Today's Editor:
David S. Bindel
Cornell University
bindel@cornell.edu
Today's Topics:
New Release, SLICOT 5.9.1
Book : Optimal Quadratic Programming and QCQP Algorithms with Applications
Call for Minisymposia, ILAS 2026 - Deadline December 15, 2025
11th Workshop on Matrix Equations and Tensor Techniques (METT XI), KU Leuven, Jan. 2026
Open topic professorship positions at Leibniz University Hannover, Germany
4 Research Associate positions at Michigan State University, USA
PostDoc Position in Inverse Problems at MOX - Politecnico di Milano, Italy
PostDoc Position in Multiscale Modeling at MOX - Politecnico di Milano, Italy
PhD position in Numerical Analysis at Radboud University, Netherlands
Contents Mathematical Modelling and Analysis Vol 30 Issue 4
Contents, AIMS New Article: JCD Vol. 14, Art. 1
Contents, AIMS New Article: JCD Vol. 13, Art. 1
Call for Papers: Special Issue on
See this issue of NA Digest on the web at:
https://na-digest.coecis.cornell.edu/na-digest-html/25/v25n47.html
Submissions, FAQs, and archives:
https://na-digest.coecis.cornell.edu/
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From: Martin Köhler koehlerm@mpi-magdeburg.mpg.de
Date: November 17, 2025
Subject: New Release, SLICOT 5.9.1
The SLICOT Team is pleased to announce the release of SLICOT Version
5.9.1, an update to the Subroutine Library in Control
Theory. Significant changes include the transition of maintenance
responsibilities to Martin Köhler and Jens Saak from the Max Planck
Institute in Magdeburg as the new maintainers, while expressing deep
gratitude to former maintainers Vasile Sima and Andreas Varga for
decades of invaluable work maintaining the software. The build system
has been modernized through a complete migration to CMake, improving
cross-platform compatibility and development workflows. Pre-built
packages are now available for Ubuntu/Debian distributions, while
packaging support has been enhanced for Fedora/RHEL-based
systems. Looking ahead, ongoing efforts will focus on code
modernization to align with contemporary programming standards. The
source code, documentation, and resources can be accessed through the
official SLICOT reference repository at GitHub:
https://github.com/SLICOT/SLICOT-Reference
SLICOT continues to provide robust numerical routines for control
theory applications and welcomes community engagement.
-------------------------------------------------------
From: Zdenek DostalBok zdenek.dostal@vsb.cz
Date: November 14, 2025
Subject: Book : Optimal Quadratic Programming and QCQP Algorithms with Applications
Book is available on
https://link.springer.com/book/10.1007/978-3-031-95167-1
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From: Steffen Werner steffen.werner@vt.edu
Date: November 17, 2025
Subject: Call for Minisymposia, ILAS 2026 - Deadline December 15, 2025
The call for minisymposia proposals for the 27th Conference of the
International Linear Algebra Society (ILAS 2026) at Virginia Tech in
Blacksburg, VA from May 18 to May 22, 2026, is still open. You can
submit your proposals until December 15, 2025.
For more information and the proposal guidelines, follow this link to
the official Call for Minisymposia:
https://ilas2026.math.vt.edu/submissions.html#section-mscall
And to submit a minisymposium proposal, you may use the following link:
https://indico.math.vt.edu/event/2/abstracts/
We are looking forward to many great contributions.
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From: Lieven De Lathauwer Lieven.DeLathauwer@kuleuven.be
Date: November 14, 2025
Subject: 11th Workshop on Matrix Equations and Tensor Techniques (METT XI), KU Leuven, Jan. 2026
We are pleased to announce the 11th Workshop on Matrix Equations and
Tensor Techniques (METT XI), which will take place from January 7–9,
2026, at KU Leuven, Belgium.
As in previous editions, the workshop will focus on recent advances in
the theory, computation, and applications of linear and nonlinear
matrix and tensor equations. Participants are invited to present their
work either as a talk or a poster. There is no conference fee, but
registration is mandatory.
