Today's Editor:
David S. Bindel
Cornell University
bindel@cornell.edu
Today's Topics:
New Book: Explorations in Numerical Analysis and Machine Learning with Julia
Reminder: MFEM Community Workshop (Sept. 10-11, 2025, Portland, OR)
International Workshop on Algorithmic Optimization, Trier University
Conference on Numerical Analysis and Optimization, Oman, Jan 2026
Call for site pre-proposals, ISMP 2030
Postdoc position available in stellarator optimization, Columbia University, USA
Postdoc position in Numerical Mathematics at University of Twente, Netherlands
Postdoc position in Implementation and application of Cellular Neural Networks, Brazil
Postdoc Fellowship Position in Artificial Intelligence, Brazil
Contents, AIMS New Articles: ACSE, CAC, JMD
See this issue of NA Digest on the web at:
https://na-digest.coecis.cornell.edu/na-digest-html/25/v25n33.html
Submissions, FAQs, and archives:
https://na-digest.coecis.cornell.edu/
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From: James V. Lambers James.Lambers@usm.edu
Date: August 11, 2025
Subject: New Book: Explorations in Numerical Analysis and Machine Learning with Julia
Explorations in Numerical Analysis and Machine Learning with Julia
by James V. Lambers, Amber Sumner Mooney, Vivian A. Montiforte and
James Quinlan
World Scientific, Singapore, 2025. xvi+868 pp.
ISBN: 978-981-98-1802-0 (hardcover), 978-981-98-1948-5 (paperback)
The textbook is an expansion of Explorations in Numerical Analysis
that includes new chapters covering topics from machine learning. It
is intended for advanced undergraduate and early graduate students,
with a focus on the connections between numerical analysis and machine
learning.
Topics covered include computer arithmetic, error analysis, solution
of system of linear equations by direct and iterative methods, least
squares problems, eigenvalue problems, nonlinear equations,
optimization, polynomial interpolation and approximation, numerical
differentiation and integration, ordinary differential equations,
partial differential equations, machine learning, classification,
regression, and neural networks.
Each problem is presented with derivations of solution techniques,
analysis of their efficiency, accuracy and robustness, and detailed
implementation using the Julia programming language. This book is
suitable for a year-long course in numerical analysis, or for a
one-semester course in numerical linear algebra (Part II) or machine
learning (Part VI).
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From: Will Pazner pazner@pdx.edu
Date: August 13, 2025
Subject: Reminder: MFEM Community Workshop (Sept. 10-11, 2025, Portland, OR)
Dear colleagues,
We would like to remind you about the fifth annual MFEM Community
Workshop, taking place in hybrid format on September 10-11, 2025 at
Portland State University in Portland, OR and online via Zoom. The
workshop webpage is https://mfem.org/workshop/
The registration deadline is Wednesday, August 27. The registration
form is available at https://forms.gle/r39w56Lj3d2RZRbF8
There is no registration fee for students, and we have funds to
reimburse student travel expenses. We are also soliciting 10-minute
student lightning talks.
Please email any questions to mfem@llnl.gov. We hope you can join us
for our fifth year!
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From: Martin Schmidt martin.schmidt@uni-trier.de
Date: August 11, 2025
Subject: International Workshop on Algorithmic Optimization, Trier University
Dear friends and colleagues,
as we already announced it a few weeks ago, the research training
group Algorithmic Optimization (ALOP) at Trier University is in its
ninth and final year and we are excited to host our last international
workshop on algorithmic optimization under the roof of ALOP. After
seven successful international workshops and eight autumn schools,
this event marks a special opportunity to bring together researchers
from across the field and to offer perspectives on its future
evolution.
The workshop will feature a dynamic program, including invited plenary
talks, contributed talks, an engaging session with elevator pitches,
and a lively poster session. Covering the full spectrum of algorithmic
optimization, the topics will range from mixed-integer programming to
optimization with differential equations, from applications in the
energy sector to advancements in machine learning and data science, as
well as from foundational theory to cutting-edge algorithmic
developments.
The list of invited speakers reads as follows:
- Carina Costa (State University of Maringá)
- Matthias Heinkenschloss (Rice University)
- Michael Hintermüller (WIAS Berlin)
- Martine Labbé (Université Libre de Bruxelles)
- Marina Leal (Univeritas Miguel Hernández)
- Marianna de Santis (Universitá degli Studi di Firenze)
- Johannes Thürauf (University of Technology Nuremberg)
- Kathrin Welker (Helmut Schmidt University)
The workshop dates are September 23 (9:00) to September 26 (17:00),
2025.
All relevant information and the registration form can be found at
https://alop.uni-trier.de/event/international-workshop-on-algorithmic-
optimization/.
We extended the deadline a final time and will now close it on Friday,
August 15!
We hope to see as many of you as possible in September in Trier. If
you have any further questions regarding the workshop, please do not
hesitate to ask us.
