Today's Editor:
David S. Bindel
Cornell University
bindel@cornell.edu
Today's Topics:
Altay Conference Proceedings in Mathematics
New Release of MOLE (v1.1.0)
New Book, Modeling, Analysis, Monitoring, and Control of Distributed Parameter Systems: The Tubular Reactor Case Study
ANZIAM 2026 Conference, February 2026
5th NUMTA conference (hybrid format) - June 2026, Calabria (Italy)
Future Optimization Graduate Student Workshop, Lehigh Univ., Aug. 17, 2026
Assistant Professor Position, Computer Science, Queens College, CUNY
Postdoc position at the University of Edinburgh
Research Software Engineer Assistant in HPC
Contents, Journal of Machine Learning for Modeling and Computing, 6 (4)
See this issue of NA Digest on the web at:
https://na-digest.coecis.cornell.edu/na-digest-html/25/v25n39.html
Submissions, FAQs, and archives:
https://na-digest.coecis.cornell.edu/
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From: Tuncer Acar tunceracar@ymail.com
Date: September 20, 2025
Subject: Altay Conference Proceedings in Mathematics
Dear Colleagues,
I am glad to introduce the ALTAY Conference Proceedings in Mathematics
(ALTAY Conf. Proc. Math.), an open access, peer-reviewed platform
dedicated to publishing selected works presented at mathematical
conferences (link).
Key Details:
Publication Frequency: Quarterly (March, June, September, December).
Access & Fees: Fully open access and free of charge for authors.
Scope: All areas of mathematical sciences, including numerical
analysis.
Recent Activities:
Volume I Issue I: 3rd International Conference: Constructive
Mathematical Analysis (ICCMA 2025). link
Volume I Issue II: International Workshop on Modern Problems of
Analysis, Optimization, Approximation and Their Applications
(IWMPAOATA 2025). link
ALTAY Conference Proceedings provides a rapid and visible channel for
disseminating new results from conferences and workshops, especially
those related to numerical methods and applications.
We invite you to follow upcoming calls and consider submitting your
conference-based numerical analysis research.
Sincerely,
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From: Jose E. Castillo jcastillo@sdsu.edu
Date: September 22, 2025
Subject: New Release of MOLE (v1.1.0)
MOLE is an open-source library that implements high-order mimetic
operators. It provides discrete analogs of the most common vector
calculus operators: divergence, gradient, curl, and Laplacian. These
operators act on functions discretized over staggered grids (uniform,
nonuniform, and curvilinear), and they satisfy local and global
conservation laws. MOLE's operators can be used to develop code for
solving partial differential equations (PDEs). MOLE Webpage is Live:
https://lnkd.in/gTVUM53Y
And the archival copy of the MOLE User Manual is published on Zenodo:
https://lnkd.in/g37QEmim
The MOLE community always welcomes users and collaborators.
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From: Mitchell Graham mgraham@siam.org
Date: September 23, 2025
Subject: New Book, Modeling, Analysis, Monitoring, and Control of Distributed Parameter Systems: The Tubular Reactor Case Study
Modeling, Analysis, Monitoring, and Control of Distributed Parameter
Systems: The Tubular Reactor Case Study by Denis Dochain
This book compiles key findings on the modeling, analysis, estimation,
and control design of various tubular reactor configurations. It
explores both linear and nonlinear hyperbolic and parabolic partial
differential equations, bridging the gap between theory and
application in distributed parameter systems.
The tubular reactor offers several important advantages when teaching
and studying distributed parameter systems: it covers multiple classes
of partial differential equations, providing a broad mathematical
foundation; it bridges finite- and infinite-dimensional models; it
demonstrates diverse behaviors; and it links theoretical concepts to
practical applications. Furthermore, the tubular reactor has a broad
scope of application in biological, environmental, and chemical
systems.
September 23, 2025 / xvi + 305 pages / Softcover / 978-1-61197-846-9 /
List $84.00 / SIAM Member $58.80 / DC44
Bookstore link:
https://epubs.siam.org/doi/10.1137/1.9781611978476
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From: Linda Stals linda.stals@anu.edu.au
Date: September 26, 2025
Subject: ANZIAM 2026 Conference, February 2026
Venue: Canberra Rex Hotel, Canberra, Australia
Website: https://bit.ly/anziam2026
Details: The scientific programme for the annual Australia and New Zealand Industrial and Applied Mathematics (ANZIAM) Conference will include eight plenary lectures and talks on all areas of applied mathematics. The conference will also feature a student social event, a Women in Mathematics (WIMSIG) Lunch, an LGBTQIA+ & Allies Lunch, and a formal conference dinner. An Early Career Researcher Workshop will be held on Saturday, 7 February, and Sunday, 8 February, preceding the conference.
