[External Email] Subject: NA Digest, V. 20, # 40 NA Digest Tuesday, October 20, 2020 Volume 20 : Issue 40 Today's Editor: Daniel M. Dunlavy Sandia National Labs [log in to unmask] Today's Topics: Greg Astfalk IMA 16plus Careers Lecture, ONLINE, Nov 2020 Maths for Industry 4.0, ONLINE, Dec 2020 Deadline Extensions, SIAM Applied Linear Algebra, USA, May 2021 Senior R&D Engineer Position, Synopsys Research Assistant Position, Germany Research Assistant Position, WIAS, Germany Research Scientist/Postdoc Positions, Friedrich Schiller Univ, Germany Postdoc Position, Data Assimilation and ML, CIRA, USA Postdoc Position, HPC Numerical Algorithms, LBNL Postdoc Position, Multi-physics Methods and Simulation, LANL PhD & Postdoc Position, Computational UQ, Technical Univ of Denmark PhD Position, Numerical Analysis, RWTH Aachen Univ PhD Position, Numerical Simulation of Cell Biology, Germany PhD Position, Old Dominion Univ Contents, Acta Cybernetica, 24 (3) Contents, Computational Methods in Applied Mathematics, 2020 (4) Contents, Constructive Approximation, 52 (2) Contents, ETNA, 51 Contents, MMA Journal, 25 (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: Craig C. Douglas [log in to unmask] Date: October 11, 2020 Subject: Greg Astfalk Greg was was a major contributor to scientific computing and SIAM for a number of years. He was a chief scientist of Hewlett-Packard and a significant member of Convex Computers before HP bought Convex. I am trying to track him down for a historical question that he is unique in possibly answering. If he is reading this message or someone else knows how to contact him, please send me a private message to my email address. Thanks, Craig Doiuglas ------------------------------------------------------- From: Pamela Bye [log in to unmask] Date: October 16, 2020 Subject: IMA 16plus Careers Lecture, ONLINE, Nov 2020 Virtual Event: IMA 16plus Careers Lecture Tuesday 10th November, 2020 , 17.30-19.00pm https://ima.org.uk/15305/ima-16plus-careers-lecture/ In this 16+ lecture, we'll discover how the mathematical sciences can play a key role in many different careers, including some you might not expect. We will discuss who employs mathematicians, what mathematicians do, and what skills are most valuable to mathematicians (including tips to make your CV stand out). We'll hear from a professional using mathematics to model the impact on the economy from events such as the Coronavirus pandemic, a mathematician using their skills to delve into the realm of biology, and mathematicians solving real world physics and engineering challenges. Speaker profiles include: Zahraa Kadri is a senior data analyst in transportation and engineering mathematics. Ben Calverley is a PhD student at the University of Manchester, working in maths and biology. Professor Marina Logares is a lecturer who has worked in the UK and Spain - teaching and researching algebraic geometry and how it relates to physics. Dr Ken O'Neill. Since February 2019, Ken is the Lead Official for Statistics at Accountant in Bankruptcy (AiB), an executive agency of Scottish Government, where he is responsible for the production of statistical outputs within AiB. ------------------------------------------------------- From: Dietmar Hömberg [log in to unmask] Date: October 17, 2020 Subject: Maths for Industry 4.0, ONLINE, Dec 2020 In a joint activity of the Special Interest Groups Mathematics for Big Data and Math for the Digital Factory of the European Consortium for Mathematics in Industry (ECMI) this workshop strives to bring together data scientists, mathematicians, and engineers from academia and industry to discuss recent developments in digital manufacturing. The webinar consists of a combination of plenary and contributed scientific talks. There will be a session on digital twin technology with presentations highlighting theoretical concepts and practitioners from industry showing state of the art digital twin realizations. Another topic will be machine learning and artificial intelligence applications in automated manufacturing. In addition, we plan a session with representatives of the MANUFUTURE technology platform and the EU Industrial Technologies Programme (NMP) about challenges in manufacturing research and funding opportunities in the new Horizon Europe framework program. Further information about confirmed plenary speakers, submission of abstracts and pre-registration can be found on the event webpage, http://www.wias-berlin.de/workshops/MA4DIFA/ ------------------------------------------------------- From: Andreas Stathopoulos [log in to unmask] Date: October 16, 2020 Subject: Deadline Extensions, SIAM Applied Linear Algebra, USA, May 2021 SIAM Conference on Applied Linear Algebra (LA21) Dates: May 17-21, 2021 Location: New Orleans, LA, USA