Today's Editor:
David S. Bindel
Cornell University
bindel@cornell.edu
Today's Topics:
New book: Moving Frames for the Numerical Solution of Partial Differential Equations in Complex Domains
5th Young Mathematicians in Model Order Reduction Conference (YMMOR 2026), Virginia Tech, May 2026
Call for MS submissions, WAVE-NED Conference on Analysis, Modeling and Numerics of Waves, Aug 2026
Call for submissions, MCQMC in Edinburgh, UK, Jun 2026
Contributions on Advances in algorithm design for Numerical Earth System Modelling at EGU, May 2026
Invitation to an Asia-USA Seminar – Dec. 2 (USA) | Dec. 3 (Asia)
NUMRAD Summer School - June 2026
Reminder: Call for Abstracts for Section S15 Uncertainty Quantification, Mar 2026
Workshop/Summer School: Partial Differential Equations, Optimal Design and Numerics, Aug-Sep 2026
Postdoc Position: NA + ProbAI, University of Manchester, UK
Postdoc position in the Mathematical Institute, University of Oxford, UK
PhD position in Numerical Analysis at Delft University of Technology, Netherlands
Contents, AIMS Advances in Computational Science and Engineering, Vol. 6, Art. 3-4
Contents, AIMS Applied Mathematics for Modern Challenges, Vol. 6, Art. 3
Contents, AIMS Inverse Problems and Imaging, Vol. 21
See this issue of NA Digest on the web at:
https://na-digest.coecis.cornell.edu/na-digest-html/25/v25n49.html
Submissions, FAQs, and archives:
https://na-digest.coecis.cornell.edu/
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From: Sehun Chun sehun.chun@yonsei.ac.kr
Date: December 01, 2025
Subject: New book: Moving Frames for the Numerical Solution of Partial Differential Equations in Complex Domains
I am pleased to share my new book on the application of moving frames
to the numerical solution of partial differential equations.
Moving Frames for the Numerical Solution of Partial Differential
Equations in Complex Domains: Computation Using Orthonormal Basis
Vectors, Sehun Chun, Springer, 2026
A summary of the book is provided below.
This book presents a comprehensive and geometrical approach to solving
partial differential equations (PDEs) on complex curved domains using
orthonormal moving frames. Rooted in Élie Cartan’s classical theory
but adapted for computational practicality, the framework aligns local
basis vectors with the intrinsic geometry and anisotropy of the
domain, enabling accurate and efficient discretization without
requiring explicit metric tensors or Christoffel symbols. Topics
include the construction of moving frames on general manifolds,
covariant derivatives via connection 1-forms, and frame- based
formulations of gradient, divergence, curl, and Laplacian operators.
Extensive MATLAB and C++ implementations (via Nektar++) are provided
for benchmark problems in diffusion-reaction systems, shallow water
equations, and Maxwell’s equations on complex surfaces such as the
sphere, pseudosphere, and atrial tissue. Emphasizing clarity and
accessibility, the book blends theory, visualization, and numerical
practice, making it an essential resource for graduate students and
researchers in scientific computing, applied mathematics, and
engineering disciplines dealing with PDEs on non-Euclidean domains.
The book is available at Springer.com
(https://link.springer.com/book/10.1007/978-981-95-4495-0) or Amazon.com.
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From: Sean Reiter sjr9995@nyu.edu
Date: December 01, 2025
Subject: 5th Young Mathematicians in Model Order Reduction Conference (YMMOR 2026), Virginia Tech, May 2026
We are pleased to announce that the fifth Young Mathematicians in
Model Order Reduction Conference (YMMOR 2026) will be held at Virginia
Tech in Blacksburg, VA, USA, from the 25th to the 29th of May
2026. This is the first iteration of YMMOR to take place in the USA.
The conference is designed for master's students, doctoral students,
and early-stage postdocs working in the field of model order
reduction. It provides an excellent opportunity to discuss one's work
in the field of model order reduction and connect with other young
researchers. Presenting a completed work is not required; open
questions are welcome.
