Subject: NA Digest, V. 22, # 30 NA Digest Monday, September 19, 2022 Volume 22 : Issue 30 Today's Editor: Daniel M. Dunlavy Sandia National Labs [log in to unmask] Today's Topics: Call for Site Proposals, ICCOPT 2025 Call for Nominations, BGCE Student Paper Prize New Book, Nature Inspired Methods for Optimization POEMs Workshop, Italy, Dec 2022 Mathematics and Image Analysis (MIA), Germany, Feb 2023 Nonlinear Model Reduction for Control, USA, May 2023 Faculty Positions, Mathematics of Data/HPC, Virginia Tech Faculty and Postdoc Positions, Mathematics, Emory Univ Assistant Professor Position, Data Science/Statistics, Univ of Memphis Research Assistant Position, Stats/ML/Image Processing, WIAS Postdoc Position, NLP/ML, Tufts Univ Postdoc Position, Numerical Analysis, IMAG Postdoc Positions, Optimization, Univ of Graz, Austria PhD Position, CFD/Algorithm Dev, Aerodynamic Digital Twins PhD Position, Scalable Algorithms for AMR, Germany Prospective PhD Students Fair, UC Irvine/SDSU, Oct 2022 Contents, Comm on Applied Mathematics and Computation, 4 (4) Contents, J. Numer. Anal. Approx. Theory 51 (1) Subscribe, unsubscribe, change address, or for na-digest archives: http://www.netlib.org/na-digest-html/faq.html Submissions for NA Digest: http://icl.utk.edu/na-digest/ ------------------------------------------------------- From: Mikhail Solodov [log in to unmask] Date: September 18, 2022 Subject: Call for Site Proposals, ICCOPT 2025 The ICCOPT Steering Committee of the Mathematical Optimization Society (MOS) is requesting proposals for organizing ICCOPT VIII, the 8th International Conference on Continuous Optimization, which is scheduled to be held in or around August 2025. Being the flagship conference of MOS in the area of continuous optimization, ICCOPT is held every three years. For further information, see http://www.mathopt.org/?nav=iccopt25_call Submission deadline: 12:00 GMT, December 15, 2022 to the Chair of the ICCOPT Steering Committee: Mikhail Solodov ([log in to unmask]). Hosts of the candidate sites are encouraged to send an email as soon as possible to the Committee Chair to indicate interest to submit a proposal. ------------------------------------------------------- From: Tobias Neckel [log in to unmask] Date: September 14, 2022 Subject: Call for Nominations, BGCE Student Paper Prize The 9th BGCE Student Paper Prize will be awarded at the 2023 SIAM CS&E Conference, February 26 - March 3, for outstanding student work in the field of Computational Science and Engineering. Founder of the prize is the Bavarian Graduate School of Computational Engineering (BGCE, http://www.bgce.de/ ). The prize winner will be invited to spend one week in Bavaria, Germany, visiting BGCE sites in Erlangen and Munich. The main objective is to promote excellent students in CS&E and to foster international exchange at an early career stage. Eligible for the prize will be undergraduate and graduate students prior to receiving their PhD (at date of submission). Candidates are required to summarize their work in a short 4-page paper. The prize finalists will be asked to present their work at SIAM CS&E 2023 at a special "CS&E Student Prize Minisymposium". The papers and talks will be evaluated by an international prize committee. Excluded from the competition are only students from our own universities, FAU and TUM. Deadline for submissions to the BGCE Student Paper Prize is December 4, 2022. Submissions should be sent in pdf format via email with keyword "BGCE prize" in the subject to [log in to unmask] Since we are interested in a broad and high-level competition, as in 2007, 2009, 2011, 2013, 2015, 2017, 2019 and 2021, we ask you to encourage suitable candidates to submit a paper and to support their participation in SIAM CS&E 2023. Please see https://www.bgce.de/news/9th-bgce-student-paper-prize/ for further details. ------------------------------------------------------- From: Eric Fraga [log in to unmask] Date: September 19, 2022 Subject: New Book, Nature Inspired Methods for Optimization Nature inspired methods for optimization: A Julia primer for process engineering A new book on using Julia to implement and apply nature inspired methods is now available. Both the web version (http://tiny.cc/nl5yuz) and all the code are freely available. An ebook (PDF) is also available for purchase from leanpub.com and a link is given in the web page. Short description: Nature inspired methods for optimization have been available for many years. They are attractive because of their inspiration and because they are comparatively easy to implement. This book aims to illustrate this, using a relatively new language, Julia. Julia is a language designed for efficiency. The case studies, from industrial engineering with a focus on process engineering, have been fully implemented within the book, bar one example which uses external codes. All the code is available for readers to try and adapt for their particular applications. This book does not present state of the art research outcomes. It is primarily intended to demonstrate that simple optimization methods are able to solve complex problems in engineering. As such, the intended audience will include