EXTENDED DEADLINES - November 2, 2020: Minisymposium proposals - November 30, 2020: Posters and abstracts for contributed and minisymposium speakers For an up to date COVID-19 contingency plan FAQ regarding LA21, visit: https://sinews.siam.org/Details-Page/faq-on-covid-19-contingency-plans-for-la21 For information about the conference, visit https://www.siam.org/conferences/cm/conference/la21 . ------------------------------------------------------- From: Asya Mkhitaryan [log in to unmask] Date: October 20, 2020 Subject: Senior R&D Engineer Position, Synopsys Synopsys Inc. is seeking talented Senior R&D Engineers, with expertise in scientific computing and software development, who will join the Synopsys TCAD team to develop exciting physics-based simulation platforms, used by semiconductor corporations, research institutions, and universities worldwide. Primary responsibilities include designing, developing, and implementing software infrastructure components, novel physics and geometry modeling engines to enable the fast and accurate simulation of large semiconductor devices, interconnects and circuits consisting of many interconnected devices. You will be joining a high- performing and collaborative R&D culture with diverse expertise, experience and interests in software development and scientific computing, and will enjoy a creative and international work environment. Requirements: PhD or MS in Computer Science, Physics, Engineering or Applied Mathematics with + 3 years of development experience; Strong design/programming skills in C++ and strong background in data structures and algorithms; Experience with modern algorithms for the computational solution of partial differential equations or 3D unstructured mesh generation; Experience developing FEM (finite element method) or FVM (finite volume method) analysis simulators in commercial and/or industrial/research lab settings. Please find more information on positions, requirements and online application form at: https://bit.ly/3kdH7HE https://bit.ly/2IDbppq https://bit.ly/35fV6qn ------------------------------------------------------- From: Heike Sill [log in to unmask] Date: October 19, 2020 Subject: Research Assistant Position, Germany WIAS invites applications for a Research Assistant Position (m/f/d) (Ref. 20/20) in the Research Group "Stochastic Algorithms and Nonparametric Statistics" (Head: Prof. Dr. Vladimir Spokoiny) starting at January 1st, 2021 for the project "Analysis of brain signals by Bayesian Optimal Transport" within the framework of the excellence cluster Math+. The preconditions are a completed scientific university education as well as a doctorate in the field of mathematics or equivalent experience. Wanted: We are seeking outstanding scientists in a research field of statistics, machine learning, or optimization. The research area comprises the following topics among other: Optimal transport. Statistical image analysis. Bayesian methods. Classification and clustering. Large-scale optimization. Very good English skills are still expected. International experience is also advantageous. The position is remunerated according to TVoD and is limited until December 31st, 2022. The work schedule is 39 hours per week, and the salary is according to the German TVoD scale. See here for more information: https://short.sg/a/7825477 ------------------------------------------------------- From: Axel Kroener [log in to unmask] Date: October 20, 2020 Subject: Research Assistant Position, WIAS, Germany WIAS invites in the Research Group "Nonsmooth Variational Problems and Operator Equations" (Head: Prof. Dr. M. Hintermuller) applications for a Research Assistant Position (f/m/d) (Ref. 20/23) to be filled at the earliest possible date. Field of work: Optimization with partial differential equations. 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 or variational problems in mathematical image processing. In addition to analytical considerations, the development and implementation of numerical solution methods are of central importance. Wanted: A motivated, outstanding young 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 as well as very good knowledge in the areas of - Optimal control with partial differential equations and numerical solution methods, - Quasivariation inequalities, - Non-smooth variation problems, e.g. with applications in image processing, as well as experience in the computer-aided realization of the associated numerical solution methods. For further information: https://short.sg/j/7839947 The search for a qualified candidate will start immediately and continue until the position is filled. ------------------------------------------------------- From: Martin Buecker [log in to unmask] Date: October 15, 2020 Subject: Research