Today's Editor:
David S. Bindel
Cornell University
bindel@cornell.edu
Today's Topics:
Online hackathon, composing differentiable simulation pipelines, Aug 2026
Season 2 of the BOS Webinar Series starts September 1, 2026
Liverpool Discrete Mathematics Colloquium, 8-9 September 2026
Reminder, MFEM Community Workshop Sep 22–25 2026, Register by Sept. 11
Online training for preCICE, Oct 5-9, 2026 (Americas time zones)
Workshop: WOMBAT 2026, Nov 2026
ICERM Workshop on Numerical Linear Algebra in the Era of AI, May 2027
Faculty Positions in Applied Mathematics
PhD Position in Computational Science and Engineering, Machine Learning at Morgan State University
Contents, AIMS New Volume: CPAA Vol. 36
Call for Paper: NUMA special issue for OPERA 2026
See this issue of NA Digest on the web at:
https://na-digest.coecis.cornell.edu/na-digest-html/26/v26n33.html
Submissions, FAQs, and archives:
https://na-digest.coecis.cornell.edu/
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From: Dion Häfner dion.haefner@simulation.science
Date: August 07, 2026
Subject: Online hackathon, composing differentiable simulation pipelines, Aug 2026
Tesseract is an open-source tool for wrapping simulation components
so they compose into end-to-end differentiable pipelines. There is
currently a month-long online hackathon throughout August around
that idea.
The challenge is to take differentiable components that don't
naturally fit together (using different languages, frameworks, or
autodiff strategies) and compose them so gradients flow through the
whole thing, then use that to solve a real design, inference, or
training problem. Tracks cover inverse design, multi-physics
coupling, hybrid ML + mechanistic models, differentiable inference/
UQ, and differentiable rendering.
Details and registration: https://pasteurlabs.ai/tesseract-hackathon-2026
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From: Yasmine Beck y.beck@tue.nl
Date: August 10, 2026
Subject: Season 2 of the BOS Webinar Series starts September 1, 2026
The BOS Webinar Series is back for its second season, starting on September
1, 2026!
Season 2 features talks by researchers working on theoretical, computational,
and applied aspects of bilevel optimization. Seminars will take place bi-weekly
on Tuesdays at 4:00 pm CET via Microsoft Teams. Each session is
approximately 50 minutes long and may feature either one 40-minute talk or
two 20-minute talks, followed by discussion.
The schedule for Season 2 is:
September 1
Sanyou Mei (The Hong Kong University of Science and Technology)
David Villacís (Loyola University Andalusia)
September 15
José Fernando Camacho Vallejo (Tecnológico de Monterrey)
September 29
Federico Battista (University of Southern California)
Eneko Clemente (University of Zurich)
October 13
Yongjia Song (Clemson University)
October 27
Dorothee Henke (University of Passau)
Lasse Wulf (University of Southern Denmark)
November 10
Zhaosong Lu (University of Minnesota)
November 24
Emanuele Pizzari (Consiglio Nazionale delle Ricerche)
Vladimir Stadnichuk (University of Kassel)
December 8
Jacqueline Morgan (University of Naples Federico II and CSEF)
Updates and meeting links will be shared via the BOS mailing list. To join the
BOS mailing list, please use the membership form at
https://bileveloptimization.org/membership.
For more information about the webinar series, please visit the BOS Webinar
Series webpage: https://bileveloptimization.org/bos_webinar. Recordings of
talks from the first season are available on our YouTube channel:
https://www.youtube.com/@BOSWebinar.
We look forward to seeing you online!
Best wishes,
Yasmine Beck and Nagisa Sugishita
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From: John Sylvester john.sylvester@liverpool.ac.uk
Date: August 11, 2026
Subject: Liverpool Discrete Mathematics Colloquium, 8-9 September 2026
The 3rd Liverpool Discrete Mathematics Colloquium takes place on
8-9 September 2026 at the University of Liverpool, UK.
This year's edition focuses on mathematically rigorous analysis of
black-box AI and optimisation algorithms. The first day is devoted
to the Logic Aspects of Graph Neural Networks, while the second day
focuses on Stochastic Gradient Descent. Each day will feature a 2-
hour tutorial together with invited talks and time for discussion
and networking.
Date: 8-9 September 2026
Location: Ashton Lecture Theatre, University of Liverpool, UK
Website: https://j-sylvester.github.io/LDMC26
Registration: https://forms.gle/ZgsuxUoVXMPCkwDUA
All are welcome and the event is free of charge, however
registration is required by 25th of August in order to arrange the
coffee breaks and dinner. For more details consult the website.
