Today's Editor:
Alex Townsend
Cornell University
townsend@cornell.edu
Today's Topics:
New software: decoint - IEEE 1788.1-2017 Interval Arithmetic in Python
New book, Numerical Mathematics, Vol. 1
Workshop: Optimization with Partial Differential Equations, Wuerzburg, Sept 16-18 2026
INdAM Workshop "Structure-preserving approximation of evolutive problems", Sep 2026
SIAM Central States Section Annual Meeting, Oct 2026
Tenure Track Position in Data Driven Partial Differential Equations, University of Vienna
PhD position in Lancaster combining at Spectral Theory and Mental Illness!
PhD Positions in Stochastic Optimization at Purdue University
PhD student position (f/m/d) at the Weierstrass Institute in Berlin
Postdoc Position, Numerical Methods for PDEs, Univ Vienna
Postdoctoral position in SciML, TU Chemnitz, Germany
Call for submissions, ICNAAM, Greece, September 2026
Final Call for Papers: SISC Special Section on Quantum Computing, August 31
See this issue of NA Digest on the web at:
https://na-digest.coecis.cornell.edu/na-digest-html/26/v26n30.html
Submissions, FAQs, and archives:
https://na-digest.coecis.cornell.edu/
-------------------------------------------------------
From: Arjav Sharma arjav.sharma.91@gmail.com
Date: July 19, 2026
Subject: New software: decoint - IEEE 1788.1-2017 Interval Arithmetic in Python
decoint is a new Python library built for IEEE 1788.1-2017
Interval Arithmetic, and is built on top of gmpy2.
The library calculates lower and upper bounds for functions,
and provides error tracking for state estimation, numerical
verification, and more.
Core implementation details:
- Parses string inputs to create accurately rounded MPFR
bounds to guarantee containment, preventing errors caused by
standard binary64 Python floats.
- Switches between gmpy2 rounding modes during operations
to enforce downwards and upwards rounding.
- Tracks IEEE 1788.1 decorations (com, dac, def, trv, ill)
alongside the bounds to track domain and continuity states.
Source code and documentation:
https://github.com/arjavsharma91/IEEE-1788.1-2017-Interval-Arithmetic
-------------------------------------------------------
From: Martin Hermann martin.hermann@uni-jena.de
Date: July 17, 2026
Subject: New book, Numerical Mathematics, Vol. 1
In July of this year, the first English edition of my book „Numerical
Mathematics, Vol. 1“, was published by Walter deGruyter, Berlin/Boston (ISBN
978-3-11-914766-8). This is a revised and expanded version of the fifth
German edition.
It covers the entire field of numerical mathematics from classical techniques
such as the Gaussian algorithm and Newton’s method to modern algorithms
such as least-squares approximation using Householder and Givens
transformations and deflation techniques. The methods are described with
mathematical precision, implemented in MATLAB codes and demonstrated
using examples. The MATLAB codes are available for download on the
publisher’s website
(https://www.degruyterbrill.com/de/document/doi/10.1515/9783112205969/html
) so that readers can carry out their own experiments with the numerical
methods.
Thanks to its didactic structure and the numerous illustrative examples and
exercises, this book is ideal for reading alongside lectures and as a basis for
successful self-study. At the same time, it can be used by mathematicians,
scientists and engineers as a profound reference work.
-------------------------------------------------------
From: Daniel Wachsmuth daniel.wachsmuth@uni-wuerzburg.de
Date: July 20, 2026
Subject: Workshop: Optimization with Partial Differential Equations, Wuerzburg, Sept 16-18 2026
This workshop brings together researchers working on optimization
problems constrained by partial differential equations. It provides
a forum for exchanging new results and fostering collaboration
across analysis, numerical methods, and applications.
Contributions from all areas of PDE‑constrained optimization are
welcome.
Invited speakers:
Alberto de Marchi (University of the Bundeswehr Munich, Germany)
Carmen Gräßle (TU Braunschweig, Germany)
Philipp Guth (Austrian Academy of Sciences, Austria)
Johannes Haubner (University of Graz, Austria)
More information can be found on the website:
https://www.mathematik.uni-wuerzburg.de/en/schools/optimization-
with-partial-differential-equations/
Looking forward to seeing you in Wuerzburg!
Daniel Wachsmuth
-------------------------------------------------------
From: Raffaele D'Ambrosio raffaele.dambrosio@univaq.it
Date: July 18, 2026
Subject: INdAM Workshop "Structure-preserving approximation of evolutive problems", Sep 2026
The INdAM Workshop "Structure-preserving approximation of evolutive
problems" will take place in Rome, Italy, on September 7-11, 2026.