students at the Masters or Doctoral level in a wide range of research areas, not just engineering, and researchers or industrial practitioners wishing to learn more about Julia and nature inspired methods. ------------------------------------------------------- From: Michele Botti [log in to unmask] Date: September 12, 2022 Subject: POEMs Workshop, Italy, Dec 2022 We would like to draw your attention to the Workshop POEMS22 that will take place at the Politecnico di Milano on December 12th-14th, 2022. The development and analysis of numerical methods for the approximation of the solution to Partial Differential Equations (PDEs) on polygonal and polyhedral meshes have undergone explosive interest in recent years among the scientific community. Indeed, polygonal and polyhedral meshes offer a very flexible framework to handle, for instance, hanging nodes, different cell shapes within the same mesh, and non-matching interfaces, resulting thus in improved geometric flexibility to correctly represent complicated geometries, interfaces, and heterogeneous media. This workshop aims to bring together experts in this field to discuss the most recent developments and establish common grounds and shared goals. For more information, visit the webpage https://mox.polimi.it/POEMS2022/ The event will be held in person. Participation is very welcome and free of charge. However, for organizational reasons it is required to register before October 15th, 2022. ------------------------------------------------------- From: Robert Beinert [log in to unmask] Date: September 12, 2022 Subject: Mathematics and Image Analysis (MIA), Germany, Feb 2023 The next edition of the Mathematics and Image Analysis Conference will be held in Berlin, Germany, February 1-3, 2023. The conference follows a series of very successful, established MIA conferences and will address a wide range of topics like - mathematics of novel imaging methods, - inverse problems in imaging, - mathematics of visualization, - motion analysis, - video processing, - statistical and data science aspects in image processing, - PDEs and variational methods in image processing, and - deep and other machine learning methods in imaging. Important Date: December 16, 2022 - registration deadline and poster abstract submisstion deadline Further information are available at https://www.wias-berlin.de/workshops/MIA2023/ ------------------------------------------------------- From: Boris Kramer [log in to unmask] Date: September 16, 2022 Subject: Nonlinear Model Reduction for Control, USA, May 2023 We would like to invite you to participate in the "Conference and workshop: Nonlinear model reduction for control" in Blacksburg, VA, May 22-26, 2023. A tutorial-style workshop for junior researchers will be held on Monday and Tuesday (22-23) followed by a 3-day conference with state-of-the-art research talks. For more information, visit http://math.vt.edu/nlromc The objectives of the conference will be to bring together leading experts in nonlinear model reduction, control and tensor-based computations to learn and advance the state-of-the-art and identify challenges and opportunities in the field. The conference themes revolve around nonlinear balanced truncation, Hamilton-Jacobi-Bellman approaches to control and model reduction, interpolatory and data-driven methods for nonlinear systems, proper orthogonal decomposition for control, and tensor methods for scalable computation. The tutorial sessions for junior researchers will be delivered by leading experts, covering the following topics: Tobias Breiten (TU Berlin): nonlinear control and model reduction; Jeff Borggaard (Virginia Tech): nonlinear balancing and nonlinear feedback control software; Carmen Graessle (TU Braunschweig): nonlinear control-oriented model reduction based on proper orthogonal decomposition; Misha Kilmer (Tufts University): tensor computation; Boris Kramer (UC San Diego): computation for nonlinear balancing; Jacquelien Scherpen (University of Groningen): nonlinear balanced truncation During the conference portion, there will be three keynote presentations by Carmen Graessle (TU Braunschweig); Jan Heiland (Max Planck Institute for Dynamics of Complex Technical Systems and Otto-von-Guericke University); and John Singler (Missouri University of Science and Technology). The deadline to submit abstracts for posters and contributed talks is December 1, 2022. A limited number of travel awards will be offered to early career researchers through an NSF-CMMI grant. Please fill out the participation form at https://forms.gle/VMMDJKBdbh2qyN8N7 ------------------------------------------------------- From: Agnieszka Miedlar [log in to unmask] Date: September 12, 2022 Subject: Faculty Positions, Mathematics of Data/HPC, Virginia Tech The Virginia Tech Department of Mathematics anticipates two tenure- track openings in Mathematics of Data and High Performance Computational Mathematics with a start date of August 10, 2023, at our Blacksburg, VA, campus. The successful candidate will have a strong background in mathematics of data, high performance computing, or their intersection. Possible specialties include, but are not limited to, algorithms for