Today's Editor:
David S. Bindel
Cornell University
bindel@cornell.edu
Today's Topics:
Passing of Nick Maclaren
New software: quaternion-monoid-algebra 0.3.0
New Book, Numerical Solutions to Partial Differential Equations with Finite Difference Methods
Fourth Workshop on Soliton Theory, Nonlinear Dynamics and Machine Learning, 24-29 Aug 2026
Reminder early registration deadline DRWAA26, 31 Aug-04 Sep 2026
Workshop on structured optimization, 29 Sep-1 Oct 2026
First UK Conference on Inverse Problems, University of Leeds, 22-23 March 2027
Head of a Research Group (f/m/d) (Ref. 26/16) at the Weierstrass Institute, Germany
W3 Professorship in Mathematical Modelling, Clausthal University of Technology, Germany
Tenure-track Lerheden Assistant Professor position in Applied Mathematics at KTH, Sweden
Open position for a specialist in sparse linear algebra, MOSEK, Denmark or world-wide
Post Doc Position in Brazil
Postdoc Position in mathematical optimization at University of Graz, Austria
Two Postdoctoral Research Positions (f/m/d) in mathematical statistics, WIAS, Germany
PhD fellowship, PharMetrX program, Potsdam/Berlin, Germany
Contents, Bulletin of Computational Applied Mathematics, Vol.13, N1
See this issue of NA Digest on the web at:
https://na-digest.coecis.cornell.edu/na-digest-html/26/v26n27.html
Submissions, FAQs, and archives:
https://na-digest.coecis.cornell.edu/
-------------------------------------------------------
From: Damian McGuckin damianm@esi.com.au
Date: June 29, 2026
Subject: Passing of Nick Maclaren
I sadly/belatedly report that Nick (Nicholas Malcolm) Maclaren,
formerly at the University of Cambridge, died just before Christmas
2025 aged 77.
A mathematician and statistician, Nick had worked in computing all
his career, starting in 1966 on a Mercury Meteor. In the latter
half of his career, this was dominated by high-performance and
scientific computing, including the development of parallelism and
language standards and some open source projects. He taught
practical software engineering to a very broad spectrum of
scientists including engineers and mathematicians at the University
of Cambridge, continuing that post-retirement through the
University of Warwick.
Some talks by those at his funeral remembered that Nick wanted
there to be a rigorous theoretical foundation to our parallel
programming. He hated the possibility of a code working almost
always but failing sometimes. This is all too easy when you have
parts of the calculation being done on independent processors, with
each needing to look at another's data from time to time to be sure
that the other processor has had time to do the work needed.
Nick also made contributions to the NAG libraries in many ways,
perhaps the most significant of which was his testing expertise to
ensure pseudo-random number generators were portable to vastly
different machine architectures.
He was on the Fortran panel for two decades and was actively
involved in ISO/IEC JTC1 SC22 programming language standardization
activities: WG5 (Fortran) from 2008 to 2016 as well as WG14 (C),
WG21 (C++), WG15 (POSIX) and WG2 (Pascal) before that. John Reid
worked with Nick on WG5 and he particularly noted that Nick's
insights on parallel programming were very helpful when coarrays
were being finalized
Some of us interacted with Nick in the context of the IEEE 754
standard, a common thread of interest in those working groups. Some
of the insightful improvements to IEEE 754 he suggested decades ago
have finally started to gain real traction just at the time of his
passing.
Bjarne Stroustrup, who in Principles and Practice in C++ (2nd
edition), thanked Nick for the many detailed comments on the
student exercises in the first edition of his book, on hearing of
his passing said that "Nick was a great guy. We talked about much,
mostly numerics where he was an expert. He even wrote and taught a
C++ course."
-------------------------------------------------------
From: Cody Churchwell rockvillecodymaryland@gmail.com
Date: July 02, 2026
Subject: New software: quaternion-monoid-algebra 0.3.0
quaternion-monoid-algebra is an MIT-licensed Python library defining
a compositional algebra (a monoid: closed, associative, two-sided
identity) over fixed-width packets carrying a unit quaternion, small
symbolic fields, and a scale factor.
