NA Digest, V. 22, # 38

NA Digest Wednesday, November 23, 2022 Volume 22 : Issue 38


Today's Editor:

Daniel M. Dunlavy
Sandia National Labs
dmdunla@sandia.gov

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From: A. Eliza Greenstadt amyyma@mac.com
Date: November 10, 2022
Subject: John L. Greenstadt Obituary


Obituary
John Lester Greenstadt
October 8, 1924 - October 17, 2022

John L. Greenstadt, researcher in applied mathematics, died on October
17, 2022 just after his 98th birthday. He was born October 8, 1924 in
Manhattan, NY to Alice (Fischler) and Morris ("Moe") Greenstadt.
Recognizing John's talent in mathematics, the U.S. army employed him
to work on flight engineering and artillery targeting during the
height of World War II. After leaving the military at the rank of
sergeant, John earned a BA in Physics at Brooklyn College and then
attended Yale University on the GI Bill, where in 1953 he received a
PhD in mathematical physics. He worked as a physicist at H.K. Ferguson
Co. while finishing his degree before joining IBM as a staff scientist
from 1952-1985, during which time he published several important
papers that continue to have impact today. He was one of the first to
use a variational technique to derive a better numerical optimization
method-work in the 1970s that, as he reminisced in a 2000 article ("An
Abridged History of Cell Discretization" LNCSE 11), stimulated the
development of the ubiquitous BFGS method that appears in so many
computational toolboxes today. One current researcher reports, "In my
software I use a 'Greenstadt modification' to keep something called
working weight matrices positive-definite." Another finds "the & work
of Dr. Greenstadt both deep and inspiring. So, I would say that
Dr. Greenstadt was a great thinker to be memorialized forever."

John will also be remembered by the Mountain View community for his
incisive wit, playful humor, and prodigious knowledge of a variety of
subjects from politics to history to art to music. Not one to suffer
fools gladly, he nonetheless charmed friends and acquaintances with
his gentle consideration and sweetness. He maintained his physical and
mental acuity until the very end of his life when, sadly, the death of
his beloved wife of over 20 years, Karen Lynn Greenstadt, spurred a
decline in his own health. Even in the hospital, though, he continued
to joke with the medical staff and, they said, brought a bright spot
to their days.

John will be mourned by his brother Bill and niece Amy ("Eliza")
Greenstadt, as well as his sister-in-law Nancy Bush and his wife
Karen's son, Paulie Germano. He is also survived by two adult children
from a previous marriage and a granddaughter.


From: Peter Schorer peteschorer@gmail.com
Date: November 17, 2022
Subject: Improved possible proof of Goldbach's Conjecture


Last summer I published a notice here about a possible proof of
Goldbach's Conjecture, which asserts that each even positive integer
>=3D 4 is the sum of two primes.

There have been more than 300 visits to the paper, with only three
claims of an error. Each of these turned out to be the result of a
misunderstanding of the basic argument. I have now clarified the
argument and in the process reduced the length of the possible proof
to one page.

See "Current Possible Proof" on p. 1 of "A Possible Proof of
Goldbach's Conjecture" on occampress.com. I will welcome knowing the
first sentence that the reader believes contains an error, and what
that error is.

Peter Schorer


From: Mitchell Graham mgraham@siam.org
Date: November 22, 2022
Subject: New Book, Advanced Reduced Order Methods & Apps in CFD


Advanced Reduced Order Methods and Applications in Computational Fluid
Dynamics by Gianluigi Rozza, Giovanni Stabile, and Francesco Ballarin

Reduced order modeling is an important, growing field in computational
science and engineering, and this is the first book to address the
subject in relation to computational fluid dynamics. It focuses on
complex parametrization of shapes for their optimization and includes
recent developments in advanced topics such as turbulence, stability
of flows, inverse problems, optimization, and flow control, as well as
applications. This book will be of interest to researchers and
graduate students in the field of reduced order modeling

2022 / xxxiii + 466 pages / Softcover / 978-1-61197-724-0 /
Price $99.00

Bookstore link:
https://my.siam.org/Store/Product/viewproduct/?ProductId=3D44381950


From: Kristin Kirchner k.kirchner@tudelft.nl
Date: November 19, 2022
Subject: NASPDE at Eurandom, Netherlands, May 2023


The next workshop on Numerical Analysis of Stochastic Partial
Differential Equations (NASPDE) will take place on May 15 - 17 2023 at
Eurandom in Eindhoven, Netherlands.

The aim of this three-day workshop is to gather leading researchers
working on various aspects of numerical methods for stochastic PDEs
and/or PDEs with uncertain input, as well as their applications in
science and engineering. Topics to be covered range from the analysis
and implementation of numerical schemes for PDEs with uncertainty to
recent developments in sampling (Monte Carlo) strategies and Bayesian
inverse problems, as well as real-world applications of differential
equations with randomness.

The website of the workshop with a list of the invited speakers and
the registration form is available at
http://www.tinyurl.com/naspde2023 . Registration is free, but
mandatory. The registration deadline is March 31 2023.

There will be a poster session for young researchers. PhD students and
postdocs are encouraged to apply for financial support (deadline:
January 31 2023, see the website for details). They should have a
scientific interest in the topics covered by the workshop and present
their work in the poster session.


From: Jonathan Siegel jwsiegel@tamu.edu
Date: November 07, 2022
Subject: CBMS Deep Learning and Numerical PDEs, USA, Jun 2023


The Mathematics Department at Morgan State University is excited to
host the CBMS Conference: Deep Learning and Numerical PDEs, which will
take place at Morgan State University from June 19 - June 24, 2023.

This conference will bring together a diverse group of researchers
from PDE theory, scientific computing, and machine learning who work
on both the theoretical and applied aspects of solving PDEs using
neural networks. There will be a distinguished lecture series to be
delivered by Prof. Jinchao Xu (KAUST and Penn State) and invited
plenary talks from distinguished speakers in the one and half-day
workshop. Our goal is to present a comprehensive introduction to the
diverse set of research opportunities in machine learning for
scientific computing. We are also aiming to create an inclusive
environment geared toward exposing traditionally disadvantaged groups
to this important new field of research. Information about important
deadlines will be made available later this year.

For more information, please visit
https://sites.google.com/view/nsf-cbms-dl-nmpde/home



From: Chiara Puglisi chiara.puglisi@mumps-tech.com
Date: November 17, 2022
Subject: MUMPS User Days, France, Jun 2023


MUMPS(MUltifrontal Massively Parallel sparse direct Solver,
http://mumps-solver.org/) User Days
22-23 June, 2023, Sorbonne University, Paris, France.

This will be the fifth edition of a series of meetings started with
the 2006 MUMPS User Days.

The aim of this event is to bring together MUMPS users from both
academia and industry and MUMPS developers. The general theme of the
meeting ranges from sparse direct solvers and related issues to
applications and experiences with MUMPS.

