Subject: NA Digest, V. 16, # 17

<br /><br />NA Digest  Tuesday, April 25, 2016  Volume 16 : Issue 17

<br /><br />Today's Editor:

<br /><br /> &nbsp; Daniel M. Dunlavy
<br /> &nbsp; Sandia National Labs
<br /> &nbsp; <a href='mailto:dmdunla@sandia.gov'>dmdunla@sandia.gov</a>

<br /><br />Today's Topics:

<br /><br />New Book, Numerical Analysis Using R: Solutions to ODEs and PDEs
<br />DelMar Numerics Day, USA, May 2016
<br />Mathematical Modeling in Industry, Germany, Jun 2016
<br />Numerical Linear Algebra and Optimization, UK, Sep 2016
<br />Professor Position, Applied Mathematics, Ghent Univ
<br />Professorship Position, Numerical Methods for PDEs, Tech Univ Berlin
<br />Postdoc Position, Computational Biology, Ryerson Univ
<br />Postdoc Position, Uncertainty Quantification, TU Munich
<br />Postdoc Positions, Applied Industrial Mathematics
<br />Postdoc Positions, Univ of Coimbra
<br />PhD Position, Univ of L'Aquila
<br />PhD Positions, Algorithmic Optimization, Trier Univ, Germany
<br />PhD Positions, Aston Univ, UK
<br />Contents, BIT Numerical Mathematics, 56 (1)
<br />
<br />Subscribe, unsubscribe, change address, or for na-digest archives:
<br /> &nbsp; <a href='http://www.netlib.org/na-digest-html/faq.html'>http://www.netlib.org/na-digest-html/faq.html</a>

<br /><br />Submissions for NA Digest:
<br /> &nbsp; http://icl.cs.utk.edu/na-digest/

<br /><br />-------------------------------------------------------

<br /><br />From: Graham W Griffiths <a href="malito:graham@griffiths1.com">graham@griffiths1.com</a>
<br />Date: April 20, 2016
<br />Subject: New Book, Numerical Analysis Using R: Solutions to ODEs and PDEs

<br /><br />This book presents some of the latest numerical solutions to initial
<br />value problems and boundary value problems described by ODEs and
<br />PDEs. The author offers practical methods that can be adapted to solve
<br />a wide range of problems which are illustrated in the increasingly
<br />popular open source computer language R, which allows integration with
<br />more statistically based methods. The book begins with standard
<br />techniques, followed by an overview of high resolution 'flux limiter'
<br />and 'weighted essentially non-oscillatory' (WENO) methods to solve
<br />problems with solutions exhibiting high gradient phenomena. Meshless
<br />methods using radial basis functions (RBFs) are then discussed in the
<br />context of scattered data interpolation and the solution of PDEs on
<br />irregular grids. Three detailed case studies demonstrate how numerical
<br />methods can be used to tackle very different complex problems. With
<br />its focus on practical solutions to real-world problems, this book
<br />will be useful to students and practitioners in all areas of science
<br />and engineering, especially those using R. All code are available for
<br />download.
<br />- Practical solutions to ODEs and PDEs using computer code.
<br />- Overviews of 'high resolution' schemes and meshless methods.
<br />- Case studies illustrating the use of real-world numerical analysis.
<br />
<br />Table of Contents: 1. ODE integration methods.  2. Stability analysis
<br />of ODE integrators.  3. Numerical solution of PDEs.  4. PDE stability
<br />analysis.  5. Dissipation and dispersion.  6. High resolution schemes.
<br />7. Meshless methods.  8. Conservation laws.  9. Case study: analysis
<br />of golf ball flight.  10. Case study: Taylor-Sedov blast wave.
<br />11. Case study: the carbon cycle.
<br />
<br />Supporting website: http://www.pdecomp.net
<br />

<br /><br />-------------------------------------------------------

<br /><br />From: Tobias von Petersdorff <a href="malito:tvp@math.umd.edu">tvp@math.umd.edu</a>
<br />Date: April 19, 2016
<br />Subject: DelMar Numerics Day, USA, May 2016

