Today's Editor:
Alex Townsend
Cornell University
townsend@cornell.edu
Today's Topics:
SIAM UKIE prize for best Student Talk in Biennial NA Conference
Scotch v7.0.8 / ScotchPy v1.0.0 / The Scotch Consortium
New Book: Linear Algebra, Data Science, and Machine Learning
Report on Sparse Days and change of date for Saint-Girons V
Conference FoCM 2026 in Vienna, Austria - July 8-18th
Call for papers: Gulf International Conference on Applied Mathematics (GICAM2025)
PostDoc position in Numerical Analysis/ML and TU Wien/University of Vienna
PhD Position in Scalable Solvers for Multiscale-Multiphysics Problems in Floating Solar Farms, TU Delft, Netherlands
Contents, Electronic Transactions on Numerical Analysis (ETNA)
Contents, Computational methods in applied mathematics 2025(3)
See this issue of NA Digest on the web at:
https://na-digest.coecis.cornell.edu/na-digest-html/25/v25n28.html
Submissions, FAQs, and archives:
https://na-digest.coecis.cornell.edu/
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From: Gabriel R. Barrenechea gabriel.barrenechea@strath.ac.uk
Date: July 07, 2025
Subject: SIAM UKIE prize for best Student Talk in Biennial NA Conference
Dear all,
the 30th edition of the Biennial Conference in Numerical Analysis took place during June 24-27. During the Conference, as it has been the tradition, SIAM UKIE sponsored the SIAM UKIE Best Student Talk prize. The prize committee consisted of Zhaonan Dong (INRIA, Paris), Dante Kalise (Imperial College, London), Natalia Kopteva (University of Limerick, Ireland), and Alison Ramage (University of Strathclyde, Scotland). The committee met once the conference finished, and decided to award the 3 prices to:
Astrid Herremans, KU Leuven,
Felix Krumbiegel, Karlsruhe IT,
Katherine Mackenzie, University of Strathclyde.
Congratulations to the winners!
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From: François PELLEGRINI francois.pellegrini@u-bordeaux.fr
Date: July 10, 2025
Subject: Scotch v7.0.8 / ScotchPy v1.0.0 / The Scotch Consortium
We announce the release, as libre/free software, of revision 7.0.8
of the SCOTCH and PT-SCOTCH software package and library for
sequential and parallel graph partitioning, sequential and parallel
graph clustering, sequential mesh/hypergraph partitioning and static
mapping, and sequential and parallel sparse matrix block ordering.
This revision provides some improvements of the Make and CMake
compilation chains, regarding the handling of suffixes and prefixes
for the MeTiS compatibility library.
https://gitlab.inria.fr/scotch/scotch
We are proud to announce the release, as libre/free software, of
ScotchPy, the official Python wrapper for Scotch and PT-Scotch.
ScotchPy is based on NumPy, and mpi4py is used as a support for
PT-Scotch.
https://codeberg.org/fpellegr/scotchpy
The first members of the Scotch consortium are now on board. To
date, the Consortium agreement is only in French, but its
translation into English is under way. Non-French-speaking entities
willing to join the Consortium will soon be able to do it. Please
contact us if you are interested.
Among the benefits brought by joining the consortium:
- Incentive to the existence of a long-term support for your strategic
uses;
- Access to early releases;
- Meetings with the architect and developers;
- Dedicated hours of support;
- Participation in the software roadmap.
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From: Peter Olver olver@umn.edu
Date: July 05, 2025
Subject: New Book: Linear Algebra, Data Science, and Machine Learning
A new undergrad level textbook, Linear Algebra, Data Science, and Machine
Learning by Jeff Calder and Peter J. Olver, Springer Undergraduate Texts in
Mathematics and Technology, will be available August, 2025.
This text provides a mathematically rigorous introduction to modern methods
of machine learning and data analysis at the advanced
undergraduate/beginning graduate level. There is a strong focus on learning
how and why algorithms work, as well as developing facility with their practical
applications. Apart from basic calculus, the underlying mathematics — linear
algebra, optimization, elementary probability, graph theory, and statistics — is
developed from scratch in a form best suited to the overall goals. In particular,
the wide-ranging linear algebra components are unique in their ordering and
choice of topics, emphasizing those topics that are used in contemporary
machine learning and data analysis. To familiarize the reader with how the
algorithms are used in real world applications, Python notebooks are included
to illustrate the computational techniques and exercises.
