NA Digest, V. 17, # 3

NA Digest Thursday, February 02, 2017 Volume 17 : Issue 3


Today's Editor:

Daniel M. Dunlavy
Sandia National Labs
dmdunla@sandia.gov

Today's Topics: Subscribe, unsubscribe, change address, or for na-digest archives: http://www.netlib.org/na-digest-html/faq.html

Submissions for NA Digest:

http://icl.cs.utk.edu/na-digest/



From: Joseph Grcar jfgrcar@gmail.com
Date: January 24, 2017
Subject: Research Trends in NA


I have surveyed NA articles over the decade 2002 to 2012.

In that time, NA has increased from 6% to 9% of all math publications
annually. Hopefully the number of NA faculty also has increased by
50%!

All the growth in NA comes in just two areas: (1) computing for
statistics, and (2) computing for time-dependent partial differential
equations. American (USA) authors publish half the articles about (1)
computing for stat, followed by Chinese (PRC) authors and then
European (EU) authors. The order reverses for (2) computing for t-d
PDEs, where China and Europe each publish a quarter of the articles
followed by America with an eighth. Finally, the leading journals for
each topic are J. Stat. Plann. Inference and J. Comput. Phys.,
respectively.

The published survey is here:
http://dx.doi.org/10.1080/03610918.2015.1056356




From: Robert van de Geijn rvdg@cs.utexas.edu
Date: January 20, 2017
Subject: New MOOC on deriving algorithms to be correct


In the late 1990s, we wrote a number of papers on different algorithms
for the parallelization of important linear algebra operations. But
how did we find these new algorithms? The answer was that
(subconsciously) we derived families of algorithms, from which we then
picked the one that parallelized well. Instead of keeping the secret
sauce to ourselves, we made the process systematic and shared it with
undergraduates, graduate students, and seasoned HPC contributors.

We will offer a new Massive Open Online Course (MOOC) titled "LAFF- On
Programming for Correctness" to bring these techniques to a broad
audience. The seven week course is scheduled to start April 11.
Details can be found at
https://www.edx.org/course/laff-programming-correctness-
utaustinx-ut-p4c-14-01x.

LAFF-On builds upon almost two decades of research and development
into the systematic derivation and implementation of dense linear
algebra software as part of our FLAME project
(http://shpc.ices.utexas.edu), generously funded by a sequence of NSF
grants. Funding for this course is provided by MathWorks and the
National Science Foundation. Free access to MATLAB Online is also
graciously provided by MathWorks for the duration of the course.

We recommend that those who are less familiar with manipulating
matrices by submatrices, key to the systematic derivation of many
matrix computations, look at the first five weeks of ``Linear Algebra:
Foundations to Frontiers" (LAFF). This introductory linear algebra
MOOC is offered again on edX starting Jan 25:
https://www.edx.org/course/linear-algebra-
foundations-frontiers-utaustinx-ut-5-05x.




From: Kris Garrett ckgarrett@lanl.gov
Date: February 02, 2017
Subject: Student Cluster Competition at SC17, deadline Apr 2017


SC17 is excited to hold a fun, spirited Student Cluster Competition
(SCC), now in its eleventh year. The SCC is designed to introduce
undergraduate college and high school students to the challenge and
excitement of working in the high-performance computing (HPC) field,
and to introduce the next generation of students to the HPC
community. Over the years, the competition has drawn teams from across
the United States and around the world.

Teams of six undergraduate and/or high school students work with their
advisor and vendor partners to design and build a cutting-edge,
commercially available cluster constrained only by a 3000-watt power
limit. The competition itself is a nonstop, 48-hour competition, where
the teams assemble their HPC cluster on the SC17 exhibit floor and
race to complete a real-world workload across a series of applications
and impress HPC industry judges.

