Subject: NA Digest, V. 21, # 44 NA Digest Wednesday, December 01, 2021 Volume 21 : Issue 44 Today's Editor: Daniel M. Dunlavy Sandia National Labs [log in to unmask] Today's Topics: Bob Skeel, 1947-2021 Call for Nominations, ICIAM Olga-Taussky-Todd Lecture Inverse Problems from Theory to Application, UK, May 2022 Research Associate Position, ML for Brain and Mental Health, UK Postdoc Position, Computational Biology, Ryerson Univ, Canada Postdoc Position, Inverse Methods, BCAM Postdoc Position, Machine Learning for Energy Forecasting, BCAM Postdoc Position, Numerical Analysis, Louisiana State Univ Postdoc Position, Randomized Numerical LA, UT-Austin Postdoc Position, Special Functions and Random Walks, BCAM Postdoc Positions, Mathematical Foundations of Data, Oxford Postdoc Positions, NIST Postdoc/PhD Positions, Formal Methods, Germany Research Technician Position, Computational Methods, BCAM Research Technician Position, Numerical Techniques/CFD, BCAM Contents, Computational Mathematics, 39 (6) Contents, Mathematical Modelling and Analysis, 26 (4) 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: Alex Pothen [log in to unmask] Date: November 27, 2021 Subject: Bob Skeel, 1947-2021 We are saddened to announce that our colleague and friend Robert D. Skeel, Professor of Computer Science (retired) at Purdue University, passed away on November 1 in Phoenix AZ, after a battle with cancer. Bob was born in Calgary, Alberta in 1947, and grew up in Edmonton. He received his PhD in Computing Science from the University of Alberta in 1974, and then joined the University of Illinois at Urbana Champaign as a faculty member. He rose through the ranks at Illinois, becoming full Professor in 1986. After Bob retired from Illinois in 2004, he joined Purdue's Computer Science department, where he served until retirement in 2017. Bob then moved to Phoenix AZ, continuing to be active in research at Arizona State University. Bob's research interests included computational molecular biophysics, numerical ordinary differential equations, and linear algebra. In 2011, Bob was elected SIAM Fellow for his fundamental contributions to these three areas. His most recent work was focused on computational methods for biomolecular simulation. He was a major contributor to the development of NAMD (a parallel molecular dynamics code designed for high-performance simulation of large biomolecular systems) with the principal investigator of an NIH project---the late Klaus Schulten, a UIUC colleague of Bob. The developers of the NAMD software received the 2002 Gordon Bell Award, the 2012 Sidney Fernbach Award, and the 2020 Gordon Bell Prize. With Jerry Keiper, Bob co-authored a textbook: Elementary Numerical Computing with Mathematica. Bob is survived by his wife Marjorie, two daughters, their spouses, and four grandchildren. A private family memorial service was held on November 5 at Christ Church Anglican in Phoenix AZ. Bob will be greatly missed by his family, friends and colleagues. Bob's family have provided an obituary available at https://www.cs.purdue.edu/homes/apothen/BobSkeel-Obit.pdf. Friends and colleagues could express their condolences to Bob's family through messages sent to one of us at our email addresses. Ahmed Sameh ([log in to unmask]) and Alex Pothen ([log in to unmask]) Department of Computer Science, Purdue University ------------------------------------------------------- From: Sven Leyffer [log in to unmask] Date: November 25, 2021 Subject: Call for Nominations, ICIAM Olga-Taussky-Todd Lecture The International Council for Industrial and Applied Mathematics (ICIAM) is inviting nominations for the 2023 Olga Taussky-Todd Lecture, to be given at the ICIAM 2023 Congress. A nomination consists of (1) the full name and address of the nominee, (2) the web-page of the nominee, (3) a two-page justification for the nomination, (4) 2-3 two-page letters of support, (5) the CV of the nominee, and (6) the name and contact details of the nominator. Nominations should be submitted at https://iciamprizes.org/ (the deadline is December 30th, 2021). Please contact [log in to unmask] if you have any question regarding the nomination procedure. More details of the award and the call for nominations can be found here: https://iciam.org/iciam-olga-taussky-todd-lectures Sven Leyffer ICIAM Secretary [log in to unmask] [log in to unmask] ------------------------------------------------------- From: Pamela Bye [log in to unmask] Date: November 26, 2021 Subject: Inverse Problems from Theory to Application, UK, May 2022 3- 5 May 2022 International Centre for Mathematical Sciences, Edinburgh https://ima.org.uk/18111/3rd-ima-conference-on-inverse-problems-from-theory-to-application/ The aim of this