The book can be used in a junior or senior level course for students majoring in
mathematics with a focus on applications as well as students from other
disciplines who desire to learn the tools of modern applied linear algebra and
optimization. It may also be used as an introduction to fundamental techniques
in data science and machine learning for advanced undergraduate and
graduate students or researchers from other areas, including statistics,
computer science, engineering, biology, economics and finance, and so on.
See
https://www-users.cse.umn.edu/~olver/laml.html
https://link.springer.com/book/9783031937637
for further details.
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From: Iain Duff duff@cerfacs.fr
Date: July 07, 2025
Subject: Report on Sparse Days and change of date for Saint-Girons V
The annual Sparse Days at Cerfacs meeting was held on 2-3 June 2025. It
followed the usual pattern of a 1/2 hour session per talk with no parallel
sessions. As in past Sparse Days, many of the 56 participants were students
(25% in this case) and many more were young career scientists. It was also
great to welcome several of our regular attendees, many quite senior
researchers, so we had our customary blend of young and old which,
combined with some very good and interesting presentations, made for an
excellent event. Although over 50% of the participants were from France,
with half of them from Toulouse, there were a significant number from
other countries, including 7 from the USA. One non-work highlight of the
meeting was the conference dinner held in a local Toulousain restaurant.
In 2026 there will be a meeting in Saint Girons that will expand the topics
from those of Sparse Days to include many more elements of High
Performance Computing with an expected attendance of well over 100. We
thus will not be holding a separate meeting at Cerfacs, but encourage our
regular attendees and all students to register for that meeting. The date for the
meeting in Saint Girons has been changed because of a clash with the ISC
meeting in Hamburg and so will now be held from 30 June to 3 July 2026.
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From: Evelyne Hubert Evelyne.Hubert@inria.fr
Date: July 04, 2025
Subject: Conference FoCM 2026 in Vienna, Austria - July 8-18th
We are delighted to announce that the next Foundations of Computational
Mathematics (FoCM) conference will take place in Vienna, Austria, from July 8
to July 18, 2026, beginning with an evening reception on July 8th.
https://focm2026.univie.ac.at
We warmly invite you to save the date and join us for what promises to be a
vibrant and inspiring event.
The Vienna conference will mark the 11th edition of the FoCM conference
series, which has been held every three years since 1995. Over the years,
FoCM conferences have earned a reputation as a dynamic and congenial
gathering that embraces a broad spectrum of developments in computational
mathematics. Each edition has welcomed several hundred participants from
diverse areas of mathematics that intersect with computation in the broadest
sense.
* Format and Structure *
As in previous editions, mornings will feature plenary lectures, with two talks
each day. Afternoons will be devoted to parallel thematic workshops. In 2026,
there will be 21 workshops, divided across three periods of three days each.
Each period will host seven parallel workshops, scheduled to allow participants
to move easily between them. Participants are encouraged to attend the entire
conference and explore talks across different areas.
* Plenary Speakers *
We are pleased to announce the following plenary speakers:
Beatrice Acciaio (ETH Zurich, Switzerland)
Jennifer Balakrishnan (Boston University, USA)
Jérôme Bolte (Toulouse School of Economics, France)
Maria Chudnovsky (Princeton University, USA)
Charlotte Hardouin (Université de Toulouse, France)
Arno Kuijlaars (KU Leuven, Belgium)
Annika Lang (Chalmers University of Technology, Sweden)
Antonio Lerario (SISSA, Italy)
Lin Lin (University of California, Berkeley, USA)
Klas Modin (University of Gothenburg, Sweden)
Ilaria Perugia (University of Vienna, Austria)
Zuowei Shen (National University of Singapore, Singapore)
Euan Spence (University of Bath, UK)
Gabriele Steidl (Technische Universität Berlin, Germany)
Alex Townsend (Cornell University, USA)
Uli Wagner (Institute of Science and Technology Austria)
Lenka Zdeborová (EPFL, Switzerland)
* Workshops *
The planned workshops for FoCM 2026 are as follows:
July 9–11:
Computational Geometry and Topology
Computational Optimal Transport
Foundations of Numerical PDEs
Foundations of Data Science and Machine Learning
Information-Based Complexity
Real Number Complexity
Special Functions and Orthogonal Polynomials
July 13–15:
Approximation Theory & Computational Harmonic Analysis
Computational Algebraic Geometry
Computational Number Theory
Geometric Integration and Computational Mechanics
Inverse Problems
Random Matrices
Stochastic Computation
July 16–18:
Continuous Optimization
Computational Dynamics
Graph Theory and Combinatorics
Multiresolution and Adaptivity in Numerical PDEs
Numerical Linear Algebra
Quantum Information and Quantum Algorithms
Symbolic Analysis
Each workshop will also feature a poster session, with submission details to be
announced in due course.
