[External Email] Subject: NA Digest, V. 20, # 11 NA Digest Sunday, March 15, 2020 Volume 20 : Issue 11 Today's Editor: Daniel M. Dunlavy Sandia National Labs [log in to unmask] Today's Topics: Free Self-Paced Online Linear Algebra Course INTLAB Version 12 - The Matlab/Octave toolbox for Reliable Computing MFEM Version 4.1 New Book, Foundations of Applied Mathematics, Volume 2 New Book, Simple Random Walks in the Plane Extended Deadline, ICCMAE 2020, USA, May 2020 Swiss Numerics Day 2020, Switzerland, Jun 2020 IMA Mathematics of Robotics, UK, Sep 2020 IEEE High Performance Computing, Data, and Analytics, India, Dec 2020 CFP, Organize 2023 Householder Symposium, 2023 Postdoc Position, Computational Math, Morgan State Univ Postdoc Position, Computational Mathematics, Univ of Houston PhD Position, Numerical Modeling of Fluid-Structure Interaction, NTNU PhD Position, Old Dominion Univ PhD Position, Univ of Manchester Internship Position, Quantum algorithms, Fujitsu Labs of America 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: Pavel Solin [log in to unmask] Date: March 14, 2020 Subject: Free Self-Paced Online Linear Algebra Course If you happen to teach Linear Algebra, and if your school is switching to online instruction, you are very welcome to take advantage of NCLab's free pioneering selfa-paced Linear Algebra course: https://docs.google.com/presentation/d/1as1scdJckv2Mbzw1X1VvqEpdeC94ZYR9smNSXP GyAUE Contact me directly and I'll help you get started. The course is extremely easy to use for both the students and the instructor. Students work at their own pace through tutorials, autograded exercises and quizzes. They love it. For illustration, here is a recent testimonial: Dr Solin, I have a number of things to say about how great an idea this Linear Algebra course has been regarding the use of NCLab. The program is great, continues to get better, and I cannot compliment enough any course that involves students actually working on the problems rather than just listening. I have really enjoyed it so far, and based on my test score this is the most successful I have been in a math course since high school. I would not call other classes I have had difficult but simply unengaging, and this class has turned that around. Please extend my compliments to the NCLab devs if you can, and keep advocating for this type of learning, if at the very least as an option for people like me who learn well this way. Regards, Andrew S. ------------------------------------------------------- From: Siegfried Rump [log in to unmask] Date: March 08, 2020 Subject: INTLAB Version 12 - The Matlab/Octave toolbox for Reliable Computing Version 12 of INTLAB, the Matlab/Octave toolbox for Reliable Computing, is now available at http://www.ti3.tuhh.de/intlab . Given a numerical problem, INTLAB delivers rigorously verified bounds for the solution together with a proof of existence and possibly uniqueness. Correctness includes all procedural, possible discretization and rounding errors as well as I/O. The input data may be afflicted with tolerances. INTLAB comprises of several separate toolboxes including ODEs, nonlinear systems, global optimization, automatic differentiation (gradients, Hessians, Taylor expansion, slopes), affine arithmetic, multivariate polynomials, rigorous standard functions, error-free transformations, floating-point arithmetic in specified precision etc. together with problem solving routines for linear/nonlinear dense/sparse systems, (generalized) eigenvalue problems, integration, range of nonlinear functions etc. Compared to the previous version there are more than half of the INTLAB files have been adapted, changed, and improved, and there are more than 250 new out of 1669 m-files. In particular, the - Taylor model toolbox is extended (thanks to Florian Buenger) to - Lie-derivative method as an alternative to Picard iteration - adjustability of individual maximum degrees of Taylor model variables - identity and curvilinear preconditioning - enhancement and adjustability of blunting for parallelepiped preconditioning (allows verified integration of the asteroid example up to 23 years) - Bernstein polynomials for tighter Taylor model range enclosures (see reference [TG] below) - new toolbox GFP for Galois field computations, - various new verification routines including . all eigenvalues and singular values . null space and range of a matrix . pseudoinverse . sharp range of a nonlinear function - the long toolbox is extended to long matrices - Octave-bug fixed that operator preferences are not respected (thanks to Kai Torben Ohlhus), - Very fast computation of Bernstein coefficients based on [TG] J. Titi, J. Garloff, Matrix methods for the tensorial Bernstein form, Applied Mathematics and Computation 346, p.254-271, 2019. ------------------------------------------------------- From: Tzanio Kolev [log in to unmask] Date: March 11, 2020 Subject: MFEM Version 4.1 Version 4.1 of MFEM, a lightweight, general, scalable C++ library for finite element methods, is now available at: http://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 4.1 are: - New BSD license. - Improved GPU capabilities including support for HIP, libCEED, Umpire, debugging and faster multi-GPU MPI communications. - GPU acceleration in many additional examples, finite element and linear algebra kernels. - Partial assembly and matrix-free algorithm support for DG, H(curl) and many other existing and new integrators. - Support for non-conforming