We would also like to point out that YMMOR 2026 will occur the week
after the 27th Conference of the International Linear Algebra Society
(ILAS 2026), also held at Virginia Tech in Blacksburg, VA, USA, from
the 18th to the 22nd of May 2026. This scheduling allows YMMOR 2026
participants to plan accordingly if they are interested in attending
ILAS 2026.
For further information and registration, please visit our homepage:
https://seminar.math.vt.edu/ymmor/
Should you have any questions, feel free to email us at:
ymmor@math.vt.edu
Registration is now open (until the 9th of January), and early
registration is recommended due to limited capacity.
We eagerly anticipate your presence in Blacksburg.
Sincerely,
The YMMOR 2026 organizing committee
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From: Carolina Urzúa-Torres c.a.urzuatorres@tudelft.nl
Date: December 03, 2025
Subject: Call for MS submissions, WAVE-NED Conference on Analysis, Modeling and Numerics of Waves, Aug 2026
Dear colleagues,
We are pleased to announce the WAVE-NED Conference on Analysis,
Modeling and Numerics of Waves, which will take place at TU Delft (The
Netherlands) from 26.08.2026 to 28.08.2026.
The aim of this conference is to bring together mathematicians working
on wave phenomena across a wide range of physical contexts. The goal
is to foster interaction and knowledge exchange between experts in
analysis, mathematical modeling, and numerical simulation of wave
propagation. The meeting is organized under the umbrella of the
4TU.AMI Strategic Research Initiative WAVES NL: Advancing Mathematical
Methods for Wave Phenomena.
The program will feature several mini symposia as well as five plenary
lectures by:
Stéphanie Chaillat (ENSTA Paris)
Barbara Kaltenbacher
(University of Klagenfurt)
Björn de Rijk (KIT)
Euan Spence
(University of Bath)
Manuel Torrilhon (RWTH Aachen)
We invite you to submit proposals for mini symposia on topics related
to wave phenomena. Further details on registration, deadlines, and
scientific program can be found on the conference website
(https://www.tudelft.nl/evenementen/2026/ewi/diam/wave-ned)
With best regards,
The WAVE-NED Organizing Committee
(Victorita Dolean,
*Anna Geyer, Julian Koellermeier, Vanja Nikolić, Carlos Pérez
Arancibia, Laura Scarabosio, *Carolina Urzúa-Torres.
* local organizers )
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From: Jonas Latz jonas.latz@manchester.ac.uk
Date: December 05, 2025
Subject: Call for submissions, MCQMC in Edinburgh, UK, Jun 2026
Dear all,
The 17th International Conference on Monte Carlo and quasi-Monte Carlo
Methods in Scientific Computing (MCQMC) will take place in Edinburgh, UK,
from June 8th-12th 2026 (https://maths.ed.ac.uk/events/mcqmc-2026).
We now invite submission for special sessions and contributed talks, with
deadlines to submit being February 16th 2026 and February 23rd 2026,
respectively. Please find detailed information and the submission links here:
https://maths.ed.ac.uk/mcqmc-2026/contributing. Topics of the meeting are
listed here: https://maths.ed.ac.uk/mcqmc-2026/highlights; submissions in
related areas are also welcome.
We are looking forward to your contributions!
Best wishes,
Jonas
on behalf of the organising committee Neil Chada, Abdul-Lateef Haji-Ali, Jonas
Latz, Chris Oates, Aretha Teckentrup (Head of committee), Sara Wade,
Konstantinos Zygalakis.
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From: Daniel Ruprecht ruprecht@tuhh.de
Date: December 02, 2025
Subject: Contributions on Advances in algorithm design for Numerical Earth System Modelling at EGU, May 2026
We are inviting contributions to our Session AS1.3 "Advances in
algorithm design for Numerical Earth System Modelling" at the General
Assembly of the European Geosciences Union (EGU) in Vienna from 3 - 8
May 2026.