<br /><br />The DELMAR NUMERICS DAY is an annual workshop which aims to display
<br />the research diversity of computational mathematics in Maryland,
<br />Delaware and vicinity.
<br />
<br />This year it will be held on Saturday, May 14, 2016 at the George
<br />Mason University (Fairfax, VA). The keynote talk is
<br />
<br />     PDE constrained optimization with uncertain data
<br />     by Matthias Heinkenschloss (Rice University) 
<br />
<br />In addition there will be 12 contributed talks, selected by the
<br />organizing committee to represent diverse topics of research in
<br />computational mathematics.
<br />
<br />Registration is free. We particularly encourage graduate students
<br />and young researchers to attend and submit talks. The deadline for
<br />submitting talks is May 4, 2016.
<br />
<br />  http://delmar.math.umd.edu
<br />
<br />Scientific Committee:
<br />Ricardo H. Nochetto (U of Maryland, College Park)
<br />Petr Plechac (U of Delaware)
<br />Francisco-Javier Sayas (U of Delaware)
<br />Tobias von Petersdorff (U of Maryland, College Park)

<br /><br />-------------------------------------------------------

<br /><br />From: Anja Milde <a href="malito:anja.milde@iwr.uni-heidelberg.de">anja.milde@iwr.uni-heidelberg.de</a>
<br />Date: April 19, 2016
<br />Subject: Mathematical Modeling in Industry, Germany, Jun 2016

<br /><br />The HGS MathComp's 11th Modeling Day on "Mathematical Modeling in
<br />Industry" takes place on June 9, 2016, at the Mathematikon in
<br />Heidelberg.
<br />
<br />The half-day event starts at 2PM and offers a platform for both
<br />practitioners and scientists to discuss innovations, determine
<br />similarities and differences of applied modeling approaches, as well
<br />as maintain mutual exchange of experiences. 

<br />
<br />This Modeling Day aims at contributing to communication between
<br />industry and university within the complex issue "Mathematical
<br />Modeling in Industry". 

<br />
<br />This Modeling Day is a joint event with the workshop on "Model-Based
<br />Optimizing Control - From a Vision to Industrial Reality", taking
<br />place in Heidelberg from June 9-10, 2016.
<br />
<br />Participation is free of charge. Participants are kindly requested to
<br />register in advance by completing and submitting the Registration Form
<br />until June 5, 2016.
<br />
<br />For further information, please visit the event's website at
<br />http://modellierungstag.de/
<br />

<br /><br />-------------------------------------------------------

<br /><br />From: Pamela Bye <a href="malito:pam.bye@ima.org.uk">pam.bye@ima.org.uk</a>
<br />Date: April 22, 2016
<br />Subject: Numerical Linear Algebra and Optimization, UK, Sep 2016

<br /><br />University of Birmingham, UK
<br />7 - 9 September 2016
<br />
<br />The IMA and the University of Birmingham are pleased to announce the
<br />Fifth IMA Conference on Numerical Linear Algebra and Optimization. The
<br />meeting is co-sponsored by SIAM, whose members will receive the IMA
<br />members' registration rate.
<br />
<br />The success of modern codes for large-scale optimization is heavily
<br />dependent on the use of effective tools of numerical linear
<br />algebra. On the other hand, many problems in numerical linear algebra
<br />lead to linear, nonlinear or semidefinite optimization problems. The
<br />purpose of the conference is to bring together researchers from both
<br />communities and to find and communicate points and topics of common
<br />interest.  Conference topics include any subject that could be of
<br />interest to both communities, such as:
<br />Direct and iterative methods for large sparse linear systems;
<br />Eigenvalue computation and optimization; Large-scale nonlinear and
<br />semidefinite programming; Effect of round-off errors, stopping
<br />criteria, embedded iterative procedures; Optimization issues for
<br />matrix polynomials; Fast matrix computations; Compressed/sparse
<br />sensing; PDE-constrained optimization; Distributed computing and
<br />optimization; and Applications and real time optimization
<br />
<br />Abstract submission: 30 April 2016
<br />Notification of acceptance of abstracts: 31 May 2016
<br />Conference: 7-9 September 2016
<br />
<br />Further information: http://tinyurl.com/IMANLAO2016
<br />

<br /><br />-------------------------------------------------------

<br /><br />From: Marnix Van Daele <a href="malito:Marnix.VanDaele@UGent.be">Marnix.VanDaele@UGent.be</a>
<br />Date: April 25, 2016
<br />Subject: Professor Position, Applied Mathematics, Ghent Univ