large-scale data, reduced-order data-driven modeling, model order reduction, numerical linear algebra, randomized numerical linear algebra, tensor computations, inverse problems, numerical PDE modeling, PDE solvers, machine learning, optimization, or uncertainty quantification. Application areas of interest include, but are not limited to, geosciences, neuroscience, physics, biology, chemistry, or economics. Appointment as an Assistant Professor of Mathematics is anticipated, but exceptional senior candidates will be considered for positions of Associate Professor of Mathematics or Professor of Mathematics. Teaching and service duties will be split between the Mathematics Department and the Computational Modeling and Data Analytics (CMDA) program. The CMDA program is a collaborative effort involving faculty members from several departments, located in the College of Science's Academy of Data Science (https://data.science.vt.edu). The recently established Academy of Data Science embodies Virginia Tech's commitment to its land-grant mission of using leadership in teaching, research, and service to address society's pressing problems. An online application is required. To apply, please visit www.jobs.vt.edu, select "Apply Now," and search by posting number 521837. Please include a cover letter, a CV, a research statement, a teaching statement, and a diversity statement as part of the online application. Additionally, each applicant should follow the instructions in the online application system to request that four professional references submit letters of recommendation directly to the Department of Mathematics. Your references will receive a communication that requests the submittal of the reference letter directly to the department once your completed application has been received. Additional information about position requirements and responsibilities can be found at the following websites: http://www.hr.vt.edu and https://www.math.vt.edu. The faculty handbook (at https://faculty.vt.edu/faculty-handbook.html ) gives a complete description of faculty responsibilities. The successful candidate will be required to have a criminal conviction check. Questions about the search may be addressed to [log in to unmask] Applications received by November 1, 2022, will receive full consideration. ------------------------------------------------------- From: Julianne Chung [log in to unmask] Date: September 12, 2022 Subject: Faculty and Postdoc Positions, Mathematics, Emory Univ The Department of Mathematics at Emory University seeks to expand and diversify its faculty through an ambitious recruitment plan, which includes open rank Tenure Track Faculty positions (Assistant, Associate or Full Professor) in Computational Mathematics and Postdoc Fellowship positions for an NSF funded Research Training Group in Computational Mathematics for Data Science (http://www.math.emory.edu/site/codes/). For further details on these positions, including desired qualifications and required application materials, please see: http://www.math.emory.edu/about/faculty-hiring/. Applications can be submitted using one of the following links: TTF Position in Computational Math for AI: http://apply.interfolio.com/112401 RTG Postdoc Fellowship Position: http://apply.interfolio.com/111387 Screening of Applications will begin on November 1. Applications received by December 1 will be given full consideration. Faculty positions are expected to start on August 1, 2023. RTG Postdoc positions can have a starting date of either January 1, 2023 or August 1, 2023. Emory University is a top-ranked private institution recognized internationally for its outstanding colleges, graduate and professional schools, and one of the world's leading healthcare systems. Emory scholars and experts generate more than $894 million in research funding annually while also highly valuing excellence in teaching. Emory University is an equal employment opportunity and affirmative action employer. Women, minorities, people with disabilities, and veterans are strongly encouraged to apply. ------------------------------------------------------- From: E. Olusegun George [log in to unmask] Date: September 11, 2022 Subject: Assistant Professor Position, Data Science/Statistics, Univ of Memphis THE UNIVERSITY OF MEMPHIS, ASSISTANT PROFESSOR OF MATHEMATICAL SCIENCES AND DATA SCIENCE, Department of Mathematical Sciences The Department of Mathematical Sciences at the University of Memphis anticipates hiring a tenure-track Assistant Professor in Statistics and Data Science to begin in the January of 2023. Applications are invited from candidates with a PhD in Statistics and Data Science, or related areas in Mathematical Sciences with research interests in statistical analysis of complex, dependent high dimensional data and the use of graph theory and combinatorics for high dimensional statistical graphical networks. The successful candidate will typically teach two courses per semester in subjects related to data science, which include statistics, graph theory, or other related fields. The candidate will also be expected to conduct collaborative research especially in the context of projects related to