[External Email] Subject: NA Digest, V. 20, # 31 NA Digest Sunday, August 16, 2020 Volume 20 : Issue 31 Today's Editor: Daniel M. Dunlavy Sandia National Labs [log in to unmask] Today's Topics: Release 1.2.0.9, librsb, Sparse BLAS Software Library SN Partial Differential Equations and Applications, ONLINE, Aug 2020 Communications in NLA Seminar Series, ONLINE, Sep 2020 Linear Algebraist Position, Ansys, Livermore, CA Postdoc Position, Analysis and numerical solution of PDEs Postdoc Position, Isogeometric Reduced Order Methods, EPFL Postdoc Position, NA and Scientific Computing, SISSA, Italy Postdoc Position, Uncertainty Quantification, Univ of Liverpool Contents, Numerical Algorithms, 85 (1) 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: Michele Martone [log in to unmask] Date: August 12, 2020 Subject: Release 1.2.0.9, librsb, Sparse BLAS Software Library Version 1.2.0.9 of the "librsb" library for high performance sparse matrix computations based on the "Recursive Sparse Blocks" (RSB) format is out and available for download. librsb is mainly for iterative methods implementors; it features cache efficient, multithreaded sparse matrix-vector multiplication, and it is especially fast in the symmetric and transposed variants. Many options and further matrix operations are available. Both Sparse BLAS and the own interfaces are supported (C/C++, Fortran). You can also use librsb transparently in a Matlab-style fashion via the GNU Octave `sparsersb` package and command. This is a bugfixes release; see detailed changes in the NEWS file. The source code of librsb is LGPLv3 licensed. Website for librsb and sparsersb: http://librsb.sf.net/ ------------------------------------------------------- From: Jan Holland [log in to unmask] Date: August 14, 2020 Subject: SN Partial Differential Equations and Applications, ONLINE, Aug 2020 We're excited to launch the "SN Partial Differential Equations and Applications" Webinar on August 24! With this Webinar, our goal is to contribute an initiative to foster the communication of PDE- related research during these trying times. Just as the journal of the same name, the SN PDEA Webinar is aiming to bridge the areas of Mathematical Analysis, Computational Mathematics and applications of Mathematics in the Sciences. The first presentation will be given by this year's Felix Klein Prize winner, Arnulf Jentzen, on applications of Deep Learning methods to the solution of PDEs. Future speakers include Julio Rossi, Thomas Bartsch, Weinan E, and Claudio Munoz. Starting on August 24, Webinars will take place on Mondays on a weekly basis at 9am EST, 3pm CET. They will be held via Zoom and will be free to attend. Registration for the first presentation is now open at https://zoom.us/meeting/register/tJ0uf-iopzkvGdJJpq42h5f7wOqUcKtCc7y7 More information and updates on the Webinar can be found at https://www.springer.com/journal/42985/updates/18235540 . ------------------------------------------------------- From: Communications in NLA [log in to unmask] Date: August 11, 2020 Subject: Communications in NLA Seminar Series, ONLINE, Sep 2020 A new online seminar series on Numerical Linear Algebra, entitled "Communications in NLA", will take place every Monday at 15:00 CEST, starting from September 7, 2020. Each session will consist of 2-3 talks on different topics in Numerical Linear Algebra and will be broadcast live via Zoom and YouTube. Special emphasis will be on giving early career researchers the opportunity to present their work, and we are very pleased to announce the 2020 Householder Prize winners, Estelle Massart (University of Oxford) and Stefano Massei (Eindhoven University of Technology) as the speakers of our first session. Each session will also feature an extended discussion session organized on Gather. If you want to register as a listener or apply as a speaker, please visit our website https://sites.google.com/view/commnla/home . We are looking forward to welcoming you at our seminar! ------------------------------------------------------- From: Aubrey Allen [log in to unmask] Date: August 10, 2020 Subject: Linear Algebraist Position, Ansys, Livermore, CA Ansys is the global leader in engineering simulation, helping the world's most innovative companies deliver radically better products to their customers. ANSYS LST is searching for a qualified candidate to join their team of Linear Algebraists. This team works to solve linear algebra problems arising in a broad spectrum of application problems involving direct and iterative solution of linear systems for sparse and dense problems and associated eigenvalue problems. The R&D Engineer (II) works