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NA Digest Friday, February 20, 2026 Volume 26 : Issue 8

Today's Editor:

  Alex Townsend
  Cornell University
  townsend@cornell.edu

Today's Topics:

Beresford Parlett
New book, Numerische Mathematik (Numerical Mathematics)
New Book, Scientific Computing in Modern C++ by Victor Eijkhout
Call for Minisymposia – Wave-Ned 2026 | New Deadline: March 16, 2026
Call for abstracts (deadline March 1): C3SE-2026, Montréal, May 19-22, 2026
OPERA Conference, 22-26 June 2026, Stirling, Scotland, UK
5th IMA Conference on Inverse Problems from Theory to Application, 8-10 September 2026
New Conference, 39th Chemnitz Finite Element Symposium, 7-9 September 2026
PhD Fellowship in Computational Mathematics/Scientific Computing at Simula Research Lab, Norway
PhD Position, Data Science and Knowledge Discovery, SimulaMet, Oslo, Norway
PhD Position in Optimization and Optimal Transport, University of Twente
PhD Research Fellowship at the University of Oslo
Postdoctoral position at University of Sydney
Assistant Professor in Mathematics/Information Technology, Uppsala University
Contents, AIMS New Volume: CPAA Vol. 28
Contents, AIMS New Volume: EECT Vol. 19
Contents, AIMS New Article: FMF Vol. 8, Art. 2
Contents, AIMS New Article: JMD Vol. 22, Art. 1
Contents, AIMS New Article: MFC Vol. 12, Art. 1
Contents, AIMS New Volume: MFC Vol. 11

See this issue of NA Digest on the web at:
  https://na-digest.coecis.cornell.edu/na-digest-html/26/v26n8.html

Submissions, FAQs, and archives:
  https://na-digest.coecis.cornell.edu/

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From: Joseph Grcar jfgrcar@gmail.com
Date: February 13, 2026
Subject: Beresford Parlett

Emeritus Professor Beresford Parlett of the University of California at Berkeley
passed on February 7, 2026. He graduated from Oxford University and briefly
worked in his father's lumber import firm before undertaking graduate studies
at Stanford University under George Forsythe. His first and only employment
was at Cal where he began in the nascent computer science department(s).
Beresford was the personal link to the historical development of eigenvalue
calculations. Although he will always be remembered for his book entitled The
Symmetric Eigenvalue Problem, Beresford teased that it started as the
unsymmetric problem, but that manuscript was unfortunately lost in the
Oakland-Berkeley fire. He was a lively conversationalist who loved hiking in the
California outdoors.

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From: Martin Hermann martin.hermann@uni-jena.de
Date: February 16, 2026
Subject: New book, Numerische Mathematik (Numerical Mathematics)

At the beginning of this year, the fifth (German-language) edition of my two-
volume textbook on numerical mathematics was published by Walter de
Gruyter, Berlin/Boston. In both volumes, the majority of numerical methods are
implemented as m-files for MATLAB. The software can be downloaded from the
publisher's website.
1) Numerical Mathematics, Volume 1 (ISBN 978-3-11-220545-7): Systems of
linear equations, eigenvalue problems, nonlinear equations, in German,
2) Numerical Mathematics, Volume 2 (ISBN 978-3-11-220555-6): Polynomial
approximation, least squares problems, numerical differentiation and
integration, initial and boundary value problems, in German.

Prof. Dr. Martin Hermann
Friedrich-Schiller University at Jena
Mathematical Institute
Email: martin.hermann@uni-jena.de

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From: Mitchell Graham mgraham@siam.org
Date: February 13, 2026
Subject: New Book, Scientific Computing in Modern C++ by Victor Eijkhout

Scientific Computing in Modern C++ by Victor Eijkhout

If you are an aspiring computer programmer with a basic knowledge of C++ and
want to deepen your understanding of the language, specifically for use in
scientific computing, this unique book is for you. It is the only book to discuss
modern C++ from a scientific computing perspective, covering a wide range of
topics, including the finer points of C++, specific idioms of C++ in scientific
computing, parallelism, considerations of hardware and performance, and
“carpentry” topics, such as CMake, that extend beyond basic programming to
make you a more productive programmer.

