Subject: NA Digest, V. 19, # 25 NA Digest Monday, July 01, 2019 Volume 19 : Issue 25 Today's Editor: Daniel M. Dunlavy Sandia National Labs dmdunla@sandia.gov Today's Topics: Webinar, Software for Linear Algebra Targeting Exascales (SLATE) Student Prize Winners, Strathclyde NACONF, Jun 2019 Feng Kang Prize of Scientific Computing New Book, Probability and Mathematical Statistics New Book, Mathematical Modelling of the Human Cardiovascular System Nonlinearity and Coherent Structures, UK, Jul 2019 Summer School, Space-Time FEM for Conservation Laws, Germany, Aug 2019 Reliable Methods of Mathematical Modeling, Austria, Sep 2019 New Trends in Asymptotic Methods for Multiscale PDEs, Sweden, Oct 2019 Matrix Equations and Tensor Techniques, Germany, Nov 2019 Research Professorship Position, Computational Materials Science, KU Leuven Research Engineer Position, Mathematical Modelling Company, Inc Support Scientist and System Administrator Positions, HPC, NIH Postdoc Position, Computational Math, Ecole Polytechnique de Bruxelles, Belgium Postdoc Position, Investigating Prospective Teachers Experiences Postdoc Position, UQ+IGA, CNR-IMATI / Pavia, Italy Postdoc Position, Validated Computation of Special Functions, NIST PhD and Postdoc Positions, Machine Learning/Data Mining PhD/Postdoc Position, Hamburg Univ of Technology PhD Position, Data-Driven Mathematical Modelling of Ecohydrological Systems PhD Position, Mathematical Statistics PhD Position, Max Planck Institute, Magdeburg, Germany PhD Position, Parallel Algorithms, Cerfacs, France PhD Positions, Scuola Normale Superiore, Pisa, Italy New Journal, SN Partial Differential Equations and Applications Contents, Applied and Computational Mathematics, 18 (2) Contents, Computational Mathematics, 37 (4) Contents, Numerical Algorithms, 81 (3) Contents, Proc Institute of Applied Mathematics, 8 (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: Jon Gibson jon.gibson@nag.co.uk Date: June 24, 2019 Subject: Webinar, Software for Linear Algebra Targeting Exascales (SLATE) Friday 5 July 2019 14:00hrs BST / 15:00hrs CEST In this 30 minute live webinar, Jack Dongara will discuss the SLATE Project. SLATE is to provide fundamental dense linear algebra capabilities for today's high-performance computing (HPC) community. To this end, SLATE will provide basic dense matrix operations (e.g., matrix multiplication, rank-k update, triangular solve), linear systems solvers, least square solvers, singular value and eigenvalue solvers. The ultimate objective of SLATE is to replace the Scalable Linear Algebra PACKage (ScaLAPACK) library, which has become the industry standard for dense linear algebra operations in distributed memory environments. However, after two decades of operation, ScaLAPACK is past the end of its lifecycle and overdue for a replacement, as it can hardly be retrofitted to support hardware accelerators, which are an integral part of today's HPC hardware infrastructure. Please register at https://register.gotowebinar.com/register/6263384879794614019 ------------------------------------------------------- From: Alison Ramage A.Ramage@strath.ac.uk Date: June 30, 2019 Subject: Student Prize Winners, Strathclyde NACONF, Jun 2019 The 28th Biennial Conference on Numerical Analysis took place at the University of Strathclyde from June 25th-28th: thanks to all who participated in making the meeting such a great success. The three best student presentations at the conference were recognised through prizes sponsored by the UK and Ireland section of SIAM. We are delighted to announce that the prize winners this year were Jakub Stocek, Heriot-Watt University, "Optimal operator preconditioning for pseudodifferential boundary problems" Yohanes Tjandrawidjaja, ENSTA Paristech, "The Half-Space Matching Method and its application to wave scattering in elastic plates" Heather Wilber, Cornell University, "Compression properties in rank-structured solvers for Toeplitz linear systems" Many thanks to the judging panel of Francesca Arrigo, Dugald Duncan and Andy Wathen for making this very difficult decision. Philip Knight, John Mackenzie, Alison Ramage NACONF 2019 ------------------------------------------------------- From: Rujuan Ding dingrj@lsec.cc.ac.cn Date: June 25, 2019 Subject: Feng Kang Prize of Scientific Computing The 13th Feng Kang Prize of Scientific Computing has been honored to: Dr. Jun Hu, Peking University, China Dr. Haomin Zhou, Georgia Institute of Technology, USA For their significant contributions in mixed finite element methods of elasticity problems; and computational methods based on wavelets and PDE for signal /image processing and the theory of optimal transport on graphs and its application in engineering. The ceremony will be held at the General Assembly of the China Society for Computational Mathematics, Haerbin, July 31-August 4, 2019. The Office of Feng Kang Prize of Scientific Computing Beijing, June 26, 2019 ------------------------------------------------------- From: Kris ONeill oneill@siam.org Date: June 24, 2019 Subject: New Book, Probability