[External Email] Subject: NA Digest, V. 20, # 27 NA Digest Sunday, July 19, 2020 Volume 20 : Issue 27 Today's Editor: Daniel M. Dunlavy Sandia National Labs [log in to unmask] Today's Topics: Graduate numerical linear algebra: are your students ready? Julia version of numerical comp text available online Autumn School, Bilevel Optimization, ONLINE, Oct 2020 Staff Position, Numerical PDEs and Scientific Computing, Argonne Associate Professor Position, Stat Appl Maths/Data Science, UK Lecturer Position, Applied Mathematics, Univ of the Witwatersrand Lecturer Position, Comp Finance, Univ of the Witwatersrand Lecturer Position, Numerical Analysis, Univ of the Witwatersrand Lecturer Position, Optimization, Univ of the Witwatersrand Postdoc Position, Optimization/ Computer Vision, SZU PhD Position, KU Leuven & Czech Technical Univ, Prague PhD Position, Numerical Analysis of PDEs, Monash Univ PhD Position, Restricted Mean-Field Games, WIAS, Berlin PhD Positions, Applied Mathematics, Univ of Goettingen PhD Program, PharMetrX, Berlin/Potsdam, Germany CFP, GEM Topical Collection on Numerical Methods for Ocean Modeling CFP, Machine Learning for Control Systems and Optimal Control Contents, Computational Methods in Applied Mathematics, 2020 (3) Contents, Numerical Algorithms, 84 (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: Robert van de Geijn [log in to unmask] Date: July 17, 2020 Subject: Graduate numerical linear algebra: are your students ready? When teaching a graduate numerical linear algebra course, we often discover that some students are a bit rusty in undergraduate linear algebra. To help students self-assess their knowledge and skills, we have created a pretest we intend to use for our "Advanced Linear Algebra for Computing" course that is part of UT-Austin's Masters in Computer Science Online program and our "Advanced Linear Algebra: Foundations to Frontiers" (ALAFF) Massive Open Online Course offered on edX. By encouraging future students to take this test well before the semester starts, we hope to give them time to get ready. Having created this resource, which provides full solutions, context, and pointers to review materials, it occurred to us that others may find use for it as well. It can be accessed at http://www.cs.utexas.edu/users/flame/laff/alaff/ALAFF-pretest.html. Please forward this message to those who teach NLA at your institution. We welcome feedback. ------------------------------------------------------- From: Toby Driscoll [log in to unmask] Date: July 15, 2020 Subject: Julia version of numerical comp text available online I have converted the first half of my textbook with Rich Braun, called Fundamentals of Numerical Computation, to an online format and ported it to be entirely in Julia. This version of the text, which will not change except for typos and important fixes, will remain available at https://fncbook.github.io/v1.0 (The latest version is found at https://fncbook.github.io/fnc/. That is not the best URL to distribute to a class, however, as there may be changes at any time.) We are interested in comments and suggestions. The best way to make those is to file an issue at https://github.com/fncbook/fnc/issues, but email to [log in to unmask] is fine. ------------------------------------------------------- From: Martin Schmidt [log in to unmask] Date: July 14, 2020 Subject: Autumn School, Bilevel Optimization, ONLINE, Oct 2020 Bilevel optimization problems have attracted considerable attention over the last decades since their structure allows the modeling of a large number of real-life problems involving two types of decision makers, a leader and a follower, interacting sequentially in a hierarchical setting. This rather young and highly active field at the interfaces between mathematical optimization, computer science, and operations research has grown a lot in the last years. The studied problems are constrained optimization problems in which some constraints specify that a subset of variables constitutes an optimal solution of another (nested) optimization problem. Bilevel problems constitute a class of very difficult problems because they are inherently nonconvex and nondifferentiable. They are already NP-hard even if both levels are linear problems. In the ALOP (https://alop.uni-trier.de) autumn school on bilevel optimization we will have introductory talks on the topics of linear as well as mixed- integer linear bilevel problems and on the relation between bilevel optimization, MPECs, and variational inequalities. The confirmed speakers are Martine Labbe (Universite Libre de Bruxelles), Ivana Ljubic (ESSEC Business School of Paris), and Didier Aussel (Universite de Perpignan). Due to the current circumstances, the autumn school will take place online via Zoom meetings. Registration and participation is free of