This book focuses on computing “idioms” and applications—rather than a
complete treatment of the C++ language—as well as peripheral “carpentry”
topics, and is designed to take students to a level where they can be
productive in a scientific programming project. The C++ topics discussed are
chosen for their relevance to computing, and other topics are purposely
excluded. Additionally, several topics relevant to scientific computing are
included that are not intimately tied to C++ as a language.

February 2026 / xii + 466 pages / Softcover / 978-1-61197-860-5 / List $89.00 /
SIAM Member $62.30 / SE33

Bookstore link:
https://epubs.siam.org/doi/10.1137/1.9781611978612

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From: Vanja Nikolić vanja.nikolic@ru.nl
Date: February 20, 2026
Subject: Call for Minisymposia – Wave-Ned 2026 | New Deadline: March 16, 2026

Dear colleagues,

The deadline for minisymposia proposals for the
WAVE-NED Conference on Analysis, Modeling and Numerics of Waves has
been extended to March 16, 2026.

The WAVE-NED conference will take
place at TU Delft (The Netherlands) from August 26–28, 2026.
Further details on registration, deadlines, and the scientific
program can be found on the conference website (https://
www.tudelft.nl/evenementen/2026/ewi/diam/wave-ned).

This
conference aims 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.

Besides minisymposia, the
program will feature 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)

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: Serge Prudhomme serge.prudhomme@polymtl.ca
Date: February 17, 2026
Subject: Call for abstracts (deadline March 1): C3SE-2026, Montréal, May 19-22, 2026

The 1st Canadian Congress on Computational Sciences and Engineering
(C3SE-2026, https://www.cacse-accsg.ca/c3se) will be held May 19–22, 2026,
in Montréal, Canada. Organized by the Canadian Association for Computational
Science and Engineering (CACSE/ACCSG, https://www.cacse-accsg.ca), the
Congress will bring together experts from all fields of science and engineering
to exchange ideas, share results, discuss fundamental principles and emerging
trends, and build collaborations that strengthen the Computational Science and
Engineering (CSE) community. International participants are more than
welcomed to join this first edition of the Congress.

C3SE-2026 welcomes contributions in Computational Sciences and
Engineering, including (but not limited to):

Numerical Methods and Algorithms
Advanced Discretization Techniques
Scientific and High-Performance Computing
Artificial Intelligence, Data Science, and Scientific Machine Learning
Computational Fluid Dynamics
Quantum and Emerging Computing Paradigms
Verification, Validation, Uncertainty Quantification, and Visualization
Digital Twins & Sustainability
Computational Design and Sustainability
Applications in all areas of Science and Engineering: Solid and Structural
Mechanics, Fluid Dynamics, Electromagnetics, Physics, Chemistry, Biology, etc.

The program will feature plenary and semi-plenary lectures, technical sessions,
and short courses, as well as student activities and strong networking
opportunities across academia, government, and industry.
The deadline to submit an abstract has been extended to March 1, 2026.
https://www.cacse-accsg.ca/submission

We look forward to receiving your abstract and seeing you in Montréal.

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From: Wen-shin Lee wen-shin.lee@stir.ac.uk
Date: February 17, 2026
Subject: OPERA Conference, 22-26 June 2026, Stirling, Scotland, UK

OPERA 2026: Orthogonal Polynomials, Exponential Analysis, Rational
Approximation, with Applications
22-26 June 2026 | University of Stirling, Scotland, UK
https://opera2026.uk/

We are pleased to announce OPERA 2026, an international conference bringing
together researchers in mathematics, computational science, and related fields
to explore the interconnected themes of orthogonal polynomials, exponential
analysis, and rational approximation, along with related topics such as
integration, multiresolution analysis, subdivision and refinability, structured
matrices, as well as sparse interpolation in computer algebra.