and Mathematical Statistics Probability and Mathematical Statistics: Theory, Applications, and Practice in R by Mary C. Meyer This book develops the theory of probability and mathematical statistics with the goal of analyzing real-world data. Throughout the text, the R package is used to compute probabilities, check analytically computed answers, simulate probability distributions, illustrate answers with appropriate graphics, and help students develop intuition surrounding probability and statistics. Examples, demonstrations, and exercises in the R programming language serve to reinforce ideas and facilitate understanding and confidence. Mary C. Meyer is a statistics professor at Colorado State University, where her main area of research is estimation and inference in statistical models with inequality constraints. This includes nonparametric function estimation using constrained regression splines, density and hazard function estimation with shape constraints, and models with order restrictions. June 2019 / Approx. xii + 707 pages / Hardcover / 978-1-611975-77-2 / List $109.00 / SIAM Member $76.30 / OT162 See more details here: http://bookstore.siam.org/ot162 ------------------------------------------------------- From: Christian Vergara christian.vergara@polimi.it Date: June 29, 2019 Subject: New Book, Mathematical Modelling of the Human Cardiovascular System Mathematical Modelling of the Human Cardiovascular System - Data, Numerical Approximation, Clinical Application, by Quarteroni A., Dede' L., Manzoni A., Vergara C, Cambridge University Press https://www.cambridge.org/it/academic/subjects/mathematics/mathematical-modelling- and-methods/mathematical-modelling-human-cardiovascular-system-data-numeric\ al-approximation-clinical-applications?format=HB&isbn=9781108480390 In this book the two principal aspects of the cardiovascular system are addressed: arterial circulation and heart function. All aspects of the problem are described, ranging from data imaging acquisition, stating the basic physical principles, analyzing the associated mathematical models that comprise PDE and ODE systems, proposing sound and efficient numerical methods for their approximation, and reporting numerical results for both benchmark problems and clinically inspired problems. Critical issues involve filtering the data, identifying the parameters of mathematical models, devising optimal treatments and accounting for uncertainties. For this reason, the final part of the book is devoted to control and inverse problems, including parameter estimation, uncertainty quantification and the development of reduced-order models. ------------------------------------------------------- From: Pamela Bye pam.bye@ima.org.uk Date: June 26, 2019 Subject: Nonlinearity and Coherent Structures, UK, Jul 2019 3rd IMA Conference on Nonlinearity and Coherent Structures 10 - 12 July 2019, Northumbria University, Newcastle upon Tyne, UK Still time to register! Nonlinearity plays an important role in many fields of Science, Engineering and Technology. The aim of this conference is to bring together researchers working on aspects of nonlinear phenomena and to encourage interaction between experts from different areas such as Applied Mathematics, Mathematical Analysis, Fluid Dynamics, Engineering and Physics. Recent theoretical developments, new computational methods and experimental findings will be presented and discussed. We plan to avoid parallel sessions and foster as much as possible communication across the different communities. This Conference has been organised in cooperation with the Society for Industrial and Applied Mathematics (SIAM) and Northumbria University. Conference topics include: Integrable systems and soliton theory; Nonlinear waves and nonlinear evolution equations; Dispersive hydrodynamics; Rogue waves and extreme wave phenomena; Instability in nonlinear media; Orthogonal polynomials; Mathematical biology; Coherent structures in shear flows and transition to turbulence Further information https://ima.org.uk/10959/3rd-ima-conference-on-nonlinearity-and-coherent-structures/ Contact information: For scientific queries please contact: Dr Matteo Sommacal (Northumbria University) - matteo.sommacal@northumbria.ac.uk ------------------------------------------------------- From: Philipp Morgenstern morgenstern@ifam.uni-hannover.de Date: June 21, 2019 Subject: Summer School, Space-Time FEM for Conservation Laws, Germany, Aug 2019 Let me draw your attention to the 5th Summer School on Applied Mathematics and Mechanics, which will take place at the Leibniz University Hannover on *August 7-9, 2019*. The topic is Space-Time Finite Element Methods for Parabolic and Hyperbolic Conservation Laws. The program will last from Wednesday morning until Friday afternoon. The registration fee is 50 EUR for academic attendees. It includes lectures, programming tutorials, coffee breaks and the conference dinner. Registrations can be made via email to samm2019@conference.uni-hannover.de until June 25, 2019. For further details on program, registration, childcare etc., please visit www.ifam.uni-hannover.de/samm2019 . Confirmed speakers: Lectures will be given by - M.Sc. M.Phil. Enno Fischer (Uni Hannover) - Prof. Dr. Christian Hesch (Uni Siegen) - Prof. Dr. Olaf Steinbach (TU Graz) - Prof. Dr. Jaap van der Vegt (Uni Twente) and programming tutorials by - Dipl.