Today's Editor:
David S. Bindel
Cornell University
bindel@cornell.edu
Today's Topics:
ADIA Lab Call for Proposals
New book, The Theory of Finite Difference Schemes for Quasilinear Differential Equations (in Russian)
Call for Papers / Announcement: SSVM 2027 (June 6-10, Veldhoven, the Netherlands)
Panam 2026 Conference in Quito, Ecuador, June 2026
Summer School on HPC Driving AI, June 2026
UQ Summer School - USC, Los Angeles, CA Aug 12-14 2026
Second announcement of the Summer School on "Pattern Formation: Analysis and Numerics"
Dolomites Research Week on Approximation and Applications 2026, Sep 2026
Conference ApplMath26, Croatia, Sep 2026
KCDS Summer School on Graph Neural Networks, Sep 2026
Call for submissions - 6th IMA–OR Society Conference on Management Mathematics, April 2027
Postdoc Position in Numerical Analysis at Univ Greifswald, Germany
Two postdoc positions at UMBC, USA
PhD position in Computational Mathematics, KTH, Sweden
Contents, Computational methods in applied mathematics 2026(2)
Contents, AIMS New Article: MFC Vol. 12, Art. 10
See this issue of NA Digest on the web at:
https://na-digest.coecis.cornell.edu/na-digest-html/26/v26n19.html
Submissions, FAQs, and archives:
https://na-digest.coecis.cornell.edu/
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From: Massimo Morini Massimo.Morini@adialab.ae
Date: May 04, 2026
Subject: ADIA Lab Call for Proposals
The ADIA Lab Call for Proposals for the Digital Economy is now open. ADIA Lab
invites expressions of interest for its 2026 funding cycle, supporting
high-impact research at the intersection of artificial intelligence and the
digital transformation of the economy.
The program focuses on advancing scientific foundations, scalable systems,
and real-world applications across AI models, digital assets, the economics of
AI, and digital infrastructure. Selected projects should demonstrate a clear
pathway from research to application, contributing to more resilient,
transparent, and efficient economic systems.
Expressions of interest should be submitted by **May 8, 2026**, at the
following link:
https://www.adialab.ae/digital-economy-rfp
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From: Le Minh Hieu lmhieuktdn@gmail.com
Date: May 07, 2026
Subject: New book, The Theory of Finite Difference Schemes for Quasilinear Differential Equations (in Russian)
Piotr Matus, Le Minh Hieu. The Theory of Finite Difference Schemes for
Quasilinear Differential Equations,
Minsk: Belarusian Science, 2026, 529p.,
ISBN 978-985-08-3391-4 (in Russian).
We are pleased to announce the publication of our new monograph,
currently available in Russian. This book contains a systematic
presentation of the main theoretical aspects of finite-difference
schemes approximating non-stationary initial-boundary value problems
for quasilinear equations of mathematical physics with nonlinearities
of unbounded growth. The main attention is paid to the issues of
monotonicity, stability and convergence of difference methods. The
issues of coefficient (strong) stability of operator difference
schemes and differential-operator equations under perturbation of
unbounded operator coefficients, as well as issues of construction and
study of compact computational methods are also considered. The book
is intended for specialists in numerical methods for solving problems
of mathematical physics; the material is accessible to senior
university students.
Key topics covered include:
- Monotone difference schemes for nonlinear equations.
- Stability of difference schemes for nonstationary quasilinear
equations with unbounded nonlinearity.
- Convergence and accuracy of difference schemes approximating
nonstationary problems with unbounded nonlinearity.
- Exact and compact difference schemes of high approximation order.
For more details, including the Table of Contents, Introduction, and
Bibliography, please visit:
https://www.researchgate.net/publication/404574883_The_Theory_of_FDSs_for_Quasilinear_Differential_Equations_in_Russian
Bookstore link:
https://belnauka.by/component/mtree/knizhnye/978-985-08-3391-4.html?Itemid=
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From: Tristan van Leeuwen t.van.leeuwen@cwi.nl
Date: May 07, 2026
Subject: Call for Papers / Announcement: SSVM 2027 (June 6-10, Veldhoven, the Netherlands)
Dear Colleagues,
We are delighted to announce that the 11th International Conference on Scale
Space and Variational Methods in Computer Vision (SSVM 2027) will take
place from Sunday, June 6th to Thursday, June 10th, 2027, in Veldhoven, the
Netherlands.