Tutorial speakers:
- Michael Benedikt (Oxford) and Tony Tan (Liverpool): Logical
Aspects of Graph Neural Networks
- Steffen Dereich (Münster): Convergence of Stochastic Gradient
Descent
Invited speakers:
- Carsten Lutz (Leipzig)
- Emily Jin (Oxford)
- Benjamin Dupuis (ENS Paris)
- Alex Mijatovic (Warwick)
- Sarah Sachs (Bristol)
- Jonni Virtema (Glasgow)
The event is supported by:
- Heilbronn Institute for Mathematical Research
- Applied Probability Trust
- EPSRC
- University of Liverpool
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From: Qi Tang qtang@gatech.edu
Date: August 10, 2026
Subject: Reminder, MFEM Community Workshop Sep 22–25 2026, Register by Sept. 11
The MFEM team and Georgia Tech's School of Computational
Science and Engineering invite you to the 2026 MFEM
Community Workshop, Sep 22–25 at Georgia Tech, with a
virtual attendance option. Sep 22 will feature a hands-on
MFEM tutorial.
Register by Sep 11: https://forms.gle/sGtQrPFAMrgN1Kp59
In-person attendance fees: $150 (regular), $75 (students)
Remote participation is free (registration still required)
For full details, please visit https://mfem.org/workshop
Program highlights:
* Free tutorial with separate registration (Sep 22):
https://rb.gy/1w59h4
- Hybrid: Georgia Tech or Webex
- Ideal for new users
* Project news and roadmap
* Developer talks
* Student lightning talks
* In-person poster session
* Visualization contest, submit images/animations at:
https://rb.gy/tx8tzi
* Office hours
We look forward to engaging with you at the workshop!
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From: Benjamin Uekermann benjamin.uekermann@ipvs.uni-stuttgart.de
Date: August 12, 2026
Subject: Online training for preCICE, Oct 5-9, 2026 (Americas time zones)
preCICE is an open-source coupling library and ecosystem for general
partitioned multi-physics and multi-scale simulations, including
surface and volume coupling. The software provides methods for
transient-equation coupling, communication, time interpolation, and
data mapping. Several free and proprietary codes are currently coupled
with preCICE, such as OpenFOAM, SU2, and deal.II. preCICE's API is
available in all languages you need: C/C++, Python, Fortran, Matlab,
Julia, and even Rust.
An online hands-on training tailored to participants in the Americas
time zones will take place October 5–9, 2026. The course is suitable
for beginners. Sessions will run daily from 12–3 pm EDT (UTC-4) and
will cover both the essential first steps with preCICE and selected
advanced features. The program will also include invited presentations
from users in the Americas, together with a general overview of recent
preCICE developments and news.
More information and registration:
https://precice.org/precice-online-training-2026-oct.html
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From: Lindon Roberts lindon.roberts@unimelb.edu.au
Date: August 10, 2026
Subject: Workshop: WOMBAT 2026, Nov 2026
The 2026 Workshop on Optimisation, Metric Bounds, Approximation and
Transversality (WOMBAT) will be held at the University of Melbourne
from 25 to 27 November. This is an annual workshop organised by the
Mathematics of Computation and Optimisation (MoCaO) special interest
group of the Australian Mathematical Society.
The goal of WOMBAT is to bring together both Australian and
international researchers who work on all areas of optimisation. We
welcome contributions on any topic related to mathematical
optimisation: theoretical, computational, or applied.
This year's keynote speakers are Rachael Tappenden (University of
Canterbury) and Haihao Lu (MIT).
Registration is free and closes on 1 November. For more information,
see the conference website: https://wombat.mocao.org/
Note: WOMBAT is running two weeks before NeurIPS 2026 in
Sydney. Flights between Melbourne and Sydney are very frequent, and
take only 90 minutes.
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From: Yuanzhe Xi yxi26@emory.edu
Date: August 09, 2026
Subject: ICERM Workshop on Numerical Linear Algebra in the Era of AI, May 2027
ICERM Workshop on Numerical Linear Algebra in the Era of AI
May 17-21, 2027
Institute for Computational and Experimental Research in Mathematics
(ICERM)
Providence, Rhode Island
We are pleased to announce the ICERM workshop
"Numerical Linear Algebra in the Era of AI."
The workshop will bring together researchers from mathematics, computer
science, engineering, national laboratories, and industry to explore
emerging developments at the intersection of numerical linear algebra
and artificial intelligence.
Topics include iterative methods and preconditioning for large-scale
optimization, scalable matrix and tensor decompositions, randomized
and data-driven algorithms, learning-augmented numerical methods,
hardware-aware algorithms for GPUs and AI accelerators, and numerical
linear algebra challenges arising in large-scale machine learning.
Workshop information and confirmed speakers:
https://icerm.brown.edu/program/topical_workshop/tw-27-eai
Application:
https://app.icerm.brown.edu/Cube/apply/635
We encourage interested researchers and students to apply.