The Mathematical Biology Special Interest Group (MBSIG), Optimisation Special Interest Group (SigmaOpt), and Engineering Mathematics Group (EMG) Workshops will take place on Friday, 13 February, following the conference. All workshops will be held at the Mathematical Sciences Institute, Australian National University.
Registration is now open. Early-bird registration is from now until Tuesday, 9 December. Standard registration closes Saturday, 1 February.
Yours sincerely,
On behalf of the Local Organising Committee for ANZIAM 2026
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From: Dmitri E. Kvasov kvadim@dimes.unical.it
Date: September 26, 2025
Subject: 5th NUMTA conference (hybrid format) - June 2026, Calabria (Italy)
The 5th International Triennial Conference and Summer School
"Numerical Computations: Theory and Algorithms" (NUMTA2026) will be
held (in hybrid format) from 21 to 27 June 2026 in Calabria, Italy, at
the all-inclusive beach resort "Falkensteiner Garden Calabria" on the
Tyrrhenian coast and close to the Lamezia Terme international airport.
The Conference is organized by the DIMES, University of
Calabria. Together with regular presentations at the Conference there
will be the Summer School offering tutorials and discussion sections
covering the topics of the Conference. This is the fifth edition of
NUMTA (since 2013); more than 200 researchers from 30 countries around
the world attended each of the two last NUMTA conferences.
Main topics: Numerical analysis, computational models, optimization
and machine learning, and emerging computational paradigms, see
complete list of topics at https://www.numta.org/topics
Confirmed plenary lectures (to be completed): Louis D'Alotto (New
York, USA), Schahram Dustdar (Vienna, Austria), Daniel Krob (Paris,
France), Daniel Kuhn (Lausanne, Switzerland), Yurii Nesterov
(Budapest, Hungary), Panos Pardalos (Gainesville, USA), Davide Rizza
(Norwich, UK).
Information is continuously updated on the conference website
https://www.numta.org
where details of the four previous editions (2023, 2019, 2016 and
2013) of the conference are available.
We look forward to meeting you in the beautiful Calabria, Italy!
Yaroslav D. Sergeyev, NUMTA2026 PC Chair
Dmitri E. Kvasov, NUMTA2026 OC Chair
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From: Luis Nunes Vicente lnv@lehigh.edu
Date: September 19, 2025
Subject: Future Optimization Graduate Student Workshop, Lehigh Univ., Aug. 17, 2026
Future Optimization Graduate Student Workshop (GradOpt), Lehigh University, August 17, 2026
For students considering a PhD and curious about research in
optimization, Lehigh ISE offers a Future Optimization Graduate Student
Workshop (GradOpt), a one-day workshop designed for undergraduate and
master’s students within 1–2 years of applying to a PhD program. This
event will introduce the students to the exciting field of
optimization and its impact across science, engineering, finance, and
AI. GradOpt is open to students from a wide range of academic
backgrounds including engineering, mathematics, computer science,
statistics, physics, and related fields. Lehigh ISE will cover the
travel and lodging expenses of a selected cohort of motivated
students.
Apply to participate in GradOpt: https://coral.ise.lehigh.edu/lios/GradOpt
Participants will engage directly with Lehigh ISE faculty, staff, and
current PhD students through presentations, panel discussions, and
informal mixers. They will gain valuable insights into research
opportunities, the PhD application process, funding options, and life
as a graduate student. The workshop also highlights career pathways
available to PhD optimization graduates both in academia and industry.
As part of the new Lehigh ISE Optimization Science (LIOS) Program,
students will also have the opportunity to attend the MOPTA 2026
Conference, held August 18–20 on Lehigh's campus. GradOpt will shape
the next generation of optimization scholars!