Continuing the successful biennial series, SSVM serves as a premier forum
for researchers at the intersection of continuous mathematics and computer
vision. Our core focus is on the mathematical formulation of imaging
problems using continuous-domain modeling, including variational methods,
geometry, PDEs, and machine learning.
Topics of interest include (but are not limited to):
-Geometric Learning & 3D vision
-Inverse problems in imaging
-Machine learning in imaging
-Multi-orientation and multi-scale modelling & analysis
-PDEs in data processing
-Restoration, reconstruction, and segmentation
-Scale-space and Variational methods
-Medical imaging and other applications
Important Dates:
-Paper Submission Deadline: December 20th, 2026
-Registration opens: March 31st, 2027
-For more information regarding submissions, the venue, and the schedule,
please visit our official website: https://ssvm2027.github.io/
We look forward to welcoming you to Veldhoven for an inspiring and
collaborative event!
Best regards,
The SSVM 2027 Organizing Committee (https://ssvm2027.github.io/people/)
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From: Jose E Castillo jcastillo@sdsu.edu
Date: May 05, 2026
Subject: Panam 2026 Conference in Quito, Ecuador, June 2026
The X PanAmerican Workshop in applied mathematics and computational
science will be held in Quito, Ecuador June 15-19 2026. The objective of
the workshops are to create cooperative research activities based
on international collaboration and to promote the development of
applied and computational mathematics in Latin America. To accomplish
these goals, we must bring together practicing applied mathematicians
and computational scientists in the Americas to exchange research
information, and create a forum for researchers to refine, enhance and
implement research activities. The purpose is to continue to center in
areas of applied and computational mathematics, such as, computational
fluid dynamics, numerical optimization, high-performance computing,
grid generation, computer algebra, and dynamical systems aimed to
evaluate data related to areas of environmental, social and economic
development in the Americas
https://www.csrc.sdsu.edu/events/conferences/PanAm2026/
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From: Carla Doser marketing@chn.tum.de
Date: May 05, 2026
Subject: Summer School on HPC Driving AI, June 2026
Join us from June 16 to June 20, 2026 and expand your knowledge of
advanced HPC and AI technologies, develop solutions for real-world
scientific challenges, and work directly with leading experts. An
intensive program for research, innovation, and international
networking, offered by one of Europe’s leading technical universities
– the Technical University of Munich – at the Bildungscampus
Heilbronn.
A consortium comprising the Technical University of Munich, ETH Zürich
Campus Heilbronn, the Jülich Supercomputing Centre, HLRS Stuttgart,
the Swiss National Computing Center (CSCS) and the Leibniz
Supercomputing Centre is organizing and hosting the first joint
interdisciplinary summer school on advanced high- performance
computing (HPC) techniques for machine learning, data-driven models,
and physics-based simulations.
Over five days of intensive sessions, workshops, and networking
opportunities, participants will learn how cutting-edge HPC
technologies enable the next generation of data-driven
applications—from scalable AI models to high- precision simulations of
complex systems. They will gain insights into ongoing research
projects, apply methods in practical exercises, and network with
leading researchers and the regional innovation ecosystem in
Heilbronn—a center for AI, digitalization, and high-performance
computing. Apply now!
More information: chn.tum.de/hpc-summer-school
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From: Roger Ghanem ghanem@usc.edu
Date: May 01, 2026
Subject: UQ Summer School - USC, Los Angeles, CA Aug 12-14 2026
The 2026 Uncertainty Quantification Summer School will be be convening
at USC on August 12-14. Since 2011, the Summer School has featured
deep dives into UQ topics at the frontier of science and
engineering. This year's agenda continues the pace, with a focus on
learning paradigms, physics constraints, and quantum computing.
Additional details including the agenda can be found at:
http://venus.usc.edu/UQ-SummerSchool/
We look forward to seeing you again in August.
