Today's Editor:
Alex Townsend
Cornell University
townsend@cornell.edu
Today's Topics:
pyTensorlab – a new Python toolbox for tensor computations
New Book: Error Freed CFD Mathematics: Stability, Monotonicity, Finite Element Theory
New Book, The Birth and Early Developments of Orthogonal Polynomials
New Book, Consensus and Synchronization: From the Euclidean Space and the Circle to Lie Groups
Call for Minisymposia, ILAS 2026 - Deadline December 15, 2025
Deadline extended - Section S17 at GAMM Annual Meeting in Stuttgart, March 2026
NUMTA 2026 Call for Special Sessions
MOG2026: Mathematics of Networks with Physical Transport
PhD positions in hybrid SciML and numerical weather prediction (SFU)
PhD position: Computational Modelling of Bone Regeneration in Compromised Environments
PhD position in Scientific Computing and Quantum Physics at Uppsala University, Sweden
Postdoc opening in Computation- and Data-Enabled Science at Portland State University
Contents, AIMS New Volume: CPAA Vol. 26
Contents, Iranian J Numerical Analysis and Optimization, 15 (4)
See this issue of NA Digest on the web at:
https://na-digest.coecis.cornell.edu/na-digest-html/25/v25n50.html
Submissions, FAQs, and archives:
https://na-digest.coecis.cornell.edu/
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From: Lieven De Lathauwer Lieven.DeLathauwer@kuleuven.be
Date: December 05, 2025
Subject: pyTensorlab – a new Python toolbox for tensor computations
Dear colleagues,
We are pleased to announce the first release of pyTensorlab
(https://pytensorlab.net), a Python package for tensor computations and
complex-valued optimization.
The toolbox provides implementations of CPD, MLSVD/HOSVD, and TT
decompositions for dense, sparse, incomplete, and structured tensors, as well
as utilities for tensor–tensor and tensor–matrix products, folding/unfolding,
tensorization, data generation, and visualization. Real and complex data are
supported through a built-in complex optimization framework.
Documentation & resources:
- Installation via PyPI: https://pypi.org/project/pyTensorlab/
- API reference: https://pytensorlab.net/docs/reference/
- User guide & manual: https://pytensorlab.net/docs
- Demos: https://gitlab.esat.kuleuven.be/tensorgroup-public/pytensorlab-demos
pyTensorlab is part of the Tensorlab ecosystem, alongside the MATLAB toolbox
Tensorlab 3.0 (https://tensorlab.net) and the reproducible research repository
Tensorlab+ (https://tensorlabplus.net).
The package is free for non-commercial research use. We welcome your
feedback and hope you find pyTensorlab useful in your work.
Best regards,
The pyTensorlab Team
-------------------------------------------------------
From: A J Baker and James D Freels jdfreels@proton.me
Date: December 05, 2025
Subject: New Book: Error Freed CFD Mathematics: Stability, Monotonicity, Finite Element Theory
We are pleased to announce the availability of our new monograph.
Abstract: Error Freed CFD Mathematics analytically derives and validates
nonlinear continuum-calculus modifications to the Navier–Stokes partial
differential equation system that aim to eliminate the intrinsic error mechanisms
found in legacy CFD theory and practice, including spatial-temporal
discretization-induced instability, limitations of discrete algebra formulations,
isotropic Reynolds-stress modeling issues, and weak-linear-algebra-induced
non-convergence that together compromise the fidelity of fluid-physics
predictions.
Within a weak-formulation continuous Galerkin finite element (FE) framework,
the analysis identifies cubically nonlinear continuum tensor-product functionals
that remove the need for ad-hoc “phake physics” stabilization and also provide
stabilized shock capture. The resulting formulation yields tri-diagonal-stencil-
equivalent discrete approximations that are strictly monotone and fourth-order
accurate in physical space, wave-number space, and implicit time on any mesh.
Matrix differential calculus is used to identify all nonlinear contributions to the
quadratically convergent Newton iteration, thereby preventing the production
of non-converged solutions.
The theory applies to incompressible and compressible laminar, turbulent, and
transitional thermal-fluid dynamics in multiply connected domains with shocks
and contact surfaces. It provides rigorous asymptotic convergence results,
local and global error estimates, error quantification, and stopping criteria for
solution-adaptive, nonuniform mesh refinement executed “on the fly” at the
optimal mesh resolution. The mathematical developments enable ready
adaptation to existing finite-volume and finite-element CFD codes used in
commercial and government settings. Vector calculus replaces difference
algebra; nonlinear calculus–based alterations to the Navier–Stokes system
remove all legacy error mechanisms; and the resulting tridiagonal-stencil CFD
method produces stable, fourth-order, monotone solutions on arbitrary
meshes.
