Subject: NA Digest, V. 18, # 1 NA Digest Sunday, January 07, 2018 Volume 18 : Issue 1 Today's Editor: Daniel M. Dunlavy Sandia National Labs [log in to unmask] Today's Topics: UQ for Inverse Problems in Complex Systems, UK, Apr 2018 Short Course, Hybridized Discontinuous Galerkin Methods, USA, Jul 2018 World Congress on Computational Mechanics, USA, Jul 2018 Finite Element Rodeo, USA, Feb 2018 Domain Decomposition Methods, Canada, Jul 2018 Research Associate Position, Complex Fluid Flows DAAD Postdoc Fellowship Position, AIMS South Africa Herman Goldstine Postdoc Fellowship Position, IBM Research Postdoc Position, Institute of Mathematics, Prague Postdoc Position, Scientific Computing, Univ of Edinburgh Postdoc/PhD Positions, Data Analysis for CAE Graduate Student Positions, Department of Scientific Computing, FSU PhD Position, Numerical Analysis PhD Position, Numerical Partial Differential Equations, Thapar Univ PhD Position, Univ of Bath (UK) Contents, Computational methods in applied mathematics, 2018 (1) Contents, Information and Inference: A Journal of the IMA, 6 (4) Contents, Numerical Algorithms, 77 (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: Claudia Schillings [log in to unmask] Date: January 06, 2018 Subject: UQ for Inverse Problems in Complex Systems, UK, Apr 2018 WORKSHOP: UQ for Inverse Problems in Complex Systems Isaac Newton Institute, Cambridge 9 - 13 April 2018 https://www.newton.ac.uk/event/unqw04 Registration for this workshop is open through to 4th February 2018. It is characteristic of many physical systems that quantities that are accessible to experimental observation are related through mathematical models to important characteristics that are not directly observable. For this reason, the formulation and solution of inverse problems is a fundamental component of scientific inference and engineering design using data and models. It is also one of the fundamental challenges in Uncertainty Quantification, since uncertainty and stochastic error affects both the observable quantities and models. Those challenges become very severe when the systems involved are complex, e.g. incorporating multiple physical processes acting over a range of scales. The workshop will be devoted to exploring the challenges associated with stochastic inverse problems for complex systems. The workshop will be organized around a set of themes: (1) Formulation, solution, and use of inverse problems for large complex systems; (2) Bayesian model calibration; (3) Efficiency and accuracy in computational methods for stochastic inverse problems; and (4) Experimental design. We will also organize a discussion exploring the possibility of establishing a set of community challenge problems. Please see the workshop webpage for registration details. Limited funding is available to support PhD students. There will be a poster session. Priority for funding will be given to those students submitting posters. Note that the organisers are not accepting contributed talks. This workshop is the fourth event in a six-month programme on Uncertainty Quantification at the Isaac Newton Institute, see http://www.newton.ac.uk/event/unq . ------------------------------------------------------- From: Tan Bui-Thanh [log in to unmask] Date: January 02, 2018 Subject: Short Course, Hybridized Discontinuous Galerkin Methods, USA, Jul 2018 I will offer a short course on Hybridized Discontinuous Galerkin methods for PDEs at WCCM 18 http://www.wccm2018.org/ July 22-27, 2018 in New York City. The objective of the short course is attached below and the details can be found here http://www.wccm2018.org/18SC_002 In this short course, we present a systematic and constructive derivation of hybridized discontinuous Galerkin (HDG) methods using an upwind framework. The key behind our construction is the Godunov method and the Rankine-Hugoniot condition. We will show in details the construction of an upwind HDG framework and its application to constructively derive HDG methods for a large class of partial differential equations (PDEs) including elliptic, parabolic, hyperbolic, and mixed-types PDEs. The participants will learn how to apply this framework to derive HDG methods for convection-diffusion-reactions equations (and its subsets), Maxwell equations, and linearized shallow water equation. The well-posedness of the HDG framework will be discussed and the well-posedness analysis of the HDG formulation for the convection-diffusion-reaction will be carried out in details. The participants will learn a step-by-step convergence analysis of the HDG method for the linearized shallow water equations. We will discuss the extension to nonlinear systems and active research topics. At the end of the short