parametric
convection-diffusion equation with discontinuous source term,
K. R. Ranjan; S. Gowrisankar

3. High order second derivative multistep collocation methods for
ordinary differential equations, S. Fazeli

4. Jarratt and Jarratt-variant families of iterative schemes for
scalar and system of nonlinear equations, O. Ogbereyivwe;
E. J. Atajeromavwo; S. S. Umar

5. An innovative particle physics optimization algorithm for efficient
test case minimization in software testing, U. Jaiswal; A. Prajapati

6. Dynamics of Cholera Pathogen Carriers and Effect of Hygiene
Consciousness in Cholera Outbreaks, S.F. Abubakar; M.O. Ibrahim

7. Drug release from a two-layer stent coating considering the
viscoelastic property of the arterial wall: A mathematical and
numerical study, E. Azhdari; A. Emami

8. Mathematical analysis and forecasting of controlled Spatio-temporal
dynamics of the EG.5 Virus, E.M. Moumine; O. Balatif; M. Rachik

9. Optimizing natural gas liquids (NGL) production process: A
multi-objective approach for energy-efficient operations using genetic
algorithm and artificial neural networks, N. Sabeghi; B. Kiani Talaei;
R. Ghanbari; K. Ghorbani-Moghadam

10. A new bi-level data envelopment analysis model to evaluate the
Human Development Index, E. Hajinezhad; H. Hajinezhad; M.R. Alirezaee

11. Modeling individual mobility's impact on COVID-19 transmission:
Insights from a two-patch SEIR-V approach, M. Bouziane;
M.A. Boubekeur; M.E.B. Keddar; O. Belhamiti

12. Goursat problem in Hyperbolic partial differential equations with
variable coefficients solved by Taylor collocation method, F. Birem;
A. Boulmerka; H. Laib; C. Hennous



From: Yonghui Yu yyu@lsec.cc.ac.cn
Date: June 14, 2024
Subject: Contents, Journal of Computational Mathematics, 42 (2)


Journal of Computational Mathematics, Volume 42 (2024), issue 2
https://www.global-sci.org/intro/articles_list/jcm/2512.html

CONTENTS

Super-resolution Reconstruction by Huber Regularization and Tailored
Finite Point Method, Wenli Yang, Zhongyi Huang and Wei Zhu Image

Stability and Convergence of Stepsize-dependent Linear Multistep
Methods for Nonlinear Dissipative Evolution Equations in Banach Space,
Wansheng Wang

Generalized Jacobi Spectral Galerkin Method for Fractional-order
Volterra Integro-differential Equations with Weakly Singular Kernels,
Yanping Chen, Zhenrong Chen and Yunqing Huang

Banded M-Matrix Splitting Preconditioner for Riesz Space Fractional
Reaction-dispersion Equation, Shiping Tang, Aili Yang and Yujiang Wu

Modified Stochastic Extragradient Methods for Stochastic Variational
Inequality, Ling Zhang and Lingling Xu

Uniform Superconvergence Analysis of a Two-grid Mixed Finite Element
Method for the Time-dependent Bi-wave Problem Modeling D- wave
Superconductors, Yanmi Wu and Dongyang Shi

An Efficient Finite Difference Method for Stochastic Linear
Second-order Boundary-value Problems Driven by Additive White Noises,
Mahboub Baccouch

The Conservative Conforming and Nonconforming Vems for Fourth Order
Nonlinear Schrodinger Equations with Trapped Term, Meng Li, Jikun
Zhao, Zhongchi Wang and Shaochun Chen

Unconditional Error Analysis of Vems for a Generalized Nonlinear
Schrodinger Equation, Meng Li, Jikun Zhao and Shaochun Chen

A Scalar Auxiliary Variable(SAV) Finite Element Numerical Scheme for
the Cahn-Hilliard-Hele-Shaw System with Dynamic Boundary Conditions,
Changhui Yao, Fengdan Zhang and Cheng Wang

A Reduced Order Schwarz Method for Nonlinear Multiscale Elliptic
Equations Based on Two-layer Neural Networks, Shi Chen, Zhiyan Ding,
Qin Li and Stephen J. Wright

Multirate Time Iterative Scheme with Multiphysics Finite Element
Method for a Nonlinear Poroelasticity, Zhihao Ge, Hairun Li and
Tingting Li



From: Yonghui Yu yyu@lsec.cc.ac.cn
Date: June 14, 2024
Subject: Contents, Journal of Computational Mathematics, 42 (3)


Journal of Computational Mathematics, Volume 42 (2024), issue 3
https://www.global-sci.org/intro/articles_list/jcm/2530.html