charge and we will provide certificates of participation. The registration deadline is September 28, 2020. We also plan to have an elevator pitch session, where all participants can present their current research in short talks of 3 minutes. All relevant information and updates can be found at https://alop.uni-trier.de/event/autumn-school-on-bilevel-optimization. ------------------------------------------------------- From: Stefan Wild [log in to unmask] Date: July 19, 2020 Subject: Staff Position, Numerical PDEs and Scientific Computing, Argonne The Laboratory for Applied Mathematics, Numerical Software, and Statistics (LANS) in the Mathematics and Computer Science Division at Argonne National Laboratory is seeking a research staff member in the area of partial differential equations (PDEs), numerical software, and scientific computing. We value and strive for diversity in backgrounds, experiences, and perspectives. The staff member will lead a basic research program and build computational tools and methods for the solution of computational science problems on distributed/scalable parallel computers. The staff member will work with science and engineering application codes as well as math libraries such as PETSc. The appointment level will be commensurate with experience; US citizenship is not required. Senior applicants: https://bit.ly/2Otr7De Earlier-career applicants: https://bit.ly/2B1Rxch As an equal employment opportunity and affirmative action employer, Argonne National Laboratory is committed to a diverse and inclusive workplace that fosters collaborative scientific discovery and innovation. In support of this commitment, Argonne encourages minorities, women, veterans and individuals with disabilities to apply for employment. Argonne considers all qualified applicants for employment without regard to age, ancestry, citizenship status, color, disability, gender, gender identity, genetic information, marital status, national origin, pregnancy, race, religion, sexual orientation, veteran status or any other characteristic protected by law. ------------------------------------------------------- From: David Chappell [log in to unmask] Date: July 18, 2020 Subject: Associate Professor Position, Stat Appl Maths/Data Science, UK The Department of Physics and Mathematics within NTU's School of Science and Technology invites applications for an Associate Professor in Statistical Applied Mathematics or Data Science. Visit the link below for more details or to submit an online application: https://vacancies.ntu.ac.uk/displayjob.aspx?jobid=7707 ------------------------------------------------------- From: MONTAZ ALI [log in to unmask] Date: July 13, 2020 Subject: Lecturer Position, Applied Mathematics, Univ of the Witwatersrand Description: The School of Computer Science and Applied Mathematics undertakes high-quality research in a wide variety of areas and is home to several South African National Research Foundation (NRF) rated scientists. In the domain of Applied Mathematics, the School's main research areas include symmetry methods of differential equations, mathematical modelling, control theory, optimization, numerical analysis and continuum mechanics. Research areas are in mathematics of finance, include but not limited to, portfolio optimization, risk management, risk measurement, stochastic processes in finance and interest rate modelling. We seek applicants with some research and teaching experience in the area of Applied Mathematics. Qualifications: Applicants must hold a doctorate in Applied Mathematics. A background in Mathematics for Business will be an advantage. The following factors will be taken into account, (i) some evidence of publications in accredited journals, (ii) current or future research areas and how this research will be compatible with and/or strengthen the research activity within the department, (iii) teaching experience at a tertiary institution. New PhD graduates will be considered. Duties: The successful applicant will be expected to teach topics in Mathematics for Business, Finance and Economics, and Financial Mathematics - A Computational Approach, at undergraduate. Postgraduate teaching, supervise and/or co-supervise honours students will be minimal. Participation in academic administration and develop a productive research programme will be required. Applications: Submit a covering letter accompanied by a detailed and updated curriculum vitae, NRF rating (if available), description of research interests, description of a teaching philosophy or portfolio, certified copies of all educational qualifications and identity document with names and e-mail addresses of three referees. To apply: External applicants are invited to apply by registering their profile on the Wits i-Recruitment platform located at https://irec.wits.ac.za