Further information is available at
https://mumps-solver.org/index.php?page=3Dud_2023


From: Bernd Simeon simeon@mathematik.uni-kl.de
Date: November 17, 2022
Subject: Applied and Industrial Mathematics, Germany, Sep 2023


The second edition of the Kaiserslautern Applied and Industrial
Mathematics Days - KLAIM will take place in Kaiserslautern, Germany,
from September 25th-27th, 2023. The purpose of this workshop is to
provide a forum for applied mathematicians from academia, research
labs and industry to exchange ideas and to showcase recent
results. After the successful start of this new conference series in
2021, we continue next year with the second edition of KLAIM, putting
emphasis on the Synthesis of Models and Data.

This thematic focus addresses in particular the combination of
model-based approaches and data-driven techniques, leading thus to
hybrid learning frameworks. The workshop is hosted jointly by the
Fraunhofer-Institute for Industrial Mathematics and the Department of
Mathematics at the TU Kaiserslautern. The program will be structured
along the five tracks 1. Models and Data across Scales and Domains in
Engineering Applications; 2. Risk Management and Machine Learning;
3. Simulation and Optimization in Fluid Dynamics; 4. Mathematical
Programming: Uncertain Data and Multiple Objectives; 5. Analyzing
Materials Structures: Images, Machine Learning and Stochastic
Geometry.

Registration and further details will be announced in April 2023. For
questions write to us at: klaim@mathematik.uni-kl.de

Find out more at: https://www.itwm.fraunhofer.de/klaim


From: Matthias Ehrhardt ehrhardt@uni-wuppertal.de
Date: November 09, 2022
Subject: Stability & Control of Infinite-Dim Systems, Germany, Sep 2023


We are pleased to announce the 4th Workshop on Stability and Control
of Infinite-Dimensional Systems (SCINDIS 2023) to be held September
27-29, 2023 in Wuppertal (Germany). The Workshop is organized by
Sergey Dashkovskiy, Andrii Mironchenko, Fabian Wirth and myself.

The previous workshop has been held in September 2021 virtually. The
program of the SCINDIS 2023 will consists of plenary talks and
additional contributed talks (in parallel sessions). The website of
the workshop is:
https://www.fan.uni-wuppertal.de/de/aktivitaeten/scindis-2023

Hereby we cordially like to invite you to the workshop. Registration
will open in January 2023.

Please feel free to forward this announcement to anyone interested.



From: Erum Jafri erum.jafri-ext@ansys.com
Date: November 07, 2022
Subject: R&D II Position, Numerical Analysis, Ansys, USA


https://careers.ansys.com/job/Livermore-CA-94551/951470400/

ANSYS is searching for a qualified candidate to join their team of
Linear Algebraists. This team works to solve linear algebra problems
arising in a broad spectrum of application problems involving direct
and iterative solution of linear systems for sparse and dense problems
and associated eigenvalue problems. The R&D Engineer II contributes
to the development of software products and supporting systems. In
this role, the R&D Engineer II will collaborate with a team of expert
professionals to understand customer requirements and accomplish
development objectives. We are specifically searching for a candidate
specializing in eigenvalue problems.

Key Duties and Responsibilities: Performs moderately complex
development activities, including the design, implementation,
maintenance, testing and documentation of software modules and
sub-systems; Understands and employs best practices; Performs
moderately complex bug verification, release testing and beta support
for assigned products. Researches problems discovered by QA or product
support and develops solutions; Understands the marketing requirements
for a product, including target environment, performance criteria and
competitive issues; Works under the general supervision of a
development manager.

Minimum Education/Certification Requirements and Experience: BS in
Engineering, Computer Science, or related field with 2 years'
experience or MS; Working experience with a variety of linear algebra
areas but especially eigenvalue computations; Experience applying
linear algebra technology to engineering application problems;
Demonstrated skills using existing linear algebra software tools with
the ability to enhance those tools; Software skills in Fortran and/or
C to develop new tools as required especially in a parallel computing
environment using MPI and OpenMP.

Preferred Qualifications and Skills: PhD preferred; Ability to work in
a variety of application areas; Experience in a large-scale commercial
software development environment; Good communication and interpersonal
skills; Ability to learn quickly and to collaborate with others in a
geographically distributed team, including application specialists.


From: Julian Hall jajhall@ed.ac.uk
Date: November 16, 2022
Subject: Senior Optimization Solver Developer Position, HiGHS


HiGHS is looking for a Senior Optimization Solver Developer in
interior point methods or mixed-integer programming. This full-time
three-year position offers an exciting opportunity to make a major
contribution to the world's best open-source linear optimization
software. It will be held within the School of Mathematics at the
University of Edinburgh, and the grading allows a salary of 50k GBP
per annum to be paid. For full details see
https://tinyurl.com/24uxzehv, and for further information contact
jajhall@ed.ac.uk


From: Omar Lakkis o.lakkis@sussex.ac.uk
Date: November 17, 2022
Subject: Faculty Positions, NA and Data Science, Univ of Sussex, UK


Please consider applying or forward to interested.
Closing date: 13 Jan 2023

2 positions in Numerical Analysis
https://www.sussex.ac.uk/about/jobs/reader-senior-lecturer-in-maths-ref-9876-9877

1 position in Data Science
https://www.sussex.ac.uk/about/jobs/lecturer-senior-lecturer-reader-in-maths-ref-9878


From: Jose E. Castillo jcastillo@sdsu.edu
Date: November 15, 2022
Subject: Tenure-Track Position, Computational Science, SDSU, USA


The Computational Science Research Center at SDSU is seeking to hire a
tenure-track assistant professor in Computational Science in the
College of Sciences beginning Fall 2023. We are particularly
interested in applicants with strengths in high-performance computing,
in particular the run-up to exascale computing. We are also interested
in applicants with strengths in science-informed machine learning
and/or multiscale modeling. The candidates should have a PhD degree
with training and research experience that would fit one of the
following departments in the College: Astronomy, Biology, Chemistry
and Biochemistry, Computer Science, Mathematics and Statistics, or
Physics. Position details and instructions to apply can be found at
https://apply.interfolio.com/116989. Review of applications will
begin on January 2, 2023 and will continue until the position is
filled. Questions about the position may be directed to Calvin
Johnson, cjohnson@sdsu.edu. SDSU is an equal opportunity/Title IX
employer.


From: Benjamin Peherstorfer pehersto@cims.nyu.edu
Date: November 08, 2022
Subject: Tenure-Track Positions, Scientific Computing, Courant/NYU, USA


The Computer Science department at Courant Institute of Mathematical
Sciences, New York University has several tenure-track faculty
positions open and invites candidates at all levels to apply. We are
looking for candidates in all areas of computer science, in particular
in scientific machine learning, scientific computing, and
optimization. Faculty members are expected to be outstanding scholars
and to participate in teaching at all levels from undergraduate to
doctoral. New appointees will be offered competitive salaries and
startup packages. For full consideration we recommend that applicants
apply by December 1, 2022, though we will continue to review
applications past that date as needed. Details can be found here:
https://cs.nyu.edu/home/jobs/openings.html#tenure


From: Roland Herzog roland.herzog@iwr.uni-heidelberg.de
Date: November 15, 2022
Subject: Professor Position, ML in the Humanities, Heidelberg Univ


The Faculty of Mathematics and Computer Science at Heidelberg
University invites applications for a Professorship for "Scientific
Computing" (f/m/d) with focus on Machine Learning in the Humanities
(Open rank: W1 with tenure track to W3 or W3) to be filled from the
winter semester 2023/2024 or later.