conference is to bring together the applied mathematics, statistics, machine learning, engineering, physics and industrial communities around the topic of inverse problems to discuss recent developments and open challenges in theory, methodology, computational algorithms, and applications. We welcome industrial representatives, doctoral students, early career and established academics working in this field to attend. Topics of interest include, for example, Inverse problems in mathematical and computational imaging; Inverse problems in science, medicine, engineering, and other fields; Model-based and data-driven methods for solving inverse; Optimisation, statistical, and machine learning methods for solving inverse problems; Mathematical theory for inverse problems; Deterministic and stochastic computational methods and algorithms. Papers will be accepted for the conference based on a 100 word abstract for oral or poster presentation. We welcome abstracts to be submitted by 7th January 2022 via https://my.ima.org.uk./. Please indicate whether your title is intended for oral "presentation" or "poster" presentation. Please send your abstracts in plain text format (no equations). Registration: Registration is now open via: https://my.ima.org.uk./ Confirmed Invited Speakers: Thomas Pock (Graz University of Technology, Austria), Gabriele Steidl (Berlin Institute of Technology, Germany), Jason McEwen (University College London & Kagenova), Yi Yu (University of Warwick, UK), Andrew Duncan (Imperial College London, UK), Luca Calatroni (CNRS & Nice University, France). For further information on this conference, please visit the conference webpage: https://ima.org.uk/18111/3rd-ima-conference-on-inverse-problems-from-theory-to-application/ ------------------------------------------------------- From: Carola Schonlieb [log in to unmask] Date: November 30, 2021 Subject: Research Associate Position, ML for Brain and Mental Health, UK Applications are invited for a Research Associate position in Machine Learning for Brain and Mental Health to work with Prof Carola-Bibiane Schonlieb in the Cambridge Image Analysis Group (http://www.damtp.cam.ac.uk/research/cia/), Department of Applied Mathematics and Theoretical Physics, and Prof Zoe Kourtzi at the Adaptive Brain Lab (http://www.abg.psychol.cam.ac.uk) University of Cambridge. The position will focus on the development and implementation of state-of- the-art machine learning and image analysis techniques for the early diagnosis of mental health disorders (e.g. dementia, mood-related disorders). The research aims to develop biologically-inspired artificial systems for precision brain and mental health by bringing together expertise in machine learning, data science, neuroscience, and clinical practice. The successful candidate will have or about to be awarded a PhD in a relevant area (e.g. Mathematics, Computer Science, Engineering, Biostatistics, Neuroscience, Medicine), together with a strong academic track record. Programming skills are highly desirable and experience with machine learning, data science, medical image analysis, biostatistics, or clinical neuroscience/neurology are highly beneficial. Above all, they will demonstrate enthusiasm to contribute new knowledge, openness to learn new approaches and willingness to contribute to a multidisciplinary team across academia and industry. Application deadline: 3 January 2022. For more details on the position and on how to apply see https://www.jobs.cam.ac.uk/job/32357/ For informal enquiries please just email me [log in to unmask] ------------------------------------------------------- From: Silvana ILIE [log in to unmask] Date: November 30, 2021 Subject: Postdoc Position, Computational Biology, Ryerson Univ, Canada A postdoctoral position is available in Computational Biology in the Department of Mathematics, Ryerson University (http://www.math.ryerson.ca). The research will be led jointly by Dr. Silvana Ilie and Dr. Katrin Rohlf. This position provides an opportunity to engage in research in Applied Mathematics, with a limited amount of teaching. The salary is competitive, with funding provided for one year. We are seeking qualified and motivated applicants in Applied Mathematics, to work on interdisciplinary projects aimed at developing stochastic modelling and simulation tools for studying biological systems. The ideal candidate would have a strong background in Applied Mathematics (Numerical Analysis and Probability) and/or Computer Science. Strong programming skills in Matlab are mandatory. In addition, experience with dynamical systems (ODEs and PDEs) is expected. Knowledge of biological/chemical reaction modelling, stochastic simulation (temporal and spatio-temporal) and