OPERA 2026 will also highlight how advances in these areas are driving
progress in image and signal processing, as well as in a wide range of diverse
scientific and engineering applications, including, but not limited to, antenna
design, vibration analysis, magnetic resonance relaxometry, financial time
series analysis, and biomedical signal processing.

=== CONFIRMED PLENARY SPEAKERS ===

Bernhard Beckermann, University of Lille, France
Stefano De Marchi, University of Padua, Italy
Stefan Güttel, University of Manchester, UK
Miguel Piñar, University of Granada, Spain
Gerlind Plonka-Hoch, University of Göttingen, Germany

=== CALL FOR PRESENTATIONS ===

Abstracts for contributed talks and posters may be submitted via the
conference website. Acceptance is on a rolling basis, so early submission is
encouraged.

A special issue with the journal Numerical Algorithms (Springer) is planned in
connection with the conference.

=== IMPORTANT DATES ===

Abstract submission deadline: 1 May 2026
Notification of acceptance: 10 May 2026
Accommodation deadline: 10 May 2026
Registration deadline: 1 June 2026

=== ACCOMMODATION ===

A limited number of on-campus rooms are available at a reduced rate until 10
May 2026. Details are provided on the conference website.

-------------------------------------------------------

From: Martin Benning martin.benning@ucl.ac.uk
Date: February 16, 2026
Subject: 5th IMA Conference on Inverse Problems from Theory to Application, 8-10 September 2026

8 –10 September 2026,
Woburn House, Tavistock Square, London WC1H 9HQ

https://ima.org.uk/28046/5th-ima-conference-on-inverse-problems-from-
theory-to-application/

Inverse problems remain at the heart of scientific discovery and technological
innovation, spanning fields as diverse as medical and satellite imaging, biology,
astronomy, geophysics, environmental sciences, computer vision, energy,
finance, and defence. Fundamentally, these problems involve using a
mathematical or physical model "backwards" to infer a quantity of interest from
the observed effects it produces.
A main challenge resulting from using models "backwards" is that solutions are
often not well posed, i.e., not unique or unstable with respect to small
perturbations in the data. This difficulty continues to stimulate research and
innovation at the interface of applied mathematics, statistics, engineering, and
physics, leading to social and economic benefit through impact on science,
medicine, and engineering.
The aim of this conference is to bring together mathematicians, statisticians,
and computer scientists working on the theoretical and numerical aspects of
inverse problems, alongside engineers and physicists, tackling challenging
applications. We will discuss recent developments and open challenges in
theory, methodology, and computational algorithms.

Joint Event: Big Data Day
This year, the conference features a dedicated Big Data Day, held in
conjunction with the IMA Conference on the Mathematical Challenges of Big
Data.
This joint session reflects the growing intersection between classical model-
based theory and modern data-driven approaches. With the rise of deep
learning, generative models, and neural operators, the boundary between
Inverse Problems and Data Science has become increasingly blurred. This day
will explore the synergy between these fields, examining how techniques from
network science, information theory, and large-scale optimisation can be
leveraged to address ill-posedness, and conversely, how inverse problem
theory can inform the foundations of data science.
We welcome industrial representatives, doctoral students, early career
researchers, and established academics to attend and contribute.
Topics of Interest
• Machine Learning & Data-Driven Methods: Deep learning for inverse
problems, learned regularisation, neural operators, unrolled networks.
• Big Data, Statistics & Optimisation: Large-scale inverse problems, Bayesian
inference, uncertainty quantification, data assimilation, stochastic algorithms.
• Mathematical Theory: Analysis of inverse problems, stability, uniqueness,
and regularisation theory.
• Imaging & Applications: Mathematical and computational imaging,
tomography, and wider applications in science, medicine, and engineering.


Call for Papers and Posters
Please submit your 300 word abstract via https://my.ima.org.uk/ by 31 May
2026. Abstracts should be submitted as a Word document. If you are an IMA
Member or you have previously registered for an IMA conference, then you are
already on our database. Please “request a new password” using the email
address previously used, to log in.

