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
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 Fractionalp(.)\$-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

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