The professorship is located at the Interdisciplinary Center for
Scientific Computing (IWR). With its assignment to the Faculty of
Mathematics and Computer Science, the professorship is part of a broad
partnership between IWR, the Excellence Cluster STRUCTURES and the
method-oriented faculties to establish a Center for Machine Learning
at Heidelberg University. The mission of the professorship is to
develop methods for applied machine learning that enable innovative
projects in the humanities and social sciences. We are looking for a
spirited and communicative colleague who enjoys making new connections
and helping to shape the future of machine learning at IWR.

Applications are solicited by January 6th, 2023 to the Dean of the
Faculty of Mathematics and Computer Science at Heidelberg University,
Prof. Christoph Schnorr, application@mathinf.uni-heidelberg.de.
Questions about orientation and institutional strategy will be
answered by Prof. Fred Hamprecht,
fred.hamprecht@iwr.uni-heidelberg.de. For your application, please
summarize in a single pdf file the following, among others: CV,
research plan, details of previous teaching experience including
possible evaluations, and up to five of your papers accompanied by a
paragraph each explaining why this work is of particular importance to
you. Heidelberg University stands for equal opportunities and
diversity. Qualified female candidates are especially invited to
apply. Child-rearing periods are taken into account in the assessment
of the academic career. Persons with severe disabilities will be given
preference if they are equally qualified. Information on professors,
the evaluation statute and the collection of personal data is
available at www.uni-heidelberg.de/en/job-market.


From: Alex Barnett abarnett@flatironinstitute.org
Date: November 18, 2022
Subject: Postdoc/Research Scientist Positions, CCM, Flatiron Inst, USA


We are pleased to announce two types of openings at the Center for
Computational Mathematics (CCM) in the Flatiron Institute, a division
of the Simons Foundation, located in New York City.

1) Flatiron Research Fellowships (FRF), typically 3 year postdoctoral
research-based positions. Deadline: December 15, 2022.
2) Research Scientist (or Data Scientist) permanent staff positions,
at all levels of seniority. (Junior hires are at a similar level to
tenure-track academic positions.) Deadline: January 15, 2023.

The research areas of interest in hiring include: machine learning,
especially the areas of optimization, learning theory, probabilistic
modeling, deep learning, and high dimensional data analysis, as well
as applications of scientific interest at Flatiron (e.g., cosmological
modeling, quantum many-body systems, computational neuroscience);
statistical methodology, modeling, and inference; probabilistic and
differential programming; computational physics, including statistical
mechanics, biophysics, fluid mechanics, quantum physics, and molecular
dynamics; numerical methods for partial differential equations and
integral equations; signal and image processing, with a particular
focus on structural biology; numerical analysis, including numerical
linear algebra and high-order methods; high performance computing and
open source software libraries.

A major goal of CCM is to develop the next generation of simulation
and analysis methods and to make them available to the scientific
community. For a full description of CCM activities and scientific
staff, see:
https://www.simonsfoundation.org/flatiron/center-for-computational-mathematics

For the full job advertisements for the two types of position, see:
https://simonsfoundation.wd1.myworkdayjobs.com/ccmcareers


From: Heike Sill Heike.sill@wias-berlin.de
Date: November 08, 2022
Subject: Research Assistant Position, Optimization, WIAS, Germany


WIAS invites applications for a Research Assistant Position (f/m/d)
(Ref. 22/40) in the Research Group Nonsmooth Variational Problems and
Operator Equations (Head: Prof. Dr. M. Hintermuller) to be filled at
the earliest possible date.

Field of work: Optimization with partial differential equations and
variational inequalities. The holder of the position is qualified in a
modern field of optimization with partial differential equations. Of
particular interest are non-smooth coupled systems and data-driven
(e.g. machine learning) approaches to modeling and optimization,
variational problems in mathematical image processing or nonlinear
inverse problems. In addition to analytical considerations, the
development and implementation of numerical solution methods are of
central importance. Wanted: A motivated, outstanding researcher with
a very good degree and excellent doctorate in mathematics as well as
previous experience in the fields mentioned above with the willingness
to take on responsibility for interdisciplinary projects. Further
experience within the framework of independent research in a
postdoctoral phase is desired as well as very good knowledge in one or
more of the areas: Optimal control with partial differential
equations, (Quasi-)Variational inequalities and their optimal control,
Non-smooth variational problems with applications in image processing
including experience in the computer-aided realization of the
associated numerical solution methods. This position is associated
with the production of publications in international peer-reviewed
journals, presentation of the results at international conferences and
co-support of students working at WIAS in this field as bachelors,
masters or doctoral students. Technical queries should be directed to
Prof. Dr. Michael Hintermuller (Michael.Hintermueller@wias-berlin.de).
The position is remunerated according to TVoD Bund and is initially
limited to two years, while a long-term perspective is envisioned.

How to apply: Please upload your complete application documents
(motivation letter, detailed CV, certificates, list of MSc courses and
grades, copy of the master thesis, reference letters, etc.) via our
applicant portal (https://short.sg/j/24675731) by November 27, 2022
using the button Apply online.

See here for more information: https://short.sg/j/24675731


From: Carola-Bibiane Sch=F6nlieb cbs31@cam.ac.uk
Date: November 17, 2022
Subject: Research Associate Positions, ML for Science, UK


Fixed Term positions exist for two Research Assistants/Associates
working in the Department of Applied Mathematics and Theoretical
Physics (DAMTP) and the Department of Physics, connected to the
Accelerate Programme for Scientific Discovery. The Accelerate
Programme for Scientific Discovery is a high-profile Cambridge
University initiative promoting the use of machine learning to tackle
major scientific challenges. Working across disciplines within the
University, Accelerate is advancing research at the interface of AI
and science, providing training in data science for science, and
building a community of research and practice. We are inviting
applications for Research Assistants/Associates to join Accelerate. We
are looking for candidates who are passionate about advancing science
through machine learning and about helping other researchers do the
same. Successful candidates will be responsible for developing
research projects and contributing to the Programme's
community-building activities. These posts will be based in either
DAMTP or the Department of Physics, with candidates working with the
following supervisors: - With Professor Carola-Bibiane Schonlieb
(DAMTP), working on inverse problems and image analysis for scientific
research challenges. - With Dr Sarah Teichmann FMedSci FRS (Physics),
working on the application of machine learning methods to biological
datasets. The roles are offered on a fixed term basis for two
years. We strongly encourage candidates to review the Supervisor
profile pages and their associated research group to learn more about
current research projects and opportunities. The successful applicants
will be expected to have: - A PhD in a relevant specialist subject; -
Research experience in a relevant discipline, demonstrating sufficient
specialist knowledge and methods to work within established research
programmes; - Experience of working in interdisciplinary environments
and strong motivation to apply AI for scientific discovery; -
Organisational skills and the ability to manage their own workload; -
Communication skills and the ability to communicate research clearly
to diverse stakeholders; - Relationship-building skills and the
ability to work in multidisciplinary teams.