Conference Fees
Includes entry to the conference as well as refreshments and lunches.
Full 3 day Conference Fee - Member- £375.00
Full 3 day Conference Fee - Non-Member - £500.00
Full 3 day Conference Fee - Student Member - £230.00
Full 3 day Conference Fee - Student Non Member - £270.00
Conference dinner details and pricing will be announced soon.

Please register for the conference via:
https://my.ima.org.uk/

Please email conferences@ima.org.uk for further information.

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From: Max Winkler max.winkler@math.tu-chemnitz.de
Date: February 20, 2026
Subject: New Conference, 39th Chemnitz Finite Element Symposium, 7-9 September 2026

Conference name: 39th Chemnitz Finite Element Symposium
Date: 7-9 September 2026
Location: Chemnitz c/o56 Hotel, Germany
Invited Speakers:
Inga Berre,
Gianluigi Rozza,
Ridgway Scott,
Karen Veroy-Grepl
Website: https://www.chemnitz-am.de/cfem2026/

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From: Marie E. Rognes meg@simula.no
Date: February 17, 2026
Subject: PhD Fellowship in Computational Mathematics/Scientific Computing at Simula Research Lab, Norway

The Department for Numerical Analysis and Scientific Computing at Simula
Research Laboratory (Oslo, Norway) is seeking a PhD Candidate in
Computational Mathematics and Scientific Computing.

We offer an excellence-oriented, vibrant, and collaborative research
environment. The position includes an inclusive international working
atmosphere, generous support for travel and networking activities, and
competitive benefits.

More information and application:

https://www.simula.no/careers/job-openings/phd-position-in-scientific-
computing-next-generation-digital-twin-algorithms

Key Dates:

Application deadline: April 15, 2026 (evaluated on a rolling basis)
Planned start date: August 1, 2026 (flexible)

Note: We are primarily looking for a PhD Candidate. However, if you are
interested in a Postdoctoral Fellowship and find that the job description
matches your profile, please feel free to reach out.

Contact: Chief Research Scientist Marie E. Rognes, PhD (meg@simula.no)

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From: Evrim Acar evrim@simula.no
Date: February 18, 2026
Subject: PhD Position, Data Science and Knowledge Discovery, SimulaMet, Oslo, Norway

At Data Science and Knowledge Discovery Department (DataSci) at Simula
Metropolitan Center for Digital Engineering (Oslo, Norway), we are looking for a
highly-motivated, self-driven and curious PhD student with a strong background
in numerical linear algebra and machine learning.

We work with unique data and research challenges provided by clinical partners.
We are looking for a PhD student who will be part of an interdisciplinary and
international research environment, and share our passion to develop impactful
data science methods pushing the frontiers in multiple disciplines.

The topic of the PhD research will lie at the intersection of multimodal learning,
self-supervised learning, contrastive learning and (coupled) tensor
decompositions. The project will focus on developing interpretable multimodal
learning methods jointly analyzing data from abundant and scarce data
modalities, exploring the nonlinearity-interpretability tradeoff.

The deadline for applications: March 15, 2026
For more information, please see the job posting:
https://www.simula.no/careers/job-openings/phd-position-in-multimodal-
learning

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From: Marcello Carioni m.c.carioni@utwente.nl
Date: February 17, 2026
Subject: PhD Position in Optimization and Optimal Transport, University of Twente

We are looking for a talented, research-oriented PhD candidate to join the
NWO-VIDI project "SPARGO: Exploring and Exploiting the Geometric
Landscape of Infinite-Dimensional Sparse Optimization" at University of
Twente. We offer a full-time position for four years in an active and stimulating
research environment, bridging applied and pure mathematics.

The PhD candidate will work under the supervision of Dr. Marcello Carioni and
will be part of the group Mathematics of Imaging and Artificial Intelligence
(MIA) at the department of Applied Mathematics.

For more information about the position and the application procedure, you are
welcome to visit

https://utwentecareers.nl/en/vacancies/2360/phd-position-in-optimisation-
and-optimal-transport/

and contact Dr. Marcello Carioni (m.c.carioni@utwente.nl).