Team submission are due Friday Apr 7th, 2017 (Anywhere on Earth). You
can find more information about the competition, starting a team,
applicable rules, and applying at:
http://www.studentclustercompetition.us/

If you have any questions please contact us at:
student-cluster-competition@info.supercomputing.org or tweet @SCCompSC




From: Tzanio Kolev tzanio@llnl.gov
Date: February 01, 2017
Subject: MFEM version 3.3


Version 3.3 of MFEM, a lightweight, general, scalable C++ library for
finite element methods, is now available at http://mfem.org. The goal
of MFEM is to enable high-performance scalable finite element
discretization research and application development on a wide variety
of platforms, ranging from laptops to exascale supercomputers.

It has many features, including:
- 2D and 3D, arbitrary order H1, H(curl), H(div), L2, NURBS elements.
- Parallel version scalable to hundreds of thousands of MPI cores.
- Conforming/nonconforming adaptive mesh refinement (AMR), including
anisotropic refinement, derefenement and parallel load balancing.
- Galerkin, mixed, isogeometric, discontinuous Galerkin, hybridized,
and DPG discretizations.
- Support for triangular, quadrilateral, tetrahedral and hexahedral
elements, including arbitrary order curvilinear meshes.
- Scalable algebraic multigrid, time integrators, and eigensolvers.
- Lightweight interactive OpenGL visualization with the MFEM-based
GLVis tool.

Some of the new additions in version 3.3 are:
- Comprehensive support for the linear and nonlinear solvers,
preconditioners, time integrators and other features from the PETSc
and SUNDIALS suites.
- Linear system interface for action-only linear operators including
support for matrix-free preconditioning and low-order-refined spaces.
- General quadrature and nodal finite element basis types.
- Scalable parallel mesh format.
- Thirty six new integrators for common families of operators.
- Sixteen new serial and parallel example codes.
- Support for CMake, on-the-fly compression of file streams, and
HDF5-based output following the Conduit mesh blueprint specification.

MFEM is being developed in CASC, LLNL and is freely available under
LGPL 2.1. For more details, see the documentation at
http://mfem.org/examples and the full description at
http://bit.ly/295WMnz.




From: Jack Dongarra dongarra@icl.utk.edu
Date: January 21, 2017
Subject: PLASMA release


PLASMA 17.01 has been released.
This is the first release of PLASMA based solely on OpenMP
multithreading directives.

This release focuses on linear systems and least squares and includes:
linear systems solvers (LU, Cholesky); mixed precision iterative
refinement (LU, Cholesky); matrix norms (fast, multithreaded); full
set of multithreaded BLAS 3; matrix inversion (LU, Cholesky); least
squares with QR/LQ (including fast tall and skinny routines); band
linear solvers (LU, Cholesky). This release includes "support" for
the Knights Landing Xeon Phi (in reality, PLASMA works out of the box
on the KNL). In all 4 precisions, the current PLASMA contains: 115,000
lines of code, plus another 37,000 lines of testing code 400 API
functions Besides porting PLASMA from QUARK to OpenMP, the teams at
UTK/ICL and Manchester's NLAFET group also developed: new LU
factorization with internally blocked and multithreaded panel
factorization new QR/LQ factorization routines offering a couple of
different tree reduction patterns new mixed precision iterative
refinement routines - reimplemented to follow LAPACK's procedure new
matrix norms routines - reimplemented to allow for increased
multithreading band linear systems routines for LU and Cholesky
factorizations and solves new testing/timing harness - to allow for
easy inner/outer iteration over the parameter space new build system -
heavily borrowing from MAGMA new precision generation system - heavily
borrowing from MAGMA Thanks to all the people from UTK/ICL and
Manchester's NLAFET project for their hard work. Special thanks to
those who went beyond the call of duty to deliver new exciting
capabilities.

