Today's Editor:
David S. Bindel
Cornell University
bindel@cornell.edu
Today's Topics:
LoRaINNe workshop, France, November 2024
International Workshop: Mathematical Imaging and AI Algorithms, Strathclyde, Dec 2024
Minisymposium on Human Circulation and Associated Diseases at CFC, Santiago de Chile, March 2025
Minisymposium on Hyperbolic Equations during CFC, Santiago de Chile, March 2025
30th Biennial Conference in Numerical Analysis, Glasgow, June 2025
Submission extension for Householder XXII, Cornell University, USA, June 2025
Call for submissions, The 3rd HKSIAM Biennial Conference, Hong Kong, July 2025
Faculty Positions in NA at The University of Manchester, UK
Tenure-Track Faculty Position at Rice University, USA
Postdoc Positions, Computational and Applied Mathematics, Rice University, USA
Postdoctoral Positions, Mathematical and Computational Foundations of AI, University of Oxford, UK
PhD Position in Robust, Bilevel, and Discrete Optimization at the University of Technology Nuremberg, Germany
PhD Position, Reconstruction Methods in Micromagnetic Tomography, TU Bergakademie Freiberg, Germany
PhD Positions in Mathematics for our Future Climate, UK
Contents, AIMS Numerical Algebra, Control and Optimization, 14(4)
Contents, Adv. Comput. Math. (ACOM), 50(5)
See this issue of NA Digest on the web at:
https://na-digest.coecis.cornell.edu/na-digest-html/24/v24n20.html
Submissions, FAQs, and archives:
https://na-digest.coecis.cornell.edu/
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From: Konstantin Usevich konstantin.usevich@cnrs.fr
Date: October 31, 2024
Subject: LoRaINNe workshop, France, November 2024
We organize a two-day workshop on LOw-RAnk Approximations and their
Interactions with Neural NEtworks (LoRaINNe). The workshop will take place on
26-27 November 2024 in Nancy, France.
All details about the workshop can be found here:
https://cran-simul.github.io/workshop-lorainne-2024/
Registration is free but mandatory by 7 November at the latest.
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From: Ken Chen k.chen@strath.ac.uk
Date: October 30, 2024
Subject: International Workshop: Mathematical Imaging and AI Algorithms, Strathclyde, Dec 2024
We are pleased to invite you to the IPTA 2024 workshop, which will be
held at the University of Strathclyde on December 18-19, 2024.
The event will feature invited talks by distinguished researchers and
experts in the fields of inverse problems, imaging modeling, AI
technology theories and algorithms, as well as engineering and
industrial applications. There are a few spaces available for poster
presentations, and we welcome broad participation. Due to space
restrictions during the student examination period, registration is
necessary.
You can find the program at:
https://www.strath.ac.uk/science/mathematicsstatistics/iptaworkshop2024/
We look forward to welcoming you to Scotland!
Best regards,
Ke Chen, Will Shu, Roma Maguire, and Paul Murray (Organizers)
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From: Lucas Omar Müller lucas.mueller@unitn.it
Date: October 28, 2024
Subject: Minisymposium on Human Circulation and Associated Diseases at CFC, Santiago de Chile, March 2025
We are pleased to announce the minisymposium MS027: The Human
Circulation and Associated Diseases: Models, Methods, and Simulations
at the upcoming 23rd IACM Computational Fluid Conference (CFC2025),
scheduled for March 17-20, 2025, in Santiago de Chile. Please visit
the conference website for more details: https://cfc2025.iacm.info/.
This minisymposium, organized by Eleuterio F. Toro and Lucas O. Müller
(University of Trento, Italy), will bring together mathematical
modellers, biomedical engineers, computational scientists, and
physiologists to discuss the interdisciplinary challenges surrounding
human circulation and related diseases. Topics of interest include
innovative modelling approaches, novel computational methodologies,
and complex medical applications.