The workshop will focus on the development, analysis, and application of
numerical methods for evolutive problems, with particular emphasis on
structure-preserving approaches. Topics include deterministic and stochastic
ODEs and PDEs, nonstandard time integration techniques, model order
reduction, connections with differential geometry, and scientific machine
learning.
Due to the limited capacity of the lecture room, no further in-person
participation can be accommodated. However, to make the workshop
accessible to the interested community, it will be possible to follow the talks
online. Details on remote participation are available on the workshop website:
https://sites.google.com/view/structapp2026/
Organizers:
- Beatrice Paternoster (University of Salerno)
- Gianluigi Rozza (SISSA - International School for Advanced Studies)
- Raffaele D'Ambrosio (University of L'Aquila)
-------------------------------------------------------
From: Shuhao Cao scao@umkc.edu
Date: July 17, 2026
Subject: SIAM Central States Section Annual Meeting, Oct 2026
The 2026 Annual Meeting of the SIAM Central States Section will be held at
Jackson State University in Jackson, Mississippi, on October 10–11, 2026.
The plenary speakers are:
Lisa Fauci, Tulane University
Xiaobing Feng, University of Tennessee, Knoxville
Rachel Ward, University of Texas, Austin
Participants interested in organizing a minisymposium or presenting a
contributed talk are encouraged to register and submit their materials through
the conference website: https://sites.google.com/view/siam-css-2026/home
The due is Aug 16, 2026.
Travel support may be available for students, postdoctoral researchers, and
early-career participants, subject to funding availability. Priority may be given to
participants who would otherwise be unable to attend.
-------------------------------------------------------
From: Nadine Riegler dekanat.mathematik@univie.ac.at
Date: July 22, 2026
Subject: Tenure Track Position in Data Driven Partial Differential Equations, University of Vienna
We are looking for outstanding scientists who are active in the development of
mathematical models or numerical methods in partial differential equations, in
connection with uncertainty or data science. Specific fields of interest include, but
are not limited to, stochastic partial differential equations, optimal transport,
gradient flows, uncertainty quantification, model order reduction, data
assimilation, optimal control, and their applications.
The successful applicant is expected to complement the faculty’s ongoing
research activities in the field of applied and computational PDEs. Current
research covers a wide range of applications, including biology, materials science,
and astrophysics, and uses a variety of approaches, such as stochastic processes,
kinetic theory, variational analysis, finite element methods, and data-driven
techniques. The Vienna School of Mathematics offers excellent conditions for
doctoral training at the highest level in all areas of mathematics and promotes
interdisciplinary and intradisciplinary cooperation.
Further information on the position, how to apply and the full advertisement may
be found at: https://jobs.univie.ac.at/job/Tenure-Track-Professorship-in-Data-
Driven-Partial-Differential-Equations/1417564533/
-------------------------------------------------------
From: Catherine Drysdale c.drysdale@lancaster.ac.uk
Date: July 19, 2026
Subject: PhD position in Lancaster combining at Spectral Theory and Mental Illness!
Hello everyone,
I'm looking for a PhD student for the project "A Mechanistic Perspective on
Mental Illness". The description is
"Depression is a heterogeneous disorder that affects nine percent of people
worldwide. The impact of depression on individuals cannot be overstated, as well
as the impact on their family and the wider society. Attempts have been made to
categorise depression into subtypes such as melancholic and atypical depression.
Whilst these subtypes exhibiting distinct hormonal and neural signatures, a
mechanistic understanding could potentially replace categorisation via symptoms
and lead to more tailored treatment approaches.
This project will aim to create models of a wider brain network and hormonal
system to model depression’s underlying mechanisms and treatment responses.
The data we have is cutting edge and includes time series hormonal data
collected with the U-Rhythm device with corresponding fMRI measurements, as
well as measurements from the CA2 region of the mouse hippocampus. The
mathematics employed will combine graph theory, eigenvalue analysis and neural
networks."
Details of the application process can be found here
https://www.lancaster.ac.uk/mathematics-for-ai-in-real-world-
systems/postgraduate/phd-projects-2026/#.
Candidates need to have UK student status.
Best wishes,
Catherine
-------------------------------------------------------
From: Miaolan Xie miaolanx@purdue.edu
Date: July 21, 2026
Subject: PhD Positions in Stochastic Optimization at Purdue University
I invite applications for fully funded PhD positions in my group
in the Edwardson School of Industrial Engineering at Purdue
University, in the Operations Research area.
My group develops adaptive stochastic optimization methods with
rigorous guarantees. I work on high-probability complexity
analysis under noisy, biased, or heavy-tailed oracles and on
algorithms for smooth and nonsmooth nonlinear problems, with
possible applications in machine learning and healthcare.
Ideal candidates have a strong background in mathematics,
probability/statistics, and optimization; prior relevant
research experience is a plus. Positions are fully funded
through assistantships and fellowships.