Please click the following link for the detailed session abstract and
abstract submission:
https://www.egu26.eu/session/56088
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From: Pablo Seleson selesonpd@ornl.gov
Date: December 01, 2025
Subject: Invitation to an Asia-USA Seminar – Dec. 2 (USA) | Dec. 3 (Asia)
Dear Colleagues,
We would like to invite you to the Asia-USA seminar series hosted by
the USACM Technical Thrust Area on Mathematical Methods in
Computational Engineering & Sciences (Math Methods TTA), which will
feature one speaker from Asia and one from the USA. Details of the
seminar are as follows:
Time: Tuesday, 12/2, 8–9 PM New York (EST) | Wednesday, 12/3, 9–10 AM
Beijing (CST)
Presentation 1: “Constructing Macroscopic Dynamics Using Deep
Learning” by Dr. Qiaoxiao Li (National University of Singapore)
Presentation 2: “Data-Driven Forecasting of High-Dimensional Transient
and Stationary Processes via Space-Time Projection” by Dr. Oliver
Schmidt (University of California San Diego)
For further presentation details and upcoming seminars, please check
the Math Methods TTA webpage:
https://www.usacm.org/site_page.cfm?pk_association_webpage_menu=11354&pk_association_webpage=25781
Join via Zoom:
https://us06web.zoom.us/j/87128308426?pwd=Z2mldXUDHWVyaJQv99EU8FuHDXKCW4.1
Sincerely,
Gianmarco Mengaldo, National University of Singapore (main organizer)
Pablo Seleson, Oak Ridge National Laboratory
Yue Yu, Lehigh University
Guglielmo Scovazzi, Duke University
Aditya Kumar, Georgia Institute of Technology
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From: Fabio Zoccolan fabio.zoccolan@epfl.ch
Date: December 01, 2025
Subject: NUMRAD Summer School - June 2026
We are pleased to announce that the second edition of the Summer
School on “Numerical methods for random differential models”
(NUMRAD26), will take place at the Bernoulli Center at EPFL, Lausanne
(CH), from June 2nd to 5th, 2026.
The summer school will cover both introductory and advanced topics on
numerical methods in the following areas: high-dimensional
approximation, Gaussian processes, reduced order modeling for
scientific machine learning, and mathematical finance. The up-to-date
program of the summer school can be found at
https://numrad.epfl.ch/scientific-program/
The school is addressed to young mathematicians (PhD students, early
postdoc researchers, and highly motivated master students), and it
will consist in lectures delivered by world-wide renowned
experts. Participants will have the chance to share their research
during a poster session.
There are no registration fees, but the number of participants is
limited. You can apply to the summer school by submitting the
application form by February 13th 2026 at:
https://numrad.epfl.ch/registration/
Applicants will be informed of the admission decision by email within
three weeks after the application deadline.
For more details, please visit: https://numrad.epfl.ch
The event is funded by the Bernoulli Center at EPFL, the EDOC EPFL,
and by the CSQI Chair.
Looking forward to seeing you in Lausanne next June!
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From: Laura Scarabosio laura.scarabosio@ru.nl
Date: December 02, 2025
Subject: Reminder: Call for Abstracts for Section S15 Uncertainty Quantification, Mar 2026
Dear Colleagues,
Just as a short reminder, we cordially invite you to contribute to
Section S15: Uncertainty Quantification of the 96th Annual Meeting of
the International Association of Applied Mathematics and Mechanics
(GAMM), March 16–20, 2026, taking place at the University of
Stuttgart, Germany
(https://jahrestagung.gamm.org/annual-meeting-2026/96th-annual-meeting-2/)
Abstract submission is still possible until December 8, 2025.
We welcome contributions broadly related to Uncertainty Quantification
(UQ), including (but not limited to): UQ in differential equations; UQ
in climate and environmental sciences; stochastic modeling and
simulation; UQ and machine learning; stochastic networks and random
graphs; optimization under uncertainty; Bayesian optimization; risk
analysis; data assimilation; Bayesian inverse problems. The time
allocated for each contributed talk is 20 minutes, and the number of
accepted contributions will depend on the total number of submissions
and available slots.
Section S15 will feature four confirmed keynote talks by Helmut
Harbrecht (University of Basel), Jana de Wiljes (TU Ilmenau), Kerstin
Lux-Gottschalk (TU Eindhoven) and Sebastian Krumscheid (KIT).