machine learning would be considered an asset. The starting date of the position is flexible, but no later than April 1, 2022. The review of applications will begin immediately, and will continue until the position is filled. Applicants should submit a curriculum vitae, a one page summary of research experience, and a minimum of two letters of recommendation. At least one of these letters should report on the candidate's teaching abilities. Application material and reference letters should be sent directly by e-mail to [log in to unmask] ------------------------------------------------------- From: Idoia Hernandez [log in to unmask] Date: November 26, 2021 Subject: Postdoc Position, Inverse Methods, BCAM Topisc: Deep Learning, Data-Driven Computing, Partial Differential Equations, Inverse Problems, Offshore Wind Energy Deadline: December 10, 2021 Applications must be submitted on-line at: http://www.bcamath.org/en/research/job/ic2021-11-postdoctoral-fellow-on-inverse-methods-for-structural-health-monitoring-of-offshore-wind-energy-technologies Applicants must have their PhD completed before the contract starts. PhD in Mathematics and/or Civil, Mechanical, Industrial, Offshore Engineering or similar areas Skills: Good interpersonal skills. A proven track record in quality research, as evidenced by research publications in top scientific journals and conferences. 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. Fluency in spoken and written English. The preferred candidate will have: Strong background in the numerical solution of Partial Differential Equations and/or Deep Learning techniques. Background in Inverse Problems. Experience in treatment of long time series. Experience in simulation of long time series. Experience in modelling Failure Modes and Effects Analysis (FMEA) for components / subsystems / systems. Good programming skills in Python and preferably, also Tensorflow. Interest and disposition to work in interdisciplinary groups. The candidate would preferably be in possess of: Experience in the sector of offshore wind energy, or offshore oil and gas, or structures in offshore environment. ------------------------------------------------------- From: Idoia Hernandez [log in to unmask] Date: November 26, 2021 Subject: Postdoc Position, Machine Learning for Energy Forecasting, BCAM Topic: Machine Learning for energy forecasting Deadline for application: December 10, 2021 Applications must be submitted on-line at: http://www.bcamath.org/en/research/job/ic2021-11-postdoctoral-fellow-on-machine-learning-for-energy-forecasting Requitements: Applicants must have their PhD completed before the contract starts. Skills: Good interpersonal skills. A proven track record in quality research, as evidenced by research publications in top scientific journals and conferences. 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. Fluency in spoken and written Spanish and English. The preferred candidate will have: Strong background in mathematics/statistics. Strong background in data science/machine learning. Background in time series prediction. Background in energy-related applications such as load forecasting. Good programming skills in Python and/or Matlab. Interest and disposition to work in interdisciplinary groups and collaborate with multiple companies/institutions. ------------------------------------------------------- From: Susanne Brenner [log in to unmask] Date: November 30, 2021 Subject: Postdoc Position, Numerical Analysis, Louisiana State Univ The Center for Computation & Technology (CCT) at Louisiana State University (LSU) is seeking applications to fill a postdoctoral researcher position starting August 2022. The postdoctoral researcher will work under the supervision of Professor Susanne C. Brenner. Preferred Qualifications: Research excellence. Ideal candidates will be published research in at least one of the following areas: adaptive finite element methods, discontinuous Galerkin methods, multigrid methods, domain decomposition methods, elliptic optimal control problems, computational electromagnetics or computational mechanics. Quick link to ad URL: https://lsu.wd1.myworkdayjobs.com/LSU/job/1079-Digital-Media-Center/Postdoctoral-Researcher_R00062258 Please arrange for at least three reference letters to be sent directly to [log in to unmask] Deadline to apply: January 15, 2022. ------------------------------------------------------- From: Per-Gunnar Martinsson [log in to unmask] Date: November 29, 2021 Subject: Postdoc Position, Randomized Numerical LA, UT-Austin Applications are invited for a postdoctoral research position in the Oden Institute for Computational Engineering and Sciences at The University of Texas at Austin, in the