most directly with LS-Dyna and MAPDL products, but may also branch out into other applications in the Mechanical and Electronic business units. A successful candidate needs to have demonstrated the ability to work in a variety of linear algebra areas and will be expected to communicate with the application specialists often. Minimum Qualifications: - Masters degree in Linear Algebra with 5 or more years of experience - Excellent communication skills so as to communicate with a geographically dispersed team - Experience applying linear algebra technology to engineering application problems - Demonstrated skills to use existing linear algebra software tools and the ability to enhance those tools - Software skills in Fortran and/or C to develop new tools as required especially in the distributed memory parallel computing environment Preferred Qualifications: PhD specializing in Linear Algebra and 3 years or more of experience Please apply here: https://careers.ansys.com/job/Livermore-R&D-Engineer-II-CA-94551/664060000/ ------------------------------------------------------- From: Buyang Li [log in to unmask] Date: August 13, 2020 Subject: Postdoc Position, Analysis and numerical solution of PDEs A postdoc position is available at Department of Applied Mathematics, The Hong Kong Polytechnic University. The appointment period can be one or two years, with the possibility of extension. The start date is negotiable. The applicant must hold a PhD degree by the start date. We are looking for candidates with a strong background in theoretical analysis or numerical analysis of PDEs. Applicants who have worked on one of the following topics are welcome to apply: 1. Well-posedness and regularity analysis of time-dependent nonlinear PDEs (such as Navier-Stokes equations, nonlinear Schrodinger equation, nonlinear wave equation, shallow or deep water equations, and so on). 2. Numerical analysis for time-dependent nonlinear PDEs; 3. Surface PDEs, surface evolution, curvature flow, evolution of free boundary, evolution of interface between two phases, or related topics; To apply, send a CV to Dr. Buyang Li via email: [log in to unmask] The CV should contain a publication list and the names of two references. ------------------------------------------------------- From: Pablo Antolin [log in to unmask] Date: August 12, 2020 Subject: Postdoc Position, Isogeometric Reduced Order Methods, EPFL In the framework of an exciting industrial grant between the Chair of Numerical Modelling and Simulation (MNS) at EPFL (Switzerland), led by Annalisa Buffa, and the company Akselos, we are looking for a postdoctoral computational scientist/applied mathematician to work at EPFL on R&D problems that are relevant to Akselos customers. Akselos is an MIT spin-off that is providing a revolutionary new reduced order modeling approach for large-scale engineering simulations. Akselos has five main offices around the world with headquarters located on the EPFL campus. Job description: The component-based reduced basis technology combines the strengths of domain decomposition and model reduction techniques in order to reach unprecedented simulation speed (around 1000 times faster than traditional finite element methods). The successful candidate will join a 2 year project focused on extending the current technology in the context of IsoGeometric Analysis applied to large-scale wind turbine applications. The prospective Postdoc should have: a PhD degree from a recognised university either in mathematics, mechanical engineering or related disciplines; a strong background in scientific computing with C++. Experience with open source C++ FEA or CFD libraries is a plus (e.g. libMesh, Deal.II, DUNE, OpenFOAM, PETSc, etc) will be a plus; creativity and motivation for addressing computational mechanics problems; excellent English language skills; and experience with IsoGeometric Analysis and/or model reduction techniques are a plus. We offer: a one year contract, with possible extension to a second year; a young and dynamic work environment at one of the top universities in Europe and of a fast developing company; and a very competitive salary. Information & contact: The position is open starting anytime after November 1st, and applications are welcome until the position will be filled. To submit your application, please write to [log in to unmask] and [log in to unmask] sending your CV, your relevant publications, your graduate transcript(s), a letter of motivation, and two names for references. ------------------------------------------------------- From: Gianluigi Rozza [log in to unmask] Date: August 15, 2020 Subject: Postdoc