data science and big data modeling and analysis. To apply, complete an application at https://workforum.memphis.edu/postings/ . Applicants will be required to upload a cover letter, research and teaching statements, curriculum vitae, and contact information for three letters of recommendation. The University of Memphis is an Equal Opportunity/Affirmative Action Employer. We urge all qualified applicants to apply for this position. Appointment will be based on qualifications as they relate to position requirements without regard to race, color, national origin, religion, age, sex, disability or veteran status. Successful candidates must meet guidelines of the Immigration Reform and Control Act of 1986. For any questions regarding this position, please contact the chair of the search committee: Dr. E. O. George, email: [log in to unmask] ------------------------------------------------------- From: Heike Sill [log in to unmask] Date: September 13, 2022 Subject: Research Assistant Position, Stats/ML/Image Processing, WIAS WIAS invites applications for a Research Assistant Position (m/f/d) (Ref. 22/31) in the Research Group "Stochastic Algorithms and Nonparametric Statistics" (Head: Prof. Dr. Vladimir Spokoiny) starting at earliest possible date. The preconditions are a completed scientific university education as well as a doctorate in the field of mathematics. Wanted: We are seeking outstanding scientists in a research field in the field of statistics or machine learning. The research area comprises the following topics among other: Image processing and Statistical inverse problems Very good English skills are still expected. International experience is also advantageous. Technical queries should be directed to Prof. Dr. V. Spokoiny ([log in to unmask]). The position is remunerated according to TVoD and is limited to three years. The work schedule is 39 hours per week, and the salary is according to the German TVoeD scale. The Institute aims to increase the proportion of women in this field, so applications from women are particularly welcome. Among equally qualified applicants, disabled candidates will be given preference. Please upload complete application documents curriculum vitae, photocopies of certificates including a cover letter as soon as possible via our online job-application facility using the button "Apply online". The advertisement is open with immediate effect and will remain open until the position will be filled. See here for more information: https://short.sg/j/22586589 ------------------------------------------------------- From: Eric Lawrence Miller [log in to unmask] Date: September 16, 2022 Subject: Postdoc Position, NLP/ML, Tufts Univ Tufts University has an opening for a post-doctoral researcher to engage in a cross-cutting project focusing on the development of and use of Natural Language Processing (NLP) for social sciences applications. Recent advances, starting with the now classical word2vec approach to models built using attention and transformer networks such as BERT and GTP3 have shown tremendous potential for natural language modeling and automated interpretation. While most applications currently focus on content generation, user interfaces (chatbots), and understanding news content, this project aims to use NLP as a major assistive technology to gain insights into student work and understanding in STEM education systems. This presents novel challenges, to interpret, for example, whether a student is arguing from intuition or from formal principles, whether they are excited or intimidated, whether they are uncertain or confident. The data may be written work or audio-video streams of conversations, and analysis of the latter may involve video processing of gestures and tone of voice. This multi-modal analysis is the next frontier in NLP and will require novel advances in both statistical machine learning and deep learning architectures. This position provides a unique opportunity to develop and collaborate with exclusive data sets, in research designed to influence classroom teaching and impact. Applicants must have a PhD in electrical engineering, computer science, applied mathematics, statistics, or a similar field; a background of research in the learning sciences would be helpful but is not required The ideal candidates will have experience with and a publication record in one or more of the following areas: modern methods of statistical signal processing, machine learning, optimization, or data science with applications to NLP. Programming experience in Matlab or python is highly desired and preferred. The post-doc will be jointly supervised by a team of faculty in machine learning (Prof. Eric Miller, Prof. Shuchin Aeron) and by a team of faculty in the learning sciences (Prof. Julia Gouvea, Prof. David Hammer). For more information about this position, please email Prof. Shuchin Aeron ([log in to unmask]) Prof. Eric Miller ([log in to unmask]) and Prof. Bree Aldridge ([log in to unmask]). Interested candidates should provide Prof. Miller with a copy of their CV, list of references, cover letter, and copies of relevant articles, theses, technical reports