course, participants will, without wary, be able to construct HDG methods for their applications of interest. They will learn how HDG is implemented in practice and accompanied HDG Matlab codes will be provided at end of the short course. ------------------------------------------------------- From: Tan Bui-Thanh [log in to unmask] Date: January 04, 2018 Subject: World Congress on Computational Mechanics, USA, Jul 2018 World Congress on Computational Mechanics (WCCM) July 22-27, 2018 in New York City, New York. Minisymposia of interest: High-Order discretizations for Multi-physics Applications http://www.wccm2018.org/MS_319 Advances in Uncertainty Quantification for Multi-physics Applications http://www.wccm2018.org/MS_912 The deadline for submitting an abstract is January 15, 2017 and instruction for abstract submission can be found at http://www.wccm2018.org/abstract-submission . Please note that this invitation comes with no offer of funding, but it is our intention to put together a number of interesting talks which could draw a good audience and help promote a significant exchange of ideas and information among the participants and audience. ------------------------------------------------------- From: Susanne C. Brenner [log in to unmask] Date: January 06, 2018 Subject: Finite Element Rodeo, USA, Feb 2018 The 2018 Finite Element Rodeo will be held at Louisiana State University, February 23-24, 2018. Registration and logistical details can be found at https://www.cct.lsu.edu/FEMRodeo ------------------------------------------------------- From: Ronald Haynes [log in to unmask] Date: January 04, 2018 Subject: Domain Decomposition Methods, Canada, Jul 2018 The 25th International Conference on Domain Decomposition Methods (DD25) will be held at Memorial University, in St. John's, Newfoundland, Canada from July 23 to 27, 2018. The conference will be proceeded by a one day short course on the theory and practice of domain decomposition methods, suitable for beginning graduate students, on Sunday July 22, 2018. The registration system for the meeting is now open, participants can register at the url https://tinyurl.com/yd3ecrao . Abstract and title submission will follow. We would like to remind participants of the upcoming minisymposium proposal deadline of January 19, 2018. Proposals for minisymposia, should be sent directly to the email address [log in to unmask] Submissions should take the form of a plain text email, with the title and a brief description of the subject matter and timeliness of the minisymposium. Please indicate the number of speakers expected in your minisymposium, including a (tentative) list of speakers with titles/topics, if possible. Potential participants are asked to fill out a quick (anonymous) google form now, to help us make local arrangements for the meeting: https://goo.gl/forms/6PkxlWESDYxhGgo32 Applications are being accepted for travel support for young US participants, graduate students, and recent Ph.D.recipients for the Twenty-fifth International Domain Decomposition Conference (DD25) at the Memorial University of Newfoundland in St. John's, Newfoundland, Canada, July 23-27, 2018. This support is funded by the National Science Foundation. To be considered for funding please email a cover letter, including a statement about why you want to participate, along with a CV to [log in to unmask] Please arrange for one letter of recommendation to be sent separately to the same email address. Deadline for submissions: March 31, 2018. For more information, visit the conference website, http://dd25.math.mun.ca, or email [log in to unmask] ------------------------------------------------------- From: Serafim Kalliadasis [log in to unmask] Date: January 03, 2018 Subject: Research Associate Position, Complex Fluid Flows Applications are invited by highly talented researchers for a Research Associate position funded by the EPSRC project "Fluid Processes in Smart Microengineered Devices: Hydrodynamics and Thermodynamics in Microspace," under the joint supervision of Prof. Serafim Kalliadasis (Chemical Engineering, Imperial College) and Dr. Marc Pradas (Mathematics & Statistics, Open University). The project concerns the theoretical-computational investigation of hydrodynamics of smart microengineered devices in the presence of complexities such as vapour-liquid interfaces and critical phenomena- phase transitions, thus ultimately bridging the gap between microfluidics and modern theoretical physics. It is in collaboration with the experimental microchemical engineering group of Prof. Asterios Gavriilidis (Chemical Engineering, University College London). The successful candidate should have a PhD (or equivalent) in Mathematics, Physics, Engineering