<br /><br />The Department Applied Mathematics, Computer Science and Statistics at
<br />Ghent University (Belgium) invites applications for the position of a
<br />full-time professor in the rank of assistant professor (tenure-track)
<br />in one of the disciplines artificial intelligence/big data
<br />science/mathematical modelling
<br />
<br />All information about this open position can be found at
<br />https://edit.ugent.be/nl/vacatures/zap/voltijds-ambt-van-docent-tenure-
<br />track-in-het-vakgebied-artificiele-intelligentie-big-data-science-wiskundige-
<br />modellering/
<br />https://edit.ugent.be/en/work/vacancies/professorial-staff/full-time-position-
<br />as-professor-in-the-rank-of-assistant-professor-tenure-track-in-the-
<br />discipline-of-artificial-intelligence-big-data-science-ma\
<br />thematical-modelling/
<br />
<br />Application deadline is May 25 2016

<br /><br />-------------------------------------------------------

<br /><br />From: Etienne Emmrich <a href="malito:emmrich@math.tu-berlin.de">emmrich@math.tu-berlin.de</a>
<br />Date: April 22, 2016
<br />Subject: Professorship Position, Numerical Methods for PDEs, Tech Univ Berlin

<br /><br />Technische Universität Berlin calls for applications for a
<br />professorship (tenured, salary grade W3) in Mathematics,
<br />specialization in numerical methods for partial differential
<br />equations.
<br />
<br />The position requires research and teaching in the area of numerical
<br />methods for partial differential equations. Areas of research
<br />expertise of applicants should include but are not limited to:
<br />- Mathematical analysis of modern methods for the numerical
<br />  approximation of complex problems in PDEs;
<br />- Developing efficient and robust methods for solving PDEs;
<br />- Applications of PDEs in the natural and engineering sciences.
<br />
<br />Teaching will be required in all mathematical degree programs
<br />(including undergraduate) and in the service teaching of mathematics
<br />for other programs. Teaching requirements must be met in German and
<br />English. Candidates are expected to supervise students' theses on
<br />Bachelor, Master and PhD level as well as to participate in the
<br />academic administration of the university.
<br />
<br />More information can be found here:
<br />https://tub.stellenticket.de/de/offers/25065/
<br />

<br /><br />-------------------------------------------------------

<br /><br />From: Silvana Ilie <a href="malito:silvana@ryerson.ca">silvana@ryerson.ca</a>
<br />Date: April 22, 2016
<br />Subject: Postdoc Position, Computational Biology, Ryerson Univ

<br /><br />A postdoctoral position is available in Computational Biology in the
<br />Department of Mathematics, Ryerson University
<br />(http://www.math.ryerson.ca). The research will be led jointly by
<br />Dr. Silvana Ilie and Dr. Katrin Rohlf. This position provides an
<br />opportunity to engage in research in Applied Mathematics, with a
<br />limited amount of teaching.  The salary is competitive, with funding
<br />provided for one year.
<br />
<br />We are seeking qualified and motivated applicants in Applied
<br />Mathematics, to work on interdisciplinary projects aimed at developing
<br />stochastic modelling and simulation tools for studying biological
<br />systems.  The ideal candidate would have a strong background in
<br />Applied Mathematics (Numerical Analysis and Probability) and/or
<br />Computer Science.  Strong programming skills in Matlab are
<br />mandatory. In addition, experience with dynamical systems (ODEs and
<br />PDEs) is expected.  Knowledge of biological/chemical reaction modeling
<br />and stochastic simulation (temporal and spatio-temporal) is considered
<br />an asset.
<br />
<br />The fellowship is open to candidates of any nationality and selection
<br />will be based upon the candidate's research potential and teaching
<br />ability.  Ideally the job will begin on September 1, 2016, however
<br />there is some flexibility in the starting date.
<br />
<br />The screening process will start on May 19, 2016, and continue until
<br />the position is filled. Please note the position is advertised pending
<br />budgetary approval. Applicants should submit a curriculum vitae and
<br />three letters of recommendation. At least one of these letters should
<br />report on the candidate's teaching abilities. Application material and
<br />reference letters should be sent directly by e-mail to
<br />compbio@ryerson.ca
<br />
<br />We appreciate all replies to this advertisement, but only applicants
<br />under consideration will be contacted. Ryerson University has an
<br />Employment Equity Program and encourages applications from all
<br />qualified candidates, including aboriginal peoples, persons with
<br />disabilities, members of visible minorities, and women.
<br />