Researchers are encouraged to submit one-page abstracts by December
10, 2024. Submission details are available at
https://cfc2025.iacm.info/call_for_abstracts.
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From: Elena Gaburro elena.gaburro@univr.it
Date: October 30, 2024
Subject: Minisymposium on Hyperbolic Equations during CFC, Santiago de Chile, March 2025
We are pleased to announce the minisymposium MS013: "Hyperbolic
Equations: Novel Methods and Applications" at the upcoming 23rd IACM
Computational Fluid Conference (CFC2025), scheduled for March 17-20,
2025, in Santiago de Chile. Further details can be found at:
https://cfc2025.iacm.info/.
This minisymposium is organized by Elena Gaburro (Verona, Italy),
Eleuterio F. Toro (Trento, Italy) and Gino I. Montecinos (Temuco,
Chile).
The event is devoted to novel computational algorithms for solving
hyperbolic equations and related applications. The emphasis is on
novel research contributions.
On the algorithmic side this MS will consider numerical schemes addressing
- High order space-time non-linear schemes in the frameworks of Finite
Volume and Discontinuous Galerkin finite element methods, both
semi-discrete and fully discrete approaches;
- Numerical fluxes for conservative systems and fluctuations for
non-conservative systems;
- Schemes for hyperbolic balance laws with stiff source terms;
- Structure preserving model and methods;
- Lagrangian and Arbitrary-Lagrangian-Eulerian methods;
- Unstructured meshes, polytopal meshes and their generation and
optimization;
- Hyperbolization techniques for parabolic systems.
On the application side this MS will include, among others:
- Environmental problems (shallow water flows, sediment transport,
tsunami waves);
- Industrial problems (Euler and Navier-Stokes equations,
aerodynamics, combustion, magnetohydrodynamics);
- Medical problems (human circulation, cerebrospinal fluid-dynamics,
cardiovascular diseases, neurological diseases);
- Astrophysics (numerical relativity, rotating black holes, binary
systems, gravitational waves).
Potential contributors are encouraged to submit a one-page abstract by
December 10, 2024. Submission details are available at
https://cfc2025.iacm.info/call_for_abstracts.
The organizers would be pleased to be notified of abstract submission
to help us with organizational details (please write to
elena.gaburro@univr.it).
We look forward to seeing you in Santiago de Chile!
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From: Gabriel R. Barrenechea gabriel.barrenechea@strath.ac.uk
Date: October 30, 2024
Subject: 30th Biennial Conference in Numerical Analysis, Glasgow, June 2025
It is our pleasure to announce that the forthcoming 30th Biennial
Conference on Numerical Analysis will take place, as usual, at the
University of Strathclyde, Glasgow, Scotland, during June 24-27, 2025.
This long established conference is open to all researchers in the
field, and you are invited to contribute a talk on your current
work. PhD students and young researchers will find the environment
particularly welcoming.
The following distinguished researchers have accepted invitations for
plenary lectures at the conference:
Erik Burman, University College London
Nicolas Gillis, University of Mons
Jacek Gondzio, The University of Edinburgh (Fletcher-Powell Lecture)
Roland Herzog, Heidelberg University
Buyang Li, The Hong Kong Polytechnic University
Sherry Li, Lawrence Berkeley National Laboratory
Mária Lukácová-Medvidová,Johannes Gutenberg-University Mainz
Fabio Nobile, École Polytechnique Fédérale de Lausanne
Marie E. Rognes, Simula Research Laboratory
Katharina Schratz, Sorbonne University
Alex Towsend, Cornell University
Andy Wathen, University of Oxford (A R Mitchell Lecture)
Details on registration and submission of minisymposia/contributed
talks can be found at the Conference's web page
https://naconf.org.uk
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From: David Bindel bindel@cornell.edu
Date: November 01, 2024
Subject: Submission extension for Householder XXII, Cornell University, USA, June 2025
Dear colleagues,
Given disruptions due to a server move close to the submission deadline,
we have extended submissions for the Householder Symposium on
Numerical Linear Algebra by one week, to Nov 8. Submission information is at
https://householder-symposium.github.io/apply/
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From: Ronald Lok Ming Lui LUI lmlui@math.cuhk.edu.hk
Date: October 27, 2024
Subject: Call for submissions, The 3rd HKSIAM Biennial Conference, Hong Kong, July 2025
We are excited to announce that The Third HKSIAM Biennial Conference will
take place from July 7-11, 2025 at The Chinese University of Hong Kong.