AMR on prisms and tetrahedra. - Mesh optimization algorithms extended to support r-adaptivity. - Complex-valued finite element operators and fields. - ParaView, GSLIB-FindPoints, HiOp and Ginkgo support. - 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, derefenement 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. ------------------------------------------------------- From: Kris ONeill [log in to unmask] Date: March 11, 2020 Subject: New Book, Foundations of Applied Mathematics, Volume 2 Subject: New Book, Foundations of Applied Mathematics, Volume 2: Algorithms, Approximation, Optimization Geared toward advanced undergraduate and beginning graduate students in mathematics, data science, or machine learning, this textbook presents the foundations of algorithms, approximation, and optimization-essential topics in modern applied and computational mathematics. The authors provide a unified treatment of several topics that do not usually appear together, and when used in concert with the free supplemental lab materials, this book teaches not only the theory but also the computational practice of modern mathematical methods. By Jeffrey Humpherys and Tyler J. Jarvis 2020 / xx + 820 pages / Hardcover / 978-1-611976-05-2 / List $94.00 / SIAM Member $65.80 / OT166 Book details: https://my.siam.org/Store/Product/viewproduct/?ProductId=31503574 ------------------------------------------------------- From: Bernard Beauzamy [log in to unmask] Date: March 09, 2020 Subject: New Book, Simple Random Walks in the Plane New book: Simple Random Walks in the Plane, by Bernard Beauzamy ISBN : 979-10-95773-01-6, ISSN : 1767-1175, hard cover, 208 pages. Please see: http://www.scmsa.eu/livres/SCM_SRW_order.htm ------------------------------------------------------- From: Vu Thai Luan [log in to unmask] Date: March 10, 2020 Subject: Extended Deadline, ICCMAE 2020, USA, May 2020 I would like to let you know the following deadlines extensions for the conference ICCMAE 2020 https://www.iccmae2020.math.msstate.edu, May 7-9, MSU: - Abstract Submission: Extended to March 25, 2020 - Travel Support Submission: Extended to March 20, 2020 Proceedings of this conference will be published in a special issue of the Journal of Computational and Applied Mathematics (JCAM). Travel Support: We expect to be able to offer partial travel support to junior participants (graduate students or recent Ph.D.s) who will give a talk in a contributed or mini-symposium session. Plus, the registration fee for graduate students who received the support will be waived. Please click on https://www.iccmae2020.math.msstate.edu/registration for more details. ------------------------------------------------------- From: Thomas P. Wihler [log in to unmask] Date: March 09, 2020 Subject: Swiss Numerics Day 2020, Switzerland, Jun 2020 The Swiss Numerics Day 2020 will be held on: Thursday, June 4, 2020 University of Bern, Switzerland Plenary speakers: - Prof. Paola Antonietti, Politecnico di Milano, Italy - Prof. Soren Bartels, Albert-Ludwigs-Universitat Freiburg, Germany The conference webpage with further information (including deadlines and registration) can found at: https://mathsites.unibe.ch/snd2020/ ------------------------------------------------------- From: Pamela Bye [log in to unmask] Date: March 13, 2020 Subject: IMA Mathematics of Robotics, UK, Sep 2020 2nd IMA Conference on Mathematics of Robotics Manchester Metropolitan University, 9-11 September 2020 https://ima.org.uk/11468/ima-conference-on-mathematics-of-robotics/ The IMA Conference on the Mathematics of Robotics aims to bring together researchers working on all areas of robotics which have a significant Mathematical content. The idea is to highlight the Mathematical depth and sophistication of techniques applicable to Robotics and to foster cooperation between researchers working in different areas of Robotics. This Conference has been organised in cooperation with the Society for Industrial and Applied Mathematics (SIAM). Areas of interest include, but are not limited to: Topology. Kinematics. Algebraic topology of configuration spaces of robot mechanisms. Topological aspects of path planning and sensor networks. Differential topology and singularity theory of robot mechanism and moduli spaces. Algebraic Geometry. Varieties generated by linkages and constraints. Geometry of stiffness and inertia matrices. Rigid-body motions. Computational approaches to algebraic geometry. Dynamical Systems and Control. Dynamics of robots and mechanisms. Simulation of multi-body systems, e.g. swarm robots. Geometric control of robots. Optimal control and other optimisation problems. Combinatorial and Stochastic Methods. Rigidity of structures. Path planning algorithms. Modular robots. Statistics. Stochastic control. Localisation. Navigation with uncertainty. Statistical learning theory. Cognitive Robotics. Mathematical aspects of Artificial Intelligence, Developmental Robotics and other Neuroscience based approaches. Papers will be accepted on the basis of a 300 word abstract which should be submitted by 3 April 2020 via https://my.ima.org.uk/. Authors will be advised of acceptance shortly after and then asked to submit a compulsory full paper of at most 8 pages by 17 April 2020. All contributions will be peer reviewed and acceptance will be based on the results of the review process. If you do not wish to submit an abstract, full papers of at most 8 pages should be submitted by 17 April 2020. All contributions