Best wishes
Roger Ghanem
Youssef Marzouk
Habib Najm
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From: Alessandro Alla alessandro.alla@uniroma1.it
Date: May 04, 2026
Subject: Second announcement of the Summer School on "Pattern Formation: Analysis and Numerics"
We are pleased to share the second announcement of the Summer School on
"Pattern Formation: Analysis and Numerics". The program will cover topics
including biological modelling, analytical foundations and numerical methods
for Reaction-Diffusion PDEs.
The event will take place from September 14 to September 18, 2026 and will be
hosted in Rome at the Department of Mathematics of Sapienza, University of
Rome.
For more information please visit the website
https://sites.google.com/uniroma1.it/pattern-formation/home
Note that the registration is open and free of charge BUT mandatory. The
deadline to register is July 25, 2026.
Financial support for PhD students and PostDocs researchers is also available.
The deadline to apply for support has been extended to May 20,2026. More
details can be found at https://sites.google.com/uniroma1.it/pattern-
formation/financial-support?authuser=1
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From: Giacomo Elefante giacomo.elefante@usi.ch
Date: May 08, 2026
Subject: Dolomites Research Week on Approximation and Applications 2026, Sep 2026
Dear Colleagues,
The registration for the Dolomites Research Week on Approximation
and Applications 2026 (DRWAA26) is now open. You can fill the
registration form at the following link
https://sites.google.com/view/drwaa26/registration
The deadline for regular registration is July 6th.
DRWAA26 is scheduled for August 31th - September 4th, 2026 in
Bressanone (BZ), Italy. You can find information and updates at the
following link
https://sites.google.com/view/drwaa26
Confirmed plenary speakers:
- Prof. Mariarosa Mazza (Università di Roma Tor Vergata)
- Prof. Michael Multerer (Università della Svizzera italiana)
Confirmed parallel sessions/working groups (updating):
- RBF and kernel-based methods (organizers: B. Degli Esposti and M.
Rot)
- Computational Imaging: Theory, Algorithms, and Learning
(organizers: T. Bubba, W. Erb, C. Razzetta)
A Poster Session will take place on September 3th (organizers: G.
Elefante and G. Santin)
Please refer to the website for future updates on the scientific
program. For any information, feel free to contact us --->
drwaa26@math.unipd.it
Best regards,
the Organizing Committee
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From: Marko Erceg maerceg@math.hr
Date: May 08, 2026
Subject: Conference ApplMath26, Croatia, Sep 2026
ApplMath26, 13th Conference on Applied Mathematics and Scientific
Computing, 21-25 September 2026, Dubrovnik, Croatia
The conference is organized by the Department of Mathematics, Faculty
of Science, University of Zagreb, Croatia. The aim of the Conference
is the exchange of ideas, methods and problems between various
disciplines of applied mathematics. Non mathematicians using
mathematics as a tool are also encouraged to take part in the
Conference.
All relevant information, including registration forms and abstract
submission can be found on https://applmath.math.pmf.unizg.hr/2026
Plenary speakers (confirmed so far):
- Guido De Philippis, Courant Institute of Mathematical Sciences, USA
- Stefan Güttel, University of Manchester, UK
- Barbara Kaltenbacher, Universität Klagenfurt, Austria
- Kenneth H. Karlsen, University of Oslo, Norway
- Yuji Nakatsukasa, Oxford University, UK
- Anna-Karin Tornberg, KTH Royal Institute of Technology, Sweden
- Thomas Wick, Leibniz Universität Hannover, Germany
Topics of the Conference:
Mathematical methods in continuum mechanics;
Numerical linear algebra; Scientific computing;
Ordinary and partial differential equations;
Integral equations; Singular perturbation problems;
Numerical mathematics in general; Optimization;
Engineering
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From: Angela Hühnerfuß angela.huehnerfuss@kit.edu
Date: May 06, 2026
Subject: KCDS Summer School on Graph Neural Networks, Sep 2026
We are excited to announce the KCDS Summer School on Graph Neural
Networks (GNNs) taking place at KIT in Karlsruhe from September 21–25,
2026.
The program will cover fundamental concepts as well as practical
applications of graph-based machine learning for real-world
problems. Together with our speakers, we have designed a mix of
lectures and hands-on tutorials. They are complemented by
opportunities for networking through a conference dinner and a poster
session.
