NA Digest, V. 22, # 15

NA Digest Monday, May 09, 2022 Volume 22 : Issue 15

Today's Editor:

Daniel M. Dunlavy
Sandia National Labs

Today's Topics: Subscribe, unsubscribe, change address, or for na-digest archives:

Submissions for NA Digest:

From: Linda Petzold
Date: May 08, 2022
Subject: Charles W. (Bill) Gear

Charles W. (Bill) Gear, a prominent computer scientist particularly
known for his work in numerical analysis, died in Princeton, New
Jersey on March 15 at the age of 87.

Born to working-class parents in London, Bill studied at Cambridge
University on a full scholarship. Upon graduation in 1956, he headed
to the University of Illinois at Urbana-Champaign to learn about
computers, still in the early stages of development. Initially
intending to stay only for a year, he remained to earn a mathematics
Ph.D. in 1960. Upon completing his degree, he went to work at IBM
British Laboratories in Hursley. Two years later, Bill returned to
the University of Illinois, where he rose through the faculty ranks
from Assistant Professor of Computer Science and Applied Mathematics
to Full Professor in 1969 and, in 1985, Head of the Computer Science
Department. In 1990 he was named Vice President of the Computer
Science Research Division at the nascent NEC Research Institute in
Princeton, New Jersey. There, he established its computer division,
and two years later became President of the Institute, which also
supported physics research. After retiring in 2000, Bill soon became
a part-time senior scientist at Princeton University, where he
continued research work in collaboration with Yannis Kevrekidis.

A member of the National Academy of Engineering since 1991, Bill was
elected five years later to Fellow of the American Academy of Arts and
Sciences. In 1987 he received an Honorary Doctorate from the Royal
Institute of Technology in Stockholm. Also a Fellow of the Institute
of Electrical and Electronics Engineers, in 1987-88 he served as
President of the Society for Industrial and Applied Mathematics.
Among his many accomplishments, Bill's work on the numerical solution
of stiff ODEs and DAEs, together with his pioneering automatic
software DIFSUB, was widely impactful in science, engineering, and
computational applied mathematics.

In the SIAM community, Bill was widely known and highly respected not
only for his research contributions, but for his excellent judgment
and willingness and ability to see all sides of an argument, and for
his love of a good party! We honor his career and his life.

Linda Petzold and Yannis Kevrekidis

From: Nick Gould
Date: May 04, 2022
Subject: GALAHAD 4.0, nonlinear optimization

We are delighted to announce the release of version 4 of the
open-source GALAHAD Fortran software library for solving nonlinear
optimization problems. A defining feature of this new release are
native interfaces to C and Matlab. The library contains software for
linear and quadratic programming, unconstrained, bound-constrained and
general-constrained optimization, nonlinear least squares, and
approximate global optimization, as well as a large variety of
auxiliary methods for linear and nonlinear sub-problem solution. Full
documentation and installation scripts for Linux, Mac and MinGW are
provided, and a variety of compilers are supported. The software is
available under the LGPL 3.0 licence.

For more details see and for download
instructions visit

Jari Fowkes and Nick Gould, STFC-Rutherford Appleton Laboratory

From: Stephen Langdon
Date: May 09, 2022
Subject: Workshop Celebrating Simon Chandler-Wilde at 60, UK, Jun 2022

The workshop: "Scattering and propagation of waves: theoretical and
computational challenges", celebrating Simon Chandler-Wilde's 60th
birthday (postponed from 2020, when Simon was 60) will be held at the
University of Reading 27th-29th June 2022.

Thanks to the the QJMAM Fund for Applied Mathematics, there is money
available to support UK-based PhD students attending this conference.

Full details can be found at:

From: Krassimir Georgiev
Date: May 09, 2022
Subject: Large-scale Models, Bulgaria, Aug 2022

Special Session on Large-scale Models: Numerical Methods, Parallel
Computations and Applications will be organized during the 10th
International Conference on Numerical Methods and applications
(NMA'22). The conference will take place in Borovets (a very nice
resort place about 60 km from Sofia, Bulgaria) in the period August 22
to August 26, 2022 (see details: ). Proceedings will
be published in the distinguish Springer Series: Lecture Notes in
Computer Science. Extended papers from this session will probably be
published (as was done in the previous conferences) in an
international journal with high index.

Important deadlines:
Deadline for submission of abstracts: January 15, 2019
Notification of acceptance of the talks: January 31, 2019
Deadline for registration: February 15, 2019
Deadline for submission of full papers: March 1, 2019

An online registration will be opened.