Organizers:
Jie Chen, Laura Grigori, Sherry Xiaoye Li, Yousef Saad,
Martin Stoll, and Yuanzhe Xi
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From: William L Kath kath@northwestern.edu
Date: August 13, 2026
Subject: Faculty Positions in Applied Mathematics
Northwestern University invites applications for two full-time
faculty positions in Applied Mathematics to begin in September 2027
in the Department of Engineering Sciences and Applied Mathematics
(http://www.mccormick.northwestern.edu/applied-math/). One
position will be at the assistant or associate level, and the other
will be open rank.
For full information, please go to
https://www.mccormick.northwestern.edu/applied-math/open-positions/
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From: Mingchao Cai Mingchao.Cai@morgan.edu
Date: August 08, 2026
Subject: PhD Position in Computational Science and Engineering, Machine Learning at Morgan State University
Applications are invited for a PhD student position in the Industrial
and Computational Mathematics (ICM) PhD Program at Morgan State
University, working with Dr. Mingchao Cai. Expected starting date:
Spring of 2027 or Fall of 2027.
The research is situated at the intersection of numerical analysis of
partial differential equations, computational science and engineering,
as well as machine learning. Potential topics include finite element
methods and efficient solvers for multiphysics PDEs, computational
fluid dynamics, poroelasticity, reduced-order modeling, and
machine-learning methods for scientific computing, with applications
in computational biomechanics, biomedical modeling, and energy
systems.
Strong candidates with backgrounds in applied mathematics,
computational mathematics, numerical analysis, scientific computing,
or related areas are encouraged to apply.
Further information about the ICM PhD Program can be found at:
https://catalog.morgan.edu/preview_program.php?catoid=27&poid=6251&returnto=1989
Applicants should submit an application for admission to the Morgan
State University School of Graduate Studies and provide all required
materials as directed by the School of Graduate Studies. No GRE is
required.
Strong candidates are encouraged to make an informal inquiry to
Mingchao.Cai@morgan.edu, including a CV and a brief description of
their research interests.
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From: Charley Denton cdenton@aimsciences.org
Date: August 12, 2026
Subject: Contents, AIMS New Volume: CPAA Vol. 36
Communications on Pure and Applied Analysis
Volume: 36
December 2026
https://www.aimsciences.org/cpaa/article/2026/36/0
Classification of anisotropic mixed-norm hardy spaces
Jun Liu, Jiashuai Ruan and Jiafu Zhang
Ollivier-Ricci curvature and W1-exponential convergence of Markov processes on
graphs Special Issue
Lingyan Cheng, Ruinan Li and Liming Wu
Higher-order derivative estimates for the heat equation on a smooth domain
Yoshinori Furuto and Tsukasa Iwabuchi
Generalized cross product and multiple-pole soliton solutions for the vector
derivative nonlinear Schrödinger equation
Zhenzhen Yang, Jing Shen and Huan Liu
Multigraphs and Time Ordered Isserlis-Wick formulae Special Issue
Sergio Luigi Cacciatori, Batu Güneysu and Sebastian Wündsch
Cahn–Hilliard–type models with logarithmic nonlinear terms
Dongze Wang, Xavier F. Cadet and Alain Miranville
Read more articles here:
https://www.aimsciences.org/cpaa/article/2026/36/0
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From: Wen-shin Lee wen-shin.lee@stir.ac.uk
Date: August 13, 2026
Subject: Call for Paper: NUMA special issue for OPERA 2026
Call for Papers: Numerical Algorithms special issue for OPERA 2026
Orthogonal Polynomials, Exponential Analysis, Rational Approximation, with
Applications
Dedicated to the 70th Birthday of Annie Cuyt
== Aims and Scope ==
In connection with the OPERA 2026 conference ( https://opera2026.uk 22–26
June 2026, University of Stirling, Scotland, UK), Numerical Algorithms
(Springer) will publish a Special Issue dedicated to the 70th birthday of Annie
Cuyt, featuring original research related to the core themes of the conference.
We invite submissions of high-quality, original research papers on topics
including, but not limited to:
* Orthogonal polynomials
* Exponential analysis
* Rational approximation
* Quadrature and cubature
* Multiresolution analysis
* Subdivision schemes
* Refinability
* Structured matrices
* Applications of the above topics in scientific computing and related fields
While the Special Issue welcomes contributions from participants of OPERA
2026, submissions are also open to the broader research community working in
these areas.
== Guest Editors ==
Mariantonia Cotronei, Università Mediterranea di Reggio Calabria, Italy
Wen-shin Lee, University of Stirling, UK
== Submission Guidelines ==
Submission deadline: 31 December 2026
Manuscripts should be submitted online through the Numerical Algorithms
submission system: https://link.springer.com/collections/gddhajjcga
To ensure your submission is correctly identified for this Special Issue, please
select "OPERA" for "Collection (optional)" during the online submission
procedure under "Details".
The review process will follow the standard procedures of Numerical
Algorithms. Papers will be reviewed on a rolling basis, meaning that
submissions will be processed as soon as they are received, without waiting
until the submission deadline.
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End of Digest
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