Get the code by cloning the Mercurial repository on Bitbucket: hg
clone ssh://hg@bitbucket.org/icl/plasma or by downloading the tarball:
https://bitbucket.org/icl/plasma/downloads?tab=tags

Stay in touch by joining the plasma-user forum:
https://groups.google.com/a/icl.utk.edu/forum/#!forum/plasma-user
(Apply to join group)




From: Martin Peters Martin.Peters@springer.com
Date: January 19, 2017
Subject: New Book, Encyclopedia of Applied and Computational Mathematics


This is an offer you cannot reject: A softcover edition of

Engquist (ed): Encyclopedia of Applied and Computational Mathematics
ISBN 978-3-662-52872-3, two volumes,

has just been published. The content is identical to the hardcover
edition published in the year 2015. Many NA digest readers will
qualify -- if you are a Springer book author, book contribution or
journal article author -- for the 40 per cent authors discount. See
https://www.springer.com/gp/help/discounts-for-authors/510 for
information on how to receive this discount.




From: GEORGE A ANASTASSIOU ganastss@memphis.edu
Date: January 24, 2017
Subject: New Book, Intelligent Comparisons II: Operator Inequalities And Approximations


Intelligent Comparisons II: Operator Inequalities And Approximations

This short monograph is regarding self adjoint operator well-known
named inequalities and approximation theory of Korovkin type both in a
Hilbert space environment. These are studied for the first time in the
literature, and chapters are self-contained and can be read
independently. An extensive list of references is given per
chapter. This concise monograph is suitable to be used in related
graduate classes and research projects. The book's results are
expected to find applications in many areas of pure and applied
mathematics. As such this monograph is suitable for researchers,
graduate students, and seminars of the above disciplines, also to be
in all science and engineering libraries. SPRINGER, ISBN:
978-3-319-51474-1 (Print) 978-3-319-51475-8 (Online)




From: Michael Overton mo1@nyu.edu
Date: January 25, 2017
Subject: Domain Decomposition (Honoring Olof Widlund), USA, Feb 2017


Olof B. Widlund, Silver Professor of Mathematics and Computer Science
at New York University, has recently retired after nearly 50 years as
a faculty member at the Courant Institute. A workshop on domain
decomposition will be held in New York on Feb 24-25, 2017, in honor of
Olof on this occasion. All are welcome to participate in this workshop
which will celebrate his many contributions in numerical analysis and
scientific computing, including advising 32 doctoral students. For
more information, please see http://cims.nyu.edu/conferences/olof-
retirement/index.html




From: Walter Gander gander@inf.ethz.ch
Date: January 20, 2017
Subject: Gene Golub Memorial Day, Hong Kong, Feb 2017


The CS and the Math Departments of the Baptist University in Hong Kong
organize on February 25, 2017 a Gene Golub Memorial Day. Speakers are
Franklin Luk, Michael Ng, Felix Kwok all HKBU, Dianne O'Leary,
University of Maryland (keynote), Tony Chan HKUST and Walter Gander,
ETH Zurich.

The program is available on http://www.comp.hkbu.edu.hk/golub/
Everybody is welcome to attend. No registration is necessary.




From: BCAM - BASQUE CENTER FOR APPLIED MATHEMATICS benitez@bcamath.org
Date: January 18, 2017
Subject: Quantitative Biomedicine for Health and Disease, Spain, Feb 2017


The Third Workshop on "Quantitative Biomedicine for Health and
Disease" will take place in BCAM -Bilbao on 21st and 22nd February
2017 to discuss recent investigations bringing the human health and
its pathologies onto the language and methods of quantitative
sciences, like mathematics and engineering. The main goal of this
workshop is to create cross talk between these two research fields,
and engage in a debate on the potential compatibilities, advantages
and disadvantages of one approach over the other in combination with
their potential to address important biomedical questions.

The third edition will focus on cardiac and brain modeling, and the
main lecturers will be: Oscar Camara Rey (U. Pompeu Fabra); Marina de
Tommaso (U. Bari); Adelaide de Vecchi (King's College); Luca Faes
(U. Trento); Jean Frederic Gerbeau (INRIA); Plamen Ivanov (Boston U.);
Daniele Marinazzo (U. Ghent); Pandelis Perakakis (U. Granada); Jose
Luis Pons (Inst. Cajal, CSIC); Mark Potse (U. Bordeaux); Javier Saiz
Rodriguez (U. Politecnica Valencia); Mariano Vazquez (Barcelona
Supercomputing Center).