or other related area and a strong foundation on general mathematical modelling and mathematical techniques (analytical and numerical). A good knowledge of interfacial fluid mechanics and critical phenomena theory is highly desirable. They will join a highly interdisciplinary team working on a wide variety of exciting projects at the interface between applied mathematics and engineering science fundamentals. The post is available immediately and is based in the Department of Chemical Engineering at Imperial College London (South Kensington Campus). The appointment is for 12 months in the first instance, with the possibility of extension. Informal enquiries about the post can be made to Prof. Serafim Kalliadasis ([log in to unmask]). Should you have any queries about the application process please contact Mrs Sneha Saunders ([log in to unmask]). Our preferred method of application is online via our website https://www.imperial.ac.uk/jobs (please enter the vacancy reference number ENG00132 in "Search for jobs"). Please complete and upload an application form and a copy of your CV as directed. For technical issues when applying online, please contact: [log in to unmask] ------------------------------------------------------- From: Bubacarr Bah [log in to unmask] Date: January 03, 2018 Subject: DAAD Postdoc Fellowship Position, AIMS South Africa Applications are invited for the DAAD funded postdoctoral fellowship in Mathematics at AIMS South Africa under the supervision of Dr. Bubacarr Bah, the German Research Chair for Mathematics with specialization in Data Science, see details at https://www.aims.ac.za/en/opportunities/vacancies/postdoctoral-fellowships. The research area will be Data Science in a very broad sense. Applications will be submitted through the DAAD portal found at https://www.daad.de/deutschland/stipendium/datenbank/en/21148-scholarship-database/? origin=136&status=2&subjectGrps=C&daad=1&q=postdoctoral%20\ fellowship&page=1&detail=57407689#bewerbung%20 In recognition of the higher cost of living in South Africa compared to other Sub-saharan African countries, the salary offered by DAAD will be topped-up by AIMS South Africa and the amount of top-up will be negotiated with the candidate. Furthermore, the candidate will be provided with a laptop and he/she will have the opportunity to spend time in Germany working with Dr. Bah's collaborators. Closing date for applications: 15 January 2018 ------------------------------------------------------- From: Sanjeeb Dash [log in to unmask] Date: January 03, 2018 Subject: Herman Goldstine Postdoc Fellowship Position, IBM Research 2018-2019 Herman Goldstine Postdoctoral Fellowship at IBM Research The Mathematical Sciences Department of the IBM Thomas J. Watson Research Center invites applications for its 2018-2019 Herman Goldstine Memorial Postdoctoral Fellowship for research in mathematical and computer sciences. The fellowship provides scientists of outstanding ability an opportunity to advance their scholarship as resident department members at the Research Center. The department provides an atmosphere in which basic research is combined with work on technical problems arising in industry. Our permanent members, academic visitors, and post-doctoral fellows pursue research in pure and applied mathematics and in theoretical and exploratory computer science. Areas of research include: algorithms (approximation, randomized, and on-line); complex systems; data mining (machine learning, pattern recognition, computational statistics); dynamical systems; high-performance computing (scientific computing, parallel computing, big-data); inverse problems; numerical analysis; optimization (discrete, continuous, global and stochastic); operations research; probability theory (stochastic models, risk management, queues & queuing networks, simulation); and statistics (time-series, multivariate analysis, spatiotemporal analysis, design of experiments & reliability). Up to two fellowships will be awarded. The fellowship has a period of one year and may be extended another year by mutual agreement. The stipend is expected to be between $130,000 and $150,000, depending on the length of experience. Applications will be accepted until Jan 16, 2018. Candidates must have received a Ph.D. degree after September 2013 or should expect to receive one before the fellowship commences in September 2018. For full details and to apply, please visit: http://www.research.ibm.com/goldstine/ ------------------------------------------------------- From: Tomáš Vejchodský [log in to unmask] Date: January 05, 2018 Subject: Postdoc Position, Institute of Mathematics, Prague The Institute of Mathematics of the Czech Academy of Sciences, Prague, calls