For more information about the project you can additionally visit
https://marcellocarioni.github.io/spargo/

Deadline: 25 March 2026.

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From: Håkon Hoel haakonah@uio.no
Date: February 14, 2026
Subject: PhD Research Fellowship at the University of Oslo

A PhD Research Fellowship in Mathematics and Fluid Mechanics is
available at the Department of Mathematics, University of Oslo,
starting no later than October 1st, 2026. The position is for three
years with the possibility of a fourth year that includes 25% of
other career-promoting work, such as teaching, supervision, or
research assistance, depending on the applicant's qualifications
and the department's needs. The successful applicant will research
ocean wave dynamics, focusing on predicting extreme events like
freak waves, frequency downshift, and transverse modulations using
stochastic mathematical models and computational methods for
uncertainty quantification. Collaboration with the Hydrodynamical
Laboratory for experimental data validation is expected.

For
further details: https://www.jobbnorge.no/en/available-jobs/
job/294736/phd-research-fellow-in-mathematics-and-fluid-mechanics

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From: Tiangang Cui tiangang.cui@sydney.edu.au
Date: February 17, 2026
Subject: Postdoctoral position at University of Sydney

Dear Colleagues,

We would like to draw your attention to an open
postdoctoral position at the University of Sydney to work at the
interface between dynamical systems, optimal transport and machine
learning working with Tiangang Cui and Georg Gottwald.

To apply
and find more information, go to (https://
usyd.wd105.myworkdayjobs.com/en-US/USYD_EXTERNAL_CAREER_SITE/job/
Postdoctoral-Research-Associate-in-Mathematics-and-
Statistics_0146604-1). The position is for 2 years and the deadline
for applications is Sunday March 29 2026 11:59 PM Sydney time.
Please distribute as you see fit.

Thank you very much,
Tiangang Cui

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From: Stefan Engblom stefane@it.uu.se
Date: February 16, 2026
Subject: Assistant Professor in Mathematics/Information Technology, Uppsala University

Uppsala University is launching an excellence initiative focused on recruiting
Assistant Professors, with the aim of attracting the future research leaders. The
Department of Mathematics and the Department of Information Technology are
seeking outstanding early-career researchers who would be a strong fit for
either department.

The position involves advanced research within one of the departments’
research programmes/research areas, as well as teaching in mathematics or
information technology. The subject area is broad, and we are seeking strong
researchers working anywhere from pure theoretical foundations to
application-oriented research.

Apply through the application system:
https://uu.varbi.com/what:job/jobID:895804/

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From: Charley Denton cdenton@aimsciences.org
Date: February 17, 2026
Subject: Contents, AIMS New Volume: CPAA Vol. 28

Communications on Pure and Applied Analysis
Volume: 28
April 2026
https://www.aimsciences.org/cpaa/article/2026/28/0

Averaging principle for multi-scale Stochastic Tamed 3D Navier-Stokes Equations
driven by Lévy noise

Shihu Li, Qiang Rong and Chonghai Zhao

Homogenization of Robin and Steklov problems in a domain with a thin rough
boundary
Patrizia Donato, Sara Monsurrò and Federica Raimondi

Characterizations of weighted Besov and Triebel–Lizorkin spaces with variable
smoothness
Jae-Hwan Choi, Jin Bong Lee, Jinsol Seo and Kwan Woo

On solutions to Hardy-Sobolev equations on Riemannian manifolds
Guillermo Henry and Jimmy Petean

Asymptotic behavior for Euler equations with spatiotemporal nonlinear damping
in critical case
Changchun Liu and Guanghan Zhao

Read more articles here:
https://www.aimsciences.org/cpaa/article/2026/28/0

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From: Charley Denton cdenton@aimsciences.org
Date: February 17, 2026
Subject: Contents, AIMS New Volume: EECT Vol. 19