Abstracts for short communications (20 minutes) can be submitted, in a
one-page .pdf format, by February 10th.

Registration: Inscription is required by email at qbio@bcamath.org.

For more information: http://www.bcamath.org/en/workshops/qbio2017




From: Ilse Ipsen ipsen@ncsu.edu
Date: January 28, 2017
Subject: SAMSI Statistics and Optimization, live-streaming, Feb 2017


Livestreaming SAMSI WISO workshop
February 8-10, 2017

The SAMSI Workshop on the Interface of Statistics and Optimization
brings together pioneers in statistics and optimization. In one-hour
lectures they will discuss the breadth and depth of advances,
computational challenges, and cutting-edge applications.

Speakers:
Larry Biegler (CMU), John Burns (Virginia Tech),
Jack Dongarra (Tennessee), Yonina Eldar (Technion),
Jianqing Fan (Princeton), Michael Jordan (UC Berkeley),
Arkadi Nemirovski (Georgia Tech), Alex Shapiro (Georgia Tech),
Bernd Sturmfels (UC Berkeley & MPI Leipzig),
Martin Wainwright (UC Berkeley), Margaret Wright (NYU Courant),
Steve Wright (Wisconsin)

The workshop will be live-streamed at http://www.samsi.info/opt-wiso
The final schedule is still under construction.



From: Jim Stewart jrstewa@sandia.gov
Date: February 01, 2017
Subject: UQ and Data-Driven Modeling, USA, Mar 2017


The USACM Thematic Workshop on Uncertainty Quantification and Data-
Driven Modeling will be held March 23-24 in Austin, TX. The purpose of
this workshop is to bring together leading experts and early-career
researchers in uncertainty quantification, statistics, computer
science, and computational science to discuss new research ideas in
data-driven modeling.

To register for the workshop and to reserve a hotel room at the
special block rate, visit the workshop website:
http://uqpm2017.usacm.org. The speakers have been confirmed and are
listed on the website. However, all attendees are invited to
contribute a poster.

We very much encourage the participation of postdocs and students, and
we have a limited number of travel grants available. To qualify, the
postdoc or student must present a poster. Applications for these
grants (due February 22, 2017) can be found on the website:
http://uqpm2017.usacm.org/travel_grant.




From: David Hewett d.hewett@ucl.ac.uk
Date: January 17, 2017
Subject: Wave propagation in complex domains, UK, Mar 2017


Wave propagation in complex domains
Thursday 30 March 2017
University College London

A one-day workshop on the mathematical analysis and numerical
simulation of wave propagation in complex domains. The workshop will
have a special focus on scattering problems involving non-Lipschitz
scatterers, including fractals.

Speakers: Timo Betcke (UCL); Annalisa Buffa (EPFL); James Christian
(Salford); Xavier Claeys (UPMC); David Hewett (UCL); Ralf Hiptmair
(ETH); Andrea Moiola (Reading); Euan Spence (Bath); Chris Westbrook
(Reading)

Registration is free. Limited travel funding is available for students
and young researchers without their own funding.

Further details:
https://www.ucl.ac.uk/~ucahdhe/WaveScatteringWorkshop.htm




From: Steffen Boerm sb@informatik.uni-kiel.de
Date: February 02, 2017
Subject: Winter School on Hierarchical Matrices, Germany, Apr 2017


We would like to announce the next winter school on hierarchical
matrices.