With kind regards,
Martin Schmidt and Volker Schulz - on behalf of the entire ALOP team
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From: Mehi Al-Baali albaali@squ.edu.om
Date: August 13, 2025
Subject: Conference on Numerical Analysis and Optimization, Oman, Jan 2026
It is our pleasure to announce the 6th Triennial Conference on
Numerical Analysis and Optimization (NAOVI-2026). It is a series
organized every three years and will take place at Sultan Qaboos
University, Muscat, Oman, from 5-8 January 2026.
REGISTRATION and ABSTRACT SUBMISSION:
Registration is required for all those wishing to attend the
conference (available places, particularly for those outside Oman, are
limited). If a participant wishes to contribute a talk for 20 minutes,
an abstract should be submitted either online via the website
https://conferences.squ.edu.om/nao2026/Registration
or by email to nao2026@squ.edu.om.
Abstract Submission Deadline: November 10, 2025.
Registration Deadline: December 10, 2025.
CONFIRMED INVITED SPEAKERS:
Adil M. Bagirov, Federation University, Australia
David M. Gay, AMPL Optimization, Inc., USA
Serge Gratton, Toulouse-INP/IRIT, France.
Michael Hintermuller, Humboldt-Universitat zu Berlin, Germany
Nezam Mahdavi-Amiri, Sharif University of Technology, Iran
Dominique Orban, Ecole Polytechnique de Montreal, Canada
Laura Palagi, Sapienza-Rome University, Italy
Amiya Kumar Pani, Indian Institute of Technology Bombay, India
Veronica Piccialli, Sapienza-Rome University, Italy
Janos D. Pinter, Rutgers University, USA
Cornelis Roos, Delft University of Technology, The Netherlands
Jesús María Sanz-Serna, Universidad Carlos III de Madrid, Spain
Michael Saunders, Stanford University, USA
Philippe L. Toint, University of Namur, Belgium
Maria Teresa Vespucci, University of Bergamo, Italy
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From: Jeff Linderoth linderoth@wisc.edu
Date: August 13, 2025
Subject: Call for site pre-proposals, ISMP 2030
The Conference Committee of the Mathematical Optimization Society
issues a call for pre-proposals to organize and host ISMP 2030, the
27th triennial International Symposium on Mathematical Programming.
According to tradition, we are particularly seeking a host outside of
Europe for ISMP 2030
ISMP is the flagship event of the society, regularly gathering over a
thousand scientists from around the world. The conference will be
held in or around the month of August, 2030. Hosting ISMP provides a
vital service to the mathematical optimization community and often has
a lasting effect on the visibility of the hosting institution. It
also presents a significant challenge. This call for pre-proposals is
addressed at local groups willing to take up that challenge.
Preliminary bids will be examined by the Conference Committee, which
will then issue invitations for detailed bids. The final decision
will be made and announced during ISMP 2027 in Amsterdam.
Members of the MOS Conference Committee are
Jeff Linderoth, Chair
Karen Aardal,
Aleksandr Kazachkov,
Defeng Sun,
Wolfram Wiesemann,
Katya Scheinberg, ex-officio
Preliminary bids should be brief and contain information pertaining to
the
1) Location,
2) Facilities,
3) Logistics: Accommodation and transportation, and
4) Likely local organizers.
Further information can be obtained from any member of the advisory
committee. Please address your preliminary bids until November 15,
2025 to Jeff Linderoth.
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From: Elizabeth Paul ejp2170@columbia.edu
Date: August 08, 2025
Subject: Postdoc position available in stellarator optimization, Columbia University, USA
The Stellarator Theory Group in the Department of Applied Physics and
Applied Mathematics at Columbia University is seeking a Postdoctoral
Research Scientist. This scientist will use single-stage optimization
techniques to design a flexible dipole array capable of supporting
multiple stellarator equilibria for a future university-scale hybrid
experiment. The work scope will include the development and execution
of numerical optimization software to determine the optimal
arrangement of magnets subject to engineering constraints. Software
will be developed that incorporates stability and omnigeneity
constraints, and a confinement assessment will be performed for the
resulting set of optimized equilibria. The scientist is expected to
aid in the supervision of graduate and undergraduate students within
the Stellarator Theory Group. A Ph.D. in physics, applied mathematics,
or a related discipline is required. Expertise in scientific
computing and HPC is desirable.
The start date is flexible, but suggested to be in Fall 2025 or Spring
2026. Funding is anticipated for a two year appointment. For more
information, please contact Elizabeth Paul
(ejp2170@columbia.edu). Please fill out this form to indicate your
interest in the position:
https://docs.google.com/forms/d/e/1FAIpQLSc0nrBpu2DDZehZkQosiGv9vC_DQU843jXEZMvMTkDyNeGIuw/viewform
Further information can be viewed on the group website:
https://paulgroup.apam.columbia.edu/news/postdoc-position-available-stellarator-optimization-0
Salary and rank will be commensurate with experience. Postdoctoral
Research Scientists are eligible for Columbia housing benefits.