research group of Gunnar Martinsson. The targeted research area is randomized algorithms for solving linear systems, for low rank approximation, and for related problems in linear algebra, optimization, and scientific computing. Review of applications will start December 15, but the position will remain open until filled. The starting date is flexible, but no later than September 2022 would be preferred. The initial appointment is for one year, with the possibility of renewal based upon availability of funding and performance. The appointment can be renewed up to 4 times, but an overall duration of 2 or 3 years would normally be expected. For additional details on required qualifications, and how to apply, see: https://utaustin.wd1.myworkdayjobs.com/en-US/UTstaff/details/Postdoctoral-Fellow_R_00016355 https://users.oden.utexas.edu/~pgm/main_positions.html ------------------------------------------------------- From: Idoia Hernandez [log in to unmask] Date: November 26, 2021 Subject: Postdoc Position, Special Functions and Random Walks, BCAM Inside the Generalized Master Equation for the Continuous-Time Random Walk. The proposed research project is focused on the derivation of the Generalized Master Equation (GME) for the Continuous-Time Random Walk (CTRW) as published in literature, e.g., [1,2], and on its specific determination for fractional diffusion [3]. Actually, the GME depends on a kernel function that is explicitly given in terms of the jumps and waiting-times distributions of the CTRW. Surprisingly, a systematic study concerning the features of the CTRW, the kernel of the GME and the resulting walker's distribution is not provided, yet. The aim of the research is to fill this literature gap in the view of the many applications of the CTRW and in particular because of the recent regime-transitions (exponential-to-fractional-to-Gaussian) observed in anomalous diffusion processes. [1] Klafter J and Silbey R 1980 Phys. Rev. Lett. 44 55-58 [2] Klafter J, Blumen A and Shlesinger M F 1987 Phys. Rev. A 35 3081-3085 [3] Hilfer R and Anton L 1995 Phys. Rev. E 51 R848-R851 Deadline: January 17, 2022 Applications must be submitted on-line at: http://www.bcamath.org/en/research/job/ic2021-11-postdoctoral-fellowship-in-special-functions-and-random-walks Requirements: Applicants must have their PhD completed before the contract starts Skills: Good interpersonal skills. A proven track record in quality research, as evidenced by research publications in top scientific journals and conferences. 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. Fluency in spoken and written English. The preferred candidate will have: Strong background in special functions and integral transforms. Background in fractional calculus and fractional modelling. Knowledge in statistics and probability. Good programming skills in Mathematica and/or Maple and/or MathLab. Interest and disposition to work in interdisciplinary groups. ------------------------------------------------------- From: Coralia Cartis [log in to unmask] Date: November 30, 2021 Subject: Postdoc Positions, Mathematical Foundations of Data, Oxford Postdoctoral Research Associate in the Mathematical Foundations of Data Science (3 posts), Mathematical Institute, University of Oxford We invite applications for up to three Postdoctoral Research Associates to work on an exciting new project to address significant mathematical and engineering challenges arising from multidimensional big data. The positions are based at the Mathematical Institute, and form a key part of a substantial new Centre for Intelligent Multidimensional Data Analysis (CIMDA) funded by the Hong Kong Innovation and Technology Commission. Each position is available full time for 12 months in the first instance, though funding for the project is expected to be renewed and if so, it may be possible to extend the length of this appointment by another year. They are available for an immediate start. The prospective researchers will work on projects potentially related to scalable optimization algorithm development and analysis, stochastic processes and rough paths, reduced precision and parallel-in-time computations, high-dimensional matrices and tensors and their decompositions, hypergraphs models, learning of non-Euclidean data, sparse deep neural networks, and more; under the supervision of a subteam selected from Profs Terry Lyons, Coralia Cartis, Mike Giles, Raphael Hauser, Harald Oberhauser, Endre Suli, Jared Tanner and Andrew Wathen. We welcome applications from candidates from all nationalities and backgrounds. Please follow this link for more information and to apply: https://my.corehr.com/pls/uoxrecruit/erq_jobspec_details_form.jobspec?p_id=154459 