Application deadline is the 5th of December 2022.

If you want to know more about these positions and how to apply please
visit https://www.jobs.cam.ac.uk/job/36949/

If you have specific questions concerning the research remit of these
positions please email Carola-Bibiane Schonlieb at
schoenlieb-pa@maths.cam.ac.uk


From: Idoia Hernandez recruitment@bcamath.org
Date: November 21, 2022
Subject: Research Technician Position, CFD, BCAM, Spain


Basque Center for Applied Mathematics is offering a Research
Technician in Computational Fluid Dynamics in the framework of H2020
MSCA-IF-GF-2018 Marie SkBodowska-Curie project AEROSIMULAT
(Ref. 842536) to work with Margarida Moragues in CFD Modelling and
Simulation group at BCAM. The researcher will work in: Simulation of
fluid flows for industrial problems (turbine blades, jets, etc.); Use
and development of the CFD open-source; Software Nektar++; Code
debugging; Mesh generation.

Deadline: 28 November 2022
Applications at:
http://www.bcamath.org/en/research/job/ic2022-10-research-technician-in-computational-fluid-dynamics
Contract: 6 months

Requirements: M.S. in Computer Science or related studies

Skills: Good interpersonal skills. Fluency in spoken and written
English. A minimum level of experience in research. Demonstrated
ability to work independently and as part of a collaborative research
team. Ability to present and publish research outcomes in spoken
(talks) and written (papers) form. Ability to effectively communicate
and present research ideas to researchers and stakeholders with
different backgrounds.

The preferred candidate will have: Strong programming background (C++,
Python). Knowledge of Computational Fluid Dynamics or related
disciplines. Knowledge of mesh generation (CAD software; Gmsh, Salome
or similar mesh generation softwares). Interest and disposition to
work in interdisciplinary groups.


From: Olaf Schenk olaf.schenk@usi.ch
Date: November 10, 2022
Subject: Postdoc Position, Advanced Computing Laboratory, Switzerland


The Advanced Computing Laboratory at the Institute of Computing at
Universita della Svizzera italiana (USI) is looking for two
Ph.D. students and one PostDoc. These positions offer a wide range of
research challenges at the forefront of technology development.

Our research, which is funded by the DFG and SNSF, aims to develop
computational approaches that address basic issues posed by
large-scale analytics, deep analysis, and precise forecasts by
advancing and laying the groundwork for the next generation of
sparsified numerical methods. The algorithms suggested in this project
are based on an innovative combination of sparsified numerical linear
algebra and nonlinear optimization approaches for data-intensive
applications. The inherent determinism of these methods, combined with
high communication demands, necessitates the development of robust
approximation methods under extreme-scale computer science
conditions. This comprises scientific libraries that provide
high-quality, reusable software components for application
development, as well as increased resilience and portability.

Please find more details under:
https://eth-gethired.ch/de/jobs/detail/?id=3D3def1e18-2360-ed11-80ea-bf595507634f


From: Gabriele Steidl steidl@math.tu-berlin.de
Date: November 23, 2022
Subject: Postdoc Position, Applied Analysis, TU Berlin, Germany


Working field: The position is located in the working group Modelling,
Numerics and Differential Equations.

Participation in research and teaching in the field of applied
analysis, in particular the candidate should be identified in one of
the areas: inverse problems; machine learning; harmonic Analysis;
mathematical image and data processing (including
geometric/stochastic/variational aspects); functional analysis.

Requirements: successfully completed university degree (Master, Diplom
or equivalent) in mathematics; completed doctorate in mathematics of
outstanding quality; in-depth knowledge in the above areas; very good
ability to work in a team; very good command of English, good command
of German or the willingness to learn it.

Further information can be found at
https://www.math.tu-berlin.de/index.php?id=3D217177&L=3D1


From: Jorge Tiago jorge.tiago@tecnico.ulisboa.pt
Date: November 10, 2022
Subject: Postdoc Position, Computational Fluid Mechanics, Portugal


The CEMAT at the University of Lisbon
(https://cemat.ist.utl.pt/main.php) opens a call for a postdoc grant
(BL225/2022-IST-ID) to work on the development of mathematical and
computational techniques for data assimilation in the frame of blood
flow modeling. Experience with fluid mechanics and cardiovascular
modeling will be an advantage. The call is open from November 11 to
November 24, 2022. Information about how to apply can be found at
https://ist-id.pt/concursos/bolsas/ (call BL225/2022-IST-ID)

Informal inquiries: jorge.tiago@tecnico.ulisboa.pt


From: Jerome Bobin jerome.bobin@cea.fr
Date: November 22, 2022
Subject: Postdoc Position, Image Processing/ML, France


A 2-years postdoc position is open at CEA/Universite Paris-Saclay in
image processing/machine learning. This project is dedicated to the
development of new hybrid methods to tackle semi-supervised unmixing
problems from multi/hyperspectral images. More information are
available :
https://www.dropbox.com/s/shyplokthuxbedr/Postdoc_HybridMethods.pdf?dl=3D0


From: Hongqiu CHEN hchen1@memphis.edu
Date: November 06, 2022
Subject: Postdoc Position, Mathematical Sciences, USA


The Department of Mathematical Sciences at the University of Memphis
(UofM) seeks to hire two applicants for two-year post-doctoral
positions in Analysis (with the possibility of renewal for a third
year-pending budgetary allocations) beginning Spring 2023. Preference
will be given to one candidate in the field of ergodic theory or
dynamical systems and one candidate in the field of applied
mathematics with emphasis on partial differential equations.

Candidates must have received a Ph.D. within the last 3 years;
demonstrate potential for excellence in research; and have a
commitment to undergraduate and graduate teaching. The teaching load
will be three semester courses per year. Salary is competitive and
includes benefits.

For full consideration, applicants must complete an on-line
application at https://workforum.memphis.edu/

Documents required include an American Mathematical Society (AMS)
coversheet, curriculum vitae, teaching statement, research statement,
and three letters of recommendations. At least one of the letters
should address the teaching ability and experience of the
applicant. Additionally, a brief statement giving the applicant's
motivation for coming to the University of Memphis should be
included. It is suggested that the applicants familiarize themselves
with our faculty at https://www.memphis.edu/msci/people/index.php so
that they may be sure of their alignment. Application process will
commence immediately and may continue until the position is filled.