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From: Silke Glas s.m.glas@utwente.nl
Date: August 14, 2025
Subject: Postdoc position in Numerical Mathematics at University of Twente, Netherlands
Applications are invited for an 18-month postdoc position in the group
of Assistant Professor Dr. Silke Glas in the Department of Applied
Mathematics at the University of Twente, the Netherlands.
The postdoc position is embedded into a large-scale effort between
academic groups in the Netherlands and industrial partners to reduce
CO2 emissions in steel production using machine
learning. Particularly, the focus of this postdoc position will be to
work on a theoretical and applied project on data-enhanced physical
reduced order models. Prior experience on model reduction methods is
advantageous but not required.
More information on this position and on how to apply can be found here:
https://utwentecareers.nl/en/vacancies/2194/postdoc-position-on-data-enhanced-physical-reduced-order-models/
Applications received prior to September 9, 2025, will receive full
consideration, but applications will be accepted until the position is
filled. For any questions, please contact Dr. Silke Glas
(s.m.glas@utwente.nl) directly.
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From: Alexandre Delbem acbd@icmc.usp.br
Date: August 11, 2025
Subject: Postdoc position in Implementation and application of Cellular Neural Networks, Brazil
Twelve-month postdoctoral fellowship focused on Cellular Neural Networks, their interdisciplinary applications, and their implementation in conventional and emerging computational architectures. The research project is situated in the context of developing and applying cellular neural network models in various domains, such as climate and health. The research will involve theoretical and practical investigation of computational architectures for implementing the networks, including approaches based on classical and quantum computing. Candidates must have completed a Ph.D. in Computer Science within the last 7 years. Selection criteria will include demonstrated research capability in the topics of this call. To apply, send by email (PDF files only) the following items to Professor Alexandre Delbem at acbd@icmc.usp.br, by 07/2025: 1. Letter of interest, including full contact information, year of graduation, concisely addressing the research emphases and criteria mentioned above; 2. Curriculum vitae; 3. Cover letter including names and contact information of 3 references. Indicate "CEPID Postdoc Cellular Neural Networks" in the subject line of the message.
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From: Reference Center for Artificial Intelligence (CEREIA) diretoria.cria@ufc.br
Date: August 14, 2025
Subject: Postdoc Fellowship Position in Artificial Intelligence, Brazil
The Reference Center for Artificial Intelligence (CEREIA), based at
the Federal University of Ceará (UFC), is offering a postdoctoral
fellowship in Artificial Intelligence to work at the Federal
University of Piauí (UFPI).
This program offers an exciting opportunity for early-career
researchers to advance their academic and research careers in the
dynamic field of AI. CEREIA is committed to promoting excellence in AI
research, with specific focus on addressing healthcare-related
problems and challenges. CEREIA conducts several projects, including
prediction of chronic diseases; engagement of patients in health
promotion and chronic disease prevention programs; intelligent systems
for remote patient monitoring; analysis and processing of medical
images; medical history assisted by artificial intelligence; and
others.
The position is a two-years contract funded by the São Paulo Research
Foundation (FAPESP). In general, fellowship recipients collaborate in
research under the supervision of one or more Center’s members for two
years. The fellowship may be extended for an additional year,
depending on performance and availability of funds.
Applications are due September 2nd, 2025 (late submissions will not be
considered).
Please see the Announcement for more information:
https://cria.ufc.br/en/2025/08/13/international-public-selection-for-postdoctoral-fellowship-in-ai-2-2/
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From: Charley Denton cdenton@aimsciences.org
Date: August 14, 2025
Subject: Contents, AIMS New Articles: ACSE, CAC, JMD
Advances in Computational Science and Engineering
Volume: 5, Article: 2
2025
https://www.aimsciences.org/ACSE/article/2025/5/0
Reduced order models for fluid flows at various Mach number solved
using discontinuous Galerkin method
Andrea Lario and Gianluigi Rozza
Communications on Analysis and Computation
Volume: 5, Article: 4
2025
https://www.aimsciences.org/CAC/article/2025/5/0
Recent progress in Carleman estimates for mean field games
Jingzhi Li and Tian Niu
Communications on Analysis and Computation
Volume: 6, Article: 3
2025
https://www.aimsciences.org/CAC/article/2025/6/0
The bounds of the mixed derivatives of the least eigenvalue and
eigenfunction of the eigenvalue problem with stochastic density
function
Zhijun Chen, Zhengfang Zhang, Ziyi Deng, Xianfei Zhang and Weifeng
Chen
Journal of Modern Dynamics
Volume: 21, Article: 10
2025
https://www.aimsciences.org/jmd/article/2025/21/0
Hofer energy and link preserving diffeomorphisms in higher genus
Francesco Morabito and Ibrahim Trifa
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End of Digest
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