<br /><br />-------------------------------------------------------

<br /><br />From: Elisabeth Ullmann <a href="malito:elisabeth.ullmann@ma.tum.de">elisabeth.ullmann@ma.tum.de</a>
<br />Date: April 22, 2016
<br />Subject: Postdoc Position, Uncertainty Quantification, TU Munich

<br /><br />A postdoctoral research and teaching position in numerical and
<br />mathematical aspects of Uncertainty Quantification is open at the
<br />Department of Mathematics, TU Munich, Germany.
<br />
<br />Applications info and requirements are available at the link:
<br />https://www-m2.ma.tum.de/foswiki/pub/M2/Allgemeines/Ullmann/PostdocTUM.pdf
<br />
<br />For more info and details please contact elisabeth.ullmann@ma.tum.de

<br /><br />-------------------------------------------------------

<br /><br />From: Tiago Pereira <a href="malito:tiago@icmc.usp.br">tiago@icmc.usp.br</a>
<br />Date: April 20, 2016
<br />Subject: Postdoc Positions, Applied Industrial Mathematics

<br /><br />The Center for Mathematical Sciences Applied to Industry (CEPID-
<br />CeMEAI) a post-doc position available for starting immediately. The
<br />requirements for each of the positions are described below. The salary
<br />is R$ 6.819,30 (USD 2000,00) per month tax free. The appointed
<br />Post-doc will also get return travel from his/her country to Brazil
<br />paid by the grant.  The positions are initially for one year,
<br />renewable for a second year pending on suitable performance.
<br />
<br />The main goal of this project is to understand how changes in the
<br />coupling structure of a network can affect the overall function. Using
<br />synchronization as a paradigm of network function, we aim at
<br />understanding how spontaneous collective behavior can be destroyed or
<br />enhanced by such structural modifications. Recent results suggest that
<br />certain modifications can lead to synchronization loss despite the
<br />fact that they enhance topological properties of the network. This
<br />project develops a mathematical theory for this phenomenon, and it is
<br />divided into two objectives of increasing difficulty i) Classification
<br />of structures and links leading to synchronization loss, and ii)
<br />Effects of time-delays in the coupling structure. We will apply our
<br />theoretical results to experiments involving networks of electrical
<br />circuits and time-delayed lasers.
<br />
<br />The successful applicant will participate of a collaborative effort
<br />being developed by the Brazilian team headed by Dr. Tiago Pereira and
<br />a British team headed by Prof. Jeroen Lamb. A doctoral degree in
<br />Applied Mathematics, Engineering or a related area is required,
<br />together with strong background on Dynamical Systems in particular
<br />stability theory and synchronization. Candidates with proven skills in
<br />performing independent scientific research and in programming for
<br />high-performance computing environments will be preferred.
<br />

<br /><br />-------------------------------------------------------

<br /><br />From: Isabel M. Narra Figueiredo <a href="malito:isabelf@mat.uc.pt">isabelf@mat.uc.pt</a>
<br />Date: April 20, 2016
<br />Subject: Postdoc Positions, Univ of Coimbra

<br /><br />The Centre for Mathematics of the University of Coimbra (CMUC),
<br />Portugal, invites applications for three one-year Postdoctoral
<br />research grants, starting September 2016.
<br />
<br />The work will be related to CMUC's research (applied mathematics or
<br />pure mathematics).
<br />
<br />For more information see the announcement in the following address:
<br />http://www.eracareers.pt/opportunities/index.aspx?task=global&jobId=75274
<br />
<br />Application deadline: June 3, 2016.
<br />
<br />Contact for further information:
<br />Isabel M. Narra Figueiredo ( http://www.mat.uc.pt/~isabelf ).