Availability: From De Gruyter Brill at https://doi.org/10.1515/9783112206430
or from your preferred bookseller.
-------------------------------------------------------
From: Mitchell Graham mgraham@siam.org
Date: December 05, 2025
Subject: New Book, The Birth and Early Developments of Orthogonal Polynomials
The Birth and Early Developments of Orthogonal Polynomials by Claude
Brezinski and Michela Redivo-Zaglia
The shape of the Earth was a significant scientific question in the eighteenth
century. When it was discovered that the Earth was flattened at the poles,
scientists sought to understand the cause, leading to the study of the
gravitational attraction of celestial spheroids. The solution drew upon Newton’s
law of universal gravitation, which used the distance between two bodies based
on the law of cosines. Expanding the inverse of this distance into a power series
naturally leads to a class of orthogonal polynomials. These were introduced by
Legendre and, a little bit later, by Laplace. Legendre was the first to prove their
orthogonality. Thirty years later, Gauss, approaching the problem from the
perspective of numerical quadrature, independently arrived at the same
polynomials. Over time, as concern for the gravitational problem of spheroids
waned, the intrinsic mathematical interest in orthogonal polynomials took
precedence.
The Birth and Early Developments of Orthogonal Polynomials: A Chronological
History is the first book to describe the history of orthogonal polynomials,
covering their birth and early developments from the end of the 18th century
to the middle of the 20th century. It includes biographies of principal and
lesser-known figures, anecdotes, and accounts of the countries and institutions
involved.
The book will appeal to researchers and students in applied mathematics,
mathematical analysis, special functions, and orthogonal polynomials as well as
to those interested in the history of mathematics and the sciences.
November 2025 / xvi + 593 pages / 978-1-61197-850-6 / Hardcover /
Nonmember $111.00 / SIAM Member $77.00 / OT207
Bookstore link:
https://epubs.siam.org/doi/book/10.1137/1.9781611978513
-------------------------------------------------------
From: Mitchell Graham mgraham@siam.org
Date: December 05, 2025
Subject: New Book, Consensus and Synchronization: From the Euclidean Space and the Circle to Lie Groups
Consensus and Synchronization: From the Euclidean Space and the Circle to Lie
Groups by Rama Seshan Chandrasekaran, Ravi N. Banavar, and Arun D.
Mahindrakar
Coordination, consensus, and synchronization are found in diverse natural
phenomena and engineering applications. Examples are flocking birds,
illuminating fireflies, schooling fish, and distributed control and sensing. The
simplest of such problems are set in the Euclidean spaces and the circle. This
book moves beyond this domain to the more sophisticated setting of Lie groups
with bi-invariant metrics and extends the mathematical theories of consensus and
synchronization for generic scenarios. This is relevant to applications such as
robotics, autonomous vehicles, and spacecraft.
December 2025 / xii + 86 pages / Softcover / 978-1-61197-879-7 / List $54.00 /
SIAM Member $37.80/ SL09
Bookstore link:
https://epubs.siam.org/doi/10.1137/1.9781611978803
-------------------------------------------------------
From: Steffen Werner steffen.werner@vt.edu
Date: December 10, 2025
Subject: Call for Minisymposia, ILAS 2026 - Deadline December 15, 2025
The deadline for the submission of minisymposia proposals to the 27th
Conference of the International Linear Algebra Society (ILAS 2026) is fast
approaching (December 15, 2025). Don't miss your chance to bring together
the experts from your linear algebra-related research field to this exciting
conference. You can submit your proposals via the following link:
https://indico.math.vt.edu/event/2/abstracts/
ILAS 2026 takes place in Blacksburg, VA, USA from May 18 to 22, 2026. For
further details including travel and lodging information, and information about
the registration, please visit the official conference webpage at:
https://ilas2026.math.vt.edu/
The submission of all talks (including contributed talks that are not associated
with minisymposia) will open December 16.
We are looking forward to many great contributions.
-------------------------------------------------------
From: Marcel Schweitzer marcel@uni-wuppertal.de
Date: December 11, 2025
Subject: Deadline extended - Section S17 at GAMM Annual Meeting in Stuttgart, March 2026
Dear Colleagues,
The 96th Annual Meeting of the International Association of Applied
Mathematics and Mechanics (GAMM) will be hosted at the University of
Stuttgart March 16 - 20, 2026 in Stuttgart, Germany.