Scientist/Postdoc Positions, Friedrich Schiller Univ, Germany The Friedrich Schiller University Jena, founded in 1558, invites applications for four positions to start a new university-wide center to strengthen research in data-driven and simulation science. Establishing such a competence center is an exciting opportunity for people with an exceptional ability to believe what should happen in the future of computational and data science. The official announcements for the positions - acting manager - high-performance computing - research data management - visualization and data exploration are available at: https://www.mscj.uni-jena.de/opportunities/ ------------------------------------------------------- From: Steven Fletcher [log in to unmask] Date: October 12, 2020 Subject: Postdoc Position, Data Assimilation and ML, CIRA, USA The Cooperative Institute for Research in the Atmosphere at Colorado State University in Fort Collins, Colorado, USA has the following position available: Postdoctoral Fellow, Data Assimilation and Machine Learning Scientist (20-118) The Cooperative Institute for Research in the Atmosphere (CIRA) at Colorado State University seeks to fill a postdoctoral fellowship in November 2020 as part of a National Science Foundation (NSF) award to train a new scientist in data assimilation and machine learning techniques. Located at CIRA in Fort Collins, Colorado, this fellowship is intended for persons who have completed their Ph.D.'s within the last 3 years and may last up to 3 years contingent upon NSF funding availability. Recent work at CIRA has focused on non-Gaussian-based data assimilation systems that are mixed Gaussian-lognormal based. As part of a previous award, a second non-Gaussian distribution has been detected in the Lorenz 63 model, as well as early indication of this reverse lognormal distribution in the output from the Weather Research and Forecasting (WRF) model. The individual in this position will develop the theory of the reverse lognormal in both variational and ensemble data assimilation systems. Specifically, the individual in this position will serve as a member of the CIRA data assimilation group and will test the robustness of machine learning techniques to identify the links between non-Gaussian distributions and different atmospheric scale dynamics, convert the hybrid version of WRF-GSI to have a non- Gaussian component, and assess the robustness of new non-Gaussian based ensemble systems along with advancing the development of a new version of the Maximum Likelihood Ensemble Smoother. For full position announcement and to apply, please click "Apply to this Job" at the following website: http://jobs.colostate.edu/postings/80087. CSU is an EO/EA/AA employer and conducts background checks on all final candidates. ------------------------------------------------------- From: Human Resources [log in to unmask] Date: October 13, 2020 Subject: Postdoc Position, HPC Numerical Algorithms, LBNL HPC Numerical Algorithms Postdoctoral Researcher - 91276 Organization: CR-Computational Research Berkeley Lab's Computational Research (https://crd.lbl.gov/) Division has an opening for a HPC Numerical Algorithms Postdoctoral Researcher to work on high-performance numerical algorithm development. The Applied Numerical Algorithms Group (ANAG) develops advanced numerical algorithms and software for partial differential equations integrated with the application of the software to problems of independent scientific and engineering interest. The primary focus of our work is in the development of high-resolution and adaptive discretizations of partial differential equations in complex geometries, targeting DOE-mission applications including biological systems, electro-chemical and electro-magnetic systems, climate, and fusion energy. We are seeking strong software and applied math candidates that can help develop the next generation of finite volume numerical algorithms, which must be both highly accurate and fast on multi-core and GPU architectures. You will join an interdisciplinary team of applied mathematicians and software engineers to develop new algorithms for next-generation high performance computing (HPC) computational science simulations. We value and strive for diversity in backgrounds, experiences, and perspectives. What You Will Do: Analyze accuracy and stability of numerical algorithms and linear algebra solvers. Understand C++ software design and development for high- performance computer architectures. Contribute to publications and participate in conferences and meetings. Contribute in a multidisciplinary team environment which includes mathematicians, software developers, and computational scientists. What is Required: Ph.D. in Applied Mathematics, Computer Science, or