[External Email] Subject: NA Digest, V. 20, # 42 NA Digest Tuesday, November 03, 2020 Volume 20 : Issue 42 Today's Editor: Daniel M. Dunlavy Sandia National Labs [log in to unmask] Today's Topics: Charles Broyden Prize Call for 8th BGCE Student Paper Prize MFEM Version 4.2 New Book, Krylov Methods for Nonsymmetric Linear Systems Exascale continuum mechanics software, ONLINE, Nov 2020 SIAM CSE21, Travel Awards/Caregiving Support, ONLINE, Mar 2021 Faculty Position, Scientific Computing, Univ of Alabama Professor Position, Optimization, MLU Halle-Wittenberg Postdoc Position, Computational Science, Univ of Minnesota Postdoc Position, Krylov Methods, Charles Univ, Czech Rep Postdoc Position, Math Bio/Data Science, Univ of Kentucky Special Issue, UQ and Scientific Machine Learning Contents, Applied and Computational Mathematics, 19 (2) Contents, Electron. Trans. Numer. Anal. (ETNA), 52 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: Oleg Burdakov [log in to unmask] Date: October 28, 2020 Subject: Charles Broyden Prize The Charles Broyden prize for the best paper published in Optimization Methods and Software (OMS) in 2019 was awarded to: "Quasi-Newton methods: superlinear convergence without line searches for self-concordant functions" by Wenbo Gao & Donald Goldfarb OMS (2019), Volume 34, Issue 1, pp. 194-217. It is in free access till the end of 2020: https://doi.org/10.1080/10556788.2018.1510927 The award was established by the OMS Editorial Board and Taylor & Francis in 2009, with a cash prize of 500 GBP. http://explore.tandfonline.com/page/est/charles-broyden-prize The Broyden Prize Committee: Mihai Anitescu, Xiaojun Chen (Committee Chair), Karl Kunisch, Tamas Terlaky and Stefan Ulbrich. ------------------------------------------------------- From: Tobias Neckel [log in to unmask] Date: October 29, 2020 Subject: Call for 8th BGCE Student Paper Prize The 8th BGCE Student Paper Prize will be awarded at the 2021 SIAM CS&E Conference, March 1-5, for outstanding student work in the field of Computational Science and Engineering. Founder of the prize is the Bavarian Graduate School of Computational Engineering (BGCE, http://www.bgce.de/ ). The prize winner will be invited to spend one week in Bavaria, Germany, visiting BGCE sites in Erlangen and Munich. The main objective is to promote excellent students in CS&E and to foster international exchange at an early career stage. Eligible for the prize will be undergraduate and graduate students prior to receiving their PhD (at date of submission). Candidates are required to summarize their work in a short 4-page paper. The prize finalists will be asked to present their work at SIAM CS&E 2021 at a special "CS&E Student Prize Minisymposium". The papers and talks will be evaluated by an international prize committee. Excluded from the competition are only students from our own universities, FAU and TUM. Deadline for submissions to the BGCE Student Paper Prize is December 6, 2020. Submissions should be sent in pdf format via email to [log in to unmask] Since we are interested in a broad and high-level competition, as in 2007, 2009, 2011, 2013, 2015, 2017 and 2019, we ask you to encourage suitable candidates to submit a paper and to support their participation in SIAM CS&E 2021. Please see https://www.bgce.de/news/8th-bgce-student-paper-prize/ for further details. Hans-Joachim Bungartz, Dietmar Fey, Alexander Ditter, Ivana Jovanovic and Tobias Neckel for BGCE ------------------------------------------------------- From: Tzanio Kolev [log in to unmask] Date: November 02, 2020 Subject: MFEM Version 4.2 Version 4.2 of MFEM, a lightweight, general, scalable C++ library for finite element methods, is now available at: https://mfem.org The goal of MFEM is to enable high-performance scalable finite element discretization research and application development on a wide variety of platforms, ranging from laptops to exascale supercomputers. Some of the new additions in version 4.2 are: - Extended partial assembly algorithms and device support, including specific improvements for HIP and CUDA. - AMG preconditioning on GPUs via NVIDIA's AmgX. - Element-level and full sparse matrix assembly on GPUs. - Support for explicit vectorization on Intel and IBM platforms. - Improved mesh optimization and discretization algorithms. - Support for matrix-free geometric h- and p-multigrid. - New integrations with CVODES, MKL CPardiso, SLEPc and ADIOS2. - libCEED, FindPoints, KINSOL, Gmsh, Gecko, ParaView improvements. - 18 new examples and miniapps. The MFEM library has many more features, including: - 2D and 3D, arbitrary order H1, H(curl), H(div), L2, NURBS elements. - Parallel version scalable to hundreds of thousands of MPI cores. - Conforming/nonconforming