The deadline for abstract submission has now been extended to January 8,
2026.
On behalf of the organizing committee, we would like to invite you, your
colleagues, postdocs, and graduate students to join
Section S17: APPLIED AND NUMERICAL LINEAR ALGEBRA
The topical speakers of the session are Maike Meier (University of Groningen)
and Patrick Kürschner (HTWK Leipzig).
Contributed talks in this session will have a length of 15 minutes plus 5 minutes
for discussion. Once the abstracts have been received, depending on the
number of submissions and allowed time slots, we may have to select an
appropriate number of abstracts for presentations.
For more detailed information concerning the submission of abstracts as well
as registration and accommodation, please visit the conference website at
https://jahrestagung.gamm.org/annual-meeting-2026/96th-annual-meeting-2/
The new deadline for abstract submission is January 8, 2026.
The deadline for early online registration is January 22, 2026.
Online registration will close on March 1, 2026.
Please note that we cannot provide any financial support or exceptions from
the registration fee for participants.
We are looking forward to welcoming you in Stuttgart. Please let us know if you
have any questions regarding the organization of the Section.
Jemima Tabeart, TU Eindhoven, NL (j.m.tabeart@tue.nl)
Marcel Schweitzer, Bergische Universität Wuppertal (marcel@uni-wuppertal.de)
(Section Organizers S17)
-------------------------------------------------------
From: Dmitri Kvasov kvadim@dimes.unical.it
Date: December 09, 2025
Subject: NUMTA 2026 Call for Special Sessions
Proposals for special sessions for the forthcoming NUMTA 2026 Conference are
open until January 31, 2026: https://www.numta.org/special-streams-and-sessions/
The 5th International Triennial Conference and Summer School “Numerical
Computations: Theory and Algorithms” (NUMTA 2026) 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, close to the Lamezia
Terme International Airport.
The conference is organized by DIMES, University of Calabria, in cooperation with
SIAM: https://www.siam.org/conferences-events/cooperating-conferences/numta2026/
Main topics: numerical analysis, computational models, optimization and machine
learning, and emerging computational paradigms.
Complete list of topics: https://www.numta.org/topics
Confirmed plenary lectures: https://www.numta.org/plenary-lectures-and-tutorials
Louis D'Alotto (New York, USA), Schahram Dustdar (Vienna, Austria), Daniel Krob
(Paris, France), Daniel Kuhn (Lausanne, Switzerland), Gitta Kutyniok (Munich,
Germany), Yurii Nesterov (Budapest, Hungary), Panos Pardalos (Gainesville, USA),
Davide Rizza (Norwich, UK).
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From: Jan Giesselmann giesselmann@mathematik.tu-darmstadt.de
Date: December 06, 2025
Subject: MOG2026: Mathematics of Networks with Physical Transport
We are pleased to announce the fifth edition of the international
conference
“MOG2026: Mathematics of Networks with Physical Transport”
on May 20–21, 2026, in Nuremberg, Germany.
This two-day conference will bring together experts in applied
mathematics to discuss the latest developments in mathematical
modeling, simulation, and optimization in networks involving physical
transport.
We aim to foster stimulating discussions between academic researchers
and industry professionals on current challenges in energy systems,
logistics, transportation, and related fields.
In addition, all participants are invited to contribute to the conference by
presenting their work at the poster session.
For more information and registration (by March 31, 2026), please visit:
https://www.trr154.fau.de/mog2026/
Invited speakers:
- Wim van Ackooij (EDF R&D)
- Daniela Bernhard (FAU Erlangen-Nürnberg)
- Lorenz Biegler (CMU Pittsburgh)
- Christoph Buchheim (TU Dortmund)
- Line Roald (University of Wisconsin-Madison)
- Lavinia Ghilardi (Politecnico Milano)
- Nicole Marheineke (University of Trier)
- Nicola De Nitti (Università di Pisa)
The conference is organized by the German Collaborative Research
Center TRR 154 (Mathematical Modeling, Simulation, and Optimization
using the Example of Gas Networks), funded by the German Research
Foundation (DFG).
For more details, please visit: https://www.trr154.fau.de/trr-154-en/
Nuremberg, a vibrant city with a rich history and culture, provides an
inspiring setting for scientific exchange. Located in the heart of Bavaria, it
combines a picturesque old town with modern infrastructure and is
easily accessible by train and air.