From: Linda Stals linda.stals@anu.edu.au
Date: November 20, 2022
Subject: Postdoc Position, Mathematics, Australian National Univ


The Mathematical Sciences Institute is seeking to offer a number of
fixed term appointments at the Academic Level B and/or Level C (Level
B equates to the position of Assistant Professor and Level C equates
to the position of Associate Professor within the United States of
America). These positions are established for mid to later career
academics to pursue their research-focused career in any field of
mathematics, preferably in the research interests that align with one
or more of the existing research programs within the department.

Applicants are expected to have an outstanding record in research,
teaching and administration relevant to the level of their
application. The positions involve some teaching both in the
candidate's area of specialisation and standard mathematics
undergraduate courses, however this will be at a reduced level. These
Fellowships will have access to an annual research support grant to
cover start-up costs, visitors and conference travel.

For more information please see
https://www.mathjobs.org/jobs?joblist-539 or contact
ea.msi@anu.edu.au.


From: J. Lu jianlu1979@163.com
Date: November 23, 2022
Subject: Postdoc Position, Numerical Comp/Optim/Wavelet/ML, China


Job Type: Full-Time for PostDoc
Duration: 2 years
Number of Position: 2 Positions
Salary for Postdoc: about 340,000 RMB (about 48892 US dollars) --
420,000RMB (about 60396 US dollars) per year.
Closing Date: Open Until Filled.

Description: We have projects that are looking for Postdoc in
Wavelet/Fourier analysis, Optimization, Numerical Computing,
Image/Video/Signal Processing/Analysis, Matrix theory, Harmonic
Analysis, 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: jianlu@szu.edu.cn;
jianlu1979@163.com)

Those who are interested in Research Scientist/Postdoc please send
their C.V. to Prof. Dr. Jian Lu (email: jianlu@szu.edu.cn;
jianlu1979@163.com ).


From: Pedro S. Peixoto ppeixoto@usp.br
Date: November 07, 2022
Subject: Postdoc Position, Numerical Geophysical Fluid Dynamics, Brazil


The FAPESP Research Programme on Global Climate Change project on
Numerical Methods for a New Generation of Weather and Climate Models
invites applications for up to 2 postdoctoral positions to work at the
Institute of Mathematics and Statistics of the University of Sao
Paulo. The positions are for two years, and renewable twice for up to
four years, with no teaching responsibilities. We are looking for
candidates with strong research potential in numerical methods for
geophysical fluid dynamics to work on developing methods for global
weather and climate models.

Profile: Young researcher obtaining or having obtained a PhD in the
past 7 years, with experience in numerical methods for fluid dynamics,
atmosphere/ocean modelling, and programming in Fortran/C/C++.
Location: Institute of Mathematics and Statistics of the University of
Sao Paulo - Brazil
Contract: Post-doctoral position financed by FAPESP. This is a
research- only position, with no teaching or admin duties. (Details:
https://fapesp.br/en/postdoc)
Duration: 24 (extendable to 48) months.
Starting date: Flexible, preferably in the first semester of 2023.

Application procedure: 1) Send an e-mail to ppeixoto@usp.br with:
Subject line: Postdoc FAPESP; CV + list of publications; Letter of
interest indicating previous experience in the development of
numerical methods and/or weather and climate modelling; 2) Arrange for
two or three recommendations to be sent directly by the authors to the
above email, including one from the former PhD advisor.

Deadline for application: December 31, 2022.
Results: January 23, 2023.

Further information:
https://www.ime.usp.br/~pedrosp/people/postdoctoral-position-on-numerical-geophysical-fluid-dynamics/


From: Andrii Dmytryshyn andrii.dmytryshyn@oru.se
Date: November 23, 2022
Subject: Postdoc Position, Orebro Univ, Sweden


Orebro University and the School of Science and Technology are looking
for a postdoc in mathematics.

The project is about data completion problem for motion capture
systems. Motion-capture systems are used for investigating and
improving various mechanical processes. There are many ways of
tracking motion using such systems. In the project we focus on the
problems associated with the usage of passive markers and video
recording. This type of tracking requires that the markers are visible
in the video which is not always the case. Therefore, tracking the
motions may become problematic or even impossible and, therefore, a
sophisticated method for completing the data from the missing markers
is needed.

If you are interested write to andrii.dmytryshyn@oru.se as soon as
possible.


From: Michele Benzi michele.benzi@sns.it
Date: November 16, 2022
Subject: Postdoc Positions, CRM-Scuola Normale Superiore, Italy


The "Centro di Ricerca Matematica Ennio De Giorgi" (CRM-PISA) invites
applications for five two-year Junior Visiting Positions (2023-2025)
for the following subject matters:
1. Algebraic Geometry and/or Number Theory;
2. Topology, Differential Geometry and/or Geometric Analysis;
3. Partial Differential Equations and/or Probability;
4. Numerical Analysis and/or Financial Mathematics;
5. Dynamical Systems.

Successful candidates will be new or recent PhDs in Mathematics with
an exceptional research potential. PhD students can also apply,
provided they obtain their PhD no later than 1st October 2023.
Candidates must apply for a specific and single subject matter among
the 5 specified above.

Deadline for application: 12th January 2023 at 4:00PM (Italian time).

To submit application please link to the ANNOUNCEMENT at:
https://amministrazionetrasparente.sns.it/bando/junior-visiting-positions-2023-2025

Centro di Ricerca Matematica "Ennio De Giorgi"
Scuola Normale Superiore
Piazza dei Cavalieri, 3
56126 Pisa, Italy


From: Benjamin Peherstorfer pehersto@cims.nyu.edu
Date: November 08, 2022
Subject: Postdoc Positions, Instructor/Faculty Fellow, Courant, NYU


There are multiple postdoctoral positions open at Courant Institute of
Mathematical Sciences, New York University.

1. Courant Instructorships are highly competitive postdoctoral
positions for recent PhDs. Candidates must have a degree in
mathematics or an affiliated field. All areas of mathematics are
considered, in particular computational and applied mathematics as
well as machine learning and data science. These appointments last up
to three years and carry a teaching load of one course per
semester. For full consideration, applications for Courant
Instructorships are due December 1, 2022 for the following academic
year. More details are here:
https://math.nyu.edu/dynamic/about/job-openings/#courant_instructorships
Applications must be submitted via Interfolio:
https://apply.interfolio.com/112235

2. The NYU Courant Institute department of Computer Science is
recruiting a limited number of Assistant Professor / Faculty Fellow
(non-tenure-track) positions in Computer Science. All areas of
Computer Science are considered, in particular machine learning, data
science, optimization, scientific machine learning, and scientific
computing. Applications will be considered on a rolling basis until
February 2023 but it is encouraged to apply before the end of December
2022. More information is available here:
https://cs.nyu.edu/home/jobs/openings.html#fellows Applications must
be submitted via Interfolio: https://apply.interfolio.com/116896


From: Dietmar Gallistl dietmar.gallistl@uni-jena.de
Date: November 10, 2022
Subject: Postdoc Positions, NA of PDEs, Germany


We have open postdoc positions (to be filled asap) in Numerical
Analysis of PDEs at U Jena (Germany). We offer fixed-term positions (3
years) at the usual TVL E-13 level. Applications or queries can be
sent, preferably before 15th Dec 2022, to dietmar.gallistl@uni-jena.de .