-Ing. Julia Hauser (TU Graz) ------------------------------------------------------- From: Dirk Praetorius dirk.praetorius@asc.tuwien.ac.at Date: June 28, 2019 Subject: Reliable Methods of Mathematical Modeling, Austria, Sep 2019 The biennial RMMM conferences bring together scientists developing reliable methods for mathematical modeling. The 9th edition of the conference will take place on September 9-13, 2019, at TU Wien. Homepage: https://www.asc.tuwien.ac.at/rmmm2019/ Confirmed speakers: Soren Bartels (University of Freiburg, Germany): - "Simulation of twisted rods" Alex Bespalov (University of Birmingham, UK): - "Convergence analysis of adaptive stochastic Galerkin FEM" Helmut Harbrecht (University of Basel, Switzerland): - "Modelling and simulation of partial differential equations on random domains" Norbert Heuer (Pontifical Catholic University of Chile): - "DPG theory and techniques for plate bending problems" Christian Kreuzer (TU Dortmund, Germany): - "Recovery of conformity: quasi-optimal and pressure robust discretisations of the Stokes equations" Ilaria Perugia (University of Vienna, Austria): - "Adaptive hp discontinuous Galerkin methods for the Helmholtz equation" Ernst Peter Stephan (University of Hannover, Germany): - "hp-FEM for variational inequalities of the second kind involving the p- Laplacian" Rob Stevenson (University of Amsterdam, Netherlands): - "Stability of Galerkin discretizations of a mixed space-time variational formulation of parabolic evolution equations" Martin Vohralik (Inria Paris, France): - "A posteriori error estimates and adaptivity taking into account algebraic errors" Deadline for abstract submission: July 07, 2019 Deadline for registration: July 31, 2019 ------------------------------------------------------- From: Patrick Henning pathe@kth.se Date: June 25, 2019 Subject: New Trends in Asymptotic Methods for Multiscale PDEs, Sweden, Oct 2019 International Workshop on "New Trends in Asymptotic Methods for Multiscale PDEs" in Karlstad, Sweden, 21-25 October 2019 For detailed information about this workshop, for registration and for abstract submissions, please visit the following website: https://www.kau.se/index.php/en/mathematics/conferences-and-seminars/homogenization- transport-through-thin-heterogeneous-layers The workshop has a general focus on multiscale partial differential equations, both from an analytical and a numerical point of few. As one core topic it aims at advancing the understanding of transport through thin heterogeneous layers and singular sources (e.g. productions by fast reactions and/or quenching) by exploiting fundamental properties of special structures (continuous, discrete, and stochastic) using tailor-made matrix analysis for sparse systems, multiscale asymptotics techniques, approximation theory for measure-valued equations, distributed parameter control, homogenization theory of partial differential equations, etc. Contributed talks are welcome and suggestions can be submitted by email. The workshop also contains three mini-courses on the first two workshop days which are, in particular but not exclusively, directed to PhD students. ------------------------------------------------------- From: Jens Saak saak@mpi-magdeburg.mpg.de Date: June 24, 2019 Subject: Matrix Equations and Tensor Techniques, Germany, Nov 2019 It is a pleasure to announce the 8th Workshop on Matrix Equations and Tensor Techniques (METT VIII), which will be held in Magdeburg (Germany) on November 06-08, 2019. This workshop is the eighth in a series of workshops on matrix equations and tensor techniques and takes place at the Max Planck Institute for Dynamics of Complex Technical Systems. As in the previous meetings, the focus will be on the latest developments in the theory, computation and applications of linear and nonlinear matrix equations and tensor equations. All participants are invited to present their own work at the workshop by either a talk or a poster presentation. The deadline for submitting an abstract is September 30th, 2019 while the registration is due by October 11th, 2019. Further information at: https://www.mpi-magdeburg.mpg.de/csc/events/mett2019 ------------------------------------------------------- From: Dirk Roose Dirk.Roose@cs.kuleuven.be Date: June 28, 2019 Subject: Research Professorship Position, Computational Materials Science, KU Leuven At KU Leuven, Faculty of Engineering, Department of Materials Engineering and Department of Computer Science, there is a joint full-time academic vacancy in the area of Computational Materials Science. The aim is to complement the existing expertise in both departments and to bring KU Leuven to the forefront of the rapidly expanding field of computational materials