Feel free to share this announcement with colleagues who may be
interested.
We are looking forward to seeing you in Stuttgart,
Laura Scarabosio (Radboud University)
Björn Sprungk (TU Bergakademie Freiberg)
-------------------------------------------------------
From: Jan Giesselmann giesselmann@mathematik.tu-darmstatd.de
Date: November 28, 2025
Subject: Workshop/Summer School: Partial Differential Equations, Optimal Design and Numerics, Aug-Sep 2026
We are pleased to announce the XI edition of the Workshop/Summer
School 'Partial Differential Equations, Optimal Design and Numerics'
https://www.benasque.org/2026pde/, to be held at the Centro de
Ciencias de Benasque Pedro Pascual (in Benasque, on the Spanish side
of the Pyrenees) from August 23 to September 4, 2026.
The event aims to provide a forum for recent developments in the
theory of partial differential equations, with emphasis on control,
optimization, and numerical approximation, as well as their growing
connections with data science and machine learning. The programs of
the two most recent editions can be found at
https://benasque.org/2024pde/ and https://benasque.org/2022pde/.
The program will integrate research seminars with ample opportunities
for informal discussion and collaborative work, offering a welcoming
environment for researchers at all career stages to exchange ideas and
develop new projects. It is shaped dynamically throughout the event,
with thematic sessions and activities adjusted based on participants'
interests and suggestions. This flexible, relaxed, participant-driven
format has been a hallmark of earlier editions and remains central to
the workshop's character.
The Benasque Science Center provides excellent 24/7 facilities that
support interaction and scientific work, and the surrounding area
offers extensive opportunities for hiking and other outdoor
activities.
The organizers of the event are J. Giesselmann (TU Darmstadt),
O. Glass (U. Paris-Dauphine), A. Hayat (École des Ponts IP
Paris), N. De Nitti (U. Pisa), and E. Zuazua (FAU Erlangen-Nürnberg,
DeustoTech, UAM), and the scientific advisory board consists of
G. Buttazzo (U. Pisa) and G. Leugering (FAU Erlangen-Nürnberg).
Registration is currently open at
https://benasque.org/2026pde/cgi-bin/appl.pl
until June 10. Attendance is possible for one or both weeks. Places
are limited, so early registration is recommended. In the "Comments"
section of the application form, participants are welcome to indicate
their areas of expertise, suggestions for lectures or thematic
sessions, or their interest in additional activities.
We look forward to welcoming you in Benasque.
For any further information, please feel free to contact
info@benasque.org.
-------------------------------------------------------
From: Catherine Powell Catherine.Powell@manchester.ac.uk
Date: December 02, 2025
Subject: Postdoc Position: NA + ProbAI, University of Manchester, UK
We invite applications for a postdoc position to join the EPSRC-funded
Probabilistic (ProbAI) Hub (https://www.probai.uk). This numerical
analysis- focused PDRA position, will be based at the University of
Manchester, and co- supervised by Professor Catherine Powell
(University of Manchester) and Dr. Aretha Teckentrup (University of
Edinburgh). Funding will be available to visit the University of
Edinburgh and to attend Hub-sponsored events. We are seeking a
candidate with a strong background in some aspect of numerical
analysis for PDEs and an interest in scientific machine learning and
probabilistic methods, who enjoys working in collaborative
inter-disciplinary settings, and will contribute to the Hub’s research
efforts under the themes: Structure- constrained and Informed AI, and
Probabilistic & Uncertainty-aware Methods for Trustworthy and Green
AI. A representative list of possible project topics, and details
about how to apply, are given in the Further Particulars document on
the University of Manchester page.
https://www.jobs.manchester.ac.uk/Job/JobDetail?JobId=33918
The position is available from 1st February 2026, or as soon as
possible thereafter, until 31st January 2029. Closing Date for
Applications: 12th January 2026, with interviews envisaged to take
place before the end of January.