The conference will provide a forum to expose the mathematical community to
the most updated advances in industrial and applied mathematics, promoting
research on various mathematical challenges arising from scientific problems
and industrial applications. 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 February 15 ,
2025.
For more information, see:
https://www.math.cuhk.edu.hk/conference/hksiam2025/.
For any inquiries, feel free to contact us at hksiam2025@math.cuhk.edu.hk.
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From: Francoise Tisseur francoise.tisseur@manchester.ac.uk
Date: October 28, 2024
Subject: Faculty Positions in NA at The University of Manchester, UK
Dear Colleagues,
We would like to draw your attention to three open positions in the
Department of Mathematics at the University of Manchester which may
appeal to numerical analysts. Applications are now open for the
following positions:
Lectureship in Numerical Analysis and Data Science
https://www.jobs.manchester.ac.uk/Job/JobDetail?JobId=30718
Professorship in Applied Mathematics (Interface with data
science/ML/AI)
https://www.jobs.manchester.ac.uk/Job/JobDetail?JobId=30715
Professorship in Applied Mathematics (General Applied or NA)
https://www.jobs.manchester.ac.uk/Job/JobDetail?JobId=30407
For the first two positions, we are looking for applicants working at
the interface of numerical analysis/applied mathematics and modern
topics in some aspect of data science, AI and/or ML. Please see the
job descriptions at the above webpages for full details of the posts
and contact details. The deadlines for all positions fall in January
2025. Informal enquiries may also be directed to David Silvester at
david.silvester@manchester.ac.uk.
-------------------------------------------------------
From: Fran Moshiri fran@rice.edu
Date: October 28, 2024
Subject: Tenure-Track Faculty Position at Rice University, USA
The Department of Computational Applied Mathematics & Operations
Research (CMOR) at Rice University, located in Houston, TX, seeks
applications for one tenure-track assistant professor position with an
anticipated start date of July 1, 2025.
We encourage candidates in the following areas to apply: computational
and applied mathematics with an emphasis on artificial intelligence,
machine learning, or data science. The department is seeking a
candidate with exceptional research potential and a strong commitment
to teaching, advising, and mentoring. Teaching experience at the
university level will be viewed as an advantage. Outstanding
candidates at higher ranks may also be considered.
More information about the Department can be found at https://cmor.rice.edu.
Each application must include an application letter, a current
curriculum vitae with a publication list, a research statement, a
teaching statement, and a diversity statement. The diversity statement
must address how you have contributed to a diverse and inclusive
community in the past and how you would contribute to developing a
diverse and inclusive learning community at Rice through
your teaching, research, and service. Applicants should also arrange
for three recommendation letters.
Applications must be made through https://apply.interfolio.com/157501.
To receive full consideration, the complete application must be
received by November 15, 2024, but the committee may consider
applications filed after that date.
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From: Matthias Heinkenschloss heinken@rice.edu
Date: October 30, 2024
Subject: Postdoc Positions, Computational and Applied Mathematics, Rice University, USA
The Department of Computational Applied Mathematics and Operations
Research at Rice University in Houston, Texas, invites applications
for postdoctoral researcher positions as part of the NSF-funded
Research Training Group, "RTG: Numerical Mathematics and Scientific
Computing” https://rtg- nasc.rice.edu
Backgrounds in one of the following research areas are preferred:
High-order numerical methods for partial differential equations
(PDEs); Structure-preserving and data-driven reduced order modeling;
Scientific machine learning; Large-scale optimization methods for
problems governed by PDEs.