science. Candidates with an interdisciplinary research record and with educational competence within the fields of Materials Science and Engineering, and Scientific Computing are invited to apply via https://www.kuleuven.be/personeel/jobsite/jobs/55136006? hl=en&lang=en. More information on the vacancy and the departments can be found on https://set.kuleuven.be/en/about-us/vacancies/ZAP-2019-72. Deadline for application: Sunday, 15 September 2019 ------------------------------------------------------- From: Bernard Beauzamy contact@scmsa.com Date: June 19, 2019 Subject: Research Engineer Position, Mathematical Modelling Company, Inc Our Company, Societe de Calcul Mathematique SA (Mathematical Modelling Company, Inc), based in Paris, France, announces the opening of a position of Research Engineer, to be filled on August 1st, 2019. Candidates may apply as soon as possible. Requirements : Master level (Bac+5) in mathematics or other scientific disciplines (physics, environment, and so on). Ability to program in VBA and Matlab, or similar languages. Good preliminary knowledge in probabilities is expected. The candidate should speak French or at least learn it quickly (a candidate may speak English at the beginning). A general presentation of our activities is given on our web site: http://scmsa.eu/accueil_e.htm (in English). A more detailed description of the job is given: http://scmsa.eu/emploi/SCM_emploi_IR.pdf (in French) ------------------------------------------------------- From: Ray Mejía ray.mejia@nih.gov Date: June 18, 2019 Subject: Support Scientist and System Administrator Positions, HPC, NIH For Support Scientist and System Administrator positions please see https://hpc.nih.gov/about/recruit.html . ------------------------------------------------------- From: Yvan Notay ynotay@ulb.ac.be Date: June 21, 2019 Subject: Postdoc Position, Computational Math, Ecole Polytechnique de Bruxelles, Belgium A 2 year postdoc position is open at Ecole Polytechnique de Bruxelles (Universite Libre de Bruxelles, Belgium) within the Numerical Analysis Group lead by Yvan Notay and Artem Napov. Research are to be conducted within the framework of the (H2020 founded) Energy oriented Centre of Excellence in computing applications (EoCoE). This initiative aims at porting towards exascale some of the biggest European simulation codes in the domain of energy. The Numerical Analysis Group contributes with the linear system solver AGMG (http://agmg.eu), which is integrated in several of the EoCoE application codes. The successful candidate will work both on the improvement of the integration of AGMG in these codes, and on the improvement of its core performance on extreme scale architectures. AGMG is a linear system solver based on algebraic multigrid, using some unique features that allow it to be world leader in its category. Altogether, publications related to AGMG have attracted more than 800 citations. Entering the team represents a unique opportunity to work on a cutting edge project mixing numerical mathematics and HPC programming. The position will remain open until it is filled. For more information and how to apply, see http://homepages.ulb.ac.be/~ynotay/Postdoc_Position.html ------------------------------------------------------- From: Lúcio Tunes dos Santos lucio@ime.unicamp.br Date: June 25, 2019 Subject: Postdoc Position, Investigating Prospective Teachers Experiences The Center for Research in Mathematical Sciences Applied to Industry (CEPID-CeMEAI) at University of Sao Paulo opens a post-doctoral research position in Mathematics Teaching and Mathematics Teacher Training. The selected candidate will work at Institute of Mathematics, Statistics and Scientific Computation (IMECC) of University of Campinas (UNICAMP) in Campinas/SP, Brazil. Financial support will be provided by Sao Paulo Research Foundation (FAPESP). The position is for one year and the starting date is July 2019. More information is avaliable at www.fapesp.br/bolsas/pd. Project: Investigating prospective teachers experiences in the mathematics teacher training degree at UNICAMP Supervisor: Lucio Tunes dos Santos Job Description: The lack of teachers in STEM (science, technology, engineering and mathematics) areas is a worldwide concern and the scenario is not different in Brazil. Even at the University of Campinas (UNICAMP), which is among the top universities in the country, the completion rate in mathematics teaching is below the average for other degrees and worryingly low considering the relevance of the profession and the shortage of professionals available. The main objective of this project is to investigate the experience of prospective mathematics teachers enrolled in the training degree at UNICAMP aiming at understanding what are the influences behind the particularly low completion rate in this degree. The experience of those involved suggests a few possible issues such as: admission of students with low prior knowledge in mathematics, challenging transition to higher education, low attractiveness of the teaching career and