etc. ------------------------------------------------------- From: Daniele Di Pietro [log in to unmask] Date: September 13, 2022 Subject: Postdoc Position, Numerical Analysis, IMAG Institut Montpellierain Alexander Grothendieck is accepting applications for a postdoctoral position in Numerical Analysis funded by the I-Site MUSE project RHAMNUS. The postdoc is expected to work on the application of Discrete de Rham methods to the incompressible Navier-Stokes equations. Successful applicants for this position should hold a PhD in Applied Mathematics (or equivalent), and have extensive experience in the analysis and implementation of Finite Element Methods for Partial Differential equations. For further information, contact Daniele Di Pietro ([log in to unmask]). ------------------------------------------------------- From: Christian Clason [log in to unmask] Date: September 16, 2022 Subject: Postdoc Positions, Optimization, Univ of Graz, Austria The Institute of Mathematics and Scientific Computing of the University of Graz, Austria, is currently offering two positions as non-tenure track Assistant Professor (fixed term 6 years) in the group of Prof. Christian Clason and is looking for motivated researchers working in the fields of continuous, infinite-dimensional, mathematical optimization, in particular nonsmooth, PDE-constrained, and/or stochastic optimization. The position comes with a moderate teaching load (4h/week). Further details can be found in the official job postings: https://jobs.uni-graz.at/ausschreibung/en/?jh=4xaw1ax1ta1v2bzgtapewkn5zz9yilg https://jobs.uni-graz.at/ausschreibung/en/?jh=gxv0yw01nqn53ss9ms3agqznmurr6zw As the university is committed to increasing diversity, suitable applications from members of underrepresented groups are particularly encouraged. In case of any questions, please contact . ------------------------------------------------------- From: Chris Toomer [log in to unmask] Date: September 13, 2022 Subject: PhD Position, CFD/Algorithm Dev, Aerodynamic Digital Twins An opportunity has arisen to apply for a funded full-time PhD at UWE Bristol funded by the Empire Test Pilot School, QinetiQ: The design and certification of new aircraft currently relies on a significant period of flight testing. There is a need to reduce the risks, flight time and costs of flight testing whilst using the advances in simulation to substitute in part for flight testing. The focus of the PhD is to reduce the reliance on flight data through increased reliability of simulation data by developing new approaches for data fusion and modelling, e.g. using state of the art CFD software; combining multi-fidelity data; and applying semi-empirical approaches, statistical algorithms and artificial intelligence. The student would be involved in all aspects of the project. For an informal discussion about the studentship, please email Dr. Chris Toomer at [log in to unmask] The expected start date of this studentship is 1 January 2023 The closing date for applications is 9 October 2022 Ref 2223-JAN-FET18 The studentship is available from 1 January 2023 for a period of three years, subject to satisfactory progress and includes a tax exempt stipend, which is currently 16,062 GBP per annum. In addition, full-time tuition fees will be covered for up to three years. The studentship is eligible only for applicants from the UK and European students. More details at: https://www.uwe.ac.uk/research/postgraduate-research-study/how-to-apply/studentship-opportunities/aerodynamic-digital-twin-development-for-aircraft-validation-and-certification ------------------------------------------------------- From: Carsten Burstedde [log in to unmask] Date: September 16, 2022 Subject: PhD Position, Scalable Algorithms for AMR, Germany A PhD position is available immediately at the Institute for Numerical Simulation (INS) at the University of Bonn, Germany. The envisioned research aims at developing new, scalable parallel algorithms for adaptive mesh refinement using various shape primitives, such as cubes, tetrahedra, prisms, and pyramids. These algorithms shall be prototyped, demonstrated, and released as part of the p4est and t8code software libraries. This particular project is collaborative with the German Aerospace Center (DLR) with applications to atmosphere simulations and numerical weather studies. A successful candidate would present a Master's degree in Mathematics, Computer Science, or a closely related field. They should be familiar with the basic theories on the numerical solution of partial differential equations, skilled in the collaborative development of open source scientific software, and ideally experienced in parallel programming and computing. The INS is part of Bonn Mathematics and covers research and teaching of scientific computing, numerical simulation, and numerical analysis. The PhD position will be embedded in the graduate school of the Hausdorff Center for Mathematics (HCM), a stimulating research environment and support structure. If interested, please email Carsten Burstedde ------------------------------------------------------- From: Jose E Castillo [log in to unmask] Date: September 13, 2022 Subject: Prospective PhD Students Fair, UC