Date: 3rd to 7th of April 2017
Place: Kiel University, Kiel, Germany
Organizers: Wolfgang Hackbusch, Lars Grasedyck, Steffen Boerm

Hierarchical matrices offer an efficient approach to handling
non-local operators resulting, e.g., from the discretization of an
integral equation or the inversion of a partial differential
equation. They rely on a decomposition of a matrix into sub-matrices
of low numerical rank that can be represented in factorized
form. Using this representation, we can perform operations like the
matrix-vector multiplication, matrix multiplication, inversion,
factorization, or the evaluation of matrix functions or the solution
of certain matrix equations in almost linear complexity.

The winter school is split into two parts: lectures present the
fundamental concepts and algorithms, while practical exercises allow
the participants to experience the methods first-hand and discuss
specific questions and applications with experts in the field.

Participation is free of charge. Please address questions and
registration requests to school@hmatrix.org



From: Iain Smears iain.smears@inria.fr
Date: January 25, 2017
Subject: A Posteriori Error Analysis and Adaptivity, France, May 2017


We are pleased to announce a workshop on A POSTERIORI ERROR ANALYSIS,
ADAPTIVITY AND ADVANCED APPLICATIONS, to be held on Thursday 4th May
and Friday 5th May 2017, at the Inria Paris research centre in
Paris. The core topics include a posteriori error estimation and
adaptive methods for nonlinear partial differential equations and
evolutionary problems, for a broad range of numerical methods
including high-order methods. For the full details on the workshop, we
invite you to look at our dedicated webpage
https://project.inria.fr/gatipor/events/workshop/ where you may find a
list of speakers and some further information.

Registration is free but compulsory, and it gives access to the talks
and coffee breaks. You may register directly by emailing your name and
institution to the organisers at
organisers_aposterioriworkshop2017@inria.fr




From: Andreas Veeser andreas.veeser@unimi.it
Date: February 01, 2017
Subject: European Finite Element Fair, Italy, May 2017


The European Finite Element Fair (EFEF) is an annual series of
completely informal small workshops throughout Europe.

The 15th edition will take place in Milan, Italy, on May 26-27, 2017.

Please visit
http://www.mat.unimi.it/users/efef2017/
for further information.



From: Elise DE DONCKER elise.dedoncker@wmich.edu
Date: January 23, 2017
Subject: Large Scale Computational Physics, Switzerland, Jun 2017


Authors are invited to submit original contributions to the Workshop
on Large Scale Computational Physics (LSCP) 2017, organized in
conjunction with the International Conference on Computational Science
(ICCS) (http://www.iccs-meeting.org), which is held in Z\374rich,
Switzerland, 12-14 June, 2017.

Scope. The LSCP workshop will focus on symbolic and numerical methods
and simulations, algorithms and tools (software and hardware) for
developing and running large-scale computations in physical sciences.
Special attention will go to parallelism, scalability and high
numerical precision. System architectures are also of interest as long
as they are supporting physics related calculations, such as:
massively parallel systems, GPUs, many-integrated-cores, distributed
(cluster, grid/cloud) computing, and hybrid systems. Topics will be
chosen from areas including: theoretical physics (high energy physics,
nuclear physics, astrophysics, cosmology, quantum physics, accelerator
physics), plasma physics, condensed matter physics, chemical physics,
molecular dynamics, bio-physical system modeling, material
science/engineering, nanotechnology, fluid dynamics, complex and
turbulent systems, climate modeling.

Proceedings. Accepted papers will be printed in the ICCS conference
proceedings published by Elsevier Science in the open-access Procedia
Computer Science series.

Deadlines: Paper submission: 17th February, 2017; Author notification:
10th March, 2017; Camera ready papers: 31st March , 2017




From: Norbert Heuer nheuer@mat.uc.cl
Date: January 18, 2017
Subject: Santiago Numerico III, Chile, Jun 2017


SANTIAGO NUMERICO III
9th Meeting on Numerical Analysis of Partial Differential Equations
June 28-30, 2017
Pontificia Universidad Catolica de Chile, Santiago, Chile

This is the Ninth Meeting on Numerical Analysis of Partial
Differential Equations in Chile. The workshop is open to all
researchers working or interested in the field, and you are invited to
contribute a presentation on your current work. There are no parallel
sessions, i.e., the number of speakers is limited.