for applications for a Postdoctoral position, see http://www.math.cas.cz/recrutements/postes.php?lang=0 Applications are invited from candidates who have completed their Ph.D. after 1 July 2016 (maternity/paternity leave will be taken into account). Applicants who have not yet obtained their Ph.D. must provide evidence that their thesis will be defended before 1 July 2018. Strong candidates interested in numerical analysis are especially welcome. Feel free to contact me for more information. ------------------------------------------------------- From: Nick Polydorides [log in to unmask] Date: January 06, 2018 Subject: Postdoc Position, Scientific Computing, Univ of Edinburgh The Computational Imaging and Data Analytics lab at the School of Engineering is seeking to hire a postdoctoral research associate to work on an EPSRC funded project on real-time process analytics. The project's focus is on developing randomised numerical linear algebra algorithms for approximating the solution of finite element method and regression equations in high-dimensional models. More details on the post and the application process at https://academicjobsonline.org/ajo/jobs/10714 Post duration: 2 years, Deadline for apps: 31-Jan-2018. ------------------------------------------------------- From: Jochen Garcke [log in to unmask] Date: January 04, 2018 Subject: Postdoc/PhD Positions, Data Analysis for CAE The Fraunhofer Institute for Algorithms and Scientific Computing SCAI develops innovative methods in the field of Computational Science and actively supports their take-up in industrial practice. The Department of Numerical Data-Driven Prediction deals with applications and methods of machine learning and data-driven prediction, especially in engineering. Both PhD and PostDoc positions are available (E13/E14 payment scale), where the PhD will be undertaken at the University of Bonn. You will work on national and international research and development projects as well as industrial projects on tasks related to the topics: - Analysis of numerical simulation data - Development of statistical models and machine learning methods - Analysis of time series from cyber-physical systems We expect a degree in mathematics, computer science, or a comparable field of study with a solid share of mathematics. Postdoctoral applicants must have published in first-rate venues. Besides the willingness to carry out business- and practice-oriented research projects in a committed and independent team, we require very good knowledge of software development, especially fluency in C++ or python. Ideally, you have academic and practical experience in some of the following areas: machine learning, numerical simulation, sensor data processing, software technology, visualization. For more and to apply visit https://www.scai.fraunhofer.de/de/karriere/stellenangebote/mehrere-Wissenschaftliche- Mitarbeiter.html (if need be, translate with the help of www.DeepL.com/Translator). For further inquiries, please contact Jochen Garcke (https://www.scai.fraunhofer.de/en/ndv). ------------------------------------------------------- From: Gordon Erlebacher [log in to unmask] Date: January 01, 2018 Subject: Graduate Student Positions, Department of Scientific Computing, FSU Florida State State University's Department of Scientific Computing (DSC; https://sc.fsu.edu) is currently accepting applications for its interdisciplinary Masters and PhD programs. These programs provide graduate students broad and deep knowledge of the fundamental techniques used in computational modeling and data science, significant exposure to at least one application domain, and the opportunity to conduct significant original research in algorithms and/or applications relating to computational and data science. A brief overview of the MS and PhD programs can be found at http://sc.fsu.edu/education, and a short movie at https://www.youtube.com/watch?v=7IuHxX-N4tI . To be considered for funding, the deadline for application for the Fall 2018 cohort is January 15, 2018. Application information can be found at https://www.sc.fsu.edu/graduate/application. Self-funded applicants interested in our one-year MS program are considered throughout the Spring Semester. Please forward this message along to any students that you think might be interested in our graduate program. Requests for more information and questions about the graduate programs or about the Department of Scientific Computing should be addressed to the Graduate Coordinator Dr. Sachin Shanbhag at [log in to unmask] or to the Chair Gordon Erlebacher (Chair) at [log in to unmask] ------------------------------------------------------- From: Prof. Dr. Stefan Sauter [log in to unmask] Date: January 