Content

Semi-proximal Point Method for Nonsmooth Convex-concave Minimax
Optimization, Yuhong Dai, Jiani Wang and Liwei Zhang

Approximating the Stationary Bellman Equation by Hierarchical Tensor
Products, Mathias Oster, Leon Sallandt and Reinhold Schneider

Sharp Pointwise-in-time Error Estimate of L1 Scheme for Nonlinear
Subdiffusion Equations, Dongfang Li, Hongyu Qin and Jiwei Zhang

Sparse Recovery Based on the Generalized Error Function, Zhiyong Zhou

One-parameter Finite Difference Methods and Their Accelerated Schemes
for Space-fractional Sine-Gordon Equations with Distributed Delay,
Ruihan Guo and Yan Xu

Weak Approximations of Stochastic Partial Differential Equations with
Fractional Noise, Meng Cai, Siqing Gan and Xiaojie Wang

Solving Systems of Phaseless Equations via Riemannian Optimization
with Optimal Sampling Complexity, Jianfeng Cai and Ke Wei

A New Global Optimization Algorithm for Mixed-Integer Quadratically
Constrained Quadratic Fractional Programming Problem, Bo Zhang, Yuelin
Gao, Xia Liu and Xiaoli Huang

Invariants-preserving Du Fort-Frankel Schemes and Their Analyses for
Nonlinear Schrodinger Equations with Wave Operator, Dingwen Deng and
Zhijun Li

Nonmonotone Local Minimax Methods for Finding Multiple Saddle Points,
Wei Liu, Ziqing Xie and Wenfan Yi

Mixed Discontinuous Galerkin Method for Quasi-Newtonian Stokes Flows,
Yanxia Qian, Fei Wang and Wenjing Yan


From: Raimonds Ciegis rc@vgtu.lt
Date: June 29, 2024
Subject: Contents, Mathematical Modelling and Analysis, 29 (3)


ATHEMATICAL MODELLING AND ANALYSIS
The Baltic Journal on Mathematical Applications, Numerical Analysis
and Differential Equations
ISSN 1392-6292, ISSN 1648-3510 online, Electronical edition:
http://mma.vgtu.lt
Raimondas {\v{C}}iegis (Editor) Volume 29, Issue 3, 2024 (p.387-599)

CONTENTS

ZhiPeng Liu, DongYa Tao and Chao Zhang, An Efficient Spectral Method
for Nonlinear Volterra Integro-Differential Equations with Weakly
Singular Kernels

Haniye Dehestani, Yadollah Ordokhani and Mohsen Razzaghi, An Accurate
Numerical Scheme for Three-Dimensional Variable-Order Time-Fractional
Partial Differential Equations in Two Types of Space Domains

Harijs Kalis and Ilmars Kangro, Mathematical Modelling Electrically
Driven Free Shear Flows in a Duct under Uniform Magnetic Field

Abdelmonaim Saou, Driss Sbibih, Mohamed Tahrichi and Domingo Barrera,
Spline Quasi-Interpolation Numerical Methods for Integro-Differential
Equations with Weakly Singular Kernels

Ghizlane Zineddaine, Abdelaziz Sabiry, Said Melliani and Abderrazak
Kassidi, Existence Results in Weighted Sobolev Space for Quasilinear
Degenerate \boldmath{$p(z)-$}Elliptic Problems with a Hardy Potential

Diego Caratelli and Paolo Emilio Ricci, A Note on Fractional-Type
Models of Population Dynamics

Annu Rani, Dinesh Kumar Madan, Naveen Kumar and Mukesh Punia, Plane
Waves at an Interface of Thermoelastic and Magneto- Thermoelastic
Media

Yu Zhou and Yujian Jiao, Spectral Method for One Dimensional
Benjamin-Bona-Mahony- Burgers Equation Using the Transformed
Generalized Jacobi Polynomial

Carmen Coll, Dami\'an Ginestar, Alicia Herrero and Elena S\'anchez,
Effectivity of the Vaccination Strategy for a Fractional-Order
Discrete- Time SIC Epidemic Model

Chadi Amissi, El Mostafa Magri, Mustapha Lhous and Larbi Afifi,
Compensation Problem in Linear Fractional Order Disturbed Systems

Shalva Amiranashvili and Raimondas \v{C}iegis, Stability of the
Higher-Order Splitting Methods for the Nonlinear Schr\" {o}dinger
Equation with an Arbitrary Dispersion Operator

Mindaugas Radziunas, Eduard Kuhn and Hans Wenzel, Solving a Spectral
Problem for Large-Area Photonic Crystal Surface- Emitting Lasers



End of Digest
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