Position, NA and Scientific Computing, SISSA, Italy One new open position as research associate at SISSA, International School for Advanced Studies, Mathematics Area, mathLab, Trieste, Italy (mathlab.sissa.it) is available with deadline on September 11, 2020 by 1PM (Rome time): info to apply: https://www.sissa.it/bandi/selezione-pubblica-titoli-conferimento-di-n-1-assegno-di- ricerca-area-matematica-ref-prof-6 The position is in the framework of European Research Council H2020 Project AROMA-CFD: Advanced Reduced Order Methods with Applications in Computational Fluid Dynamics, GA 681447, PI Prof. Gianluigi Rozza (people.sissa.it/grozza). Topics at large: computational fluid dynamics, fluid-structure interactions, multi-physics, optimisation, control, reduced order methods, data assimilation, uncertainty quantification, computational mechanics, scientific computing, programming, offline-online computing, automatic learning, with a special focus on the creation of new computing technologies. Competences: scientific computing and programming, numerical analysis, CFD; Further appreciated competences: data science, computer science, HPC, automatic learning. First availability to start: ASAP Duration: one year (extension is possible) ------------------------------------------------------- From: Marco De Angelis [log in to unmask] Date: August 11, 2020 Subject: Postdoc Position, Uncertainty Quantification, Univ of Liverpool The project will develop strategies that work efficiently and scalably with aleatory, epistemic, and mixed uncertainties. You should have programming experience, a strong quantitative background, and a PhD in Engineering, Mathematics, Computer Science, or a quantitative science. Just a couple of days left to apply. If you are interested, use the link: https://my.corehr.com/pls/ulivrecruit/erq_jobspec_details_form.jobspec?p_id=020270 ------------------------------------------------------- From: Claude Brezinski [log in to unmask] Date: August 12, 2020 Subject: Contents, Numerical Algorithms, 85 (1) Table of Contents Numerical Algorithms, Vol. 85, No. 1 A class of modified modulus-based synchronous multisplitting iteration methods for linear complementarity problems, Weiwei Xu, Lei Zhu, Xiaofei Peng, Hao Liu, Junfeng Yin. Numerical methods for the two-dimensional Fokker-Planck equation governing the probability density function of the tempered fractional Brownian motion, Xing Liu, Weihua Deng. A time two-grid algorithm based on finite difference method for the two-dimensional nonlinear time-fractional mobile/immobile transport model, Wenlin Qiu, Da Xu, Jing Guo, Jun Zhou. A full-Newton step infeasible interior-point method based on a trigonometric kernel function without centering steps, Behrouz Kheirfam, Masoumeh Haghighi. An efficient method for computing the outer inverse through Gauss-Jordan elimination, Jie Ma, Feng Gao, Yongshu Li. Efficient modified stabilized invariant energy quadratization approaches for phase-field crystal equation, Zhengguang Liu, Xiaoli Li. Regions of convergence and dynamics of Schroeder-like iteration formulae as applied to complex polynomial equations with multiple roots, Tomohiro Suzuki, Hiroshi Sugiura, Takemitsu Hasegawa. Double descent and intermittent color diffusion for landscape exploration, Luca Dieci, Manuela Manetta, Haomin Zhou. Richardson extrapolation for the discrete iterated modified projection solution, Rekha P. Kulkarni, Gobinda Rakshit. Estimates for the differences of positive linear operators and their derivatives, Ana-Maria Acu, Ioan Rasa. An optimal error bound for a finite element approximation of spatially extended predator-prey interaction model, Ahmed A. Al Ghafli, Hassan J. Al Salman. A comparison of methods for traversing regions of non-convexity in optimization problems, Michael Bartholomew-Biggs, Salah Beddiaf, Bruce Christianson. An iterated quasi-interpolation approach for derivative approximation, Zhengjie Sun, Zongmin Wu, Wenwu Gao. On convergence of continuous half-explicit Runge-Kutta methods for a class of delay differential-algebraic equations, Vu Hoang Linh, Nguyen Duy Truong. Numerical approximation for a class of singularly perturbed delay differential equations with boundary and interior layer(s), Pratima Rai, Kapil K. Sharma. Accurate computations for eigenvalues of products of Cauchy-polynomial-Vandermonde matrices, Zhao Yang, Rong Huang, Wei Zhu. On perturbed hybrid steepest descent method with minimization or superiorization for subdifferentiable functions, Mohsen Hoseini, Shahram Saeidi, Do Sang Kim. ------------------------------------------------------- End of Digest **************************