-------------------------------------------------------
From: Coralia Cartis coralia.cartis@maths.ox.ac.uk
Date: December 02, 2025
Subject: Postdoc position in the Mathematical Institute, University of Oxford, UK
Postdoctoral Research Associate in the Mathematical and Computational
Foundations of Artificial Intelligence
We invite applications for a Postdoctoral Research Associate (PDRA) to
join the EPSRC Hub on the Mathematical and Computational Foundations
of Artificial Intelligence. One PDRA will be recruited to work within
one of, or across, the four research themes: Learning with Structured
& Geometric Models, Low Effective-dimensional Learning Models,
Implicit Regularization, and Reinforcement Learning through Stochastic
Control.
This is two-year, fixed-term position, funded by a research grant from
the EPSRC (Mathematical Foundations of Intelligence: An “Erlangen
Programme” for AI). The start date for this post is flexible. The
successful candidate 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. The academic project
team at the Mathematical Institute is composed of Profs. Cartis,
Cohen, Hauser, Lambiotte, Reisinger, Sirignano, and Tanner.
For more details, see:
https://www.maths.ox.ac.uk/node/75031
Closing date: Friday, 09 January 2026, 12.00 UK TIME. Please note that
reference letters must also be received by this date.
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From: Vandana Dwarka v.n.s.r.dwarka@tudelft.nl
Date: December 01, 2025
Subject: PhD position in Numerical Analysis at Delft University of Technology, Netherlands
Dear Colleagues,
A fully funded 4-year PhD position is available at TU Delft. The
project develops high-performance numerical methods for large
indefinite systems, with emphasis on modern iterative solvers and
scalable implementations.
Vacancy and application link:
https://careers.tudelft.nl/job/Delft-PhD-Position-Computational-Mathematics-High-Performance-Solvers-for-Indefinite-Systems-2628-CD/1332804857/
Questions can be directed to v.n.s.r.dwarka@tudelft.nl
I would appreciate it if you could share this with interested
candidates.
Kind regards,
Vandana Dwarka
-------------------------------------------------------
From: Charley Denton cdenton@aimsciences.org
Date: December 03, 2025
Subject: Contents, AIMS Advances in Computational Science and Engineering, Vol. 6, Art. 3-4
Advances in Computational Science and Engineering
Volume: 6, Art. 3-4
December 2025
https://www.aimsciences.org/ACSE/article/2025/6/0
A discontinuous Galerkin time-stepping based NIPG framework for
Black-Scholes option pricing and validation with real market data
Jaspreet Kaur and Srinivasan Natesan
Anderson acceleration for perturbed Newton methods
Matt Dallas
-------------------------------------------------------
From: Charley Denton cdenton@aimsciences.org
Date: December 04, 2025
Subject: Contents, AIMS Applied Mathematics for Modern Challenges, Vol. 6, Art. 3
Applied Mathematics for Modern Challenges
Volume: 6, Art. 3
December 2025
https://www.aimsciences.org/ACSE/article/2025/6/0
Helsinki speech challenge 2024 – competition and open dataset
Martin Ludvigsen, Elli Karvonen, Markus Juvonen and Samuli Siltanen
-------------------------------------------------------
From: Charley Denton cdenton@aimsciences.org
Date: December 04, 2025
Subject: Contents, AIMS Inverse Problems and Imaging, Vol. 21
Inverse Problems and Imaging
Volume: 21
April 2026
https://www.aimsciences.org/ipi/article/2026/21/0
Maximum discrepancy generative regularization and Non-negative Matrix
Factorization for single channel source separation
Martin Ludvigsen and Markus Grasmair
Stability for inverse random source problems of the polyharmonic wave
equation
Peijun Li, Zhenqian Li and Ying Liang
A direct sampling method for inverse elastic scattering in cavity
structure
Jiahui Gao, Shuxin Li and Junliang Lv
On numerical methods for inverse eigenvalue problems based on trace
formulae and convergence analysis
Xiaowen Li and Xiang Xu
An inverse problem for a linear system of dispersive equations
Deissy Marcela Pizo and Juan Carlos Muñoz Grajales
A novel shape optimization approach for source identification in
elliptic equations
Wei Gong and Ziyi Zhang
Read more articles here:
https://www.aimsciences.org/ipi/article/2026/21/0
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End of Digest
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