and submitting applications. Internal employees are invited to apply directly on Oracle by following the path: iWits /Self Service application/"Apply for a job". Correspondence will be entered into with short-listed candidates only. Short-listed applicants must be available for a personal or telephonic/Skype interview, and the presentation of a short lecture on a topic decided by the School and a seminar on the proposed line of research may be required. Closing date: 31 July 2020 ------------------------------------------------------- From: MONTAZ ALI [log in to unmask] Date: July 13, 2020 Subject: Lecturer Position, Comp Finance, Univ of the Witwatersrand Description: The School of Computer Science and Applied Mathematics undertakes high-quality research in a wide variety of areas and is home to several NRF rated scientists. In the domain of Applied Mathematics, the School's main research areas include symmetry analysis of differential equations, mathematical modelling, control theory, optimization, numerical analysis and fluid and solid mechanics. Research areas are in mathematics of finance, include but not limited to portfolio optimization, risk management, risk measurement, stochastic processes in finance and interest rate modelling. We seek applicants with some research and teaching experience in the area of computational finance or mathematics of finance. Qualifications: Applicants must hold a doctorate in Mathematical Sciences, Computational Finance or Mathematics of Finance. Some teaching experience at a tertiary institution will be an advantage. New PhD graduates will be considered. Duties: The successful applicant will be expected to teach Computational Finance or Mathematics of Finance topics at postgraduate levels, supervise and/or co-supervise honours students, participate in academic administration and develop a productive research profile in field of Mathematics of Finance field. Applications: Submit a covering letter accompanied by a detailed updated curriculum vitae, NRF rating (if available), description of research interests, description of a teaching portfolio, certified copies of all educational qualifications and identity document with names and e- mail addresses of three referees. To apply: External applicants are invited to apply by registering their profile on the Wits i-Recruitment platform located at https://irec.wits.ac.za and submitting applications. Internal employees are invited to apply directly on Oracle by following the path: iWits /Self Service application/"Apply for a job". Correspondence will be entered into with short-listed candidates only. Short-listed applicants must be available for a personal or telephonic/Skype interview, and the presentation of a short seminar on the proposed line of research may be required. Closing date:31 July 2020 ------------------------------------------------------- From: MONTAZ ALI [log in to unmask] Date: July 13, 2020 Subject: Lecturer Position, Numerical Analysis, Univ of the Witwatersrand Description: The School of Computer Science and Applied Mathematics undertakes high-quality research in a wide variety of areas and is home to several South African National Research Foundation (NRF) rated scientists. In the domain of Applied Mathematics, the School's main research areas include symmetry methods of differential equations, mathematical modelling, control theory, optimization, numerical analysis and continuum mechanics. Research areas are in mathematics of finance, include but not limited to, portfolio optimization, risk management, risk measurement, stochastic processes in finance and interest rate modelling. We seek applicants with some research and teaching experience in the area of Numerical Analysis and/ or Numerical Methods. Qualifications: Applicants must hold a doctorate in Numerical Analysis or in Applied Mathematics with a strong focus on Numerical Methods. The following factors will be taken into account, (i) evidence of publications in accredited journals, (ii) current or future research areas and how this research will be compatible with and/or strengthen the research activity within the department, (iii) teaching experience at a tertiary institution. New PhD graduates will be considered. Duties: The successful applicant will be expected to teach Numerical Analysis courses at undergraduate and postgraduate levels, supervise and/or co-supervise honours students, participate in academic administration and develop a productive research programme. Applications: Submit a covering letter accompanied by a detailed and updated curriculum vitae, NRF rating (if available), description of research interests, description of a teaching philosophy or portfolio, certified copies of all educational qualifications and identity document with names and e-mail addresses of three