We are pleased to welcome an outstanding group of speakers:
* Jan Stühmer (HITS, KIT) – Introduction to GNNs, including a
practical session, and Equivariance as Design Principle in Modern
Machine Learning
* Ismail Ilkan Ceylan (TU Vienna, AITHYRA) – Graph Foundation Models
* Joel Oskarsson (ETH) – GNNs for Spatio-Temporal Modelling and Earth
System Modelling
* Arghya Bhowmik (DTU) – GNNs for Material Sciences
To join us, register by June 30th via:
https://indico.kit.edu/e/kcdssummer2026
We look forward to welcoming you!
The Organizers: Michael Crocoll, Kristof Kraus, Lina Rennstich and
Leonard Vetter
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From: Pamela Bye conferences@ima.org.uk
Date: May 06, 2026
Subject: Call for submissions - 6th IMA–OR Society Conference on Management Mathematics, April 2027
29 – 30 April, 2027
The Studio
51 Lever Street, Manchester, M1 1FN, UK
https://ima.org.uk/28639/the-6th-ima-or-society-conference-on-management-mathematics-formerly-the-conference-on-the-mathematics-of-operational-research/
Originally the conference on Mathematics of Operational Research, and
recently renamed to the Conference on Management Mathematics, 2027
marks the 6th edition of this event and will aim to draw together the
considerable community of researchers and practitioners who use and/or
develop innovative mathematics that is relevant to Management Science,
Operational Research, Business Analytics and related disciplines. We
welcome contributions covering theory, applications, algorithms and/or
software. The conference will host plenaries from leading
international experts, sessions of themed talks, as well as poster
sessions, and provide plenty of opportunities for networking.
Call for General Papers & Posters - 300-word abstract for oral or
poster presentations by 31st January 2027. Posters are particularly
encouraged from PhD students.
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From: Roland Pulch roland.pulch@uni-greifswald.de
Date: May 08, 2026
Subject: Postdoc Position in Numerical Analysis at Univ Greifswald, Germany
The group of Applied Mathematics at University of Greifswald
(Germany) is searching for candidates for a postdoctoral position
in Numerical Analysis. This full-time employment includes both
research and teaching. The salary is on German level 13 TV-L in
science. The position is available from August 2026 (or later) and
limited to three years.
Candidates must bring a degree (Masters or Diploma) in mathematics,
science, technology or engineering above average, a PhD degree, and
a focus on numerical mathematics and/or scientific computing.
Knowledge of numerical analysis and simulation for differential
equations is desired.
For details and further links see:
https://math-inf.uni-greifswald.de/institut/ueber-uns/mitarbeitende/pulch/stellenausschreibung/
Applications can be sent to: Prof. Dr. Roland Pulch, email:
roland.pulch@uni-greifswald.de
Deadline for applications: June 15, 2026
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From: Andrei Draganescu draga@umbc.edu
Date: May 04, 2026
Subject: Two postdoc positions at UMBC, USA
The Department of Mathematics and Statistics at the University of
Maryland, Baltimore County (UMBC) invites applications for two
Postdoctoral Fellowships in Applied Mathematics, beginning Fall 2026.
Both positions are for one year with the possibility of renewal
contingent upon satisfactory performance and the availability of
funding. Applicants must have completed a Ph.D. in applied
mathematics, engineering, computer science or a related field by the
start date.
For Postdoc position #1 we seek candidates with research interests in
Quantum Computing, Optimization, Operations Research and Numerical
Linear Algebra. Applicants should demonstrate expertise in at least
two of the following areas: quantum computing and information,
optimization, numerical linear algebra, and operations
research. Please apply using
https://apply.interfolio.com/185295
For Postdoc position #2 we seek candidates with research interests in
numerical methods for the optimal control of partial differential
equations with expertise in at least two of the following areas:
numerical analysis of partial differential equations, optimization,
numerical linear algebra, and continuum mechanics. Please apply using
https://apply.interfolio.com/185228
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From: Jennifer Ryan jryan@kth.se
Date: May 07, 2026
Subject: PhD position in Computational Mathematics, KTH, Sweden
One fully-funded PhD position is available within my group in the Numerical
Analysis, Optimization & Systems Theory division in the Mathematics
Department at KTH Royal Institute of Technology. The focus of the PhD is on
the development of digital twins for understanding moisture dynamics in the
insulation for high-voltage transformers. This is an interdisciplinary project in
collaboration with and partially funded by an industrial partner. The project will
incorporate theory, algorithms, and a focused application. A Masters degree is
required at the time of hire.