More information on our working group can be found under
https://www.numerik.uni-jena.de/ .


From: Philipp Neumann philipp.neumann@hsu-hh.de
Date: November 09, 2022
Subject: PhD/Postdoc Position, High Performance Computing, Germany


At Helmut Schmidt University Hamburg, a position is available from the
next possible date for a Research Assistant (m/f/d), Salary group 13
TVoD; 39 hours per week, for a limited period period of 3 years. The
research tasks of this position deal with the development of novel
algorithms, efficient implementations or efficient data analysis
methods on current HPC systems. Possible foci of the work arise in the
scope of multiscale flow simulation development with the software
MaMiCo which is developed at the chair as well as with regard to
collaborative developments of molecular dynamics simulations. The HPC
group has various HPC systems and access to a PetaFLOP-enabled HPC
cluster, providing excellent conditions for hardware-related and
algorithmic performance investigations and related research. The group
is further involved in a wide range of HPC activities and projects,
providing an exciting research environment and the opportunity to
explore future-oriented technologies.

The official posting of the job description including final
application deadline and application procedures is available here:
https://www.hsu-hh.de/karriere/wp-content/uploads/sites/658/2022/11/Reference-Number-MB-4122.pdf

In case of questions, feel free to contact Philipp Neumann,
philipp.neumann@hsu-hh.de. For application, send your usual documents
mentioning the reference number MB-4122 to personaldezernat@hsu-hh.de.


From: Hartwig Anzt hartwig.anzt@kit.edu
Date: November 07, 2022
Subject: PhD/Postdoc Position, SW Dev/HPC, Climate Research, Germany


We at KIT and partners at DKRZ, DWD and MPI-M have multiple open
positions on the Ph.D./PostDoc level in high-performance computing for
climate research, modern software design, and allowing performance
portability for complex, widely-used software. Knowledge of modern C++
and performance portable device programming is mandatory. Knowledge of
Fortran programming and sustainable software development (git, CI, CB,
unit tests, etc.) is a strong plus. The positions are part of a major
project named WarmWorld to modernize the ICON climate research and
numerical weather prediction (NWP) code. This project targets scalable
performance and code development for the next-generation
supercomputers. The goals are 1) better scalability and performance
portability to allow ICON to be more efficient on modern Exascale
machines and 2) enabling km-scale simulations. At the same time, the
code should be modularized to leverage new technologies, bring
scalable code development and become more accessible to scientists. In
this project, you will have the opportunity to collaborate with
renowned experts in the field of numerical weather prediction and
climate research. You will be part of an agile and diverse team with
expertise in modern performance portable and sustainable research
software development. If you want to contribute to leading climate
research, you have skills in modern software design and sustainable,
portable, GPU-enabled software programming applied to a complex
widely-used code; we would like to see your application.


From: Michael Multerer michael.multerer@usi.ch
Date: November 21, 2022
Subject: PhD/Postdoc Positions, USI, Switzerland


2 PhD positions (computer science, mathematics or similar) and 1
PostDoc position (mathematics) are available at the Euler institute of
the Universita della Svizzera italiana. The positions are funded by
the SNSF Starting grant "Multiresolution methods for unstructured
data":

Rapidly increasing unstructured data is omnipresent in our everyday
lives. Typical examples are data from social networks, text and audio
data, photos, and videos, but also scientific measurements and
simulation data. Efficient processing and analysis of these data have
become vital for our society. In "Multiresolution methods for
unstructured data", we develop novel and fully discrete data-centric
multiresolution approaches tailored to unstructured data, focusing on
efficient algorithms for computational uncertainty quantification and
adaptive strategies for active learning and non-smooth data.

The official announcement with further details can be found at
https://www.euler.usi.ch/jobs.


From: Michael Schneier michael.schneier@unnpp.gov
Date: November 15, 2022
Subject: Graduate Student Rickover Fellowship Position


Applications are now open for the Rickover Fellowship program for
eligible graduate students. This program is designed to meet the needs
of the Naval Reactors Division of the U.S. Department of Energy (DOE)
for doctoral level employees for the development of science and
engineering technology, including computational science technologies,
as it pertains to naval nuclear propulsion. Technical areas of
interest include computational fluid dynamics, thermal hydraulics,
fluid-structure interaction, artificial intelligence/machine learning,
and reactor physics. Benefits include full tuition support, as well as
a generous stipend for up to 48 months. Applicants must be
U.S. citizens and able to obtain a security clearance.

Full details on the program and application process can be found at
https://www.scuref.org/rfp/.


From: Othmar Koch othmar@othmar-koch.org
Date: November 20, 2022
Subject: PhD Position, Computational Astrophysics, Austria


We announce a Ph.D. position in the area 'Computational Astrophysics'
at the University of Vienna, Austria, funded by the Austrian Science
Fund (FWF) for an initial period of 2 years with possible extension
for at least a third year. The successful applicant (m/f/d) will work
at the research platform MMM "Mathematics-Magnetism-Materials"
(mmm.univie.ac.at) c/o Fak. Mathematik Univ.Wien, as a member of the
ACORE group (https://acore.univie.ac.at/) on numerical methods and
computer simulations for magnetohydrodynamics of the solar surface, in
particular on developing the ANTARes code.

The successful applicant is expected to Develop and implement new
numerical methods for Computational (Magneto) Hydro Dynamics,
e.g. Operator splitting methods and (symplectic) time integrators;
Apply them in large-scale, highly parallelized simulations of the
solar surface; Visualize and interpret the results.

Candidates interested in this position hold a master's degree in
applied mathematics, computational sciences, computational physics or
a master's degree in (astro)physics with focus on numerical
mathematics and scientific computing. Experience in numerical
modelling and programming skills in either C/C++ or Fortran are
expected. The candidate should be eligible for a doctoral study in
natural sciences/mathematics at the University of Vienna.

Candidates must already be authorized to work in the EU. The
application by e-mail contains the following attachements: a) 1/2 page
motivation letter; b) 1 page CV, with a report on university credits;
c) a proof of language skills, if not native speakers of English or
German; d) a summary of research work (including publications); e)
names of two scientists willing to write a recommendation letter.

Applications are sent to the PI of the project at othmar@othmar-
koch.org . Applications are welcome until the position is filled.



From: Francesca Mazzia francesca.mazzia@uniba.it
Date: November 22, 2022
Subject: PhD Position, Computer Science and Mathematics, Italy


Four positions with fellowships are open in the PhD PROGRAMME IN
COMPUTER SCIENCE AND MATHEMATICS of the University of Bari. Students
with Computer Science and/or Mathematics backgrounds are welcome to
apply. Information about the positions and the admission requirements
can be found at:
https://www.uniba.it/it/ricerca/dottorati/38-ciclo-2022-2023/bando-2-1
The application for participation in the selection must be submitted
using only the appropriate procedure available at
https://pica.cineca.it/uniba/dottorati38-pnrr/ no later than 19
December 2022 at 12.00 (Italian time CET), under penalty of exclusion
from the selection.