03, 2018 Subject: PhD Position, Numerical Analysis The Computational Mathematics Group at the University of Zurich has an opening for a PhD position for 3+1 years. Development of an efficient numerical method to solve wave equations in unbounded domains by space-time integral equation methods. Master/diploma in Mathematics, very good knowledge in numerical analysis and good knowledge in programming. In environmental physics there are applications where it is essential to obtain information on material properties inside (large) solid objects. For this purpose, typically, a wave is sent into the solid and the scattered wave is recorded and used to solve the relevant mathematical equations for the quantity of interest. The proposal for this project has a concrete application: to determine the ice volume of glaciers in Switzerland (within a cooperation with the "Exploration and Environmental Geophysics" group at ETHZ). The software development will be a close cooperation with the "Scientific Computing Group" at the University of Kiel. Starting salary: CHF 58'800. The I-Math at the University of Zurich provides an excellent environment and infrastructure for their PhD students. PhD students are members of the Zurich Graduate School in Mathematics (ZGSM) which is jointly run with the D-Math at the ETH Zurich. The new PhD students will be integrated in the Numerical Analysis/Computational Mathematics research group of Professor Stefan Sauter. Applications should include electronic versions of your transcripts and, if available, a certificate of the master degree. In addition 3 letters of recommendation are requested. The application should be send to the head of the Numerical Analysis Group, Professor Stefan Sauter (eMail: [log in to unmask]). The application deadline is February 15, 2018. ------------------------------------------------------- From: Paramjeet Singh [log in to unmask] Date: January 04, 2018 Subject: PhD Position, Numerical Partial Differential Equations, Thapar Univ Applications are invited from the candidates for recruitment of Junior Research Fellow under NBHM (DAE) research project entitled "Numerical Analysis of Tumor Growth Models using Discontinuous Galerkin Techniques" at the School of Mathematics, Thapar Institute of Engineering & Technology, Patiala, India. Required Job Profile: Candidate must possess M.Sc. in mathematics with good academic record. Preference will be given to candidates qualified in NET/GATE. The candidate must have strong background in analysis and partial differential equations, and should be strongly motivated to research in partial differential equations and applications. This work will lead to a PhD degree. Fellowship: Rs. 25000.00 per month for first and second year and Rs. 28000.00 per month for third year. Eligible and interested candidates should send their detailed CV through e-mail to Dr. Paramjeet Singh ([log in to unmask]), Principal Investigator of the Project. The application deadline is January 15, 2018. For more information, please visit University Openings http://www.thapar.edu/index.php/achievers/openings-tu ------------------------------------------------------- From: Robert Scheichl [log in to unmask] Date: January 02, 2018 Subject: PhD Position, Univ of Bath (UK) "On-line drill system parameter estimation & hazardous event detection" Centre for Doctoral Training in Statistical Applied Mathematics (SAMBa) Department of Mathematical Sciences, University of Bath. Supervisors: Kari Heine, Mark Opmeer and Rob Scheichl (in collaboration with Schlumberger). Starting September 2018 or before The project aims to develop statistical methods for automatic detection of hazardous events in oil and gas drilling operations, beginning within simple models and moving to more complex scenarios. The scope of the project includes developing surrogate models, using computational methods and Bayesian approaches to estimate system parameters, studying methods for hazardous event detection, and then using multilevel inference to develop an algorithm that brings all the results together. This is a fully-funded studentship for any EU/UK student. More details at https://www.findaphd.com/search/ProjectDetails.aspx?PJID=92166 Further fully-funded projects on related topics are also available. These can be found at www.findaphd.com with PJIDs: 85079, 86111, 92169, and 92716. ------------------------------------------------------- From: Piotr Matus [log in to unmask] Date: January 07, 2018 Subject: Contents, Computational methods in applied mathematics, 2018 (1) COMPUTATIONAL METHODS IN APPLIED MATHEMATICS (2018), No 1 The Second Part of the Special CMAM Issue on Numerical Analysis of Fractional Differential Equations, Guest Editors: Raytcho Lazarov, Petr Vabishchevich, and Bangti Jin. 1. Space-Time Petrov-Galerkin FEM for Fractional Diffusion Problems, Duan, Beiping / Jin, Bangti / Lazarov, Raytcho / Pasciak, Joseph / Zhou, Zhi. Pp 1-20. 