E-mails:, ;

From: Tobias Breiten
Date: May 07, 2022
Subject: Model Reduction and Surrogate Modeling (MORE), Germany, Sep 2022

Model Reduction and Surrogate Modeling (MORE), Germany, Sep 2022

Registration for the first "Model Reduction and Surrogate Modeling
(MORE)" conference in Berlin, Germany, on 19-23 September 2022 is now

- June 15, 2022 (early bird)
- July 31, 2022 (late registration)

Caution: participants are encouraged to take care of room reservations
as early as possible - hotel limitations due to InnoTrans and Berlin

More details on the conference are available at:

From: Jiguang Sun
Date: May 04, 2022
Subject: Visiting Assistant Professor Position, Michigan Technological Univ

The Department of Mathematical Sciences at Michigan Technological
University invites applications for a Visiting Assistant Professor.

Michigan Tech attracts world-class faculty who enrich the educational
experience of smart, motivated, and adventurous students. Applicants
who are committed to promoting a sense of belonging and contributing
to an equitable and inclusive learning environment for all are
strongly encouraged to apply

Essential Duties & Responsibilities (other duties may be assigned)
Conducting high-quality research supervised by one or more current
faculty of the department, participating in research proposal writing,
and teaching 3 courses per year.

Required Education (minimum requirements) Ph.D. in mathematics or
statistics by Aug. 15, 2022.

Required Experience (minimum requirements) Research experience in
machine learning, computational mathematics, Bayesian statistics, and
teaching experience of undergraduate mathematics or statistics

For more information and to apply for the position go to

From: Amos Lawless
Date: May 04, 2022
Subject: Lecturer/Assistant Professor Position, Data Assimilation, UK

We are looking to appoint a permanent Lecturer in Data Assimilation
(equivalent to assistant professor) in the Data Assimilation Research
Centre (DARC) at the University of Reading. DARC involves 8 academic
staff and around 20 research staff and students. DARC has a strong
research record in data assimilation theory and applications,
collaborating with scientists in operational centres such as the Met
Office and ECMWF, as well as with the NERC National Centre for Earth
Observation and other academic and industry groups.

The post is a joint position between the Department of Mathematics and
Statistics and the Department of Meteorology. The closing data for
applications is 12 June 2022. Full details are available at

Any questions about the post can be addressed to Amos Lawless or Sarah Dance

From: Olga Mula
Date: May 04, 2022
Subject: Postdoc Position, OT&ML for Inverse Problems, TU Eindhoven

TITLE: Optimal Transport & Machine Learning for Inverse Problems
DURATION: 2 years

We are looking for a postdoctoral who will join the research group on
Data-Driven Scientific Computing, located at CASA, the Center for
Analysis, Scientific Computing and Applications of TU Eindhoven.

The candidate is expected to develop numerical methods for inverse
problems where the goal is to recover the state of a physical system
based on a limited set of noisy partial observations. The study will
focus on physical phenomena that are modeled with high-dimensional
PDEs involving strong advection effects. Examples of such equations
can be conservation laws, transport or kinetic equations,
Fokker-Planck equations, or Mean Field Game Equations. For this type
of advection-dominated problems, it is known that classical linear
approximation methods are not well suited. The postdoctoral candidate
will address this problem by developing nonlinear methods based on
optimal transport, and machine learning. In order to address high
dimensionality, and many-query evaluations, nonlinear model order
reduction of parametric PDEs may be required.

Candidates with strong coding experience are welcome to apply.
Candidates without coding experience but with strong background in
analysis are also welcome to apply.

Further information and instructions on how to apply:

From: J. Lu
Date: May 06, 2022
Subject: Research Scientist/Postdoc Position, Multiple Areas, SZU

Job Type: Full-Time for Research Scientist / PostDoc
Duration: 2 years
Number of Position: 2 Positions
Salary: about 340,000 RMB (about 52530 US dollars) -- 420,000RMB
(about 64890 US dollars) per year.

Description: We have projects that are looking for Research
Scientists/Postdoc in Optimization, Computer Vision,
Image/Video/Signal Processing/Analysis, Matrix theory, Harmonic
Analysis, Wavelet, Machine Learning, etc.

We have no teaching tasks.

Promotors: Prof. Jian Lu (Shenzhen Key Laboratory of Advanced Machine
Learning and Applications, College of Mathematics and Statistics,
Shenzhen University, Shenzhen, China. email:;

Those who are interested in Research Scientist/Postdoc please send
their C.V. to Prof. Dr. Jian Lu (email:;

From: Siyang Wang
Date: May 09, 2022
Subject: PhD Position, Computational Mathematics, Umea Univ, Sweden

A PhD position in computational mathematics is available in the
Department of Mathematics and Mathematical Statistics, Umea
University, Sweden. The application deadline is May 31, 2022.

The aim of this PhD project is a robust and efficient numerical
technique for large-scale wave propagation problems. We will focus on
the numerical analysis aspect but will also target realistic 3D models
in physics.

For more information and instructions on how to apply, please see

End of Digest