adaptive mesh refinement (AMR), including anisotropic refinement, derefinement and parallel load balancing. - Galerkin, mixed, isogeometric, discontinuous Galerkin, hybridized, and DPG discretizations. - Support for triangular, quadrilateral, tetrahedral and hexahedral elements, including arbitrary order curvilinear meshes. - Scalable algebraic multigrid, time integrators, and eigensolvers. - Lightweight interactive OpenGL visualization with the MFEM-based GLVis tool. MFEM is being developed in CASC, LLNL and is freely available under a BSD license. For more details, see the interactive documentation and the full CHANGELOG at https://github.com/mfem/mfem. ------------------------------------------------------- From: Jurjen Duintjer Tebbens [log in to unmask] Date: November 02, 2020 Subject: New Book, Krylov Methods for Nonsymmetric Linear Systems Krylov methods for nonsymmetric linear systems - From theory to computations, by Gerard Meurant and Jurjen Duintjer Tebbens, Springer Series in Computational Mathematics, volume 57, October 2020. ISBN 978-3-030-55250-3, 686 pages, https://doi.org/10.1007/978-3-030-55251-0. This book gives an overview of the state-of-the-art of Krylov subspace iterative methods for solving nonsymmetric systems of algebraic linear equations. The mathematical properties of the methods are described and analyzed including convergence results, along with their behavior in finite precision arithmetic. A number of numerical examples demonstrate the properties and the behavior of the described methods. Also considered are the methods' implementations and coding as Matlab-like functions. Methods which became popular recently are considered in the general framework of Q-OR (quasi-orthogonal )/Q-MR (quasi-minimum) residual methods. This book can be useful both for practitioners and for readers who are more interested in theory. It presents a number of recent theoretical results of the authors, some of them unpublished, as well as a few original algorithms. Some of the derived formulas might be useful for the design of possible new methods or for future analysis. For the Table of Contents, please see https://gerard-meurant.pagesperso-orange.fr/ ------------------------------------------------------- From: David Ham [log in to unmask] Date: November 02, 2020 Subject: Exascale continuum mechanics software, ONLINE, Nov 2020 Online, 24-25 November. Register at: https://excalibur-genx.github.io/community-workshop/ United Kingdom Research and Innovation will be investing 45m GBP in exascale software over the coming years. They have commissioned 10 working groups to formulate plans for significant software investment over the coming 4 years. This workshop is an opportunity for users and developers of simulation software to have input into these plans. The GenX working group specialises in fluid and solid mechanics software, for applications across science and industry. This interactive workshop will answer these key questions: - What new science and engineering could exascale continuum mechanics simulation deliver? - What component processes do each science or engineering application depend on? - What needs to change in each component process to make exascale simulation a reality? This workshop is centred around your input. There will be no lectures, but a kick-off panel discussion and then a series of moderated interactive workshop sessions to draw on community expertise in helping answer these questions. ------------------------------------------------------- From: Stefan Wild [log in to unmask] Date: October 31, 2020 Subject: SIAM CSE21, Travel Awards/Caregiving Support, ONLINE, Mar 2021 The SIAM Conference on Computational Science and Engineering (CSE21) has pivoted to a virtual format. We encourage you to still apply for a student or early career travel award for CSE21. If you are selected to receive an award, registration fees for the conference will be waived and you will be registered automatically by our office. Please do not make travel arrangements for this conference. Apply by Tuesday, December 1, 2020, 11:59pm US ET at https://awards.siam.org/ Support to offset conference-related caregiving costs are also available. See https://www.siam.org/conferences/cm/lodging-and-support/child-care-support/cse21- child-care and apply by January 4, 2021. If you have any questions, please write to [log in to unmask] ------------------------------------------------------- From: Shan Zhao [log in to unmask] Date: October 27, 2020 Subject: Faculty Position, Scientific Computing, Univ of Alabama The Department of Mathematics at The University of Alabama invites applications for one tenure-track position at the Assistant Professor level in scientific computing, beginning