-------------------------------------------------------
From: Steven Ruuth sruuth@sfu.ca
Date: December 11, 2025
Subject: PhD positions in hybrid SciML and numerical weather prediction (SFU)
We invite applications for several funded MSc and PhD positions in the Applied
and Computational Mathematics program at Simon Fraser University (SFU), to
work on hybrid scientific machine learning and numerical weather prediction
(NWP), in collaboration with Environment and Climate Change Canada, with a
particular focus on the Canadian Arctic.
This project aims to fuse traditional numerical methods with machine learning
techniques such as operator learning and active learning to enhance predictive
capabilities in regions where traditional weather prediction performs poorly.
These positions are part of a larger, multi-institutional initiative on hybrid ML–
NWP across Canada. Accurate forecasts in the Canadian Arctic are critical for
the safety, food security, and resilience of Inuit Nunangat communities.
Applicants should have an undergraduate degree in mathematics or a closely
related discipline. Experience in numerical analysis is expected; familiarity with
(or a strong interest in learning) machine learning is highly desirable.
Applicants should apply to SFU’s Applied and Computational Mathematics
graduate program through the following link, listing Professors Ben Adcock and
Steven Ruuth as potential supervisors:
https://www.sfu.ca/math/graduate/prospective/admissions.html
Applicants should include a short statement in their application describing their
interest in this project and discussing relevant experience or expertise.
Successful candidates will receive a competitive funding package (typically a
combination of teaching assistantships and research assistantships) for the
normal duration of their program. The deadline for applications is Jan 13, 2026.
For inquiries, please contact Ben Adcock (ben_adcock@sfu.ca) or Steven
Ruuth (sruuth@sfu.ca).
-------------------------------------------------------
From: Aurélie Carlier a.carlier@maastrichtuniversity.nl
Date: December 11, 2025
Subject: PhD position: Computational Modelling of Bone Regeneration in Compromised Environments
This vacancy represents an exciting opportunity for ambitious individuals to join
the computational group led by Aurélie Carlier as part of the DRIVE-RM program.
The PhD researcher will perform cutting-edge research in computational
modeling methods applied to regenerative medicine and more specifically, to
bone regeneration.
Regenerative medicine (RM) holds the promise to cure many of what are now
chronic patients, restoring health rather than protracting decline, bettering the
lives of millions and at the same time preventing lifelong, expensive care
processes: cure instead of care. The scientific community has made large steps in
this direction over the past decade, however, our understanding of the
fundamentals of cell, tissue and organ regeneration and of how to stimulate and
guide this with intelligent biomaterials in the human body is still in its infancy.
Specifically, it is crucial to understand the underlying regenerative mechanisms
and how these are altered in compromised environments (e.g. due to aging or
co-morbidities such as diabetes or chronic kidney disease). This research project
aims to develop and use in silico models to simulate the bone regeneration
process, to improve our fundamental understanding thereof, and use the
obtained knowledge to design improved regenerative medicine strategies.
More information:
https://vacancies.maastrichtuniversity.nl/job/Maastricht-PhD-in-Computational-
Modelling-of-Bone-Regeneration-in-Compromised-Environments/1347978357/
-------------------------------------------------------
From: Davoud Mirzaei davoud.mirzaei@it.uu.se
Date: December 10, 2025
Subject: PhD position in Scientific Computing and Quantum Physics at Uppsala University, Sweden
Dear Colleagues,
A fully funded PhD position is available at the Division of Scientific Computing,
Uppsala University. The candidate will design scalable numerical methods for
quantum master equations, implement high-performance simulations, and help
build open source tools for large-scale spin-system modeling.
Vacancy and application link:
https://uu.varbi.com/what:job/jobID:884203/
For further questions, contact davoud.mirzaei@it.uu.se
I would appreciate it if you could share this with those interested candidates.
Best regards,
Davoud Mirzaei
-------------------------------------------------------
From: Will Pazner pazner@pdx.edu
Date: December 10, 2025
Subject: Postdoc opening in Computation- and Data-Enabled Science at Portland State University
We invite applications for a postdoctoral scholar position in the NSF-funded
Research and Training Group (RTG) in Computation- and Data-Enabled Science
(CADES) at Portland State University’s Fariborz Maseeh Department of
Mathematics. The CADES RTG spans three research areas: (i) numerical
techniques for partial differential operators, (ii) data-intensive statistical
learning, and (iii) optimization methods for data science. Candidates whose
doctoral research intersects at least one of these areas and who wish to gain
experience in the others are encouraged to apply.