Physical Sciences/Engineering within the last 3 years, with a strong research background in at least some of applied mathematics, computational methods, and scientific computing. General experience in developing and using numerical software for partial differential equations. Some experience in C/C++ programming. Experience developing mathematical and software models for science applications is desired. Understanding of computer systems architecture and their contributions to the overall system performance is also desirable. For full consideration, please submit a CV. The posting shall remain open until the position is filled. Apply directly online at http://50.73.55.13/counter.php?id=187784 and follow the on-line instructions to complete the application process. ------------------------------------------------------- From: Bobby Philip [log in to unmask] Date: October 13, 2020 Subject: Postdoc Position, Multi-physics Methods and Simulation, LANL We invite applications for a postdoc position in our group at Los Alamos National Laboratory focused on developing high fidelity simulation tools for Inertial Confinement Fusion (ICF) and High Energy Density (HED) physics. The successful applicant will be part of a team that is developing new mathematical algorithms and techniques for coupled multiscale multi-physics simulations of kinetic plasmas, radiation, electromagnetic effects, and nonlinear laser plasma interactions. Further details regarding the position and how to apply can be found at: https://lanl.jobs/los-alamos-nm/computational-physics-and-methods- postdoc/0CE995091B9944739B0F08C4F200EF16/job Please feel free to contact Bobby Philip ( bphilip at lanl.gov ) for questions regarding this position. ------------------------------------------------------- From: Per Christian Hansen [log in to unmask] Date: October 20, 2020 Subject: PhD & Postdoc Position, Computational UQ, Technical Univ of Denmark The Technical University of Denmark opens a 2-year Postdoc position and a 3-year PhD position starting January 1, 2021 or soon thereafter. These are part of the project Computational Uncertainty Quantification for Inverse problems, CUQI: www.compute.dtu.dk/english/cuqi. The postdoc will contribute to design, abstraction, and implementation of fundamental Bayesian inversion methods with focus on exploitation of problem structure, choice of sampling methods, acceleration of the forward model computations, and suitable user interfaces. The work is done in close collaboration with CUQI project members. The postdoc will also help support and train users of the CUQI software, as well as develop documentation and tests. The PhD student will pursue uniqueness results and stability estimates for inverse source problems and passive medium imaging problems involving random media. The project will quantify the uncertainty in solutions due to measurement noise or random medium noise, and due to incomplete measurement data, as well as derive and test convergence estimates for numerical solvers. Both the Postdoc and the PhD student will work individually and as team players supported by dedicated supervisors, and contribute to a general computational platform for UQ for inverse problems. Applicants are expected to contribute to teaching and training activities as well as supervision of students. For more details and to apply, see: https://tiny.cc/CUQI-Postdoc-3 and https://tiny.cc/CUQI-PhD-4 ------------------------------------------------------- From: Hakon Hoel [log in to unmask] Date: October 13, 2020 Subject: PhD Position, Numerical Analysis, RWTH Aachen Univ The Department of Mathematics at RWTH Aachen University invites applications for a PhD position in "Numerical analysis of stochastic differential equations and data assimilation" under the primary supervision of Hakon Hoel, Junior Professor at the Chair of Mathematics for Uncertainty Quantification. The position is funded for up to 3 years on the salary scale TV-L at 75%, and it comes with a teaching load of 3 hours weekly during the semester. The task and duties of the position consist of mathematical modeling, analysis and development of numerical methods for solving practically relevant problems in data assimilation, molecular dynamics and mathematical finance with uncertainties in the forward model and/or the measurement data. It is also expected that you will attend and present recent research findings at international conferences. Official announcement at RWTH: http://bit.ly/MATH4UQPHD Deadline: For full consideration, please apply by November 15th 2020, but applications will be accepted until the position is filled. The starting date is as soon as possible after November 15th 2020. For any further inquiries about the position, please contact Hakon Hoel ([log in to