on August 16, 2021. The department is seeking applicants in the areas of numerical PDEs and computational modeling. Research of ideal candidates should have specific applications in a field of natural science or engineering, which may involve, but not limited to, machine learning or uncertainty quantification. Candidates must possess a doctoral degree in mathematics or a very closely related field by August 16, 2021. Applicants are expected to show solid evidence of research productivity beyond the doctoral dissertation. Applicants should complete the online application at https://facultyjobs.ua.edu/postings/47548. The application should include a letter of application, a current curriculum vita, a research statement, and a teaching statement. Separately, three letters of recommendation (one of which concerns teaching) should be submitted electronically through MathJobs (www.mathjobs.org) or should be sent electronically to: [log in to unmask] (No other application materials should be submitted to MathJobs). Applications will be reviewed on an ongoing basis starting December 1 and will continue until the position is filled. We plan to conduct interviews remotely to limit travel. The University of Alabama is an Equal Opportunity/Affirmative Action employer and actively seeks diversity among its employees. Women, Hispanic, African-American and other minority candidates are strongly encouraged to apply and self-identify. ------------------------------------------------------- From: Raphael Kruse [log in to unmask] Date: October 28, 2020 Subject: Professor Position, Optimization, MLU Halle-Wittenberg We have an opening for a professorship (level W2) at Martin-Luther-Universitat Halle-Wittenberg in the general area of optimization, in particular, with a link to mathematical modelling, analysis and simulation of complex deterministic or stochastic systems. Applications from candidates with an (additional) background in numerical analysis and/or probability are very welcome. For the full advertisement see German version: https://www.academics.de/stellenanzeigen/position-professor/TA==?q=Optimierung English version: https://www.nature.com/naturecareers/job/tenured-professorship-in-optimization-martin- luther-university-of-hallewittenberg-mlu-731498 ------------------------------------------------------- From: Douglas Arnold [log in to unmask] Date: October 29, 2020 Subject: Postdoc Position, Computational Science, Univ of Minnesota The School of Mathematics at the University of Minnesota invites applications for a post-doctoral position in computational science and mathematics under the supervision of Douglas Arnold beginning Fall 2021 or earlier. The position is supported by the Simons Collaboration on Localization of Waves and will center on the research projects of the Collaboration. We seek a candidate with strong background in the numerical solution of partial differential equations and eigenvalue problems. Strength in both implementation and analysis are required. Prior experience with eigenvalue problems, wave propagation, and/or quantum physics is desirable. The salary will be commensurate with qualifications and experience. The preferred start date is no later than the start of the Fall semester of 2021 and could be sooner. The duration is two years, with a possibility of extending to the third year depending on funding and performance. Applications will be reviewed starting December 1, 2020 and will continue until the position is filled. Please contact Douglas Arnold ([log in to unmask]) with any additional inquiries about the position. Applicants should submit an AMS cover sheet, complete curriculum vitae, a description of their research and teaching, and at least three letters of recommendation at the Mathjobs website https://www.mathjobs.org/jobs/list/16621. A cover letter relating the applicant's research goals and qualifications to the projects would enhance the application. The University of Minnesota is an Equal Opportunity Educator and Employer. ------------------------------------------------------- From: Stefano Pozza [log in to unmask] Date: October 29, 2020 Subject: Postdoc Position, Krylov Methods, Charles Univ, Czech Rep Postdoc Position, Krylov methods and ODE approximation, Charles Univ, Czech Rep A postdoc position is available within the framework of the Primus Research Programme "A Lanczos-like Method for the Time-Ordered Exponential" at the Faculty of Mathematics and Physics, Charles University, Prague. The appointment period is two years, with the possibility of extension. The anticipated start date is January 2021, although this is negotiable. We are looking for candidates with a strong background in numerical linear algebra. In particular, we