referees. To apply: External applicants are invited to apply by registering their profile on the Wits i-Recruitment platform located at https://irec.wits.ac.za and submitting applications. Internal employees are invited to apply directly on Oracle by following the path: iWits /Self Service application/"Apply for a job". Correspondence will be entered into with short-listed candidates only. Short-listed applicants must be available for a personal or telephonic/Skype interview, and the presentation of a short lecture on a topic decided by the Head of School and a seminar on the proposed line of research may be required. Closing date: 31 July 2020 ------------------------------------------------------- From: MONTAZ ALI [log in to unmask] Date: July 13, 2020 Subject: Lecturer Position, Optimization, Univ of the Witwatersrand Description: The School of Computer Science and Applied Mathematics undertakes high-quality research in a wide variety of areas and is home to several NRF rated scientists. In the domain of Applied Mathematics, the School's main research areas include symmetry analysis of differential equations, mathematical modelling, control theory, optimization, numerical analysis and fluid and solid mechanics. Research areas are in mathematics of finance, include but not limited to, portfolio optimization, risk management, risk measurement, stochastic processes in finance and interest rate modelling. We seek applicants with some research and teaching experience in the area of Optimization. Qualifications: Applicants must hold a doctorate in Optimization. Some teaching experience at a tertiary institution will be an advantage. New PhD graduates will be considered. Duties: The successful applicant will be expected to teach Optimization topics at undergraduate and postgraduate levels, supervise and/or co- supervise honours students, participate in academic administration and develop a productive research programme. Applications: Submit a covering letter accompanied by a detailed updated curriculum vitae, NRF rating (if available), description of research interests, description of a teaching portfolio, certified copies of all educational qualifications and identity document with names and e- mail addresses of three referees. To apply: External applicants are invited to apply by registering their profile on the Wits i-Recruitment platform located at https://irec.wits.ac.za and submitting applications. Internal employees are invited to apply directly on Oracle by following the path: iWits /Self Service application/"Apply for a job". Correspondence will be entered into with short-listed candidates only. Short-listed applicants must be available for a personal or telephonic/Skype interview, and the presentation of a short seminar on the proposed line of research may be required. Closing date: 31 July 2020 ------------------------------------------------------- From: J. Lu [log in to unmask] Date: July 17, 2020 Subject: Postdoc Position, Optimization/ Computer Vision, SZU Job Type: Full-Time Duration: 2 years Number of Position: 4 Positions Salary for Postdoc: about 330,000 -- 370,000 RMB (47000 -- 53000 US dollars) per year for those who are less than 35 years old and obtained a PhD degree no more than 3 years; about 480,000 RMB (about 68,000 US dollars) per year for those who are less than 35 years old and have obtained Ph.D. degrees from universities ranked 200 in the world (e.g., Times Higher Education World University Ranking, QS, USNEWS). Closing Date: Open Until Filled Description: We have projects that are looking for Postdoc in Optimization/Computer Vision, etc. We have no teaching tasks for Postdoc. Promotor: Prof. Jian Lu (Shenzhen Key Laboratory of Advanced Machine Learning and Applications, College of Mathematics, Shenzhen University) Those who are interested please send their C.V. to Prof. Jian Lu (email: [log in to unmask]; [log in to unmask]). ------------------------------------------------------- From: Wim Michiels [log in to unmask] Date: July 15, 2020 Subject: PhD Position, KU Leuven & Czech Technical Univ, Prague A PhD position is available on the interdisciplinary project "Design methods and computational tools for delay based vibration control of mechatronic systems". Recently novel techniques for vibration absorption, which involve the use of delay based input shapers and so-called delayed resonators, have been developed and successfully applied to flexible mechatronic systems. The aim of the project is to analyze properties of poles and zeros of multi-input, multi-output systems with delays, and to develop and validate optimization based control design techniques, grounded in simultaneously shaping spectra of poles and zeros, and capable of solving co-design problems of absorbers and higher-level controllers (to position a platform or to