<br /><br />-------------------------------------------------------

<br /><br />From: Nicola Guglielmi <a href="malito:guglielm@univaq.it">guglielm@univaq.it</a>
<br />Date: April 20, 2016
<br />Subject: PhD Position, Univ of L'Aquila

<br /><br />We announce one available PhD position at the University of L'Aquila,
<br />Italy, within the ITN project ModCompShock.
<br />
<br />The project ModCompShock (Modelling and Computation of Shocks and
<br />Interfaces) has been funded by the European Union among the
<br />Horizon2020 Action - EU Marie-Sklodowska-Curie Innovative Training
<br />Network (ITN) and provides an international and highly visible
<br />framework covering a wide range of conceptual expertise. This network
<br />is focused on the training of young researchers (ESRs) in the general
<br />area of nonlinear hyperbolic and convection dominated PDEs (HCD-PDEs)
<br />with emphasis on innovative modelling and computational methods.
<br />
<br />The candidate will be enrolled Ph.D. Course in Mathematics and
<br />Modeling of the Department of Information Engineering, Computer
<br />Science and Mathematics , University of L'Aquila, starting in October
<br />2016.  The position will be for three years, and a period of which has
<br />to be spent abroad at one of the partner universities in the ITN.  The
<br />candidate is hired as First stage researcher (R1), full-time
<br />employment contract, he will have social security coverage including
<br />access to the Public Health System.  He will receive a gross living
<br />allowance per year of 39820,00 Euro (including income tax and
<br />retirement pension contribution), a mobility allowance and a family
<br />allowance (depending on family status at the date of recruitment).
<br />
<br />Deadline: May 16th, 2016
<br />How to apply: http://www.univaq.it/en/section.php?id=1827
<br />

<br /><br />-------------------------------------------------------

<br /><br />From: Volker Schulz <a href="malito:volker.schulz@uni-trier.de">volker.schulz@uni-trier.de</a>
<br />Date: April 25, 2016
<br />Subject: PhD Positions, Algorithmic Optimization, Trier Univ, Germany

<br /><br />RTG 2126 (Graduiertenkolleg) Algorithmic Optimization
<br />
<br />The Research Training Group (RTG) Algorithmic Optimization, funded by
<br />the Deutsche Forschungsgemeinschaft (DFG), is accepting applications
<br />for several doctoral research positions (TVL 13, 75%) at the
<br />University of Trier for the period of 3 years, starting 1st July
<br />2016. The research topics are devoted to all mathematical aspects of
<br />algorithmic optimization with an emphasis on applications, in
<br />particular in large and big data as well as systems models from
<br />economics. The doctoral research positions do not involve teaching
<br />duties. Applicants must hold a MSc degree (or equivalent) in
<br />mathematics or a strongly related field at the time of hiring. They
<br />should be able to communicate in English and should document their
<br />interest in the scientific goals of the research program of the
<br />research training group (Graduiertenkolleg). Excellent programming
<br />skills are a plus.
<br />
<br />Applications should include: letter of motivation (no longer than 2
<br />pages); curriculum vitae; a recent letter of reference (in English or
<br />German) to be sent directly to the address given below; contact
<br />information of at least one additional reference; copies of earned
<br />degrees (in German or English translation); and a mathematical writing
<br />sample (preferably the master's thesis)
<br />
<br />We welcome applications from researchers of all nationalities. Trier
<br />University strives to increase the share of women in research and
<br />strongly encourages women to apply. Trier University is a certified
<br />family-friendly employer. Applicants with disabilities who are equally
<br />qualified will be favoured.
<br />
<br />Please include all application material in one pdf or zip-file and
<br />send it via e-mail to:
<br />Email: alop@uni-trier.de
<br />Subject: RTG ALOP
<br />
<br />For full consideration, applications must be received by May 6, 2016,
<br />however, late applications will be considered until the positions are
<br />filled. For more information see: http://www.alop.uni-trier.de and
<br />https://www.uni-
<br />trier.de/fileadmin/organisation/ABT3/Stellen_WissMitarbeiter/a20_16_WissMA_Grako_ALO
<br />P.pdf
<br />

<br /><br />-------------------------------------------------------

<br /><br />From: Michael Stich <a href="malito:m.stich@aston.ac.uk">m.stich@aston.ac.uk</a>
<br />Date: April 21, 2016
<br />Subject: PhD Positions, Aston Univ, UK