Invited speakers are
Tan Bui-Thanh, Austin, TX, USA
Erik Burman, London, UK
Jens Markus Melenk, Vienna, Austria
Serge Nicaise, Valenciennes, France
Maxim A. Olshanskii, Houston, TX, USA
Ivan Yotov, Pittsburgh, PA, USA

website: http://www.ci2ma.udec.cl/SN-III
contact: mailto:sn3@ci2ma.udec.cl
deadline for registration: April 31, 2017




From: Andre Massing andre.massing@umu.se
Date: January 18, 2017
Subject: eXtended Discretization MethodS, Sweden, Jun 2017


The ECCOMAS thematic and IACM special interest conference on "eXtended
Discretization MethodS (X-DMS 2017)" will be held on 19-21 June 2017
in Umea, Sweden, see http://www.xdms2017.org for more
information. Please note that for organizational reasons, our official
website has been moved to a new provider/new website.

ABSTRACT SUBMISSIONS: Upon popular request, the deadline for
submission of abstracts has been extended until February 5, 2017.
Instructions including LaTeX and Word templates can be found following
the "Abstract submission" entry in the navigation menu or via the
direct link

http://www.trippus.se/web/Presentation/web.aspx?evid=6+bdyyyhjv/oiEYyTHpfVg==&ecid=BwQltcox94Qo5Lj5MB7OwA==&ln=eng&emid=aCvQaTb6AAQiIRmPGBep6A==&view=infopage&template=desktop

You can find an overview over all organized minisymposia by following
the "Minisymposia" entry in navigation menu on xdms2017.org or via the
direct link

http://www.trippus.se/web/Presentation/web.aspx?evid=6+bdyyyhjv/oiEYyTHpfVg==&ecid=BwQltcox94Qo5Lj5MB7OwA==&ln=eng&emid=C4mlVd0qACb2koYKwM1GJQ==&view=infopage&template=desktop

Please contact the conference organizers at xdms2017@sciencesconf.org
if you have any questions concerning the conference.




From: David Chappell david.chappell@ntu.ac.uk
Date: January 31, 2017
Subject: Boundary Integral Methods, UK, Jul 2017


UKBIM11: The 11th UK Conference on Boundary Integral Methods
10th-11th July 2017, Nottingham, UK
http://nottinghamconferences.net/ukbim/

Mathematicians, scientists and engineers who are interested in the
theory and application of boundary integral methods are invited to
submit papers relating to all aspects of boundary integral methods for
presentation at the conference.

The deadline for the submission of abstracts has been extended to
Monday 13th February 2017.

More information can be found on the conference website
http://nottinghamconferences.net/ukbim/

For general enquiries please e-mail: bimowave@ntu.ac.uk




From: Sebastien Le Digabel Sebastien.Le.Digabel@gerad.ca
Date: January 30, 2017
Subject: EUROPT 2017, Canada, Jul 2017


The 15th EUROPT Workshop on Advances in Continuous Optimization will
be held in Montreal, Quebec, Canada, on July 12-14, 2017:
https://www.gerad.ca/colloques/europt2017/

The EUROPT Workshop on Advances in Continuous Optimization is the
annual event of the EUROPT continuous optimization working group of
EURO (The Association of European Operational Research Societies).
This 15th edition will take place in Montreal just before the 21st
IFORS conference that will be held in Quebec City. The workshop will
take place during Montreal's 375th anniversary
celebrations. Activities and special events are advertised at
http://www.375mtl.com/en/programming/

Plenary Speakers: Shabbir Ahmed (Georgia Institute of Technology,
U.S.A.); Timothy C.Y. Chan (University of Toronto, Canada); Francisco
Facchinei (University of Rome La Sapienza, Italy)

Special Sessions In Memoriam: The scientific program will include
special sessions in memory of Jonathan M. Borwein, Roger Fletcher, and
Christodoulos A. Floudas.