manipulate a robot's arm). These requirements stem from the property that for future-generation delay based vibration suppression techniques, a separation principle allowing a separate design of absorbers and controllers, is no longer viable, necessitating fundamentally different design tools. We offer a PhD position for four years at KU Leuven (main institution) and the CTU in Prague (one year stay), two top European universities and hubs for interdisciplinary research in the fields of Applied Mathematics and Systems & Control, aiming at a double doctorate. This vacancy fits within a long-standing collaboration and a joint project between the research groups of W. Michiels (KU Leuven - Numerical Analysis and Applied Mathematics Center) and T. Vyhlidal (Czech Technical University in Prague, Faculty of Mechanical Engineering). More information and application instructions can be found at https://people.cs.kuleuven.be/~wim.michiels/vacKULCTU.pdf ------------------------------------------------------- From: Ricardo Ruiz Baier [log in to unmask] Date: July 12, 2020 Subject: PhD Position, Numerical Analysis of PDEs, Monash Univ Applications are invited for fully funded PhD positions at the School of Mathematics of Monash University, Australia. The topics of the PhD projects relate broadly to the analysis of finite element methods for time-dependent interface problems in composite porous media with large deformations. Candidates are expected to have finished, or be about to finish, a Master's degree in mathematics or an equivalent qualification (candidates with degrees on different disciplines must show evidence that they completed a sufficient amount of mathematical training). A good command of numerical analysis, scientific computing, functional analysis, and PDEs is required. Inquiries and applications (including at least a cover letter, CV, certificates of academic degrees and references for possible recommendation letters) should be directed to Assoc. Prof. Ricardo Ruiz Baier ([log in to unmask]) until August 15, 2020. Further details on the School of Mathematics, the graduate programme, and the subject of the call can be found in https://www.monash.edu/science/schools/school-of-mathematics/postgraduate-research https://research.monash.edu/en/persons/ricardo-ruiz-baier ------------------------------------------------------- From: Axel Kroener [log in to unmask] Date: July 17, 2020 Subject: PhD Position, Restricted Mean-Field Games, WIAS, Berlin The Weierstrass Institute for Applied Analysis and Stochastics (WIAS) invites in the Research Group "Nonsmooth Variational Problems and Operator Equations" (Head: Prof. Dr. M. Hintermuller) applications for a PhD Student Position (f/m/d) (Ref. 20/13) to be filled at the earliest possible date. The position is associated with the research project "Restricted Mean-Field games: Analysis and Algorithms" within the DFG Priority Program SPP1962 "Non-smooth systems and complementarity problems with distributed parameters: simulation and multistage optimization". Prerequisite: Knowledge in the field of theory or numerics of partial differential equations and in optimization or game theory. Technical queries should be directed to Prof. Dr. Michael Hintermuller ([log in to unmask]). The position is remunerated according to TVoD and is limited to three years. Please upload your complete application documents (motivation letter, detailed CV, certificates, list of MSc courses and grades, copy of the master thesis, reference letter, etc.) via our applicant portal on https://short.sg/j/7196550 Deadline: August 7th, 2020 ------------------------------------------------------- From: Gerlind Plonka-Hoch [log in to unmask] Date: July 16, 2020 Subject: PhD Positions, Applied Mathematics, Univ of Goettingen Applications are invited for 2 PhD positions at the the Institute for Numerical and Applied Mathematics at the Universitat Goettingen. These PhD positions are within RTG 2088: Statistics meets optimization and inverse problems under my supervision. We offer an interdisciplinary qualification program that equips our graduate students with a broad set of skills for data analysis - also beyond the scientific scope of our RTG. Both positions start as soon as possible and are limited to 3 years. Candidates should hold an excellent or very good M.Sc. degree (or equivalent) in mathematics, have a strong interest in Fourier analysis, harmonic analysis, mathematical signal and image processing, and/or Bayesian statistics, feel comfortable with writing and speaking in English, ideally have experience in programming. The advertisement with exact description of the application process can be found under https://www.uni-goettingen.de/de/305402.html?cid=100708 Please contact me for any questions. ------------------------------------------------------- From: Cornelia Böhnstedt [log in to unmask] Date: July 16, 2020 Subject: PhD Program, PharMetrX, Berlin/Potsdam, Germany The Graduate Research Training Program PharMetrX: Pharmacometrics & Computational Disease Modelling is an interdisciplinary PhD program bridging pharmacy and mathematics. It aims at understanding the drug-patient-disease interaction by analysing data of drug concentration, effect & disease profiles of pre-/clinical trials and of therapeutic care by developing and using mathematical & statistical models. We are currently inviting applications to enrol in the PharMetrX Research+ Program or the PharMetrX Training+ Program. The PharMetrX Research+ Program (Research & Training & Network) comprises an excellent research environment in the vibrant Berlin/Potsdam area, fascinating and innovative research projects in a highly relevant field, truly transdisciplinary supervision, an individual mentorship from one of the associated industry partners, a specifically tailored training program of compact modules, a network of peers and a highly competitive 3.5 years fellowship. The PharMetrX Training+ Program (Training & Network) offers a specifically tailored training program of compact modules that convey the foundations in pharmacokinetics & pharmacodynamics, systems biology, statistics, methodological approaches of modelling & simulation etc. as well as a network of peers. It is open for PhD students who have already started their PhD in the field of pharmacometrics or will do so soon. Both programs are open to candidates with a university degree in pharmacy, pharmaceutical sciences, mathematics/statistics, bioinformatics, life sciences or medicine. See https://www.PharMetrX.de for further details. Deadline for applications: 15 September 2020. PharMetrX is a joint program of Freie Universitat Berlin and the Universitat Potsdam, supported by a consortium of global research-driven pharmaceutical companies. ------------------------------------------------------- From: Vadym Aizinger [log in to unmask] Date: July 13, 2020 Subject: CFP, GEM Topical Collection on Numerical Methods for Ocean Modeling GEM - International Journal on Geomathematics invites you to submit to the Topical Collection "Numerical Methods for Global and Regional Ocean Modeling" edited by Vadym Aizinger, Tuomas rna, Daniel Le Roux and Y. Joseph Zhang, which provides an overview of the progress in this rapidly developing area, to identify current challenges, and to present and discuss promising approaches. The topics covered include but are not limited to the design and analysis of novel discretization schemes for the hydrodynamics and other relevant physical processes, development of inverse and reduced order models, application of stochastic techniques, adaptivity, model coupling, and other mathematical and numerical methodologies relevant to the area of ocean modeling. In addition, submissions of overview papers reporting on significant conferences in the field are highly encouraged. The guest editors of this special issue invite interested authors to submit their contributions to GEM starting August 1, 2020 until July 31, 2021 and to spread this "Call for Papers" to other colleagues active in this area. Link to the announcement on the journal homepage: https://www.springer.com/journal/13137/updates/18141046 ------------------------------------------------------- From: Dante Kalise [log in to unmask] Date: July 16, 2020 Subject: CFP, Machine Learning for Control Systems and Optimal Control Mathematics of Control, Signals and Systems has a long tradition in publishing papers at the interface of machine learning and artificial intelligence with the mathematics of control systems and signals. An outstanding example is the seminal paper of George Cybenko on approximation by superposition of sigmoidal functions, which was published in MCSS in 1989. By now, it is well understood that there exist many fruitful links between optimal control, estimation and learning. For example, in supervised learning training, a neural network for classification tasks can be phrased as an optimal control problem. Likewise, there exist promising approaches to approximate the argmin operator of an optimization or optimal control problem via learning techniques. Hence MCSS is inviting mathematically rigorous original research articles for a special issue on 'Machine Learning for Control Systems and Optimal Control'. Submissions should investigate theoretical and numerical interconnections of optimal control and/or estimation with machine learning in a broad sense, i.e. including supervised learning, reinforcement learning, etc. At the top of this, the main objective of the special issue is not only to draw a state-of-the-art of the topic but also to provide significant novelties and to identify challenges