Version 0.3.0 adds formal topology notes with machine-checked proofs:
composing a configuration with a common packet preserves Vietoris-Rips
persistence diagrams exactly (unit-quaternion translations are
isometries of the projective metric), and iterated composition is an
isometric development with a subadditive window bound. A vectorized
NumPy batch API composes ~3.6M packets/sec on one CPU core using an
O(log N)-depth tree reduction; a CuPy GPU port is included. Validated
on the TUM RGB-D and EuRoC MAV ground-truth motion streams.
Applications: composable agent state evolution, multi-source state
composition, and algebraic audit-chain verification.
Code: https://github.com/consigcody94/quaternion-monoid-algebra
Archive: https://doi.org/10.5281/zenodo.20301069
Feedback and prior-art pointers are very welcome.
Cody Churchwell, Independent Researcher
-------------------------------------------------------
From: Zhi-Zhong Sun zzsun@seu.edu.cn
Date: June 26, 2026
Subject: New Book, Numerical Solutions to Partial Differential Equations with Finite Difference Methods
Numerical Solutions to Partial Differential Equations with Finite
Difference Methods
Finite difference methods remain a fundamental tool for the numerical
solution of partial differential equations in science and engineering.
This book presents a systematic introduction to finite difference
schemes for classical linear and nonlinear evolution equations,
fractional PDEs, and related boundary value problems, with detailed
attention to stability, convergence, and energy analysis.
Topics include two-point boundary value problems, elliptic, parabolic,
and hyperbolic equations, alternating direction implicit methods for
high-dimensional evolution equations, fractional diffusion-wave
equations, the Schrodinger equation, Burgers' equation, and the
Korteweg-de Vries equation. Numerical examples are provided to
illustrate the algorithms and verify the theoretical results.
2026 / XIV+463 pages / Hardcover / 978-981-95-5562-8 / Springer Asia
Pacific Mathematics Series, Vol. 9 / Springer Singapore
Bookstore link:
https://link.springer.com/book/10.1007/978-981-95-5563-5
-------------------------------------------------------
From: Stoyan Mishev stoyan.mishev@iaps.institute
Date: June 27, 2026
Subject: Fourth Workshop on Soliton Theory, Nonlinear Dynamics and Machine Learning, 24-29 Aug 2026
TThe Fourth Hybrid Workshop on Soliton Theory, Nonlinear Dynamics and
Machine Learning gathers scientists and specialists from 24th to 29th
of August, 2026 at the Black Sea in the town Tsarevo, Bulgaria. The
discussed topics are in the following fields:
- non-linear dynamics;
- machine learning;
- differential equations;
- control theory;
- theoretical and mathematical physics.
The meetings website can be reached at
https://indico.iaps.institute/e/solitons-nonlinear-machine-learning-2026.
The workshop proceedings will be published in the Journal of Physics:
Conference Series. The reports can be presented both on-site in
Tsarevo or online. Please reach out to the organizers for more
information.
-------------------------------------------------------
From: Giacomo Elefante giacomo.elefante@usi.ch
Date: June 30, 2026
Subject: Reminder early registration deadline DRWAA26, 31 Aug-04 Sep 2026
Dear Colleagues,
This is a gentle reminder. The registration for the Dolomites
Research Week on Approximation and Applications (DRWAA26) is open.
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, IT)
- Prof. Michael Multerer (Università della Svizzera Italiana, CH)
Planned parallel sessions/working groups:
- 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
-------------------------------------------------------
From: Elisa Riccietti elisa.riccietti@ens-lyon.fr
Date: July 02, 2026
Subject: Workshop on structured optimization, 29 Sep-1 Oct 2026
Dear colleagues,
We are pleased to announce the workshop STOP 2026 – STructured
OPtimization for Inverse and Learning Problems, which will take place
at ENS de Lyon (France) from 29th September to 1st October 2026.