<br /><br />Aston University, School of Engineering and Applied Science offers
<br />three PhD Studentships (3 years).
<br />
<br />Applications are invited for three year Postgraduate studentships (3
<br />positions), supported by the School of Engineering and Applied
<br />Science, to be undertaken within the Nonlinearity and Complexity
<br />Research Group http://www.aston.ac.uk/ncrg and the System Analytics
<br />Research Institute
<br />http://www.aston.ac.uk/eas/research/groups/systems-analytics-research-institute/
<br />at Aston University.  The successful applicants will join an
<br />established group with international collaborations working on various
<br />aspects of complex systems. The positions are available to start by
<br />October 2016 (subject to negotiation).
<br />
<br />Topics are: (1) Disorder-induced superconductivity in quasi-1D
<br />strongly correlated systems. (2) Inverse problems in heat and fluid
<br />flow. (3) Time-delay feedback methods and their application in power
<br />electronic systems.
<br />
<br />This studentships include a fee bursary to cover the home/EU fees rate
<br />plus a maintenance allowance of £14,057 in 2015/16. Applicants from
<br />outside the EU may apply for this studentship but will need to pay the
<br />difference between the 'Home/EU' and the 'Overseas' tuition fees,
<br />currently this is £11,448.  As part of the application you will be
<br />required to confirm that you have applied for, or, secured this
<br />additional funding.
<br />
<br />For more information and online application, visit
<br />http://jobs.aston.ac.uk
<br />

<br /><br />-------------------------------------------------------

<br /><br />From: Lars Elden <a href="malito:lars.elden@liu.se">lars.elden@liu.se</a>
<br />Date: April 21, 2016
<br />Subject: Contents, BIT Numerical Mathematics, 56 (1)

<br /><br />Polynomial degree reduction in the discrete L2-norm equals best
<br />Euclidean approximation of h-Bezier coefficients, Rachid Ait-Haddou
<br />
<br />Linear differential operators on bivariate spline spaces and spline
<br />vector fields, Peter Alfeld and Tatyana Sorokina
<br />
<br />A parallel algorithm for calculation of determinants and minors using
<br />arbitrary precision arithmetic, Gleb Beliakov and Yuri Matiyasevich
<br />
<br />Numerical solution of singularly perturbed
<br />convection-diffusion-reaction problems with two small parameters,
<br />Pratibhamoy Das and Volker Mehrmann
<br />
<br />On the convergence of Q-OR and Q-MR Krylov methods for solving
<br />nonsymmetric linear systems, Jurjen Duintjer Tebbens and Gerard
<br />Meurant
<br />
<br />Reduced relative entropy techniques for a priori analysis of
<br />multiphase problems in elastodynamics, Jan Giesselmann and Tristan
<br />Pryer
<br />
<br />Functionally fitted Runge-Kutta-Nystrom methods, N. S. Hoang and
<br />R. B. Sidje
<br />
<br />A numerical method for SDEs with discontinuous drift, Gunther
<br />Leobacher and Michaela Szolgyenyi
<br />
<br />Estimates of the solution set for a class of elliptic problems with
<br />incompletely known data, O. Mali and S. Repin
<br />
<br />Multilevel hybrid Chernoff tau-leap, Alvaro Moraes, Raul Tempone and
<br />Pedro Vilanova
<br />
<br />Numerical methods for nonlinear two-parameter eigenvalue problems, Bor
<br />Plestenjak
<br />
<br />Multilevel Monte Carlo front-tracking for random scalar conservation
<br />laws, Nils Henrik Risebro, Christoph Schwab and Franziska Weber
<br />
<br />Improved error bounds for floating-point products and Horner's scheme,
<br />Siegfried M. Rump, Florian Bunger and Claude-Pierre Jeannerod
<br />
<br />On the definition of unit roundoff, Siegfried M. Rump and Marko Lange
<br />
<br />Regularization of DAEs based on the Signature method, Lena Scholz and
<br />Andreas Steinbrecher
<br />
<br />Trigonometric interpolation on lattice grids, Tor Sorevik and Morten
<br />A. Nome
<br />
<br />Estimating the error of Gaussian quadratures with simple and multiple
<br />nodes by using their extensions with multiple nodes, M. M. Spalevic
<br />and A. S. Cvetkovic
<br />
<br />Exponential Krylov peer integrators, Rudiger Weiner and Jurgen Bruder

<br /><br />-------------------------------------------------------
<br />End of Digest
<br />**************************
<br />
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