Invited speakers are Markus Bachmayr (RWTH Aachen), Gianluca Ceruti
(Univ. Innsbruck), Mariya Ishteva (KU Leuven) and Jens Saak (MPI for
Dynamics of Complex Technical Systems, Magdeburg).
Further information is available at:
https://homes.esat.kuleuven.be/~mettxi/index.html
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From: Sven Beuchler beuchler@ifam.uni-hannover.de
Date: November 17, 2025
Subject: Open topic professorship positions at Leibniz University Hannover, Germany
Dear Colleagues,
the Leibniz University Hannover offers 6 positions (W2 tt. W3).
More informations can be found at
https://www.uni-hannover.de/de/jobs/id/8122?cHash=6cb29661736b9d0e8447b4f42bbc08e4
You can forward this information also to other interested people.
If there are any questions, do not hesitate to contact me
Sven Beuchler
Institute of Applied Mathematics
Tel: +49-511-76219973
With best regards
Sven Beuchler
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From: Guowei Wei weig@msu.edu
Date: November 20, 2025
Subject: 4 Research Associate positions at Michigan State University, USA
Position Summary
The Dickson, Feig, Vermaas, Wei, Woldring laboratories together form
Team Green, a collaborative research effort funded by DARPA to predict
protein structural ensembles, ligand binding affinities, and protein
functions through existing bioinformatics approaches and an extensive
simulation campaign. To support these efforts, Team Green is looking
for up to 4 qualified postdoctoral research associates to apply
molecular simulation and mathematical methods to extend and develop
these predictive tools into a broadly usable pipeline.
Drs. Wei and Woldring will expect candidates with research experience
and record in machine learning and deep learning modeling of
biomolecular systems, structural and/or sequence
bioinformatics. Research backgrounds in computational biophysics or
mathematical AI are welcome.
Please see more details at:
https://careers.msu.edu/jobs/research-associate-fixed-term-east-lansing-michigan-united-states-a4a0ff83-499b-4d34-9879-a2e231c287e2
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From: Francesco Regazzoni francesco.regazzoni@polimi.it
Date: November 15, 2025
Subject: PostDoc Position in Inverse Problems at MOX - Politecnico di Milano, Italy
Postdoctoral position at MOX Laboratory, Department of Mathematics,
Politecnico di Milano (Italy), on the ERC Advanced Grant "HeartCORE".
This research aims to develop new mathematical and computational
methods, based on differential models and/or Machine Learning, for
solving inverse problems in cardiac optical imaging. The goal is to
reconstruct 3D maps of electrical activation, including transmural
information, from surface optical measurements at multiple
wavelengths. Forward models of light propagation and fluorescence will
provide the physical basis for the inverse problem. Novel
regularization and inference strategies will be explored, using
electrophysiological constraints, data-driven priors, or hybrid
approaches, to recover physically consistent activation dynamics. This
framework will enable robust and interpretable 3D reconstructions of
cardiac electrical activity from complex optical data.
MOX offers a stimulating research environment with extensive academic
and industrial collaborations. HeartCORE is carried out within an
interdisciplinary and international consortium, providing a unique
opportunity to work at the forefront of applied math. The selected
candidate will receive a competitive salary and dedicated travel funds
to attend international conferences and scientific meetings.
We are looking for a highly motivated researcher with a Ph.D. in
Applied Mathematics, Computational Science, or a related field. A
solid background in numerical modeling is required. Duration: 24–48
months.
https://regazzoni.faculty.polimi.it/uploads/PostDoc_HeartCORE_2.pdf
Interested candidates are invited to send their expression of interest
and CV to: Francesco Regazzoni (francesco.regazzoni@polimi.it)
-------------------------------------------------------
From: Francesco Regazzoni francesco.regazzoni@polimi.it
Date: November 15, 2025
Subject: PostDoc Position in Multiscale Modeling at MOX - Politecnico di Milano, Italy
Postdoctoral position at MOX Laboratory, Department of Mathematics,
Politecnico di Milano (Italy), on the ERC Advanced Grant "HeartCORE".