The workshop aims to bring together researchers working on structured
and large-scale optimization, with a particular focus on the
development of efficient algorithms exploiting the structure of the
problems and their applications to inverse problems, imaging,
scientific machine learning, and related areas. Topics include, among
others:
Inverse problems
Multilevel optimization
Stochastic optimization
Scientific machine learning
Matrix decompositions
Reduced- and mixed-precision algorithms
Participation is free of charge (registration required). Submission
are accepted until the 1st of September.
Prior to the workshop, on 28th September, Elisa Riccietti will give
her Habilitation (HdR) defence entitled "Exploiting Hierarchical
Structures in Numerical Optimization".
More information, including the list of invited speakers and practical
details for the workshop, is available on the conference website:
https://stop.sciencesconf.org/
We would be grateful if you could share this announcement with
colleagues and students who might be interested.
We hope to welcome many of you in Lyon!
Best regards,
The STOP 2026 Organizing Committee
-------------------------------------------------------
From: Daniel Lesnic D.Lesnic@leeds.ac.uk
Date: June 27, 2026
Subject: First UK Conference on Inverse Problems, University of Leeds, 22-23 March 2027
The main aim of the Conference is for all researchers in the UK (both
senior academics, research staff and postgraduate students) and
elsewhere, who are working on Inverse Problems to meet in an informal
way to present their current research work. It is intended that
Conference Proceedings will be published (with ISB number) and
distributed at the conference. Only the papers presented at the
conference by registered authors will be included in the conference
proceedings. There is also the option of conference presentation or
attendance only, in case a participant does not wish to submit a paper
for publication in the conference proceedings.
Scientific Committee: Simon Arridge (UCL), Carola Bibiane-Schonlieb
(Cambridge), Romina Gaburro (Limerick), Paul Ledger (Leicester),
Daniel Lesnic (Leeds), Bill Lionheart (Manchester) and Marco Marletta
(Cardiff).
Local Organising Committee: Daniel Lesnic and Nataliia Kinash
Cost: The purpose of this series of conference is to keep the
conference fees accessible and as low as possible (approx. £80-100) to
top-up expenses related to conference proceedings publication, room
booking, lunches and conference dinner. Participants will need to make
their own arrangements for travel and accommodation.
Deadlines:
1st October 2026 – Abstract (approx. 100 words) submission (by email
to D.Lesnic@leeds.ac.uk)
15th October 2026 - Notification of acceptance of abstracts
15th December 2026 – Submission of full paper for possible publication
in the Conference Proceedings (if desired)
15th January 2027 – Notification of acceptance/revision of papers
15th February 2027 – Final papers due
1st March 2027 – Deadline for payment of the conference registration fee
Contacts: Professor Daniel Lesnic (D.Lesnic@leeds.ac.uk), Dr Nataliia
Kinash (N.Kinash@leeds.ac.uk)
Department of Applied Mathematics, University of Leeds, Leeds LS2 9JT, UK
-------------------------------------------------------
From: Weierstrass Institute michelle.bolinger@wias-berlin.de
Date: July 01, 2026
Subject: Head of a Research Group (f/m/d) (Ref. 26/16) at the Weierstrass Institute, Germany
WIAS invites applications for the position of Head of a Research Group
(f/m/d (Ref. 26/16) in the Weierstrass Group on “Data-driven Control
and Optimization" to be filled at the earliest possible date.
Research focus: data‑driven control and optimization with applications
in quantitative biomedicine, modern materials, and sustainable energy.
Candidate profile: early‑career scientist with a PhD and an excellent
record in applied mathematics, especially optimization. Preference for
a profile combining theory and algorithms for PDE‑constrained
optimization with mathematically founded AI / machine‑learning
methods.
Terms: full‑time (39 hrs/week), initial 3‑year appointment (TVöD Bund)
with possible renewal after positive evaluation.
Resources: funding for research staff, dedicated budget for travel and
visiting researchers; integration into WIAS’s flexible research
platform.
The advertisement is open with immediate effect and will remain open
until the position will be filled.