Evolution Equations and Control Theory
Volume: 19
May 2026
https://www.aimsciences.org/eect/article/2026/19/0

Solvability and Ulam stability in the α-norm for a nonlocal coupled system of
integrodifferential equations in generalized Banach spaces
Hamida Litimein, Sara Litimein, Zhen-You Huang and Mouffak Benchohra

Regularity for non-autonomous parabolic equations with right hand side singular
measures involved
Joachim Rehberg

Exponential stabilization in a hybrid power transmission line model using
feedback sensors at discontinuous joints and uniformly stable approximations
Ahmet Özkan Özer and Jacob Gray Walterman

Existence of optimal and ε-optimal controls for the stochastic 3D
magnetohydrodynamic-α model
R. D. Ayissi, G. Deugoué, J. Ngandjou Zangue and T. Tachim Medjo

Time optimal control problem for the Landau-Lifshitz-Bloch equation
Sidhartha Patnaik and Kumarasamy Sakthivel

A note on weighted vanishing mean value functions and WPAP solutions to
nonautonomous evolution equations
Jin Liang, Gaston Mandata N'Guérékata, Ti-Jun Xiao and Jun Zhang

Read more articles here:
https://www.aimsciences.org/eect/article/2026/19/0

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From: Charley Denton cdenton@aimsciences.org
Date: February 17, 2026
Subject: Contents, AIMS New Article: FMF Vol. 8, Art. 2

Frontiers of Mathematical Finance
Volume: 8, Art. 2
March 2026
https://www.aimsciences.org/FMF/article/2026/8/0

Synchronizing pretrained kernel regressors with applications to American option
pricing
Xuwei Yang, Anastasis Kratsios, Florian Krach, Matheus Grasselli and Aurelien
Lucchi

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From: Charley Denton cdenton@aimsciences.org
Date: February 17, 2026
Subject: Contents, AIMS New Article: JMD Vol. 22, Art. 1

Journal of Modern Dynamics
Volume: 22, Art. 1
2026
https://www.aimsciences.org/jmd/article/2026/22/0

Ergodic averages for sparse sequences along primes
Andreas Koutsogiannis and Konstantinos Tsinas

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From: Charley Denton cdenton@aimsciences.org
Date: February 17, 2026
Subject: Contents, AIMS New Article: MFC Vol. 12, Art. 1

Mathematical Foundations of Computing
Volume: 12, Art. 1
August 2026
https://www.aimsciences.org/mfc/article/2026/12/0

Robust joint estimation of state of charge and electrochemical parameters for
Lithium-ion batteries under model uncertainty and measurement outliers
Ziheng Zhou, Quan Li, Chaolong Zhang and Zhijian He

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From: Charley Denton cdenton@aimsciences.org
Date: February 17, 2026
Subject: Contents, AIMS New Volume: MFC Vol. 11

Mathematical Foundations of Computing
Volume: 11
June 2026
https://www.aimsciences.org/mfc/article/2026/11/0

Asymptotic analysis of the SEIR epidemic model based on the matched
asymptotic method of singular perturbation theory
Yue Zhu and Yi Zhang

On an anisotropic fractional boundary value problem of Kirchhoff-type
Nezha Kamali, Mohammed Shimi and Elhoussine Azroul

A parallel time-Schwarz domain decomposition method applied to an Euler-
Bernoulli beam equation with constant coefficients
Abdelhalim Ben bouzid, Samir Khallouq and Nabila Nagid

Hausdorff measure of noncompactness and Korovkin type approximation
theorem for certain generalized difference sequence spaces
Pinakadhar Baliarsingh and Subhasmita Maharana

Convex analysis method for distributed learning algorithm
Mingdang Tian, Chenmin Ni, Baohuai Sheng and Shuhua Wang

Blind RSA signatures from the t-generalized Lehmer sequences of some classes
of groups
Elahe Mehraban, T. Aaron Gulliver, Reza Ebrahimi Atani and Evren Hincal

Read more articles here:
https://www.aimsciences.org/mfc/article/2026/11/0

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End of Digest
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