The postdoctoral researchers will work with the research groups of
Prof. Heinkenschloss or of Prof. Riviere. In addition to research,
each postdoctoral researcher will engage in mentoring and outreach
activities and will be expected to teach one course per semester (a
total of two courses per year). Term of appointments will be two
years with the possibility of one additional year contingent upon
availability of funding and satisfactory performance. The appointments
will begin on July 1, 2025.
Eligibility: Candidates must be US citizens, nationals, or permanent
residents, and must have received a PhD in computational mathematics,
engineering, or a related subject prior to the start of the
appointment. We particularly encourage women and candidates from
historically underrepresented groups to apply.
Candidates should apply by December 1, 2024 to receive full
consideration, but applications will be considered until the positions
are filled. Each application should include a research statement, a
teaching statement, a diversity statement, an up-to-date curriculum
vitae with a publication list, and names and contact information for
at least three references.
The job advertisement is at https://www.mathjobs.org/jobs/list/25646
and applications are accepted through mathjobs.org as well.
-------------------------------------------------------
From: Jared Tanner tanner@maths.ox.ac.uk
Date: October 28, 2024
Subject: Postdoctoral Positions, Mathematical and Computational Foundations of AI, University of Oxford, UK
We invite applications for four Postdoctoral Research Associates
(PDRA) to join the EPSRC Hub on the Mathematical and Computational
Foundations of Artificial Intelligence. One PDRA will be recruited for
each of the following four research themes: Learning with Structured &
Geometric Models, Low Effective- dimensional Learning Models, Implicit
Regularization, and Reinforcement Learning through Stochastic
Control. A brief description of each these is as follows (additional
details are in the further particulars):
Learning with Structured and Geometric Models. We will apply tools
from manifold learning and Riemannian optimisation to leverage the
underlying manifold structure for better training and novel network
designs.
Low Effective-dimensional Learning Models. We will extend
foundational theory of how large ML systems can be regularised to have
dramatically fewer trainable parameters without sacrificing accuracy
by analysing the use of low- dimensional building blocks
Implicit Regularization. We aim to develop mathematical understanding
of implicit regularisation properties in deep neural networks to guide
the development of algorithmic paradigms aimed at combining
statistical optimality with computational efficiency.
Reinforcement Learning through Stochastic Control. We will develop
methods from stochastic control, which will provide a mathematically
grounded approach that has a well-posed continuous-time limit (as
opposed to traditional RL methods that are inherently discrete and do
not scale favourably for high frequency observations without judicious
hyper-parameter tuning).
The PDRAs will work with faculty across the multi-university Hub, but
will be employed by and directly supervised by faculty within the
Mathematical Institute at the University of Oxford. Faculty within
the Mathematical Institute associated with the above work packages
include Profs. Cartis, Cohen, Hauser, Lambiotte, Reisinger, Sirignano,
and Tanner.
These are two-year, fixed-term position, funded by a research grant
from the EPSRC. The starting date of this position is flexible with an
earliest start date of 01 March 2025.
The successful candidates will be expected to conduct research which
falls within the remit of this large-scale project and will have the
opportunity to do so collaboratively with other members of the hub,
both at Oxford and/or with hub partners which include universities as
well as companies and governmental organisations.
They will contribute to the activities of the wider machine learning
and data science research group and write up the results of their
work, with co-authors, for publication in refereed journals and
proceedings. There will be opportunities to contribute a small amount
of teaching to the department, of at most three hours a week during
the academic terms.
You will have, or be close to completing, a PhD in mathematics or a
related discipline, and possess sufficient specialist knowledge in the
discipline to work within established research programmes. Excellent
communication skills are essential, including the ability to write for
publication, present research proposals and results, and represent the
research group at meetings.