lack of support during higher education. A secondary objective is to understand the profile of those who choose this career at UNICAMP, aiming at developing strategies to attract and increase the interest for such an important career for the development of Brazilian education. Under the guidance of the teacher Laura Rifo. Requirements: The position requires a PhD with proven background in studies in mathematics, mathematics education and teacher training. It is expected that the candidate will be able to build a relationship with the participants and work together with the research group. The candidate must have completed his doctorate in the last 2 years. Application: Interested candidates should send an e-mail with the subject "CEPID Postdoc - Mathematics Teaching"; (lucio@ime.unicamp.br), enclosing a cover letter including names and contact information of two professionals who can recommend it (not including letters of recommendation) and curriculum. All documents must be sent in PDF format. The deadline for sending documents is July 10, 2019. ------------------------------------------------------- From: Lorenzo Tamellini lorenzo.tamellini@gmail.com Date: June 21, 2019 Subject: Postdoc Position, UQ+IGA, CNR-IMATI / Pavia, Italy Applications are invited for a postdoctoral position on "Uncertainty Quantification and Isogeometric Analysis". The position will be at CNR-IMATI, located in Pavia (Italy), and the research activity will be carried on under the supervision of Lorenzo Tamellini. Ideal candidates should have a strong background on numerical methods for PDEs and Uncertainty Quantification, as well as on C/C++ or Matlab/Python programming. The deadline for the application is July 26. Further details can be found on the website https://sites.google.com/view/postdoc-positions-at-cnr-imati ------------------------------------------------------- From: Bonita V. Saunders bonita.saunders@nist.gov Date: June 21, 2019 Subject: Postdoc Position, Validated Computation of Special Functions, NIST A two-year postdoctoral research opportunity in validated computation of special functions is available at the National Institute of Standards and Technology in Gaithersburg, MD through the US National Research Council (NRC) Associateship Program. Applicants must be US citizens. The application deadline is August 1, 2019. NIST's Applied and Computational Mathematics Division (ACMD) is developing an online system for generating validated tables of special function values with an error certification computed to user-specified precision. A typical user might be a researcher or software developer testing his own code or confirming the accuracy of results obtained from a commercial or publicly available package. The goal is to create a standalone system, but also link to and from the NIST Digital Library of Mathematical Functions (https://dlmf.nist.gov/). The project, DLMF Standard Reference Tables on Demand (DLMF Tables), is a collaborative effort with the University of Antwerp Computational Mathematics Research Group (CMA) led by Annie Cuyt. A beta site based on CMA's MpIeee, a multiprecision IEEE 754/854 compliant C++ floating point arithmetic library, is available at http://dlmftables.uantwerpen.be/ . The successful candidate will advance our current efforts in the field of validated computing through the continued research and development of multiple precision function software providing guaranteed error bounds at arbitrary precision. The associate will also help expand DLMF Tables into a full-fledged site, as well as investigate the enhancement of existing multiprecision libraries for possible inclusion in DLMF Tables. Before formally applying, candidates should contact Bonita.Saunders@nist.gov to discuss this appointment. For additional information on NIST ACMD postdoc opportunities see https://www.nist.gov/itl/math/postdoctoral-opportunities. ------------------------------------------------------- From: Evrim Acar evrim@simula.no Date: June 27, 2019 Subject: PhD and Postdoc Positions, Machine Learning/Data Mining We have one Postdoc and two PhD positions in machine learning and data mining for personalized cancer screening at SimulaMet (Simula Metropolitan Center for Digital Engineering) and Cancer Registry of Norway, Oslo, Norway. The positions are available as a part of the Norwegian-funded research project DeCipher in collaboration between SimulaMet, Cancer Registry of Norway, Lawrence Livermore National Laboratory (LLNL), and Karolinska University Hospital. The DeCipher project aims to develop a data-driven framework to provide a personalized time-varying risk assessment for cancer initiation and identify subgroups of individuals and factors leading to similar disease progression. Specifically, the following three sub-projects will be investigated: - Development of matrix factorization approaches for reconstruction of individualized disease trajectories from longitudinal screening data (PostDoc at SimulaMet) - Development of geometric deep learning framework for reconstruction of individualized