Application details and submission instructions can be found here:
https://short.sg/j/65552381
Further information: https://www.wias-berlin.de/index.jsp?lang=1
-------------------------------------------------------
From: Philipp Öffner philipp.oeffner@tu-clausthal.de
Date: June 30, 2026
Subject: W3 Professorship in Mathematical Modelling, Clausthal University of Technology, Germany
The Clausthal University of Technology is advertising a W3
Professorship in Mathematical Modelling (f/m/d) at the Institute of
Mathematics. The professorship focuses on research and teaching in
the development and analysis of mathematical models, in particular in
the area of partial differential equations.
The future holder of the position is expected to actively contribute
to shaping the research profile of the institute and to participate in
the further development of degree programmes, especially in applied
mathematics. Further information and the full job advertisement can
be found here:
https://karriere.tu-clausthal.de/jobposting/93b3c2cf2bcc487bdd2a8af29660f59080ffd9430?ref=homepage
We welcome everybody for applications.
-------------------------------------------------------
From: Jennifer Ryan jryan@kth.se
Date: June 29, 2026
Subject: Tenure-track Lerheden Assistant Professor position in Applied Mathematics at KTH, Sweden
Tenure-track Lerheden Assistant Professor, Department of Mathematics,
KTH Mathematics with specialization in Applied Mathematics
The Math department at KTH has an opening for a tenure-track Lerheden
faculty position in Applied Mathematics at KTH. The position is in
foundational mathematical research motivated by applications in one or
several of the areas Stochastic control, Optimization under
uncertainty, Inverse problems, and numerical methods within these
areas. The position includes a starting package for hiring one PhD
student.
Application deadline: September 17, 2026.
https://www.kth.se/lediga-jobb/936948?l=en
Candidates who received PhD during the last 7 years (not including
time for parental leave etc.) are prioritized. Applications require
the KTH CV template:
https://www.kth.se/en/om/jobba-pa-kth/cv-mall-for-anstallning-och-befordran-av-larare-kth-1.471907
-------------------------------------------------------
From: Jens Schulz jens.schulz@mosek.com
Date: July 03, 2026
Subject: Open position for a specialist in sparse linear algebra, MOSEK, Denmark or world-wide
At MOSEK, we are looking for a candidate interested and experienced in
developing software for large-scale sparse linear algebra
problems. The candidate's primary task will be to improve the
efficiency of the parallel sparse Cholesky computation, exploit GPU
architectures and enhance our first-order methods. See here for more
information: https://www.mosek.com/about/career-options/
We recommend to apply if you have proven records for the following:
- Excellent programming skills in C or C++.
- Deep technical proficiency with sparse numerical linear algebra is a
must-have.
- Expertise in working with e.g., oneAPI TBB or OpenMP to implement
parallel/multi-threaded programs
- Familiarity with the usage of BLAS and CUDA libraries for solving
linear algebra problems
- Location: Copenhagen Office or remote world-wide
Follow the job description and announcements on our LinkedIn:
https://www.linkedin.com/company/205193
-------------------------------------------------------
From: Jose A Cuminato jacuminato@gmail.com
Date: June 26, 2026
Subject: Post Doc Position in Brazil
Title: Hemodynamic Effects of Artificial Aortic Valves on the
Formation and Persistence of Swirling Blood Flow
The Institute of Mathematics and Computer Science (ICMC-USP) invites
applications for a postdoctoral fellowship in Computational Fluid
Dynamics.
Blood flow in the ascending aorta naturally develops swirling
structures due to the interaction between ventricular contraction,
aortic valve geometry, and vascular anatomy. These flow patterns
contribute to efficient blood transport, reduced energy dissipation,
and favorable wall shear stress distributions. Alterations in
swirling flow have been linked to several cardiovascular diseases.
Although prosthetic aortic valves are designed to restore forward flow
and reduce pressure gradients, their ability to reproduce the
physiological hemodynamic environment remains unclear. Differences in
swirling flow may affect energy losses, blood-cell damage,
thrombogenic risk, and long-term vascular remodeling.