We look forward to welcoming you in Vienna in 2026!
Radu Bot, Elena Celledoni, Evelyne Hubert.
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From: Naveed Ahmed ahmed.n@gust.edu.kw
Date: July 06, 2025
Subject: Call for papers: Gulf International Conference on Applied Mathematics (GICAM2025)
We are excited to announce the Gulf International Conference on
Applied Mathematics (GICAM 2025) at GUST, Kuwait.
Dates: November 18–20, 2025
Venue: Gulf University for Science and Technology (GUST), Kuwait
GICAM 2025 will bring together leading experts to discuss recent
advancements in applied mathematics and computational science.
We are honoured to welcome renowned speakers, including:
• Prof. Daniele Boffi (KAUST & Univ. of Pavia, Saudi Arabia & Italy)
• Prof. Siddhartha Mishra (ETH Zurich, Switzerland)
• Prof. Volker John (WIAS Berlin, Germany)
• Prof. Michael Bonsall (Univ. of Oxford, United Kingdom)
• Prof. Ard Louis (Univ. of Oxford, United Kingdom)
• Prof. Jeroen Lamb (Imperial College London, United Kingdom)
• Prof. Lourenço Beirão da Veiga (Univ. of Milano-Bicocca, Italy)
• Prof. Michel Théra (University of Limoges, France)
Publications and Proceedings:
Selected papers will be published in the Springer Nature (open access).
Outstanding contributions (by invitation) will be considered for special issues
in:
• Computers and Mathematics with Applications (CAMWA, Q1)
• Journal of Mathematical Sciences (Q3)
For more details, visit the conference website:
https://www.gust.edu.kw/conference-gicam
For any inquiries, feel free to contact us: 📧 gicam2025@gust.edu.kw
We look forward to seeing you at GICAM 2025 for an exciting exchange
of ideas!
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From: Michael Feischl michael.feischl@tuwien.ac.at
Date: July 10, 2025
Subject: PostDoc position in Numerical Analysis/ML and TU Wien/University of Vienna
We are looking for highly qualified candidates at the interface of numerical
analysis, approximation theory and machine learning. The research project is a
cooperation between the research group “Computational Partial Differential
Equations” at TU Wien (led by Professor Michael Feischl) and the research
group “Mathematical Data Science” at the University of Vienna (led by
Professor Philipp Grohs). The aim of the research is to investigate to what
extent standard proofs in numerical analysis and approximation theory can be
automated by a neural network-driven search over the action space of standard
tools (e.g. Hölder inequalities, Sobolev embeddings, ...). Certain proofs in these
areas require the sophisticated application of known tools in the right order,
which can be laborious for a human to find. Machine-assisted evidence
automation could be a major advance in this field and enable much deeper
questions to be considered in the future. Candidates for this position are
ideally familiar with Lean4 (or a comparable proof assistant) and have a
background in numerical analysis and/or approximation theory. Small axiom
systems that already exist in these fields could serve as a starting point for the
project. The start of the contract is possible from 01.09.2025.
If you are interested, please apply with a CV (including a list of publications,
teaching experience, international presentations, etc.), a brief description of
your research, and a letter of reference to: michael.feischl@tuwien.ac.at
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From: Oriol Colomés j.o.colomesgene@tudelft.nl
Date: July 09, 2025
Subject: PhD Position in Scalable Solvers for Multiscale-Multiphysics Problems in Floating Solar Farms, TU Delft, Netherlands
We're looking for a motivated PhD candidate to develop scalable solvers for
multiscale, multiphysics, and multifidelity simulations in offshore floating solar
farms.
Sharing appreciated!
What you will work on:
- Multiscale models for wind-wave-structure interaction
- Scalable solvers for large scale computing
- Assessment of farm scale effects in floating solar farms
What you will learn/gain:
- Advance scientific computing for a new renewable energy technology
- Work within the CMOE group (www.tudelftcmoe.super.site) at TU Delft
- Collaborate with international research institutions
What you bring:
- Strong background in scientific computing, numerical PDEs, FEM
- Strong coding skills (Julia, Python, C++, HPC libraries)
- Experience/interest in multiphysics or multiscale methods
- Passionate about renewables and/or offshore applications
Apply now – https://lnkd.in/eVhv6aHG
Deadline: 31/07/2025
Based in Delft, Netherlands
Inquiries to Oriol Colomés: j.o.colomesgene@tudelft.nl
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From: Lothar Reichel reichel@math.kent.edu
Date: July 10, 2025
Subject: Contents, Electronic Transactions on Numerical Analysis (ETNA)
Contents, Electronic Transactions on Numerical Analysis (ETNA), vol. 61, 2024: Special volume dedicated to Giuseppe Rodriguez on his 60th birthday.