2. Super-Exponentially Convergent Parallel Algorithm for a Fractional Eigenvalue Problem of Jacobi-Type, Gavrilyuk, Ivan / Makarov, Volodymyr / Romaniuk, Nataliia. Pp 21-32. 3. Convergence in Positive Time for a Finite Difference Method Applied to a Fractional Convection-Diffusion Problem, Gracia, Jose Luis / O'Riordan, Eugene / Stynes, Martin. Pp 33-42. 4. Muntz Spectral Methods for the Time-Fractional Diffusion Equation, Hou, Dianming / Hasan, Mohammad Tanzil / Xu, Chuanju. Pp 43-62. 5. Finite Difference Methods for the Generator of 1D Asymmetric Alpha-Stable Levy Motions, Huang, Yanghong / Wang, Xiao. Pp 63-76. 6. The Numerical Computation of the Time Fractional Schrodinger Equation on an Unbounded Domain, Li, Dan / Zhang, Jiwei / Zhang, Zhimin. Pp 77-94. 7. Sparse Optimal Control for Fractional Diffusion, Otarola, Enrique / Salgado, Abner J. Pp 95-110. 8. Numerical Solution of Time-Dependent Problems with Fractional Power Elliptic Operator, Vabishchevich, Petr N. Pp 111-128. 9. Some Time Stepping Methods for Fractional Diffusion Problems with Nonsmooth Data, Yang, Yan / Yan, Yubin / Ford, Neville J. Pp 129-146. 10. A High-Order Difference Scheme for the Space and Time Fractional Bloch-Torrey Equation, Zhu, Yun / Sun, Zhi-Zhong. Pp 147-164. ------------------------------------------------------- From: Kathryn Roberts [log in to unmask] Date: January 02, 2018 Subject: Contents, Information and Inference: A Journal of the IMA, 6 (4) Contents, Information and Inference: A Journal of the IMA, 6 (4) Information and Inference: A Journal of the IMA This issue is available at http://bit.ly/2qdf97x Representation and coding of signal geometry, Petros T Boufounos; Shantanu Rane; Hassan Mansour Clustering subgaussian mixtures by semidefinite programming, Dustin G Mixon; Soledad Villar; Rachel Ward Posterior contraction in Gaussian process regression using Wasserstein approximations, Anirban Bhattacharya; Debdeep Pati Time for dithering: fast and quantized random embeddings via the restricted isometry property, Laurent Jacques; Valerio Cambareri ------------------------------------------------------- From: Claude Brezinski [log in to unmask] Date: January 07, 2018 Subject: Contents, Numerical Algorithms, 77 (1) Table of Contents Numerical Algorithms, Vol. 77, No. 1 Modified Newton-NSS method for solving systems of nonlinear equations, Ping-Fei Dai, Qing-Biao Wu, Min-Hong Chen Design and analysis of two discrete-time ZD algorithms for time-varying nonlinear minimization, Dongsheng Guo, Xinjie Lin, Zhaozhu Su, Sibo Sun, Zhijing Huang Extended phase properties and stability analysis of RKN-type integrators for solving general oscillatory second-order initial value problems, Kai Liu, Xinyuan Wu, Wei Shi Adaptive mesh point selection for the efficient solution of scalar IVPs, Boleslaw Kacewicz On the numerical treatment of the eigenparameter dependent boundary conditions, Calin-Ioan Gheorghiu A new eight-order symmetric two-step multiderivative method for the numerical solution of second-order IVPs with oscillating solutions, Ali Shokri A new approach to improve the order of approximation of the Bernstein operators: theory and applications, Hassan Khosravian-Arab, Mehdi Dehghan, M.R. Eslahchi A parallel two-grid linearized method for the coupled Navier-Stokes-Darcy problem, Liyun Zuo, Guangzhi Du MN-DPMHSS iteration method for systems of nonlinear equations with block two-by-two complex Jacobian matrices, Jing Wang, Xue-Ping Guo, Hong-Xiu Zhong Convergence properties of dynamic string-averaging projection methods in the presence of perturbations, Christian Bargetz, Simeon Reich, Rafal Zalas Bernstein polynomial basis for numerical solution of boundary value problems, Hamid Reza Tabrizidooz, Khadigeh Shabanpanah New error bounds for the linear complementarity problem of QN-matrices, Lei Gao, Yaqiang Wang, Chaoqian Li Multiquadric trigonometric spline quasi-interpolation for numerical differentiation of noisy data: a stochastic perspective, Wenwu Gao, Ran Zhang Optimal homotopy analysis of a chaotic HIV-1 model incorporating AIDS-related cancer cells, Jorge Duarte, Cristina Januario, Nuno Martins, C. Correia Ramos, Carla Rodrigues, Josep Sardanyes Krasnoselski-Mann type iterative method for hierarchical fixed point problem and split mixed equilibrium problem, K. R. Kazmi, Rehan Ali, Mohd Furkan Correction to: Polynomials with bounds and numerical approximation, B. Despres, M. Herda ------------------------------------------------------- End of Digest **************************