We proudly hold a departmental Athena SWAN Silver Award and an
institutional Race Equality Charter Bronze Award, which guide our
progress towards advancing racial and gender equality. As part of our
strategic aim to improve staff equality and diversity, we would
particularly welcome applications from women and BME candidates, who
are currently under-represented in positions of this type within the
department.
Please direct informal enquiries to the Recruitment Coordinator
(email: recruitment@maths.ox.ac.uk), quoting vacancy reference 176180.
Applicants will be selected for interview purely based on their
ability to satisfy the selection criteria as outlined in full in the
job description. You will be required to upload a statement setting
out how you meet the selection criteria, a curriculum vitae including
full list of publications, a statement of research interests, and the
contact details of two referees as part of your online
application. (NOTE: Applicants are responsible for contacting their
referees and making sure that their letters are received by the
closing date).
Applications for this vacancy are to be made online. To apply for this
vacancy and for further information, including a job description and
selection criteria, please click on the link below:
https://my.corehr.com/pls/uoxrecruit/erq_jobspec_details_form.jobspec?p_id=176180
Applications received before 12.00 noon UK time on Monday, 02 December
2024 will receive full consideration. Applications after this date
will be considered at the discretion of the committee.
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From: Johannes Thürauf johannes.thuerauf@utn.de
Date: October 30, 2024
Subject: PhD Position in Robust, Bilevel, and Discrete Optimization at the University of Technology Nuremberg, Germany
PhD Position in Robust, Bilevel, and Discrete Optimization at the
University of Technology Nuremberg (UTN) (Johannes Thürauf)
The University of Technology Nuremberg (UTN) is currently offering an
opening for a doctoral research opportunity in the field of robust,
bilevel, and discrete optimization at the Discrete Optimization Lab by
Johannes Thürauf.
- Potential research topics are flexible and can be in the fields of
robust, bilevel, discrete, and/or mixed-integer nonlinear
optimization.
- The doctoral research opportunity is fully funded (100% position –
TVL E13) and supervised by Johannes Thürauf.
- Applications will be reviewed on a rolling basis. To receive full
consideration, please apply until 24.11.2024. Applications received
after that date might still be considered.
For more details about the position and the application process,
please see the official advertisement here:
https://www.utn.de/en/career/opportunities-for-doctoral-researchers/#disc-opt
To learn more about the ongoing research in the lab, please visit my
personal website
https://www.johannesthuerauf.com/
and the Discrete Optimization Lab website
https://www.utn.de/en/departments/department-liberal-arts-and-sciences/discrete-optimization-lab/
Please feel free to share this announcement to any student who may be
interested. If you have any question regarding the position, please
do not hesitate to contact me at johannes.thuerauf@utn.de
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From: Christian Gerhards christian.gerhards@geophysik.tu-freiberg.de
Date: October 28, 2024
Subject: PhD Position, Reconstruction Methods in Micromagnetic Tomography, TU Bergakademie Freiberg, Germany
PhD Position, Reconstruction Methods in Micromagnetic Tomography, TU
Bergakademie Freiberg, Germany
As part of the project “Reconstruction Methods in Micromagnetic
Tomography,” we currently have an open PhD position at the
Geomathematics and Geoinformatics group
(https://tu-freiberg.de/en/geophysics) at TU Bergakademie Freiberg.
We are seeking an applied mathematician with an interest in concrete
geoscientific problems. Specifically, the project aims at an inverse
problem in paleomagnetism: obtaining more detailed information about
the magnetization of rock samples from scanning magnetic microscopy
data and microCT data. The tasks include both the mathematical
analysis of the problem as well as the development and application of
corresponding numerical methods.
The official posting can be found at
https://tu-freiberg.de/en/job-offers/scientific-employees,
job reference number 202/2024. For further information, feel free to
contact Prof. Christian Gerhards
(Christian.gerhards@geophysik.tu-freiberg.de)
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From: Jennifer Scott jennifer.scott@reading.ac.uk
Date: November 01, 2024
Subject: PhD Positions in Mathematics for our Future Climate, UK
Imperial College London, the University of Reading and the University
of Southampton (UK) invite passionate and dedicated individuals to
apply for our exciting new Centre for Doctoral Training in the
Mathematics for our Future Climate starting in October 2025.