The details of the PhD project and the application procedure can be found at
www.kth.se/lediga-jobb/927868?l=en
Application Deadline: 28 May 2026
Start Date: 15 August 2026 or by agreement
Enquiries about the project and position can be directed to
Jennifer Ryan (jryan@kth.se).
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From: Svetozar Margenov margenov@parallel.bas.bg
Date: May 03, 2026
Subject: Contents, Computational methods in applied mathematics 2026(2)
COMPUTATIONAL METHODS IN APPLIED MATHEMATICS (2026), No 2
Special Issue Dedicated to the Memory of Raytcho Lazarov (1943–2024)
Editorial
Ulrich Langer, Svetozar Margenov
Special Issue Articles
Numerical Solution of 2D Boundary Value Problems on Merged Voronoi–
Delaunay Meshes
Mikhail M. Chernyshov, Petr N. Vabishchevich
Multicontinuum Homogenization for Two-Phase Model with Linear Transport
Yalchin Efendiev, Buzheng Shan, Wing Tat Leung, Dmitry Ammosov,
Mohammed Al Kobaisi
Reliable Eigenspace Error Estimation Using Source Error Estimators
Jay Gopalakrishnan, Gabriel Pinochet-Soto
Adaptive Least-Squares (Space-Time) Finite Element Methods For Convection-
Diffusion Problems
Christian Köthe, Olaf Steinbach
Functional a Posteriori Estimates for the Fractional Laplacian Problem
Alexander Nazarov, Sergey Repin
Properties of the Graph Modularity Matrix and Its Applications
Benjamin Quiring, Panayot S. Vassilevski
Learning from Linear Algebra: A Graph Neural Network Approach to
Preconditioner Design for Conjugate Gradient Solvers
Vladislav Trifonov, Alexander Rudikov, Oleg Iliev, Yuri M. Laevsky, Ivan
Oseledets, Ekaterina Muravleva
On the Unisolvence for the Quasi-Polynomial Spaces of Differential Forms
Shuonan Wu, Ludmil T. Zikatanov
Multipoint Stress Mixed Finite Element Methods for Elasticity on Distorted
Quadrilateral Grids
Ibrahim Yazici, Ivan Yotov
Regular papers
Optimal Control of Transmission Problems and Numerical Approximation by
Adaptive FEM-BEM Coupling
Thomas Führer, Michael Karkulik, Catalina Silva Rojas
The Spectral-Galerkin Method for the Time-Space Fractional Diffusion Equation
in the Unbounded Domain
Yong Suk Kang, Song Yol Kim, Wi Ryong Pak, Chol Guk Choe
Convergence of Higher Order Finite Element Method on eXp-Bakhvalov Mesh
for a 2D Convection-Diffusion Equation with Exponential Boundary Layers
Sachin Kumar Sahu, Pramod Chakravarthy Podila
A Robust Numerical Scheme for Solving the Two-Dimensional Shallow Water
Equations with Time-Dependent Bottom Topography
Zige Wei, Jian Dong, Xu Qian
Vectorized 3D Mesh Refinement and Implementation of Primal Hybrid FEM in
MATLAB
Harish Nagula Mallesham, Sharat Gaddam, Jan Valdman, Sanjib Kumar Acharya
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From: Charley Denton cdenton@aimsciences.org
Date: May 01, 2026
Subject: Contents, AIMS New Article: MFC Vol. 12, Art. 10
Mathematical Foundations of Computing
Volume: 12, Art. 10
August 2026
https://www.aimsciences.org/mfc/article/2026/12/0
Existence result for a nonlocal Robin problem involving the p-Laplacian plus an
indefinite potential
Abdessamad El Katit and Fatna Jaafri
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End of Digest
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