will be peer reviewed and acceptance will be based on the results of the review process. For technical queries please contact Professor W. Holderbaum ([log in to unmask]) ------------------------------------------------------- From: Sanmukh Rao Kuppannagari [log in to unmask] Date: March 11, 2020 Subject: IEEE High Performance Computing, Data, and Analytics, India, Dec 2020 HiPC 2020 CALL FOR PAPERS - 27th IEEE International Conference on High Performance Computing, Data, and Analytics 16--19 December, 2020 in Pune India HiPC 2020 will be the 27th edition of the IEEE International Conference on High Performance Computing, Data, Analytics and Data Science. HiPC serves as a forum to present current work by researchers from around the world as well as highlight activities in Asia in the areas of high performance computing and data science. The meeting focuses on all aspects of high performance computing systems, and data science and analytics, and their scientific, engineering, and commercial applications. Authors are invited to submit original unpublished research manuscripts that demonstrate current research in all areas of high performance computing, and data science and analytics, covering all traditional areas and emerging topics including from machine learning, big data analytics and blockchain. Each submission should be submitted to one of the tracks listed under the two broad themes of High Performance Computing and Data Science. Abstract Submissions : June 8, 2020 Paper Submissions : June 15, 2020 Submit your paper: https://easychair.org/conferences/?conf=hipc2020 ------------------------------------------------------- From: Heike Fassbender [log in to unmask] Date: March 15, 2020 Subject: CFP, Organize 2023 Householder Symposium, 2023 The Householder Committee seeks a team to organize the 2023 Householder Symposium on Numerical Linear Algebra. The deadline for submitting a proposal is 1 April 2020. Guidelines for preparing a proposal and a link for uploding the proposal can be found at: https://users.ba.cnr.it//iac/irmanm21/HHXXI/Application_HH_symposium.html Additional questions can be sent to: Heike Fassbender ([log in to unmask]) Chair, Householder Committee Please note: Proposals by professional congress and convention bureaus will not be considered. No contact information about local members of our community will be provided. ------------------------------------------------------- From: Mingchao Cai [log in to unmask] Date: March 13, 2020 Subject: Postdoc Position, Computational Math, Morgan State Univ A postdoctoral position in the area of numerical analysis, scientific computation, and PDE analysis is available in the research group of Professor Mingchao Cai in the Department of Mathematics at Morgan State University. The position involves Finite element methods and numerical analysis for problems arising from fluid mechanics and structural mechanics. Candidates should have a Ph.D degree in Computational Mathematics or in Engineering with a background in Finite Element methods, high-performance computing, fluid mechanics, and/or structural mechanics. Candidates who have a strong background in PDE analysis (for example, asymptotic analysis, homogenization, analysis of fluid mechanical problems) are also very welcome. The candidate will also be required to teach one math course per semester. The benefit includes regular salary (very competitive) plus insurance for your whole family members ($1,000/m charged by Morgan State University). The regular salary part is negotiable based on the expertise of the candidates. Postdoctoral appointments are full-time training programs of advanced academic preparation and research training under the mentorship of a faculty member. Basic Qualifications: PhD Degree in Mathematics, Scientific Computing, Numerical Analysis, PDE analysis, Computational Mechanical Engineering or a related discipline at the time of application. 1-2 years of research experience or training related to mathematics and scientific computation. Preferred Qualifications: Prior experience would be viewed especially favorably in the areas of large-scale scientific computation, numerical analysis, CFD and elasticity, and/or mechanical engineering, but are not strictly required. The individual would like to interact with the faculty members and the students in the department The initial appointment will be for two (2) year appointment, although the contract is going to be initialized as 1 year. Please send an email to Dr. Mingchao Cai: [log in to unmask] directly then apply to the HR website by April 20, 2020 for primary consideration. The position will remain open until filled. The anticipated start date is Aug. 1/Sept. 1, 2020. Curriculum vitae, cover letter, statement of research and 2 letters of reference are required for a completed application. The Department is especially interested in candidates who can contribute to the diversity and excellence of the academic community through research, teaching, and service. Morgan State University is an Equal Opportunity/Affirmative Action Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. This employer is not accepting applications for this position through Mathjobs.Org. Please send an email and then apply it on the website of HR at Morgan State University. ------------------------------------------------------- From: Loic Cappanera [log in to unmask] Date: March 11, 2020 Subject: Postdoc Position, Computational Mathematics, Univ of Houston