GradOpt organizers,
Zahra Khatti
Luis Nunes Vicente
https://coral.ise.lehigh.edu/lios/GradOpt
Department of Industrial and Systems Engineering
Lehigh University
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From: Tim Mitchell tmitchell@qc.cuny.edu
Date: September 22, 2025
Subject: Assistant Professor Position, Computer Science, Queens College, CUNY
The Department of Computer Science at Queens College, City University
of New York invites applications for a full-time, tenure-track
Assistant Professor position, with appointment to begin in Fall 2026.
Responsibilities of the position include, but are not limited to:
establishing a record of research and scholarship as evidenced by
peer-reviewed publications, conference presentations, and funded
research; teaching a variety of computer science courses; and sharing
responsibility for departmental committee assignments.
As an urban liberal arts college that emphasizes both research and
teaching, Queens College has earned high rankings in prestigious
college lists such as Forbes' America's Best Value Colleges and
serves as an engine of social mobility for New York City’s highly
diverse and global population. The Computer Science Department serves
over 2,500 undergraduate majors and 70 master's degree students, with
faculty actively participating in the Computer Science Ph.D. program
based at the CUNY Graduate Center.
QUALIFICATIONS
Ph.D. degree in area(s) of experience or equivalent.
COMPENSATION
The Assistant Professor salary range as of 09/01/25 is
$102,017-$109,025.
HOW TO APPLY
For application instructions and to apply, visit
https://tinyurl.com/QC-CS-ASSTPROF
The position will be open until filled, with review beginning
09/28/2025.
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From: Des Higham d.j.higham@ed.ac.uk
Date: September 24, 2025
Subject: Postdoc position at the University of Edinburgh
This position is part of the project "Numerical Analysis for Stable
AI” funded by a European Research Council Advanced Grant, led by
Prof. Des Higham. The successful applicant will conduct research on
algorithms in Artificial Intelligence (AI) from the perspective of
numerical analysis and computational mathematics. The overarching aim
of the project is to develop new mathematical theory and tools to
identify, quantify and, where possible, mitigate the empirically
observed vulnerabilities in current AI systems.
The position will last for 36 months (with possible extension to 48
months).
The closing date for applications: 15th October 2025.
Full details are available at
https://elxw.fa.em3.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1001/job/13144
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From: Tobias Weinzierl tobias.weinzierl@durham.ac.uk
Date: September 23, 2025
Subject: Research Software Engineer Assistant in HPC
Durham University's Advanced Research Computing directorate are
recruiting a Research Software Engineer Assistant to work within the
Skills Hub for Accelerated Research Environments Inspiring the Next
Generation (SHAREing – https://shareing-dri.github.io).
You will be embedded into the SHAREing project team, working closely
with the PI and other project members, the platforms team within ARC
and realise synergies with related activity within Durham and
nationally. We expect the successful candidate to develop specialist
knowledge and expertise across several advanced computing technologies
core to the deliverables that are part of the grant and services
delivered by ARC longer-term. The post will be embedded on this grant
led by P.I. Tobias Weinzierl as Director of Institute of Data Science
and academic in Computing Science, and will sit within ARC's Research
Software Engineering function led by Samantha Finnigan.
Apply here:
https://durham.taleo.net/careersection/du_ext/jobdetail.ftl?job=25001274
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From: Brandon T. Bisceglia brandon@begellhouse.com
Date: September 24, 2025
Subject: Contents, Journal of Machine Learning for Modeling and Computing, 6 (4)
Contents for the Journal of Machine Learning for Modeling and
Computing, Vol. 6, Issue 4, 2025:
https://www.dl.begellhouse.com/journals/558048804a15188a,1c7e14936ceba523.html
Conditional Pseudo-Reversible Normalizing Flow for Surrogate Modeling
in Quantifying Uncertainty Propagation, M. Yang, P. Wang, M. Fan,
D. Lu, Y. Cao, & G. Zhang
Dimension-Reduced Reconstruction Map Learning for Parameter Estimation
in Likelihood-Free Inference Problems, R. Zhang, O. Chkrebtii, &
D. Xiu
Sparse L1-Autoencoders for Scientific Data Compression, M. Chung,
R. Archibald, P. Atzberger, & J.M. Solomon
Numerical Splitting Schemes as the Cornerstone for Mini-Batch
Optimization: On the Importance of Well-Balanced Methods, B. Bensaid,
G. Poëtte, & R. Turpault
Federated Learning on Stochastic Neural Networks, J. Tang,
R. Bausback, F. Bao, & R. Archibald
Index, Volume 6, 2025
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End of Digest
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