seek applicants with expertise in matrix function approximation, Krylov subspace methods, and finite precision analysis. The applicant must hold a Ph.D. degree by the start date. Application deadline: November 9, 2020. More information and application instructions: https://www.starlanczos.cz/open-positions ------------------------------------------------------- From: Duc Nguyen [log in to unmask] Date: October 31, 2020 Subject: Postdoc Position, Math Bio/Data Science, Univ of Kentucky Applications are invited for a Postdoctoral Scholar position in the Department of Mathematics at the University of Kentucky in Lexington, Kentucky beginning in Fall 2021. The successful candidate is expected to conduct research in machine learning/deep learning with an emphasis on drug design and discovery associated with Prof. Duc Nguyen's research group. The teaching expectation is three courses per academic year, normally two courses during one semester and one course the other semester. The initial appointment will be for one year and is expected to be renewed for a total of three years, subject to satisfactory performance. An ideal candidate should have a strong experience with recent computational learning technologies such as Pytorch or TensorFlow, excellent knowledge of High Performance Computing, and a solid background in mathematics. Applicants must have a Ph.D. degree in mathematics or closely related fields by the time the appointment begins and are expected to present evidence of excellence in research and teaching. In order to be considered a candidate, submit your job market materials to https://www.mathjobs.org/jobs/list/16642. These materials should include: the standard AMS Cover Sheet for Academic Employment, a curriculum vitae, a statement about current and future research, a statement on teaching experience and quantitative assessments of teaching, a statement on inclusion, diversity, and equity (described below), and at least three (3) letters of reference addressing the applicant's research and one (1) letter of reference addressing the applicant's teaching. Applications will be reviewed as they are received. Applications submitted by December 4, 2020 will receive full consideration. ------------------------------------------------------- From: Marta D'Elia [log in to unmask] Date: October 29, 2020 Subject: Special Issue, Uncertainty Quantification and Scientific Machine Learning We would like to draw your attention to a special issue on Uncertainty Quantification and Scientific Machine Learning: https://www.mdpi.com/journal/mca/special_issues/ML_UQ Uncertainty quantification and scientific machine learning can be essentially motivated by a range of vital applications, such as life-threatening events (e.g., pandemics, disease propagation, global warming, wildfires, hurricanes, in addition to limited water and food resources) and medical applications (e.g., cancer growth, digital surgery, precision medicine, informed medical decision making, tissue synthesis/engineering), and, more in general, in engineering applications such as plasma physics, subsurface transport, turbulence, additive manufacturing for complex multiscale materials, aging electrical systems and power grids, failure processes in mechanical structures, and more. The main challenges in such applications include (but are not limited to): ill-posedness, necessary-to-sufficient training data/cost, lack of rigorous mathematical theories for learning paradigms, lack of a priori estimates for predictability, curse of dimensionality, noisy/gappy/sparse data, large and multimodal/physics/scale data, model form learning, overfitting/underfitting, lack of fidelity and generalization of surrogate models, long-time integration/learning, reliable data assimilation, and model calibration away from the proximity of observables. This Special Issue welcomes the submission of creative manuscripts that address the aforementioned challenges either theoretically or computationally in a novel fashion in the context of stochastic integer-to-fractional differential equations in addition to uncertain local-to-nonlocal mathematical models with the ultimate purpose of developing the new generation of AI-enabled science and engineering. ------------------------------------------------------- From: Fikret Aliev [log in to unmask] Date: October 30, 2020 Subject: Contents, Applied and Computational Mathematics, 19 (2) Applied and Computational Mathematics an International Journal, http://www.acmij.az Vol.19, No.2, October 2020 CONTENTS Stopping Criteria Based on the Reciprocity Gap Concept for Data Boundary Recovering, B. Achchab, A. Ben Abda, A. Sakat A Novel Deep Learning Based Architecture for Facial Gesture Analysis, Busra Emek