disease trajectories from longitudinal screening data (PhD fellow at Cancer Registry) - Development of data fusion approaches based on matrix and tensor factorizations for joint analysis of longitudinal screening data and lifestyle information as well as other relevant health data (PhD student at SimulaMet) Application deadline: August 15, 2019 Interested candidates can learn more about the project and submit their applications through the application portal: https://www.simula.no/about/job/call-2-phd-and-1-postdoctoral-positions-machine- learning-and-data-mining-personalized ------------------------------------------------------- From: Sabine Le Borne leborne@tuhh.de Date: June 20, 2019 Subject: PhD/Postdoc Position, Hamburg Univ of Technology The Math Department of Hamburg University of Technology (TUHH, Germany) is offering a PhD/Postdoc position to contribute to research projects in the field of Numerical Linear Algebra/Structured Matrix Techniques. Besides research, the position includes teaching responsibilities (in German and/or Englisch). The position is available January 1, 2020, for a duration of three years. The salary level is according to the German public service regulation (TV-L 13). For additional information, please refer to https://stellenportal.tuhh.de/jobposting/56ef5409d56397c8beedc18414c8270f7dee7b19 or contact Sabine Le Borne (leborne@tuhh.de). The application deadline is August 7, 2019. ------------------------------------------------------- From: Jack S. Hale mail@jackhale.co.uk Date: June 25, 2019 Subject: PhD Position, Data-Driven Mathematical Modelling of Ecohydrological Systems Applications are invited for a PhD fellow in "Data-Driven Mathematical Modelling of Ecohydrological Systems" at the University of Luxembourg, under the supervision of Dr. Jack S. Hale, Prof. Christophe Ley and Dr. Stan Schymanski within the FNR DRIVEN PRIDE DTU https://driven.uni.lu/ The position is fully funded for up to 4 years with excellent pay and conditions. Possible research directions include: - Bayesian model comparison to quantify the effects of physical laws, calibration, extremum principles and information theoretic approaches on eco-hydrological model precision and reliability. - Novel extremum principles for optimal nutrient uptake based on stochastic cost measures. - Uncertainty quantification of root plant nutrient uptake using mixed-dimensional coupled stochastic partial differential equation models. Further details and application procedure can be found here: http://emea3.mrted.ly/26xf1 ------------------------------------------------------- From: Armin Eftekhari armin.eftekhari@gmail.com Date: June 30, 2019 Subject: PhD Position, Mathematical Statistics The Department of Mathematics and Mathematical Statistics at Umea University is opening a PhD position in mathematical statistics, focused on statistical learning with sparsity and deep network models. The position is for four years of research, including courses at the graduate level. Last day to apply is August 30, 2019. Project description: Modern statistical learning is at the forefront of the advances in data science and artificial intelligence, and the main objective of this doctoral position is to develop cutting-edge mathematical theory and the next generation of computational tools to address the challenges in these areas with an emphasis on learning with sparsity and other emerging data models, and to potentially explore their applications in AI, including medical imaging, automated quality control, and self-driving cars, evaluated on both simulated and real data. Understanding and exploiting structure in data to extract useful information from big datasets with the purpose of making optimal decisions will be the main research thrust for this position, where we investigate data models ranging from sparsity, to rank constraints, to deep network models, such as generative adversarial networks. Application: For more information about this position and to apply, please visit https://www.umu.se/en/work-with-us/open-positions/wasp-ai-program-phd-position-in- mathematical-statistics_279010/ or directly contact Jun Yu (jun.yu@umu.se) and Armin Eftekhari (armin.eftekhari@gmail.com). ------------------------------------------------------- From: Lihong Feng feng@mpi-magdeburg.mpg.de Date: June 20, 2019 Subject: PhD Position, Max Planck Institute, Magdeburg, Germany The department of Computational Methods in Systems and Control Theory at the Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg, Germany offers a Ph.D. position working in model order reduction for computational fluid dynamics Expected Requirements: Master's degree or equivalent (obtained or to be available soon) in Applied Mathematics, Computational Mathematics, Computational Science and Engineering; Familiarity with numerical methods for solving partial differential equations and ordinary differential equations, e.g., finite element method, finite difference method, or finite volume method; Familiarity with basics of model order reduction, numerical linear