HeartCORE will represent an unprecedented effort to integrate cardiac
morphology and function through high-fidelity, multiscale
electrophysiology simulations. Virtual heart models will be built from
micrometric-resolution reconstructions capturing myocardial
architecture, including cell orientation, microstructural disarray,
and fibrosis distribution. These models, combined with advanced
numerical methods, will link cellular electrophysiology to organ-level
conduction, enabling mechanistic studies of how structural remodelling
— such as interstitial fibrosis or post-infarction scarring — affects
arrhythmogenesis. By connecting detailed experimental data with
predictive simulations, HeartCORE aims to set a new standard for
computational cardiac models and enable data- driven digital twins.
MOX offers a stimulating research environment with extensive academic
and industrial collaborations. HeartCORE is carried out within an
interdisciplinary and international consortium, providing a unique
opportunity to work at the forefront of computational cardiology. The
selected candidate will receive a competitive salary and dedicated
travel funds to attend international conferences and scientific
meetings.
We are looking for a highly motivated researcher with a Ph.D. in
Applied Mathematics, Computational Science, or a related field. A
solid background in numerical modeling is required. Duration: 24–48
months.
https://regazzoni.faculty.polimi.it/uploads/PostDoc_HeartCORE_1.pdf
Interested candidates are invited to send their expression of interest
and CV to: Francesco Regazzoni (francesco.regazzoni@polimi.it)
-------------------------------------------------------
From: Laura Scarabosio laura.scarabosio@ru.nl
Date: November 19, 2025
Subject: PhD position in Numerical Analysis at Radboud University, Netherlands
Dear Colleagues,
The Department of Mathematics at Radboud University invites
applications for a fully funded 4-year PhD position in Numerical
Analysis, financed by my NWO Vidi project "Taming frequency in
Bayesian inverse wave scattering".
The successful candidate will have a background in numerical analysis
and scientific computing, and will work on the design, analysis and
implementation of numerical techniques for Bayesian inversion in
time-harmonic wave propagation.
More details and the application link can be found at:
https://www.ru.nl/en/working-at/job-opportunities/phd-position-numerical-analysis-for-inverse-wave-scattering
The application deadline is 8 January 2026. The preferred starting
date for the position is 1 April 2026, with possibility for
negotiation.
Informal enquiries are welcome at laura.scarabosio@ru.nl
I would be grateful if you could share this announcement with
potential candidates.
Kind regards,
Laura Scarabosio
-------------------------------------------------------
From: Raimonds Ciegis rc@vgtu.lt
Date: November 15, 2025
Subject: Contents Mathematical Modelling and Analysis Vol 30 Issue 4
MATHEMATICAL MODELLING AND ANALYSIS
The Baltic Journal on Mathematical Applications, Numerical Analysis
and Differential Equations
ISSN 1392-6292, ISSN 1648-3510 online, Electronical edition:
http://mma.vgtu.lt
Raimondas {\v{C}}iegis (Editor) Volume 30, Issue 4, 2025 (p.583-729)
CONTENTS
Meiyu Liu, Minghe Pei and Libo Wang
One-signed rotationally symmetric solutions of singular Dirichlet
problems with the prescribed higher mean curvature operator in
Minkowski spacetime
583-603
Viviana Rivera-Estay, Alejandro Rojas-Palma and Eduardo
Gonz{\'a}lez-Olivares
A predation model considering a generalist predator and the Rosenzweig
functional response
604-625
Michael Kopp and Inna Samuilik
Dynamical analysis and adaptive synchronization of a new 6D
hyperchaotic system with the cosine function
626-644
Muniyasamy Murugan, Chandhini Godavarma, Santhosh George, Indra Bate
and Kedarnath Senapati
Convergence analysis of a class of iterative methods: a unified
approach
645-663
Veerasamy Subburayan and Srinivasan Natesan