If you have any questions, please contact Prof. Francesca Mazzia, the
coordinator of the PhD program: francesca.mazzia@uniba.it


From: Lisa Maria Kreusser lmk54@bath.ac.uk
Date: November 20, 2022
Subject: PhD Position, ML and Differential Equations, Univ of Bath, UK


Two funded PhD positions at the interface of machine learning,
differential equations and computational mathematics are available at
the University of Bath (UK) for a start in early October 2023:

1) Applications are invited for a 4-year fully funded PhD position
(home & international students) on transparent machine learning,
differential equations and computational mathematics at the University
of Bath. This position is supervised by Dr Xi Chen and Dr Lisa Maria
Kreusser, and is funded by the UKRI Centre for Doctoral Training (CDT)
in Accountable, Responsible and Transparent AI (ART-AI). For further
information on the PhD position, see
https://www.findaphd.com/phds/project/transparent-ai-
and-differential-equations/?p137666 or email lmk54@bath.ac.uk

2) Applications are invited for a 3-year fully funded PhD position
(home fees only) on machine learning and differential equations at the
University of Bath. This position is supervised by Prof. Chris Budd
and Dr Lisa Maria Kreusser and is funded by the EPSRC Programme Grant
EP/V026259/1 on the "Mathematics of Deep Learning" (Maths4DL) which is
a joint programme run by the University of Bath, the University of
Cambridge and University College London. For further information on
the PhD position, see
https://www.findaphd.com/phds/project/maths-4dl-phd-project-
synergies-between-differential-equations-and-machine-learning/?p150548
or email lmk54@bath.ac.uk


From: Pierre Marchand aex-optigpr3d-phd@inria.fr
Date: November 08, 2022
Subject: PhD Position, Numerical Analysis, Inria Saclay Centre


A PhD position on "Numerical methods and high performance simulation
for 3D imaging in complex media" is available at Inria Saclay Centre
at Institut Polytechnique de Paris (Palaiseau, France). This PhD is
part of the OptiGPR3D exploratory action
(https://www.inria.fr/en/optigpr3d) led by IDEFIX and POEMS research
teams at Inria Saclay Centre
(https://www.inria.fr/en/inria-saclay-centre), in collaboration with
EDF (https://www.edf.fr). Its objective is to introduce versatile and
robust simulation tools that can adapt to complex materials while
remaining efficient, in the perspective of making 3D electromagnetic
imaging feasible and certifiable through interpretable and optimized
inversion methods.

Candidates should have a 2nd year Master's degree (or equivalent),
with skills in numerical analysis (PDE, finite element method, linear
algebra, &) and programming (e.g. C/C++, Python, &). A (final year)
Master internship subject preceding this PhD offer is available.

For more details on the positions and the instructions to apply, see

Master internship offer:
https://uma.ensta-paris.fr/idefix/documents/internship_AEx_en.pdf

PhD offer:
https://uma.ensta-paris.fr/idefix/documents/these_AEx_en.pdf

Supervisors' email address:
aex-optigpr3d-phd@inria.fr


From: Lehel Banjai l.banjai@hw.ac.uk
Date: November 11, 2022
Subject: PhD Positions, Maxwell Institute, Heriot-Watt Univ, UK


Every year Heriot-Watt University and the Maxwell Institute,
Edinburgh, advertise a number of fully funded PhD Scholarships.

Applications are open in any area of Pure and Applied Mathematics,
including (but not restricted to) Algebra, Mathematical Physics,
Analysis of PDEs, Inverse Problems, Uncertainty Quantification,
Calculus of Variations, Probability, Stochastic Analysis, Numerical
Analysis, Mathematical Biology and Ecology, Modelling, Actuarial
Mathematics etc.

The deadline for applications is 23rd of January 2023. We will accept
applications also after this deadline, but best chances are before
January 23rd.

For information on our programmes, see
https://www.maxwell.ac.uk/graduate-school/

A description of the PhD projects offered by the HW research groups
can be found here:
https://www.hw.ac.uk/uk/schools/mathematical-computer-sciences/research/phd/phd-opportunities-in-mathematical-sciences.htm

We actively promote Equality, Diversity and Inclusion and welcome
applications from all qualified applicants.


From: Armin Iske armin.iske@uni-hamburg.de
Date: November 19, 2022
Subject: PhD Positions, Modeling, Simulation & Optimization, Germany


The Hamburg Research Training Group (RTG2583) "Modeling, Simulation
and Optimization of Fluid Dynamic Applications" invites applications
for nine research associates (PhD students), where the positions may
be filled from April 1, 2023, or later. The salary is in accordance
with the German public service at salary level E13 TV-L, with 75% of
the standard working hours per week. The positions are on fixed-term
contracts for a period of three years.

We are looking for highly motivated team players, who have a sound
background in applied mathematics, with expertise in at least one of
the RTG's research areas Modeling, Simulation, or
Optimization. Preference is given to candidates with profound
experience in relevant fluid dynamic applications. For details
concerning the RTG's research profile, we refer to
https://www.c3s.uni-hamburg.de/rtg2583/research.html.

Applicants are requested to follow the instructions in the job
announcement, which is accessible through
https://www.c3s.uni-hamburg.de/rtg2583/open-positions.html, especially
for the required application material.

The job announcement will be open until all nine PhD positions are
filled, but the first round of decisions will be made shortly after
the first deadline of December 18, 2022.


From: Karsten Kahl kkahl@uni-wuppertal.de
Date: November 22, 2022
Subject: PhD Positions, Scientific Computing


Applications are invited for 15 Marie SkBodowska-Curie fellowships
within the European Joint Doctorate program AQTIVATE starting the Fall
Semester of 2023 for a duration of three years. The 15 PhD Marie
SkBodowska-Curie fellows will pursue research in Lattice QCD, Quantum
Computing, Computational Biology, and Computational Fluid Dynamics and
Mathematical Modelling and Algorithms. Applications are welcome from
candidates worldwide with relevant scientific background and a keen
interest in simulation, machine learning and quantum computing. The
fellowships include an attractive remuneration package, and mobility
and family allowances. The selected fellows will be admitted as PhD
students at two European institutions of the AQTIVATE consortium
receiving a joint PhD degree upon successful completion of their
program of studies. The institutions involved are the University of
Cyprus, The Cyprus Institute, Telecom Paris - Institut Polytechnique
de Paris, Technical University of Berlin, Wuppertal University,
University of Rome Tor Vergata, Padova University, KTH Royal Institute
of Technology in Stockholm and Aachen University with the Research
Center Julich. Applications must be submitted using the online
application system at https://aqtivate.ucy.ac.cy/apply-now/

The deadline for applications is 23rd of December 2022.