algebra, and/or system and control theory; Experience in programming with MATLAB or C++; High motivation in academic research; Excellent oral, reading and writing skills in English. The successful candidate will be sponsored with competitive salary according to German TVoD E13 (75%). English is the working language. Details about the institute and the department can be found at https://www.mpi-magdeburg.mpg.de/csc Applications should include a cover letter, CV, Diploma and transcript of records, two reference letters with contact details. Please send your application (and any inquiries) via e-mail (subject: PhD2019_fullname) to csc-jobs@mpi-magdeburg.mpg.de Deadline: September 30, 2019 Contact: Lihong Feng, E-Mail: feng@mpi-magdeburg.mpg.de, Phone: +49 (0) 391 6110 379 ------------------------------------------------------- From: Carola Kruse carola.kruse@cerfacs.fr Date: June 28, 2019 Subject: PhD Position, Parallel Algorithms, Cerfacs, France A PhD position is available at Cerfacs (Toulouse, France) within the Parallel Algorithm team led by Prof Ulrich Rude. The research will focus on fast and robust solvers for matrices arising in the discretization of partial differential equations governing subsurface flows in porous media. The work will be done in an industrial partnership with EDF R&D, the research division of the French electric utility company EDF. We are looking for a candidate with a Master (or equivalent) in the fields of computational fluid dynamics or applied mathematics and who should have interest in numerical algorithms, iterative solvers and high performance computing. Further information is available at https://cerfacs.fr/en/offer/phd-position-fast-and-robust-solvers-for-non-symmetric- systems-arising-in-the-discretizations-of-underground-flows/ ------------------------------------------------------- From: Michele Benzi michele.benzi@sns.it Date: June 20, 2019 Subject: PhD Positions, Scuola Normale Superiore, Pisa, Italy Ten PhD Fellowships are available for students interested in pursuing a PhD degree in Computational Methods and Mathematical Modeling for the Sciences and Finance. Areas of specialization include Numerical Analysis and Scientific Computing, Mathematical Models for the Sciences and Finance, Computational Physics/Chemistry/Biology, and Operations Research. A description of the new PhD program can be found at https://www.sns.it/en/computational-methods-and-mathematical-models-for-sciences- and-finance For instructions on how to apply and deadlines, please see https://www.sns.it/en/admissions/phd/how-to-apply-for-the-post-graduate-course ------------------------------------------------------- From: Jan Holland jan.holland@springer.com Date: June 21, 2019 Subject: New Journal, SN Partial Differential Equations and Applications SpringerNature has just launched "SN Partial Differential Equations and Applications", a new journal which aims at becoming a preeminent single platform for all PDE-based research, bridging the areas of Mathematical Analysis, Computational Mathematics and applications of Mathematics in the Sciences. The goal of the journal is to foster and enhance the transfer of knowledge between these different PDE-communities, raising the synergies and establishing new connections between them. More information, including the journal's editorial board and guidance on how to submit, can be found at: https://www.springer.com/42985 The journal section on Computational Mathematics, led by Sid Mishra, looks forward to your submissions! ------------------------------------------------------- From: Fikret Aliev chief_ed@acmij.az Date: June 24, 2019 Subject: Contents, Applied and Computational Mathematics, 18 (2) Applied and Computational Mathematics an International Journal Vol.18, No.2, June 2019 www.acmij.az CONTENTS A New Bivariate Spectral Collocation Method with Quadratic Convergence For Systems of Nonlinear Coupled Differential Equations, V.M. Magagula, S.S. Motsa, P. Sibanda Numerical Stability of RBF Approximation for Unsteady MHD Flow Equations, M. Gurbuz, M. Tezer-Sezgin Numerical Simulation of Jeffery-Hamel Flow of Bingham Plastic Fluid and Heat Transfer in the Presence of Magnetic Field, A. Ara, N.A. Khan, F. Sultan, S. Ullah The Equivalence Between the Enriched and Extended Soft Topologies, T.M. Al-shami, L.D.R. Kocinac Multiple Criteria Decision Making Based on Frank Choquet Heronian Mean Operator for Single-Valued Neutrosophic Sets, H. Garg, Nancy On Partial and Complete Blocking Set of States in Queueing-Inventory Model, D. Shajin, A. Krishnamoorthy, A.Z. Melikov Conflict Resolution towards an Integrated Project Scheduling and Material Ordering System in a Large-Scale Construction Project, C. Feng, T. Ni, Z. Li, J. Cai, Y. Ma Book Review: Some Algorithms for Unmanned Aerial Vehicles Navigation - V.B. Larin, A.A. Tunik, S.I. Ilnytska, Reviewed by H. Ozbay, F. Aliev, T. Basar ------------------------------------------------------- From: Yonghui Yu yyu@lsec.cc.ac.cn Date: June 27, 2019 Subject: Contents, Computational Mathematics, 37 (4) Journal of