CLOSING DATE: December 8th, 2021. ------------------------------------------------------- From: Ron Boisvert [log in to unmask] Date: November 30, 2021 Subject: Postdoc Positions, NIST The Applied and Computational Mathematics Division (ACMD) of the National Institute of Standards and Technology (NIST) invites applications for two-year NRC postdoctoral research positions at NIST Laboratories in Gaithersburg, Maryland, and Boulder, Colorado. NIST is a Federal government research laboratory specializing in measurement science. ACMD consists of some 50 full-time professional staff, along with part-time faculty appointees and guest researchers. Staff members engage in collaborative research with scientists throughout NIST, providing expertise in applied mathematics and computational science and engineering. Research areas of interest include computational materials science, computational electromagnetics, computational biology, computational chemistry, orthogonal polynomials and special functions, applied optimization and simulation, complex systems and networks, data mining, scientific visualization, parallel and distributed algorithms, and quantum information science. Candidates and their research proposals are evaluated in a competitive process managed by the National Research Council (NRC) Associateship Programs. The current stipend is $72,750 per year. For further details, see http://www.nist.gov/itl/math/mcsd-postdoctoral- opportunities.cfm. Application deadlines are February 1 and August 1. Appointments commence within one year of selection. For questions, contact Ron Boisvert, [log in to unmask] NIST is an equal opportunity/affirmative action employer. The NRC Associateship Program at NIST is restricted to US citizens. ------------------------------------------------------- From: Gunther Reissig [log in to unmask] Date: November 30, 2021 Subject: Postdoc/PhD Positions, Formal Methods, Germany We invite applications for two post-doctoral researcher positions in the field of formal methods, in Munich, Germany, the city of the Oktoberfest. The successful candidates are expected to advance the state of the art of abstraction-based synthesis and verification, to facilitate routine and efficient application of the approach. Depending on background and interests of each candidate, the research focus will be either on theoretical foundations, or on algorithms and software development. Required qualifications: PhD degree in Mathematics, Systems and Control, Computer Science, or a related field. Exceptionally qualified and experienced candidates with an MSc degree will also be considered. Strong theoretical or mathematical background, and a strong interest in dynamical or control systems. In addition, experience in one of the following fields is required: Optimal control; semi-definite programming; quadrature theory; set-valued numerics; reachability analysis; validated floating-point arithmetic; compiler design; software development. Programming proficiency (C or Ada or Mathematica). Efficient communication skills in English. The position is full-time and paid according to pay scale ``TVOeD Bund, E 14''. Actual income depends on marital status and professional experience, and starts from EUR 35000 net p.a. (E-13/EUR 32700 for applicants with an MSc degree). Reimbursement for travel expenses to conferences. No teaching load. The positions are available immediately and for a duration until December 2023, with possible extension contingent on research performance. They are open to applicants worldwide; no special security clearance necessary. Your complete application consists of the following documents, which should be sent as a single PDF file to the email address given below (deadline: December 22, 2021): CV; One-page cover letter (clearly indicating available start date as well as relevant qualifications, experience and motivation); University certificates and transcripts (BSc, MSc and PhD degrees); Up to three letters of recommendation; List of publications; Possibly an English language certificate. All documents should be in English or German. ------------------------------------------------------- From: Idoia Hernandez [log in to unmask] Date: November 26, 2021 Subject: Research Technician Position, Computational Methods, BCAM Topic: Machine Learning, Data-Driven Computing, Numerical Simulation, Degradation Models, Transfer Learning, Deep Learning, Partial Differential Equations, Inverse Problems Deadline: December 10, 2021 Applications must be submitted on-line at: http://www.bcamath.org/en/research/job/ic2021-11-research-technician-on-computational-methods-for-reliability-and-structural-health-monitoring Requirements: Applicants must have their Bachelor's or Master degree preferable in Physics, Mathematics, Civil/Mechanical/industrial Engineering, or related fields Possess of PhD in the fields will be positively considered in the evaluation Skills: Good interpersonal skills. A proven track record in quality research, as evidenced by research publications in top scientific journals and conferences. 