For further information on admissions, requirements and eligibility
criteria please visit the AQTIVATE website https://aqtivate.ucy.ac.cy
or contact the AQTIVATE Project Office at
mailto:aqtivate-project@cyi.ac.cy



From: Amelia Sun amelia.sun@mdpi.com
Date: November 14, 2022
Subject: CFP, Symmetry, Special Issue


The purpose of this issue is to demonstrate soliton solutions, Darboux
transformations, symmetry of differential equations and Hamiltonian
structure, and so on.

Soliton theory and integrable systems are important aspects of
mathematical physics. Subtopics include soliton solutions, symmetry
analysis, Darboux transformation, Hamiltonian structure, and so on.

Darboux transformation of integrable equations is an important tool
for searching for soliton solutions through spectral problems or Lax
pairs. Symmetry obtained by the Lie group of transformations is
important in the unusual properties of ordinary differential equations
and partial differential equations, which has extensive applications
in physics science.

More information can be found at:
https://www.mdpi.com/journal/symmetry/special_issues/Symmetry_Integrable_System

If you are interested, please contact the Symmetry Editorial Office
(symmetry@mdpi.com), or the leading Guest Editor, Prof. Dr. Yufeng
Zhang (mathzhang@126.com).


From: Ali R. Soheili soheili@um.ac.ir
Date: November 16, 2022
Subject: Contents, Iranian J Numerical Analysis and Optimization, 12 (3)


We are pleased to deliver you the latest issue of the Iranian Journal
of Numerical Analysis and Optimization (Volume 12, Issue 3 (Special
Issue) - On the occasion of the 75th birthday of Professor A. Vahidian
and Professor F. Toutounian, Autumn 2022), is online now.

Further information is available on the website:
https://ijnao.um.ac.ir/

1. Estimation of the regression function by Legendre wavelets,
M. Hamzehnejad; M.M. Hosseini; A. Salemi

2. Using shifted Legendre orthonormal polynomials for solving
fractional optimal control problems, R. Naseri; A. Heydari;
A.S. Bagheradeh

3. On stagnation of the DGMRES method, F. Kyanfar

4. Deception in multi-attacker security game with nonfuzzy and fuzzy
payoffs, S. Esmaeeli; H. Hassanpour; H. Bigdeli

5. A two-phase method for solving continuous rank-one quadratic
knapsack problems, S.E. Monabbati

6. Numerical solution of nonlinear fractional Riccati differential
equations using compact finite difference method, H. Porki;
M. Arabameri; R. Gharechahi

7. A numerical approximation for the solution of a time-fractional
telegraph equation based on the Crank-Nicolson method, H. Hajinezhad;
A.R. Soheili

8. Differential transform method: A comprehensive review and analysis,
S.H. Hashemi Mehne

9. Global and extended global Hessenberg processes for solving
Sylvester tensor equation with the low-rank right-hand side,
T. Cheraghzadeh; F. Toutounian; R. Khoshsiar Ghaziani

10. Shooting continuous Runge-Kutta method for delay optimal control
problems, T. Jabbari Khanbehbin; M. Gachpazan; S. Effati; S.M. Miri

11. A new iteration method for solving space fractional coupled
nonlinear Schrodinger equations, H. Aslani; D. Khojasteh Salkuyeh;
M. Taghipour

12. An efficient design for solving discrete optimal control problems
with time-varying multi-delays, S.M. Abdolkhaleghzade; S. Effati;
S.A. Rakhshan

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 to read, download and share,
without any subscription charges or registration barriers.


From: Yonghui Yu yyu@lsec.cc.ac.cn
Date: November 14, 2022
Subject: Contents, Journal of Computational Mathematics, 40 (6)


Journal of Computational Mathematics, Volume 40 (2022), issue 6
https://www.global-sci.org/intro/articles_list/jcm/2290.html

CONTENTS

Boundary Integral Equations for Isotropic Linear Elasticity, Benjamin
Stamm and Shuyang Xiang

Stabilized Nonconforming Mixed Finite Element Method for Linear
Elasticity on Rectangular or Cubic Meshes, Bei Zhang, Jikun Zhao,
Minghao Li and Hongru Chen

An L\infty Second Order Cartesian Method for 3D Anisotropic Interface
Problems, Baiying Dong, Xiufeng Feng and Zhilin Li

Improved Harmonic Incompatibility Removal for Susceptibility Mapping
via Reduction of Basis Mismatch, Chenglong Bao, Jianfeng Cai, Jae Kyu
Choi, Bin Dong and Ke Wei

A Two-grid Finite Element Approximation for Nonlinear Time Fractional
Two-term Mixed Sub-diffusion and Diffusion Wave Equations, Yanping
Chen, Qiling Gu, Qingfeng Li and Yunqing Huang

A Stochastic Algorithm for Fault Inverse Problems in Elastic Half
Space with Proof of Convergence, Darko Volkov

Stable Boundary Conditions and Discretization for PN Equations, Jonas
Bunger, Neeraj Sarna and Manuel Torrilhon

Wen A Stochastic Trust-region Framework for Policy Optimization,
Mingming Zhao, Yongfeng Li and Zaiwen


From: Raiondas Ciegis rc@vgtu.lt
Date: November 11, 2022
Subject: Contents, Mathematical Modelling and Analysis, 27 (4)


MATHEMATICAL MODELLING AND ANALYSIS

The Baltic Journal on Mathematical Applications, Numerical Analysis
and Differential Equations, ISSN 1392-6292, ISSN 1648-3510 online,
Electronical edition: http://mma.vgtu.lt

Raimondas Ciegis (Editor) Volume 27, Issue 4, 2022 (p.533-690)

CONTENTS

Abdelali Sabri, Weak Solution for Nonlinear Fractional
$p(.)$-Laplacian Problem with Variable Order via Rothe's
Time-Discretization Method

Danilo Costarelli, Density Results by Deep Neural Network Operators
with Integer Weights

Mariana Chivu Cojocaru and Andaluzia Matei, Weak Solutions via
Two-Field Lagrange Multipliers for Boundary Value Problems in
Mathematical Physics

Natali Hritonenko, Caroline Satsky and Yuri Yatsenko, Integral Model
of COVID-19 Spread and Mitigation in UK: Identification of
Transmission Rate

Hamidreza Marasi and Mohammadhossein Derakhshan, A Composite
Collocation Method Based on the Fractional Chelyshkov Wavelets for
Distributed-Order Fractional Mobile-Immobile Advection-Dispersion
Equation

Kristina Pupalaig\.{e}, Mifodijus Sapagovas and Regimantas Ciupaila,
Nonlinear Elliptic Equation with Nonlocal Integral Boundary Condition
Depending on Two Parameters

Mohammad M. Shoheib, Shahram Shahrooi, Mohammad Shishehsaz and Mahdi
Hamzehei, B\'ezier Base Extended Isogeometric Numerical Method for
Thermo Elastic-Plastic Analysis of Crack Propagation in Cracked Plate
under Welding Residual Stress and Thermal Load



End of Digest