Abstract Submission is online and is already open at
https://symposia.gerad.ca/europt2017/en/submit

Abstract submission deadline: *** March 15, 2017 ***
Abstract acceptance: March 31, 2017
Early bird registration deadline: May 1st, 2017

Please see the workshop webpage
https://www.gerad.ca/colloques/europt2017/ for more information.




From: David Chappell david.chappell@ntu.ac.uk
Date: January 17, 2017
Subject: Innovations in Wave Modelling, UK, Jul 2017


InnoWave 2017: Innovations in Wave Modelling 2017
12th-14th July 2017, Nottingham, UK
http://nottinghamconferences.net/innowave/

Call for abstracts:

Mathematicians, scientists and engineers who are interested in the
theory and application of numerical modelling tools for complex wave
dynamics are invited to submit an abstract for a contributed talk at
InnoWave 2017. The deadline for the submission of abstracts is Friday
3rd March 2017. The conference is sponsored by the EU through the
Marie Skiodowska-Curie Industry-Academia Partnerships and Pathways FP7
grant Mid-to-High Frequency Modelling of Vehicle Noise and Vibration
(MHiVec), and will include a number of invited plenary talks as
detailed on the conference website.

More information can be found on the conference website
http://nottinghamconferences.net/innowave/

For general enquiries please e-mail: bimowave@ntu.ac.uk




From: Andrea Walther andrea.walther@uni-paderborn.de
Date: January 31, 2017
Subject: Conference on Optimization, Germany, Sep 2017


We would like to draw your attention to the 18th French-German-Italian
Conference on Optimization being held at Paderborn University,
Germany, on September 25th-28th, 2017.

The conference will address all aspects of optimization and its
applications, including optimization theory and algorithm design,
robust and stochastic optimization, variational inequalities and
convex analysis as well as applications in control theory, energy,
finance, operations management and engineering. More information about
the conference series, which started in Oberwolfach in 1980, can be
found at https://math.uni-paderborn.de/fgi-2017/

Enquiries can also be sent to fgi2017@math.upb.de

In addition to contributed talks, the programme committee of FGI 17
strongly supports the organization of minisymposia dedicated to
specific topics of interest, and organized by individuals who are well
positioned within the respective fields. A minisymposium comprises
four talks, each with a 30 minutes slot (including
discussion). Prospective minisymposium organizers are asked to send a
proposal consisting of a title and a description (not to exceed 150
words), as well as contact information to fgi2017@math.upb.de

Deadlines
30 Jan '17: Extended abstract submission opening
30 Apr '17: Submission deadline for abstracts
12 Jun '17: Notification of abstract acceptance
1 Jul '17: Early registration deadline




From: Miguel Constantino mfconstantino@fc.ul.pt
Date: February 01, 2017
Subject: Optimization 2017, Portugal, Sep 2017


Optimization 2017
Lisboa, Portugal, September 6-8, 2017
School of Sciences, University of Lisboa

Optimization 2017 is the ninth edition of a series of Optimization
international conferences held every three or four years, in Portugal.
This meeting aims to bring together researchers and practitioners from
different areas and with distinct backgrounds, but with common
interests in optimization. This conference series has international
recognition as an important forum of discussion and exchange of ideas,
being organized under the auspices of APDIO (the Portuguese Operations
Research Society).

In this edition, we feel honored to celebrate the 60th anniversary of
our dear colleague Luis Gouveia (Univ. of Lisbon).