The Department of Mathematics at the University of Houston invites applications for a research associate (postdoc) position in computational mathematics. The position is for 2 years and may involve teaching of up to one course per semester. We are especially interested in candidates that have a strong track record in Scientific Computing with experience in one or more of the following fields: numerical analysis, finite element method, parallel computing, fluid dynamics, thermodynamics and/or magnetohydrodynamics. Please follow the link below to see more detail and apply to the position: https://www.mathjobs.org/jobs/jobs/15344 Review of applications will begin immediately and will continue until the position is filled. Inquiries about the position may be directed to Loic Cappanera ([log in to unmask]). ------------------------------------------------------- From: Bernhard Müller [log in to unmask] Date: March 10, 2020 Subject: PhD Position, Numerical Modeling of Fluid-Structure Interaction, NTNU At the Norwegian University of Science and Technology (NTNU), we have a vacancy for a PhD candidate at the Department of Energy and Process Engineering. In the PhD project "Numerical Modeling of Fluid-Structure Interaction," the PhD candidate will develop, implement and apply numerical models for simulating fluid-structure interaction (FSI) in the upper airways of obstructive sleep apnea (OSA) patients to predict the outcome of surgery to cure OSA. Details about the position, duties, selection criteria, salary and conditions, application via https://www.jobbnorge.no/search/en, and general information are available at the official job advertisement https://www.jobbnorge.no/en/available-jobs/job/184493/phd-position-in- numerical-modeling-of-fluid-structure-interaction. The application deadline is March 30, 2020. ------------------------------------------------------- From: Nail Yamaleev [log in to unmask] Date: March 14, 2020 Subject: PhD Position, Old Dominion Univ Applications are invited for a PhD student position 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 spectral collocation 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, excellent programming skills (Fortran 90 or C++), and effective communication skills (written/spoken English) are required. 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: Kody Law [log in to unmask] Date: March 11, 2020 Subject: PhD Position, Univ of Manchester CFD and inverse UQ for investigation of drop/bubble dynamics Applications are invited for a PhD position in the Department of Mathematics at University of Manchester funded by EPSRC Industrial CASE and IBM Research UK. The academic supervisors will be Prof. Kody Law ([log in to unmask]) and Dr. Alice Thompson ([log in to unmask]), and the industrial supervisor will be Dr. Carlos Pena-Monferrer ([log in to unmask]). The focus of the project is the investigation of specific two-phase flow problems such as the ones encountered in 3D printing, water treatment or chemical mixing. A range of forward models are available, from very detailed direct numerical simulations to various reduced physics models. The aim of this investigation is to provide data-driven and data assimilation inference tools for these complex processes, for example for offline calibration, surrogate modelling, and real time feedback control. This PhD studentship offers an opportunity to apply the scientific method on real-life problems combining CFD physical modelling, mathematical and statistical modelling, and AI. The successful candidate will also interact with the latest hardware and software stacks in HPC and acquire highly desirable transferrable skills in scientific software quality, reproducible research, and related productivity tools. The offer also includes a minimum stay of three months at IBM Research UK within the Hartree Center in Daresbury. Interested candidates should email all 3 supervisors with CV, cover letter, transcripts, and contact details for at least 2 referees. ------------------------------------------------------- From: Savagya Upadhyay [log in to unmask] Date: March 10, 2020 Subject: Internship Position, Quantum algorithms, Fujitsu Labs of America Fujitsu Laboratories of America (FLA) has an internship opportunity for a graduate student interested in quantum information processing. The research will focus on quantum algorithms that are potentially implementable of noisy intermediate scale quantum (NISQ) devices. FLA serves as the US based research arm of Fujitsu, the global information and communications technologies leader headquartered in Japan. A qualified candidate should have i) Research interest and experience in quantum computing, specially in quantum algorithms ii) Background in linear algebra, machine learning, and probability theory iii) Strong programming skills iv) Demonstrated ability to publish research papers in peer-reviewed conference proceedings and/ or journals v) Ability to work creatively and quickly Students pursuing Masters and PhD programs with relevant coursework or research experience are invited to apply. Successful candidate is expected to have exceptional communication skills, work independently as well as a part of a team, and grasp information outside her/ his research expertise when required. If this sounds like something you'd be interested at, please send a recent CV to [log in to unmask] ------------------------------------------------------- End of Digest **************************