To apply, submit an application to the Purdue IE PhD program by
the application deadline and mention my name in the application.
Program details:
https://engineering.purdue.edu/IE/academics/graduate/phd
Informal inquiries with a CV and transcript are welcome at
miaolanx@purdue.edu. More about my research:
https://miaolan.github.io/
-------------------------------------------------------
From: Weierstrass Institute hr@wias-berlin.de
Date: July 23, 2026
Subject: PhD student position (f/m/d) at the Weierstrass Institute in Berlin
The Weierstrass Institute for Applied Analysis and Stochastics (WIAS) is an
institute of the Forschungsverbund Berlin e.V. (FVB). The FVB comprises seven
non-university research institutes in Berlin which are funded by the federal and
state governments. The research institutes belong to the Leibniz Association.
WIAS invites applications for a PhD student position (f/m/d) (Ref. 26/17)
in the Weierstrass Group “Multi-species Balanced Laws” (Head: Dr. Katharina
Hopf) to be filled at the earliest possible date. For more information, see
https://www.europeanwomeninmaths.org/offer/phd-student-position-f-m-d-ref-26-17/
Please direct scientific queries to Dr. Katharina Hopf (Katharina.Hopf@wias-
berlin.de).
-------------------------------------------------------
From: Ilaria Perugia ilaria.perugia@univie.ac.at
Date: July 23, 2026
Subject: Postdoc Position, Numerical Methods for PDEs, Univ Vienna
The Faculty of Mathematics of the University of Vienna (Austria)
invites applications for a Postdoctoral University Assistant
position (3 years) in Numerical Methods for Partial Differential
Equations.
The application deadline is September 30, 2026.
The detailed announcement can be found here: https://
jobs.univie.ac.at/job/University-Assistant-postdoctoral/1417877233/
-------------------------------------------------------
From: Martin Stoll martin.stoll@mathematik.tu-chemnitz.de
Date: July 21, 2026
Subject: Postdoctoral position in SciML, TU Chemnitz, Germany
We are hiring for a postdoctoral researcher in the field of
scientific machine learning for engineering applications starting
in November 2026.
For more information see (in German)
https://www.tu-chemnitz.de/verwaltung/personal/
stellen/225032_11_Rich.php
Please send your application including a detailed academic CV to
anne-kristin.glanzberg@mathematik.tu-chemnitz.de before August 15.
-------------------------------------------------------
From: Dr ANANT PRATAP SINGH anant.singh@jklu.edu.in
Date: July 23, 2026
Subject: Call for submissions, ICNAAM, Greece, September 2026
Call for submissions in the Symposia at the 24th International Conference of
Numerical Analysis and Applied Mathematics (ICNAAM 2026). Under the title
"Frontiers in Scientific Computing: Advanced Numerical Algorithms for Fractional
Modelling, Stochastic PDEs, and SciML in Uncertainty Quantification".
For more details, go to ( https://icnaam.org/planned-sessions-and-symposia/?
_page=3 ).
Authors are kindly requested to submit their manuscripts directly to (
anant.singh@jklu.edu.in )
-------------------------------------------------------
From: Roel Van Beeumen rvanbeeumen@lbl.gov
Date: July 23, 2026
Subject: Final Call for Papers: SISC Special Section on Quantum Computing, August 31
The SIAM Journal on Scientific Computing (SISC) invites submissions for a
Special Section on “Quantum Computing: Numerical Algorithms and
Applications.”
The submission deadline is extended to August 31, 2026. The review process
of each submitted manuscript will start immediately after submission, and
accepted papers will be published online on a rolling basis.
The scope of the Special Section encompasses two focus areas:
1. Quantum Algorithms for Scientific Computing Applications including, for
instance, quantum algorithms for differential equations, linear and nonlinear
systems, eigenvalue problems, optimization, and machine learning.
2. Scientific Computing Methods for Quantum Computing Science including
tensor networks for quantum computing simulators, simulation of qubits and
quantum processors, and numerical optimal control methods for designing
quantum gates and pulse shapes.
Submissions to the Special Section should present algorithmic contributions in
the context of a full algorithmic stack that advances end-to-end quantum
applications instead of focusing on some core components of quantum
algorithms in isolation. The scope of the Special Section includes various
technologies of quantum computing including gate-based quantum computers,
quantum annealers, and hybrid quantum-classical approaches. Evaluation of
the proposed numerical algorithms in computational experiments, for example,
in simulation environments or on actual quantum hardware, is a mandatory part
of publications submitted to the Special Section, as well as comparison to best-
in-class alternatives.
https://www.siam.org/publications/siam-news/articles/call-for-papers-sisc-
special-section/
After the Special Section closes, submissions on quantum computing
algorithms may be submitted to the regular SISC journal.
-------------------------------------------------------
End of Digest
**************************