NSF requires RTG postdocs to be U.S. citizens, nationals, or permanent
residents. Evaluation of applications begins January 30, 2026, and continues
until the position is filled. The proposed start date is September 16, 2026, with
flexibility to start earlier depending on candidate and project needs. The initial
appointment extends through April 30, 2027, with the possibility of extension.
For more details, see the full job posting at:
https://jobs.hrc.pdx.edu/postings/48598
-------------------------------------------------------
From: Charley Denton cdenton@aimsciences.org
Date: December 10, 2025
Subject: Contents, AIMS New Volume: CPAA Vol. 26
Communications on Pure and Applied Analysis
Volume: 26
February 2026
https://www.aimsciences.org/cpaa/article/2026/26/0
The Kato-Beurling theorem for integrated resolvent families
Chen-Yu Li
Quantitative estimates for time-discrete tracking models on Riemannian
manifolds
Hyunjin Ahn, Seung-Yeal Ha and Seungjun Lee
Strong stabilization for a coupled Schrödinger system equation with internal
fractional damping
Octavio V. P. Villagrán and Mauro L. Santos
Reachability for multiagent control systems via Lyapunov functions
Giulia Cavagnari and Marc Quincampoix
Stochastic logarithmic Schrödinger equations driven by Lévy noise
Jiahui Zhu and Jianliang Zhai
Blowup criterion for the compressible non-isentropic micropolar fluid equations
in 2D bounded domains
Ruoyi Wei and Xin Zhong
Read more articles here:
https://www.aimsciences.org/cpaa/article/2026/26/0
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From: Ali R. Soheili soheili@um.ac.ir
Date: December 09, 2025
Subject: Contents, Iranian J Numerical Analysis and Optimization, 15 (4)
We are pleased to announce that the latest issue of the Iranian
Journal of Numerical Analysis and Optimization (Volume 15, Issue 4,
December 2025) is now available online.
The Iranian Journal of
Numerical Analysis and Optimization (IJNAO) is indexed in Scopus,
has no page charges, and publishes original papers of high
scientific value in all areas of numerical analysis and
optimization. All research articles accepted and published by IJNAO
are immediately freely available online for reading, downloading,
and sharing, without any subscription charges or registration
barriers.
Further information is available on the website:
https://ijnao.um.ac.ir/
1. A study on efficient chaotic modeling
via fixed-memory length fractional Gauss maps
A. Bellout; R.
Bououden; S.E.I. Bouzeraa; M. Berkal
2. Utilizing the Hybrid
approach of the Ramadan group transform and accelerated Adomian
method for solving nonlinear integro-differential equations
M.A.
Ramadan; M.M.A. Mansour; H.S. Osheba
3. Efficient numerical
schemes on modified graded mesh for singularly perturbed parabolic
convection-diffusion problems
K.K. Sah
4. A new exact solution
method for bi-level linear fractional problems with multi-valued
optimal reaction maps
F.Y. Feleke; S.M. Kassa
5. An adaptive
scheme for the efficient evaluation of integrals in two-dimensional
boundary element method
R. Si Hadj Mohand; Y. Belkacemi; S. Rechak
6. Numerical solution of nonlinear diffusion-reaction in porous
catalysts using quantum spectral successive linearization method
S.
Abbasbandy
7. Solving Bratu equations using Bell polynomials and
successive differentiation
N.A. Gezer
8. Comparative evaluation of
large-scale many objective algorithms on complex optimization
problems
R. Chaudhary; A. Prajapati
9. Combining an interval
approach with a heuristic to solve constrained and engineering
design problems
D. Sharma; S.D. Jabeen
10. A quadrature method for
Volterra integral equations of the first kind
S.A. Hosseini
11.
Nonlinear optimization of revenue per unit of time in discrete
Dutch auctions with risk-aware bidders
R.A. Shamim; M.K. Majahar
Ali
12. On overcoming Dahlquist's second barrier for$A$-stable
linear multistep methods
G. Hojjati; S. Fazeli; A. Moradi
13.
Portfolio optimization: A mean-variance approach for non-Markovian
regime-switching markets
R. Keykhaei
14. Approximation of
functions in Hölder's class and solution of nonlinear Lane–Emden
differential equation by orthonormal Euler wavelets
H.C. Yadav; A.
Yadav; S. Lal
15. Mathematical modeling of an optimal control
problem for combined chemotherapy and anti-angiogenic cancer
treatment protocols
Y.A. Mahaman Nouri; S. Bisso
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End of Digest
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