Irvine/SDSU, Oct 2022 UC Irvine - San Diego State University Joint Doctoral Program in Computational Sciences Seeks Doctoral Students for Fall 2023 The Interdisciplinary Ph.D. Program in Computational Science is aimed at training scientists and engineers who will create advanced computational methods and tools to model and solve challenging problems at the intersections of scientific disciplines. The doctoral program offers coursework and research in a broad range of subjects that develop expertise in Mathematical Modeling and Scientific Computing with applications to Biological Science, Earth Science, Engineering Science, Health, Physical and/or Chemical Science. UCI and SDSU campuses are recognized as Hispanic Serving Institutions offering a welcoming and supportive environment for diverse students. Admitted graduate students are offered a range of financial assistance options while they are pursuing advanced degrees, including Teaching, Graduate, and Research Assistantships and Fellowships. Applicants with strong backgrounds in mathematics, physical, biological and geological sciences, computer science, and engineering are invited to apply. Please check our website for details regarding the doctoral program and the application process. We have 20 positions available. A virtual information session for the program will be held on October 13th, 2022 from 2:00 - 3:30 pm on Gather (https://gather.town/). To attend, please register using the link below. Link to the virtual space will be sent only to registered participants 2 days before the event. This will be a great opportunity to meet and interact with current students in the program, potential faculty advisors and program coordinators. ------------------------------------------------------- From: Communications on Applied Mathematics and Computation [log in to unmask] Date: September 18, 2022 Subject: Contents, Comm on Applied Mathematics and Computation, 4 (4) Communications on Applied Mathematics and Computation, Volume 4, Number 4, December 2022 https://www.springer.com/journal/42967 Parametric Regression Approach for Gompertz Survival Times with Competing Risks, H. Rehman, N. Chandra Optimized Runge-Kutta Methods with Automatic Step Size Control for Compressible Computational Fluid Dynamics, Hendrik Ranocha, Lisandro Dalcin, Matteo Parsani, David I. Ketcheson An Alternative to the Marshall-Olkin Family of Distributions: Bootstrap, Regression and Applications, Christophe Chesneau, Kadir Karakaya, Hassan S. Bakouch, Co_kun Ku_ T_M-Eigenvalues of Odd-Order Tensors, M. Pakmanesh, Hamidreza Afshin Reconstruction of a Heat Equation from One Point Observations, H. Al Attas, A. Boumenir P-Bifurcation of Stochastic van der Pol Model as a Dynamical System in Neuroscience, F. S. Mousavinejad, M. FatehiNia, A. Ebrahimi Some Numerical Extrapolation Methods for the Fractional Sub-diffusion Equation and Fractional Wave Equation Based on the L1 Formula, Ren-jun Qi, Zhi-zhong Sun A Stable Numerical Scheme Based on the Hybridized Discontinuous Galerkin Method for the Ito-Type Coupled KdV System, Shima Baharlouei, Reza Mokhtari, Nabi Chegini A Mixed Finite-Element Method on Polytopal Mesh, Yanping Lin, Xiu Ye, Shangyou Zhang Linear-Quadratic Optimal Control Problems for Mean-Field Stochastic Differential Equation with Levy Process, Hong Xiong, Maoning Tang, Qingxin Meng Space-Fractional Diffusion with Variable Order and Diffusivity: Discretization and Direct Solution Strategies, Hasnaa Alzahrani, George Turkiyyah, Omar Knio, David Keyes Perturbation Analysis for t-Product-Based Tensor Inverse, Moore-Penrose Inverse and Tensor System, Zhengbang Cao, Pengpeng Xie Modeling Fast Diffusion Processes in Time Integration of Stiff Stochastic Differential Equations, Xiaoying Han, Habib N. Najm Dual Quaternions and Dual Quaternion Vectors, Liqun Qi, Chen Ling, Hong Yan Two Energy-Preserving Compact Finite Difference Schemes for the Nonlinear Fourth-Order Wave Equation, Xiaoyi Liu, Tingchun Wang, Shilong Jin, Qiaoqiao Xu Dynamical Soliton Wave Structures of One-Dimensional Lie Subalgebras via Group-Invariant Solutions of a Higher-Dimensional Soliton Equation with Various Applications in Ocean Physics and Mechatronics Engineering, Oke Davies Adeyemo, Chaudry Masood Khalique ------------------------------------------------------- From: JNAAT [log in to unmask] Date: September 17, 2022 Subject: Contents, J. Numer. Anal. Approx. Theory 51 (1) Journal of Numerical Analysis and Approximation Theory, included in the Scopus database, celebrates its 50th anniversary http://ictp.acad.ro/jnaat On the rate of convergence of modified alpha-Bernstein operators based on q-integers, P. Agrawal, D. Kumar, B. Baxhaku General multivariate arctangent function activated neural network approximations, G.A. Anastassiou A Baskakov-Kantorovich operators reproducing affine functions: inverse results, J. Bustamante A note on the unique solvability condition for generalized absolute value matrix equation, S. Kumar, Deepmala Basins of attraction for family of Popovski's methods and their extension to multiple roots, B. Neta Book reviews ------------------------------------------------------- End of Digest **************************