Note: ETNA accepts software publications as well as historical papers.
Preface, pages vi-viii
D. A. Bini, Numerical computation of the roots of Mandelbrot polynomials: an experimental analysis, pp. 1-27
Software is available with this paper.
D. Mezzanotte and D. Occorsio, Simultaneous approximation of Hilbert and
Hadamard transforms on bounded intervals, pp 28-50
D. Lj. Djukic, L. Fermo, and R. M. Mutavdzic Djukic, Averaged Nystrom
interpolants for bivariate Fredholm integral equations on the real positive
semi-axes, pp. 51-65
A. Buccini and L. Reichel, Software for limited memory restarted l^p-l^q
minimization methods using generalized Krylov subspaces, pp. 66-91
Software is available with this paper.
J. Tomanovic, Error estimates for Gauss-type quadrature rules for
variable-sign weight functions, pp. 92-104
P. Diaz de Alba and F. Pes, A two-dimensional integral model of the first-kind for LIN electromagnetic data inversion, pp. 105-120
C. F. Borges and L. Reichel, Computation of Gauss-type quadrature rules,
pp. 121-136
Software is available with this paper.
B. Buonomo, E. Messina, C. Panico, and A. Vecchio, A stable numerical method for integral epidemic models with behavioral changes in contact patterns, pp. 137-156
D. Lj. Djukic, R. M. Mutavdzic Djukic, A. V. Pejcev, L. Reichel,
M. M. Spalevic, and S. M. Spalevic, Internality of two-measure-based
generalized Gauss quadrature rules for modified Chebyshev measures,
pp. 157-172
P. Diaz de Alba, C. Estatico, M. Lazzaretti, and G. Rodriguez, Linear FDEM
subsoil data inversion in Banach spaces, pp. 173-195
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From: Carsten Carstensen cc@math.hu-berlin.de
Date: July 09, 2025
Subject: Contents, Computational methods in applied mathematics 2025(3)
Dear Editor,
Please consider submission of the following article to NA Digest.
Thank you in advance.
Carsten Carstensen,
Editor-in-Chief of CMAM
*****************************************************
COMPUTATIONAL METHODS IN APPLIED MATHEMATICS (2025), No 3
Special Issue Dedicated to the 8th Chinese–German Workshop on
Computational and Applied Mathematics,
Guest Editors: Malte Braack, Jun Hu, Guido Kanschat and Xuejun Xu
8th Chinese–German Workshop on Computational and Applied Mathematics
Malte Braack, Jun Hu, Guido Kanschat, Xuejun Xu
Contact Problems in Porous Media
Lothar Banz, Fleurianne Bertrand
Mapped Coercivity for the Stationary Navier–Stokes Equations and Their Finite
Element Approximations
Roland Becker, Malte Braack
Super-Localized Orthogonal Decomposition Method for Heterogeneous Linear
Elasticity
Camilla Belponer, José C. Garay, Peter Munch, Daniel Peterseim
A Note on the Quasi-Best Approximation Constant
Carsten Carstensen
Guaranteed Upper Bounds for Iteration Errors and Modified Kačanov Schemes
via Discrete Duality
Lars Diening, Johannes Storn
A Mixed Finite Element Method for Coupled Plates
Jun Hu, Zhen Liu, Rui Ma, Ruishu Wang
Asymptotic Preserving Semi-Implicit Scheme for the Shallow Water Equations
with Non-Flat Bottom Topography and Manning Friction Term
Guanlan Huang, Sebastiano Boscarino, Tao Xiong
Computing Both Upper and Lower Eigenvalue Bounds by HDG Methods
Qigang Liang, Xuejun Xu, Liuyao Yuan
High Order Energy Stable Local Discontinuous Galerkin Methods for Camassa–
Holm–Novikov Equations
Jinyang Lu, Yan Xu
Tensor-Product Vertex Patch Smoothers for Biharmonic Problems
Julius Witte, Cu Cui, Francesca Bonizzoni, Guido Kanschat
High-Order Accurate Structure-Preserving Finite Volume Scheme for Ten-
Moment Gaussian Closure Equations with Source Terms: Positivity and Well-
Balancedness
Zhihao Zhang, Jiangfu Wang, Huazhong Tang
A Staggered Discontinuous Galerkin Method for the Simulation of Wave
Propagation in Poroelastic Media
Lina Zhao
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End of Digest
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