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. Fluency in spoken and written English. The preferred candidate will have: Background in inverse problems. Background in reliability modelling applied to structural mechanics. Experience in treatment and simulation of time series. Good programming skills in Python and R. Interest and disposition to work in interdisciplinary groups. ------------------------------------------------------- From: Idoia Hernandez [log in to unmask] Date: November 26, 2021 Subject: Research Technician Position, Numerical Techniques/CFD, BCAM Topics: Computational Fluid Dynamics, Reduced Order Methods, Surrogated Models, Finite Elements, Finite Volumes Deadline: December 10, 2021 Applications must be submitted on-line at: http://www.bcamath.org/en/research/job/ic2021-11-research-technician-on-alternative-numerical-techniques-for-computational-fluid-dynamics Requirements: Applicants must have their Bachelor's or Master degree preferable in Physics, Mathematics, Civil/Mechanical/industrial Engineering, or related fields Possess of PhD in the fields will be positively considered in the evaluation Skills: Good interpersonal skills. A proven track record in quality research, as evidenced by research publications in top scientific journals and conferences. 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. Fluency in spoken and written English. The preferred candidate will have: Background in Computational Fluid Dynamics. Background in Finite Element and Finite Volume methods. Background in Reduced Order Models (ROMs) and surrogated models. Good programming skills (bash, C++, Python &) Knowledge of Linux OS. Interest and disposition to work in interdisciplinary groups. The candidate would preferably be in possess of: Experience of using OpenFOAM. ------------------------------------------------------- From: Yonghui Yu [log in to unmask] Date: November 29, 2021 Subject: Contents, Computational Mathematics, 39 (6) Journal of Computational Mathematics, Volume 39 (2021), issue 6 CONTENTS Deep ReLU Networks Overcome the Curse of Dimensionality for Generalized Bandlimited Functions, Hadrien Montanelli, Haizhao Yang and Qiang Du Physics Informed Neural Networks (PINNs) for Approximating Nonlinear Dispersive PDEs, Genming Bai, Ujjwal Koley, Siddhartha Mishra and Roberto Molinaro An Acceleration Strategy for Randomize-then-optimize Sampling via Deep Neural Networks, Liang Yan and Tao Zhou Convergence of the Weighted Nonlocal Laplacian on Random Point Cloud, Zuoqiang Shi and Bao Wang Achieving Adversarial Robustness Requires an Active Teacher, Chao Ma and Lexing Ying The Random Batch Method for N-Body Quantum Dynamics, Francois Golse, Shi Jin and Thierry Paul ------------------------------------------------------- From: Raiondas Ciegis [log in to unmask] Date: November 29, 2021 Subject: Contents, Mathematical Modelling and Analysis, 26 (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 26, Issue 4, 2021 CONTENTS Jishan Fan, Peng Wang and Yong Zhou, Uniform Regularity for the Isentropic Compressible Magneto-Micropolar System Xiaoxia Dai and Chengwei Zhang, A Subgrid Stabilized Method for Navier-Stokes Equations with Nonlinear Slip Boundary Conditions Feliz Minhs and Rui Carapinha, Third-Order Generalized Discontinuous Impulsive Problems on the Half-Line Kassimu Mpungu and Tijani A. Apalara, Exponential Stability of Laminated Beam with Constant Delay Feedback Imre Ferenc Barna and Laszlo Matyas, Analytic Solutions of a Two-Fluid Hydrodynamic Model Emile Franc Doungmo Goufo, Chokkalingam Ravichandran and Gunvant A. Birajdar, Self-Similarity Techniques for Chaotic Attractors with Many Scrolls Using Step Series Switching Armands Gritsans and Inara Yermachenko, On the Maximum Number of Period Annuli for Second Order Conservative Equations Milan Medved and Eva Brestovanska, Differential Equations with Tempered $\mathbf{\Psi-}$Caputo Fractional Derivative Konstantinas Pileckas and Alicija Raciene, On Singular Solutions of the Stationary Navier-Stokes System in Power Cusp Domains Farah Balaadich and Elhoussine Azroul, An Existence Result for Quasilinear Parabolic Systems with Lower Order Terms Joel Chaskalovic and Franck Assous, Numerical Validation of Probabilistic Laws to Evaluate Finite Element Error Estimates ------------------------------------------------------- End of Digest **************************