unmask]). ------------------------------------------------------- From: Sebastian Aland [log in to unmask] Date: October 14, 2020 Subject: PhD Position, Numerical Simulation of Cell Biology, Germany An open PhD position is available in the DFG project "Phase-Field Models for Biological Cells in Flow". The collaborative research project is shared between HTW Dresden and TU Freiberg. The funding will run for 3 years starting in early 2021 (negotiable). The salary is according to 75% of the German E13 scale (>38.000 Euro per year). The project is concerned with the numerical simulation of a biological cell and aims to develop a new method to detect cellular diseases by means of mathematical modeling and simulations. The mission will involve scientific exchange and collaboration with experimentalists and other researchers from all over the world. The successful candidate should have a diploma or master's degree in Mathematics, Computational Engineering Science, Physics, or a related field, with a sound knowledge in numerical methods and an interest in biological applications. Dresden is one of the most beautiful towns in Germany and evolved in recent years to an internationally recognized scientific center. It combines an outstanding scientific environment with a vivid cultural scene and cheap costs of living. The Faculty aims to increase the proportion of women in this field, so applications from women are particularly welcome. Please visit https://alandlab.de/job-opening/ for further information or contact: [log in to unmask] ------------------------------------------------------- From: Nail Yamaleev [log in to unmask] Date: October 16, 2020 Subject: PhD Position, Old Dominion Univ A PhD student assistantship is available in the Department of Mathematics and Statistics at Old Dominion University (Norfolk, VA). This position will provide a unique opportunity to work on a cutting-edge project in the group of Prof. N. Yamaleev in close collaboration with research scientists of NASA Langley Research Center. Current research in the group focuses on the development of new entropy stable schemes for the Navier-Stokes equations, adjoint-based methods for PDE-constrained optimization problems, and grid adaptation methods based on error minimization. Our group has a history of producing highly educated, independent, exceptionally talented PhD scientists and postdocs. More information about our research can be found at: https://www.odu.edu/directory/people/n/nyamalee#profiletab=1. A typical PhD study in our group leads to participation in national and international conferences and meetings, multiple publications in top journals such as Journal of Computational Physics, Computers & Fluids, AIAA Journal etc., and ample opportunities for networking with leading research scientists from NASA, national labs, academia, and industry. We are looking for an enthusiastic and highly motivated PhD candidate with a M.S. or B.S. degree in Mathematics, Computer Science, Engineering or a closely related field. A solid background in numerical methods, strong hands-on experience in programming in Fortran 90 or C++, and effective communication skills (written/spoken English) are required. The start date for this position is January 2021 or September 2021. Interested candidates should apply for a graduate assistantship in computational and applied mathematics at: https://www.odu.edu/admission/graduate . Further details on how to apply can be found at: http://catalog.odu.edu/graduate/collegeofsciences/mathematicsstatistics/#doctorofphilos ophy-computationalandappliedmathematics For more information, please contact Dr. Yamaleev at [log in to unmask] ------------------------------------------------------- From: Attila Tanács [log in to unmask] Date: October 12, 2020 Subject: Contents, Acta Cybernetica, 24 (3) ACTA CYBERNETICA, 24(3) Special Issue of the 11th Summer Workshop on Interval Methods http://cyber.bibl.u-szeged.hu/index.php/actcybern/issue/view/Vol_24_3 Preface, Ekaterina Auer, Julia Kersten, Andreas Rauh Chapter 1: Uncertainty Modeling, Software, Verified Computing and Optimization Sound Over-Approximation of Probabilities, Eugenio Moggi, Walid Taha, Johan Thunberg Reliable Visual Analytics, a Prerequisite for Outcome Assessment of Engineering Systems, Wolfram Luther, Ekaterina Auer, Benjamin Weyers Another Multibody Dynamics in Natural Coordinates through Automatic Differentiation and High-Index DAE Solving, John D Pryce, Nedialko Nedialkov Towards Analyzing the Influence of Measurement Errors in Magnetic Resonance Imaging of Fluid Flows, Kristine John, Andreas Rauh, Martin Bruschewski, Sven Grundmann Computer-assisted Existence Proofs for One-dimensional Schrodinger-Poisson Systems, Jonathan Wunderlich, Michael Plum Verified Solution to Optimal Control