Robust computing technique for reaction diffusion 2{D} parabolic
problems with shift
664-684
Hassan Khaider, Mohamed El Ouaarabi and Abderrahmane Raji
Global existence and uniqueness of mild solution for a fractional
Keller-Segel system in Besov-Morrey spaces
685-706
Pedro J. Torres
Periodic travelling waves of a forced Cahn-Hilliard equation
707-713
Mohamed Abdelhakem, Dina Abdelhamied, Mamdouh El-kady and Youssri
Hassan Youssri
Spectral algorithm for fractional BVPs via novel modified Chebyshev
polynomials fractional derivatives
714-729
-------------------------------------------------------
From: Charley Denton cdenton@aimsciences.org
Date: November 18, 2025
Subject: Contents, AIMS New Article: JCD Vol. 14, Art. 1
Journal of Computational Dynamics
Volume: 14, Art. 1
April 2026
https://www.aimsciences.org/jcd/article/2026/14/0
Diffusive behavior of transport noise on S²
Sagy Ephrati, Erik Jansson and Andrea Papini
-------------------------------------------------------
From: Charley Denton cdenton@aimsciences.org
Date: November 18, 2025
Subject: Contents, AIMS New Article: JCD Vol. 13, Art. 1
Journal of Computational Dynamics
Volume: 13, Art. 1
January 2026
https://www.aimsciences.org/jcd/article/2026/13/0
A new perspective on symplectic integration of constrained mechanical systems
via discretization maps
María Barbero Liñán, David Martín de Diego and Rodrigo T. Sato Martín de
Almagro
-------------------------------------------------------
From: Zhaoxian Zhou Zhaoxian.Zhou@usm.edu
Date: November 20, 2025
Subject: Call for Papers: Special Issue on
Journal: Mathematics
Publisher: MDPI
Submission Deadline:
1/31/2026
The journal Mathematics is pleased to announce a special
issue on Mathematical Methods in Machine Learning, Neural Networks,
and Computer Vision. This issue aims to explore cutting-edge
mathematical approaches and algorithms that are advancing the
fields of machine learning, neural networks, and computer vision.
We invite researchers and practitioners to submit original
contributions that address both theoretical and applied aspects of
these areas, with a focus on how mathematical methods are enhancing
the capabilities of modern algorithms.
Topics of Interest:
We
welcome submissions related to, but not limited to, the following
themes:
Mathematical foundations of machine learning: Theoretical
analysis of learning algorithms, generalization, optimization, and
complexity.
Neural networks: Architecture design, training
techniques, optimization methods, and their mathematical
underpinnings.
Deep learning: Advanced mathematical approaches in
deep neural networks, convolutional neural networks (CNNs),
recurrent neural networks (RNNs), and transformers.
Computer
vision: Mathematical models and algorithms for image recognition,
object detection, segmentation, and 3D reconstruction.
Mathematical optimization techniques: Approaches to training
machine learning models, including gradient descent, convex
optimization, and non-convex optimization.
Statistical learning
theory: Connections between statistics and machine learning
algorithms, risk bounds, and consistency.
Graph theory and network
models: Applications of graph-based methods in machine learning and
computer vision.
Applications of machine learning and computer
vision: Real-world applications in fields such as healthcare,
robotics, autonomous systems, and augmented reality.
Submission
Guidelines:
Submissions should present original research or in-
depth review articles that contribute to the mathematical
foundations and applications of machine learning, neural networks,
and computer vision.
All papers will undergo a peer-review
process.
Authors must format their manuscripts according to the
journal’s guidelines, available on the MDPI website
Please see
submision details at https://www.mdpi.com/journal/mathematics/
special_issues/29NLYBSIVG
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End of Digest
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