This project will investigate how different prosthetic valve designs
influence the generation and persistence of swirling blood flow in the
ascending aorta. The objective is to improve the understanding of the
relationship between valve design and cardiovascular hemodynamics,
contributing to the development of more efficient and physiologically
compatible valve prostheses. The research will be carried out in
collaboration with FECFAU-Unicamp and InCor-USP, using C++
implementations based on the LS-DYNA and IBAMAR framework.
Desired qualifications: degree in Engineering, Applied Mathematics, or
Applied Physics; PhD in Computational Mechanics with emphasis on
fluid-structure interaction; experience in numerical modelling,
computational simulation, and C++ programming; willingness to work in
a multidisciplinary research environment.
To apply, send your CV and a recommendation letter to
jacuminato@gmail.com before July 31st 2026.
-------------------------------------------------------
From: Silvia Lebosi silvia.lebosi@uni-graz.at
Date: July 03, 2026
Subject: Postdoc Position in mathematical optimization at University of Graz, Austria
The University of Graz is offering following Postdoc Position at the
Dept. of Mathematics and Scientific Computing: Responsibilities:
• Independent research and publication activities in the field of
mathematical optimization with focus on nonsmooth optimization,
stochastic optimization, or optimal control of partial differential
equations
• Participation in interdisciplinary cooperation projects and
third-party funded projects, in particular the SFB MR-DYNAMO
• Independent teaching of courses in the field of applied mathematics,
supervision of students and holding of examinations
• Participation in organizational and administrative matters
• Possibility to work on a relevant habilitation or qualification
for a professorship
Profile:
• Doctoral degree in a mathematical branch of study
• Solid knowledge of one of the following fields: infinite-
dimensional optimization, nonsmooth optimization, or optimal control
• Experience in numerical realization of optimization algorithms
(desirable)
• Ability for integration into the department’s research profile and
in particular into interdisciplinary cooperation projects (SFB
MR-DYNAMO)
• Very good command of English
• Ability to teach in German (after a transition period of 2 years)
• Ability to work independently
• Didactic aptitude for independent teaching
• Capacity for teamwork, organizational talent and ability to
communicate
Application Documents
• Specific letter of motivation
• Academic CV including list of relevant publications
• Letter of reference
We offer an annual gross salary of € 70,200.20 for a fulltime
position.
URL for detailed information:
https://jobs.uni-graz.at/de/jobs/c4167145-197f-eb8f-d181-69f083e5e40d?preview=true
-------------------------------------------------------
From: Weierstrass Institute michelle.bolinger@wias-berlin.de
Date: July 01, 2026
Subject: Two Postdoctoral Research Positions (f/m/d) in mathematical statistics, WIAS, Germany
WIAS invites applications for two Postdoctoral Research Position
(f/m/d) in mathematical statistics (Ref. 26/10) in the Research Group
"Stochastic Algorithms and Nonparametric Statistics" to be filled by
September 1, 2026.
Employer: Weierstrass Institute for Applied Analysis and Stochastics
(WIAS), part of Forschungsverbund Berlin e.V. (Leibniz Association).
Position: Two Postdoctoral Research Positions in Mathematical
Statistics (Ref. 26/10) in the Research Group “Stochastic Algorithms
and Nonparametric Statistics.”
Start/Deadline: To be filled by 1 September 2026.
Research focus: statistical theory of machine learning, stochastic
algorithms/optimization, optimal transport, and stochastic analysis
(e.g. finance).
Responsibilities: independent and collaborative research,
publications, presentations at seminars/conferences, and participation
in funding acquisition.
Candidate profile: PhD with a strong track record in mathematical
statistics and/or ML theory; stochastic analysis is a plus; alignment
with the group’s research preferred.
Terms: full‑time (39 h/week); initial appointment of 1 or 2 years
(extension possible subject to funding); salary according to TVöD
Bund.