for the future research. Submissions are open until January 31th 2021 and will undergo a rigorous peer-review process. The issue is expected to be published in 2021, in the meantime corrected proofs of accepted papers will be available as Online First. If any questions, please contact one of the associate editors: - Timm Faulwasser [log in to unmask] - Dante Kalise [log in to unmask] - Emmanuel Trelat mailto:[log in to unmask] ------------------------------------------------------- From: Computational methods in applied mathematics [log in to unmask] Date: July 13, 2020 Subject: Contents, Computational Methods in Applied Mathematics, 2020 (3) COMPUTATIONAL METHODS IN APPLIED MATHEMATICS https://www.degruyter.com/view/j/cmam/ (2020), No 3 Contents 1. Quasi-overlapping Semi-discrete Schwarz Waveform Relaxation Algorithms: The Hyperbolic Problem, Mohammad Al-Khaleel and Shu-Lin Wu 2. Numerical Solution to the 3D Static Maxwell Equations in Axisymmetric Singular Domains with Arbitrary Data, Franck Assous and Irina Raichik 3. The Gradient Discretisation Method for Linear Advection Problems, Jerome Droniou, Robert Eymard, Thierry Gallouet and Raphaele Herbin 4. Adaptive Mesh Refinement in 2D - An Efficient Implementation in Matlab, Stefan A. Funken and Anja Schmidt 5. A Robust Finite Element Method for Elastic Vibration Problems, Yuling Guo and Jianguo Huang 6. A Reduced Crouzeix-Raviart Immersed Finite Element Method for Elasticity Problems with Interfaces, Gwanghyun Jo and Do Young Kwak 7. Regularized Collocation in Distribution of Diffusion Times Applied to Electrochemical Impedance Spectroscopy, Sergei V. Pereverzev, Sergiy G. Solodky, Vitalii B. Vasylyk and Mark Zic. Free Access 8. Ensemble Algorithm for Parametrized Flow Problems with Energy Stable Open Boundary Conditions, Aziz Takhirov and Jiajia Waters 9. On the Parameter Choice in the Multilevel Augmentation Method, Suhua Yang, Xingjun Luo, Chunmei Zeng, Zhihai Xu and Wenyu Hu 10. Numerical Approximations for the Variable Coefficient Fractional Diffusion Equations with Non-smooth Data, Xiangcheng Zheng, Vincent J. Ervin and Hong Wang. Free Access ------------------------------------------------------- From: Claude Brezinski [log in to unmask] Date: July 19, 2020 Subject: Contents, Numerical Algorithms, 84 (4) Table of Contents, Numerical Algorithms, Vol. 84, No. 4 Special issue dedicated to Gerard Meurant at the occasion of his 70th anniversary International Conference Mathematical Modelling with Applications Mohammed V University, Rabat; Morocco, 1-4, April 2019 Special volume on mathematical modeling with applications, Froilan Dopico, Khalide Jbilou, Mohammed Seaid Some unusual results on extrapolation methods, Claude Brezinski, Michela Redivo-Zaglia The simpler block CMRH method for linear system,s Ilias Abdaoui, Lakhdar Elbouyahyaoui, Mohammed Heyouni Preconditioned Krylov subspace and GMRHSS iteration methods for solving the nonsymmetric saddle point problems, A. Badahmane, A. H. Bentbib, H. Sadok FDEMtools: a MATLAB package for FDEM data inversion, G. P. Deidda, P. Diaz de Alba, C. Fenu, G. Lovicu, G. Rodriguez On the residual norms, the Ritz values and the harmonic Ritz values that can be generated by restarted GMRES, Jurjen Duintjer Tebbens, Gerard Meurant On prescribing the convergence behavior of the conjugate gradient algorithm, Gerard Meurant Simple stopping criteria for the LSQR method applied to discrete ill-posed problems, Lothar Reichel, Hassane Sadok, Wei-Hong Zhang Computation of energy eigenvalues of the anharmonic Coulombic potential with irregular singularities, M. Essaouini, B. Abouzaid, P. Gaudreau, H. Safouhi Krylov subspace projection method for Sylvester tensor equation with low rank right-hand side, A. H. Bentbib, S. El-Halouy, El M. Sadek Mixed finite element methods for the Oseen problem, Mohamed Farhloul On the calculation of the poles of multivariate meromorphic functions using the symbolic-numeric two-point qd-algorithm, A. Elidrissi, J. Abouir, B. Benouahmane Extended nonsymmetric global Lanczos method for matrix function approximation, A. H. Bentbib, M. Ghomari, K. Jbilou Leja, Fejer-Leja and R-Leja sequences for Richardson iteration, Moulay Abdellah Chkifa RMVPIA: a new algorithm for computing the Lagrange multivariate polynomial interpolation, M. Errachid, A. Essanhaji, A. Messaoudi Golub-Kahan bidiagonalization for ill-conditioned tensor equations with applications, Fatemeh P. A. Beik, Khalide Jbilou, Mehdi Najafi-Kalyani, Lothar Reichel Identification of the source function for a seawater intrusion problem in unconfined aquifer, S. Slimani, I. Medarhri, K. Najib, A. Zine A variational method for solving two-dimensional Bratu's problem, A. Kouibia, M. Pasadas, R. Akhrif ------------------------------------------------------- End of Digest **************************