Our 4-year PhD programme is a dynamic and interdisciplinary initiative
that harnesses the power of mathematics to address the urgent issues
presented by climate change. We offer fully-funded studentships
(including stipend, fees and a generous allowance for research-related
travel).
Further details of the programme and information on how to apply are
available at https://mfccdt.ac.uk/
Questions may be addressed to Admission.CDT-MFC@reading.ac.uk
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From: Charley Denton cdenton@aimsciences.org
Date: October 31, 2024
Subject: Contents, AIMS Numerical Algebra, Control and Optimization, 14(4)
December 2024, Vol. 14, No. 4
https://www.aimsciences.org/naco/article/2024/14/4
Preface
Hongwei Mei, Qingshuo Song and Chao Zhu
Decades of devotion: Celebrating George Yin on his 70th birthday in the realm of
stochastic fields
Qing Zhang
Collaboration and friendship with George Yin
Xuerong Mao
A lifelong friendship and fruitful collaboration: A journey of more than 30 years
with George Yin
Le Yi Wang
Pairs trading under a mean reversion model with regime switching
Emily Crawford Das, Phong Thanh Luu, Jingzhi Tie and Qing Zhang
Optimal adaptive identification under saturated output observations and non-i.i.d
data
Lantian Zhang and Lei Guo
Read more articles here:
https://www.aimsciences.org/naco/article/2024/14/4
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From: Alex Barnett abarnett@flatironinstitute.org
Date: October 26, 2024
Subject: Contents, Adv. Comput. Math. (ACOM), 50(5)
A pressure-residual augmented GLS stabilized method for a type of
Stokes equations with nonstandard boundary conditions
Huoyuan Duan, Roger C. E. Tan, Duowei Zhu
A stochastic perturbation analysis of the QR decomposition and its
applications
Tianru Wang, Yimin Wei
An electrical engineering perspective on naturality in computational
physics
P. Robert Kotiuga, Valtteri Lahtinen
Maximal volume matrix cross approximation for image compression
and least squares solution
Kenneth Allen, Ming-Jun Lai, Zhaiming Shen

Multilevel approximation of Gaussian random fields: Covariance
compression, estimation, and spatial prediction
Helmut Harbrecht, Lukas Herrmann, Kristin Kirchner, Christoph
Schwab

Improved a posteriori error bounds for reduced port-Hamiltonian
systems
Johannes Rettberg, Dominik Wittwar, Patrick Buchfink, Robin Herkert,
Jörg Fehr, Bernard Haasdonk
SVD-based algorithms for tensor wheel decomposition
Mengyu Wang, Honghua Cui, Hanyu Li
Interpolating refinable functions and n_s-step interpolatory
subdivision schemes
Bin Han
Eigenvalue analysis and applications of the Legendre dual-Petrov-
Galerkin methods for initial value problems
Desong Kong, Jie Shen, Li-Lian Wang, Shuhuang Xiang

On the latent dimension of deep autoencoders for reduced order
modeling of PDEs parametrized by random fields
Nicola Rares Franco, Daniel Fraulin, Andrea Manzoni, Paolo Zunino

Families of annihilating skew-selfadjoint operators and their
connection to Hilbert complexes
Dirk Pauly, Rainer Picard
Morley type virtual element method for von Kármán equations
Devika Shylaja, Sarvesh Kumar
Computing eigenvalues of quasi-rational Said–Ball–Vandermonde
matrices
Xiaoxiao Ma, Yingqing Xiao

Arbitrary order spline representation of cohomology generators for
isogeometric analysis of eddy current problems
Bernard Kapidani, Melina Merkel, Sebastian Schöps, Rafael Vázquez
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End of Digest
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