Computational Mathematics, Volume 37 (2019), Issue 4 http://www.global-sci.org/intro/articles_list/jcm/1503.html CONTENTS Unconditional Superconvergence Analysis of an H1-Galerkin Mixed Finite Element Method for Two-dimensional Ginzburg-Landau Equation, Dongyang Shi and Junjun Wang Interior Estimates of Semidiscrete Finite Element Methods for Parabolic Problems with Distributional Data, Li Guo, Hengguang Li and Yang Yang The Structure-preserving Methods for the Degasperis-Procesi Equation, Yuze Zhang, Yushun Wang and Yanhong Yang Superconvergence Analysis for Timefractional Diffusion Equations with Nonconforming Mixed Finite Element Method, Houchao Zhang and Dongyang Shi Numerical Analysis of Elliptic Hemivariational Inequalities for Semipermeable Media, Weimin Han, Ziping Huang, Cheng Wang and Wei Xu A Discontinuous Galerkin Method by Patch Reconstruction for Biharmonic Problem, Ruo Li, Pingbing Ming, Zhiyuan Sun, Fanyi Yang and Zhijian Yang A Fourth-order Compact and Conservative Difference Scheme for the Generalized Rosenau-Korteweg de Vries Equation in two Dimensions, Jue Wang and Qingnan Zeng A Decoupling Two-grid Method for the Steady-state Poisson-Nernst- Planck Equations, Ying Yang, Benzhuo Lu and Yan Xie ------------------------------------------------------- From: Claude Brezinski claude.brezinski@univ-lille.fr Date: June 17, 2019 Subject: Contents, Numerical Algorithms, 81 (3) Table of Contents Numerical Algorithms, Vol. 81, No. 3 IR Tools: a MATLAB package of iterative regularization methods and large-scale test problems, Silvia Gazzola, Per Christian Hansen, James G. Nagy A shrinking projection method for solving the split common null point problem in Banach spaces, Truong Minh Tuyen, Nguyen Song Ha, Nguyen Thi Thu Thuy Generalized Tikhonov-type regularization method for the Cauchy problem of a semi-linear elliptic equation, Hongwu Zhang, Xiaoju Zhang New semi-implicit midpoint rule for zero of monotone mappings in Banach spaces, Yan Tang, Zhiqing Bao Numerical solution of a miscible displacement problem with dispersion term using a two-grid mixed finite element approach, Hanzhang Hu, Yiping Fu, Jie Zhou Bilevel optimization with a multiobjective problem in the lower level, Roberto Andreani, Viviana A. Ramirez, Sandra A. Santos, Leonardo D. Secchin Stability analysis of a family of optimal fourth-order methods for multiple roots, Fiza Zafar, Alicia Cordero, Juan R. Torregrosa Self-adaptive gradient projection algorithms for variational inequalities involving non-Lipschitz continuous operators, Pham Ky Anh, Nguyen The Vinh Second-order difference approximations for Volterra equations with the completely monotonic kernels, Da Xu New five-step DTZD algorithm for future nonlinear minimization with quartic steady-state error pattern, Binbin Qiu, Yunong Zhang, Jinjin Guo, Zhi Yang, Xiaodong Li Linesearch methods for bilevel split pseudomonotone variational inequality problems, Tran Viet Anh Uniform approximation on the sphere by least squares polynomials, Woula Themistoclakis, Marc Van Barel Two non-parameter iterative algorithms for identifying strong H-tensors, Yangyang Xu, Ruijuan Zhao, Bing Zheng Approximating fixed points of generalized a-nonexpansive mappings in Banach spaces by new faster iteration process, H. Piri, B. Daraby, S. Rahrovi, M. Ghasemi On the problem of starting points for iterative methods, Stefan Maruster, Laura Maruster A new combined characteristic mixed finite element method for compressible miscible displacement problem, Jiansong Zhang ------------------------------------------------------- From: Fikret Aliev proceedings.IAM@gmail.com Date: June 24, 2019 Subject: Contents, Proc Institute of Applied Mathematics, 8 (1) F.A. Aliev, N.A. Aliev, M.M. Mutallimov, A.A. Namazov,Identification method for defining the order of the fractional derivative oscillatory system T.S. Gadjev, S.Y. Aliev, M.N. Kerimova, The strong solvability boundary value problem for linear non-divergent degenerate equations of elliptic-parabolic type Shamsur Rahman, Mohd Sadiq Khan, and Aboo Horaira, Cr- submanifolds of a nearly trans-hyperbolic sasakian manifold with a quarter symmetric metric connection N.A. Aliyev, T.S. Mamieva, Research of solution of problems for nonlinear difference two-different second-order equation I. Sh Jabbarov, G. K. Hasanov, L. G. Ismailova, Estimation for the area of the surface by using of singular numbers of functional matrix containing partial derivatives of high order S.T. Huseynov, R.M. Taghiev, Harnack inequality for -Laplacian P.Thirupathi Reddy , B. Venkateswarlu, S. Sreelakshmi, Subclass of meromorphically univalent functions E.M. Farhadzadeh, Yu.Z. Farzaliyev, About expediency of classification of multidimensional data O.Z. Namazov, R.M. Tagiyev, G.S. Alieva, Construction of the sweep algorithm by the relaxation method for solving gaslift problem A.A. Namazov, Defining the coefficient of hydraulic resistance by means of the Rosser model in gas lift process ------------------------------------------------------- End of Digest **************************