Soylu, Mehmet Serdar Guzel, I.N. Askerzade Numerical Solution for Diffusion Equations with Distributed-Order in Time Based on Sinc-Legendre Collocation Method, Nasrin Moshtaghi and Abbas Saadatmandi Dynamics Analysis of an Impulsive Stochastic Model for Spruce Budworm Growth, Weiming Ji, Hui Wang, Meng Liu Complete Dynamics in a Nonlocal Dispersal Two-Strain SIV Epidemic Model with Vaccinations and Latent Delays, W. Chen, W.X. Wu, Z.D. Teng 6th Order Runge-Kutta Pairs For Scalar Autonomous IVP, T.E. Simos, Ch. Tsitouras Gruss Type Inequalities for Fractional Integral Operator Involving the Extended Generalized Mittag-Leffler Function, Erhan Set, Ahmet Ocak Akdemir, Filiz Ozata Algorithm for Solving the Identification Problem for Determining the Fractional-Order Derivative of an Oscillatory System, Aliev Fikret A., Aliev N.A., Mutallimov M.M., Namazov A.A. Final Report on COIA 2020, F.A. Aliev, T. Basar, A.H. Hajiyev, V.B. Larin, N.I. Mahmudov, N.A. Safarova ------------------------------------------------------- From: Lothar Reichel [log in to unmask] Date: October 31, 2020 Subject: Contents, Electron. Trans. Numer. Anal. (ETNA), 52 C. Xenophontos and I. Sykopetritou, Isogeometric analysis for singularly perturbed problems in 1-D: error estimates A. Archid, A. H. Bentbib, and S. Agoujil, A block J-Lanczos method for Hamiltonian matrices A. Klawonn, M. Kuhn, and O. Rheinbach, Coarse spaces for FETI-DP and BDDC methods for heterogeneous problems: Connections of deflation and a generalized transformation-of-basis approach H. Leszczynski, M. Matusik, and M. Wrzosek, Leap-frog method for stochastic functional wave equations C. Ferreira, J. L. Lopez, and E. P. Sinusia, The swallowtail integral in the highly oscillatory region II Z. Lu, F. Huang, L. Li, X. Zuo, and J. Li, An empirical study of transboundary air pollution of the Beijing-Tianjin region J. Zhai, Z. Zhang, and T. Wang, Fractional Hermite interpolation for non-smooth functions V. Kalantzis, A spectral Newton-Schur algorithm for the solution of symmetric generalized eigenvalue problems O. Steinbach and M. Zank, Coercive space-time finite element methods for initial boundary value problems M. Bello-Hernandez, Incomplete beta polynomials J. Li, T. Wang, and Y. Hao, The series expansions and Gauss-Legendre rule for computing arbitrary derivatives of the Beta-type functions S. W. Fung, S. Tyrvainen, L. Ruthotto, and E. Haber, ADMM-Softmax: an ADMM approach for multinomial logistic regression R. Acevedo, E. Alvarez, and P. Navia, A boundary and finite element coupling for a magnetically nonlinear eddy current problem N. Derevianko and J. Prestin, Approximation of Gaussians by spherical Gauss-Laguerre basis in the weighted Hilbert space A. Gil, J. Segura, and N. M. Temme, Asymptotic inversion of the binomial and negative binomial cumulative distribution functions A. Linke, C. Merdon, and M. Neilan, Pressure-robustness in quasi-optimal a priori estimates for the Stokes problem S. H. Lui and S. Nataj, Chebyshev spectral collocation in space and time for the heat equation R. M. Asharabi and F. M. Al-Abbas, Error analysis for regularized multidimensional sampling expansions Y. Coudiere, C. D. Lontsi, and C. Pierre, Rush-Larsen time-stepping methods of high order for stiff problems in cardiac electrophysiology S. M. Rump, On recurrences converging to the wrong limit in finite precision and some new examples Sk. S. Ahmad and P. Kanhya, Perturbation analysis on matrix pencils for two specified eigenpairs of a semisimple eigenvalue with multiplicity two C.-H. Cho and H. Okamoto, Finite difference schemes for an axisymmetric nonlinear heat equation with blow-up K. Nedaiasl, Approximation of weakly singular integral equations by sinc projection methods A. Koskela and H. Mena, Analysis of Krylov subspace approximation to large-scale differential Riccati equations T. P. Barrios and R. Bustinza, An a-priori error analysis for discontinuous Lagrangian finite elements applied to nonconforming dual-mixed formulations: Poisson and Stokes problems D. Camps, T. Mach, R. Vandebril, and D. S. Watkins, On pole-swapping algorithms for the eigenvalue problem S. Mazurenko, J. Jauhiainen, and T. Valkonen, Primal-dual block-proximal splitting for a class of non-convex problems X. Tu, B. Wang, and J. Zhang, Analysis of BDDC algorithms for Stokes problems with hybridizable discontinuous Galerkin discretizations S. M. Rump, Addendum to "On recurrences converging to the wrong limit in finite precision and some new examples" L. Shangerganesh and J. Manimaran, Mathematical and numerical analysis of an acid-mediated cancer invasion model with nonlinear diffusion ------------------------------------------------------- End of Digest **************************