Application details and submission instructions can be found here:
https://short.sg/j/65248656
Further information: https://www.wias-berlin.de/index.jsp?lang=1
-------------------------------------------------------
From: Cornelia Boehnstedt contact@pharmetrx.de
Date: July 01, 2026
Subject: PhD fellowship, PharMetrX program, Potsdam/Berlin, Germany
The Graduate Research Training Program PharMetrX: Pharmacometrics &
Computational Disease Modelling is an interdisciplinary PhD program
bridging pharmacy and mathematics. PharMetrX aims at understanding
the drug-patient-disease interaction by analysing data of drug
concentration, effect & disease profiles of pre-/clinical trials
and of therapeutic care by developing and applying pharmacometric
(i.e. PK, PD, disease) mathematical & statistical models.
We are currently inviting applications to enrol in the PharMetrX
Research+ Program or the PharMetrX Training+ Program.
The PharMetrX Research+ Program (Research & Training & Network)
comprises an excellent research environment in the vibrant Berlin/
Potsdam area, fascinating and innovative research projects in a
highly relevant field, truly transdisciplinary working groups and
supervision, an individual mentorship from one of the associated
industry partner consortium, a specifically tailored training
program of compact academic and industry modules, a network of 133
peers and a competitive 3.5 years fellowship.
The PharMetrX Training+ Program (Training & Network) offers a
specifically tailored training program of compact academic and
industry modules that convey the foundations in pharmacokinetics &
pharmacodynamics, systems biology, statistics, methodological
approaches of modelling & simulation etc. as well as a network of
133 peers. It is open for PhD students who have started their PhD
since mid-September 2025 in the field of pharmacometrics or will do
so soon.
Both programs are open to candidates with a university degree in
pharmacy, pharmaceutical sciences, mathematics/statistics,
bioinformatics, life sciences or medicine: see https://
www.PharMetrX.de and https://www.linkedin.com/company/pharmetrx.
Deadline for applications: 06 September 2026.
Start of Module Curriculum: March 2027
PharMetrX is a joint program of Freie Universität Berlin and
University of Potsdam, supported by a consortium of global
research-driven pharmaceutical companies.
-------------------------------------------------------
From: Saul Buitrago Boret sssbuitrago@gmail.com
Date: June 26, 2026
Subject: Contents, Bulletin of Computational Applied Mathematics, Vol.13, N1
Table of Contents
Bulletin of Computational Applied Mathematics, Vol.13, N1
http://www.compama.co.usb.ve/table-of-contents
https://sites.google.com/usb.ve/bullcompama/table-of-contents
Local fractional derivative with respect to g
Guillermo Alexis Albuja-Proaño, L. Balseca-Campaña, S. Cedeño-Mendoza,
Julio Cesar Galarraga-Calero, J. Romero-Quinaluisa
Hermite-Hadamard's Inequalities for Norm Linear Space Convex Functions
via Fractional Type Inequalities
Ashok Kumar Sahoo, Bibhakar Kodamasingh, Prasanta Kumar Raut,
Binod Chandra Tripathy
Ultimate Boundedness Criteria for Third-Order Nonlinear Differential
Equations
Daniel Oluwasegun Adams, Juan E. Nápoles Valdés
Generalized k-center Steiner Wiener index of a graph
Bheemanna Sarveshkumar, Basavaraju Chaluvaraju, Deena Sunil Sharanappa
Dynamic of an irregular orthotropic micropolar semi-infinite media
under the action of moving load
Anup Saha, Sandip Kumar Das
A microbiological application of new types of bi-ideal nano continuities
Kamalpreet Kaur, Asha Gupta
On Deferred Statistical Convergence of order $\alpha$ in Neutrosophic
Normed Spaces
Shyamal Debnath, Santonu Debnath, Chiranjib Choudhury
Simpson-like type inequalities for q-differentiable convex functions
via quantum calculus
Djaber Chemseddine Benchettah, Meriem Merad, Wedad Saleh,
Badreddine Meftah, Abdelghani Lakhdari
k^{th}-eccentricity index of some graphs
Veena Mathad Parvathi, Ismail Naci Cangul
Three-step iterative scheme for convergence and stability of a
generalized set-valued mixed variational inequality problem
Khalid Fayaz, Mudasir A. Malik, Mohd Iqbal Bhat, Mahak Majeed
-------------------------------------------------------
End of Digest
**************************