Problems of Elastic Rod Motion Based on the Ritz Method, Georgy Kostin Eigenvalue Placement by Quantifier Elimination - the Static Output Feedback Problem, Klaus Robenack, Rick Vosswinkel Chapter 2: Interval Methods in Control and Robotics Characterizing Sliding Surfaces of Cyber-Physical Systems, Luc Jaulin, Fabrice Le Bars Optimal Switching Instants for the Control of Hybrid Systems, Olivier Mullier, Julien Alexandre dit Sandretto, Alexandre Chapoutot Verified Interval Enclosure Techniques for Robust Gain Scheduling Controllers, Julia Kersten, Andreas Rauh, Harald Aschemann Interval Predictors for a Class of Uncertain Discrete-Time Systems, Nacim Meslem, John Martinez From Verified Parameter Identification to the Design of Interval Observers and Cooperativity-Preserving Controllers, Andreas Rauh, Julia Kersten On Interval Observer Design for Continuous-Time LPV Switched Systems, Chaima Zammali, Jeremy Van Gorp, Tarek Raissi Cooperative Localization of Drones by using Interval Methods, Ide Flore Kenmogne, Vincent Drevelle, Eric Marchand Reliable Bounding Zones and Inconsistency Measures for GPS Positioning using Geometrical Constraints, Hani Dbouk, Steffen Schon ------------------------------------------------------- From: Computational methods in applied mathematics (CMAM) [log in to unmask] Date: October 14, 2020 Subject: Contents, Computational Methods in Applied Mathematics, 2020 (4) COMPUTATIONAL METHODS IN APPLIED MATHEMATICS (2020), No 4 Contains Special Issue Articles Dedicated to the Memory of Academician Alexander Samarskii Modern Problems of Numerical Analysis. On the Centenary of the Birth of Alexander Andreevich Samarskii, Raytcho Lazarov, Piotr Matus, and Petr Vabishchevich Finite Difference Approximation of a Generalized Time-Fractional Telegraph Equation, Aleksandra Delic, Bosko S. Jovanovic, and Sandra Zivanovic Weighted Estimates for Boundary Value Problems with Fractional Derivatives, Ivan P. Gavrilyuk, Volodymyr L. Makarov, and Nataliya V. Mayko Lagrangian Mixed Finite Element Methods for Nonlinear Thin Shell Problems, Mikhail M. Karchevsky Reliable Computer Simulation Methods for Electrostatic Biomolecular Models Based on the Poisson-Boltzmann Equation, Johannes Kraus, Svetoslav Nakov, and Sergey Repin Adaptive Space-Time Finite Element Methods for Non-autonomous Parabolic Problems with Distributional Sources, Ulrich Langer and Andreas Schafelner On Convergence of Difference Schemes for Dirichlet IBVP for Two- Dimensional Quasilinear Parabolic Equations with Mixed Derivatives and Generalized Solutions, Piotr Matus, Dmitriy Poliakov, and Le Minh Hieu Difference Schemes on Uniform Grids for an Initial-Boundary Value Problem for a Singularly Perturbed Parabolic Convection-Diffusion Equation, Grigorii I. Shishkin and Lidia P. Shishkina A Finite Element Splitting Method for a Convection-Diffusion Problem, Vidar Thomee Incomplete Iterative Implicit Schemes, Petr N. Vabishchevich Explicit Runge-Kutta Methods Combined with Advanced Versions of the Richardson Extrapolation, Zahari Zlatev, Ivan Dimov, Istvan Farago, Krassimir Georgiev, and Agnes Havasi Regular research articles: A General Superapproximation Result, Susanne C. Brenner A First-Order Explicit-Implicit Splitting Method for a Convection-Diffusion Problem, Amiya K. Pani, Vidar Thomee, and A.S. Vasudeva Murthy A Factorization of Least-Squares Projection Schemes for Ill-Posed Problems, Shukai Du and Nailin Du A New Mixed Functional-probabilistic Approach for Finite Element Accuracy, Joel Chaskalovic and Franck Assous Error Analysis of a Finite Difference Method on Graded Meshes for a Multiterm Time-Fractional Initial-Boundary Value Problem, Chaobao Huang, Xiaohui Liu, Xiangyun Meng, and Martin Stynes A Finite Element Method for Elliptic Dirichlet Boundary Control Problems, Michael Karkulik ------------------------------------------------------- From: Ed Saff [log in to unmask] Date: October 19, 2020 Subject: Contents, Constructive Approximation, 52 (2) Constructive Approximation Volume 52, Issue 2, October 2020 Table of Contents Ambient Approximation on Embedded Submanifolds, L. B. Maier Sampling Almost Periodic and Related Functions, Stefano Ferri, Jorge Galindo, and Camilo Gomez Sharp Remez Inequality, S. Tikhonov and P. Yuditskii The Generalized Operator Based Prony Method, Kilian Stampfer and Gerlind Plonka Approximation to uniform distribution in SO(3), Carlos Beltran and Damir Ferizovic Hyperuniform Point Sets on Flat Tori: Deterministic and Probabilistic Aspects, Tetiana A. Stepanyuk Constructive Approximation An International Journal for Approximations and Expansions Published by Springer http://link.springer.com/journal/365 ------------------------------------------------------- From: Lothar Reichel [log in to unmask] Date: October 20, 2020 Subject: Contents, ETNA, 51 Electronic Transactions on Numerical Analysis http://etna.mcs.kent.edu/volumes/2011-2020/vol51/ V. Nallapu, Bernstein fractal approximation and fractal full Muntz theorems T. Valkonen, Block-proximal methods with spatially adapted acceleration M. Brdar, S. Franz, and H.-G. Roos, Numerical treatment of singularly perturbed fourth-order two-parameter problems M. Ehler, S. Kunis, T. Peter, and C. Richter, A randomized multivariate matrix pencil method for superresolution microscopy K. Sakowski, L. Marcinkowski, P. Strak, P. Kempisty, and S. Krukowski, On the composite discontinuous Galerkin method for simulations of electric properties of semiconductor devices C. Hofmann, B. Hofmann, and A. Pichler, Simultaneous identification of volatility and interest rate functions - a two-parameter regularization approach A. Napov and R. Perrussel, Revisiting aggregation-based multigrid for edge elements A. Goddard and A. Wathen, A note on parallel preconditioning for all-at-once evolutionary PDEs Sk. S. Ahmad, Perturbation analysis for palindromic and anti-palindromic nonlinear eigenvalue problems S. Amstutz and P. Gangl, Topological derivative for the nonlinear magnetostatic problem J. R. Van Zandt, Efficient cubature rules P. Kurschner, Approximate residual-minimizing shift parameters for the low-rank ADI iteration X.-Q. Lei, Phi-type inclusion set for eigenvalues of a tensor Christian Clason and Vu Huu Nhu, Bouligand-Levenberg-Marquardt iteration for a non-smooth ill-posed inverse problem T. A. Nhan and R. Vulanovic, Analysis of the truncation error and barrier-function technique for a Bakhvalov-type mesh M. M. Pandur, Preconditioned gradient iterations for the eigenproblem of definite matrix pairs W.-R. Xu, N. Bebiano, and G.-L. Chen, On the construction of real non-selfadjoint tridiagonal matrices with prescribed three spectra A. Napov and R. Perrussel, Algebraic analysis of two-level multigrid methods for edge elements A. Neubauer, Augmented GMRES-type versus CGNE methods for the solution of linear ill-posed problems A. Klawonn, M. Lanser, O. Rheinbach, and J. Weber, Preconditioning the coarse problem of BDDC methods - three-level, algebraic multigrid, and vertex-based preconditioners N. Van Buggenhout, M. Van Barel, and R. Vandebril, Biorthogonal rational Krylov subspace methods Y. Feng, J. Xiao, and M. Gu, Flip-flop spectrum-revealing QR factorization and its applications to singular value decomposition A. Badahmane, A. H. Bentbib, and H. Sadok, Preconditioned global Krylov subspace methods for solving saddle point problems with multiple right-hand sides R. Kehl, R. Nabben, and D. B. Szyld, Adaptive multilevel Krylov methods H.-X. Zhong and G.-L. Chen, Thick restarting the weighted harmonic Golub-Kahan-Lanczos algorithm for the linear response eigenvalue problem H. Kanda, Laminar-turbulent transition in channel flow: wall effects and critical Reynolds number ------------------------------------------------------- From: Raimondas Ciegis [log in to unmask] Date: October 13, 2020 Subject: Contents, MMA Journal, 25 (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 Volume 25, Issue 4, 2020 Aliya Kantarbayeva and Almaz Mustafin, A Biologically Inspired Fluid Model of the Cyclic Service System Said R. Grace and John R. Graef, Oscillatory Behavior of Higher Order Nonlinear Difference Equations Amir Hossein Salehi Shayegan, Ali Zakeri and Seyed Mohammad Hosseini, A Numerical Method for Solving Two-Dimensional Nonlinear Parabolic Problems Based on a Preconditioning Operator Michel Kern, Abdelaziz Taakili and Mohamed M. Zarrouk, Preconditioned Iterative Method for Reactive Transport with Sorption in Porous Media Roma Ka{\v c}inskait{\.e} and Kohji Matsumoto, On Mixed Joint Discrete Universality for a Class of Zeta-Functions: a Further Generalization Rima Kriauzien{\. e}, Andrej Bugajev and Raimondas {\v C}iegis, A Three-Level Parallelisation Scheme and Application to the Nelder-Mead algorithm Mariana Chivu Cojocaru and Andaluzia Matei, On a Class of Saddle Point Problems and Convergence Results Jurgita Arnastauskait{\.e} and Tomas Ruzgas, Accuracy of Nonparametric Density Estimation for Univariate Gaussian Mixture Models: a Comparative Study Kishor D. Kucche, Jyoti P. Kharade and J. Vanterler da C. Sousa, On the Nonlinear Impulsive $\Psi$--Hilfer Fractional Differential Equations J. Christy Roja and Ayyadurai Tamilselvan, An Overlapping Schwarz Method for Singularly Perturbed Fourth-Order Convection-Diffusion Type Haniye Dehestani, Yadollah Ordokhani and Mohsen Razzaghi, Numerical Solution of Variable-Order Time Fractional Weakly Singular Partial Integro-Differential Equations with Error Estimation ------------------------------------------------------- End of Digest **************************