Confirmed plenary speakers: Immanuel Bomze, Marco Campi, Donald
Goldfarb, Jacek Gondzio, Martine Labbe, Giovanni Rinaldi

Deadline for abstract submission - May 15, 2017
Notification of acceptance - June 15, 2017
Early registration - before June 30, 2017

Additional information regarding registration, contributed talks,
deadlines, and accommodation will be available from the conference web
site: http://optimization2017.fc.ul.pt

For any questions regarding Optimization 2017, please contact:
opt2017@fc.ul.pt




From: Karen Lewis karen.lewis@nag.co.uk
Date: January 19, 2017
Subject: Developer Position, Mathematical Optimization, Oxford/Manchester UK


The Numerical Algorithms Group (NAG) provides expertise in numerical
engineering, by delivering high-quality computational software,
consulting services and high performance computing services. For over
four decades NAG have collaborated with world software, consulting
services and high performance computing services. For over four
decades NAG have collaborated with world-leading researchers in
academia and industry to create powerful, reliable and flexible
software covering not only a wide range of optimization solvers but
also statistics, linear algebra and other areas of mathematics. This
software is relied on by tens of thousands of individual users, as
well as numerous independent software vendors. NAG leading researchers
in academia and industry to create powerful, reliable and flexible
software covering not only a wide range of optimization solvers but
also statistics, linear algebra and other areas of mathematics. This
software is relied on by tens of thousands of individual users, as
well as numerous independent software vendors. NAG's customers come
from a wide range of areas including mathematical finance, energy,
engineering, manufacturing, the life sciences and education. As a
not-for-profit company, NAG reinvests surpluses into the
research and development of its products, services, staff staff and
its collaborations.

NAG is seeking a developer of mathematical optimization software to
joi join its optimization development team.

The role will be located in Oxford, UK (preferable) or alternatively
Manchester, UK. Remuneration will be commensurate with your experience
and skills. NAG offers many benefits to its employees, including an
excellent pension scheme, private health insurance, generous holiday
allocation and flexible working. A more comprehensive list can be
found here: http://www.nag.co.uk/content/nag-employee-benefits-uk If
you have the skills that the team is looking for, and want to be make
a difference to NAG's on-going mission to advance the use of
mathematical optimization, please send us your CV/resume with a c
covering letter of application to careers@nag.co.uk The closing date
for applications is 28th February 2017, the closing date may be
extended if the right candidate isn't found. Applicants should state
clearly that they are currently eligible to work in t the United
Kingdom without obtaining any additional permit or a authorisation.




From: Karen Lewis karen.lewis@nag.co.uk
Date: January 19, 2017
Subject: Vacancy Software Accelerator Engineer, Oxford/Manchester UK


The Numerical Algorithms Group (NAG) provides expertise in numerical
engineering, by delivering high-quality computational software,
consulting services and high performance computing services. For over
four decades NAG have collaborated with world-leading researchers in
academia and industry to create powerful, reliable and flexible
software covering a broad range of mathematics and statistics. This
software is relied on by tens of thousands of individual users, as
well as numerous independent software vendors. NAG leading researchers
in academia and industry to create powerful, reliable and flexible
software covering a broad range of mathematics and statistics. This
software is relied on by tens of thousands of individual users, as
well as numerous independent software vendors. NAG's customers come
from a wide range of areas including mathematical finance, energy,
engineering, manufacturing, the life sciences and education. As a
not-for-profit company, NAG reinvests sur surpluses into the research
and development of its products, services, sta staff and its
collaborations. NAG is looking to recruit an Accelerator Software
Engineer to join its wo worldwide team of technical experts. The
successful candidate will ha have experience developing software that
runs on GPUs and, ideally, ot other types of accelerator, and will
undertake a mixture of projects. Th These will include delivering
services to NAG customers, developing ex existing and new NAG
products, and supporting our sales and ma marketing activities.
Although based in one of our UK offices, the role wi will involve
travel to customer sites, conferences and trade shows, both na
nationally and internationally.

The successful candidate will have the following: A degree in a
mathematical, scientific or computer science. Programming experience
in CUDA and OpenMP. An appreciation of good practice in software
engineering. Willingness to work in a geographically distributed team
and to t travel nationally and internationally as required. Good
presentation skills (both spoken and written).

Additional, desirable qualities could include some of the following:
Experience programming Xeon Phi systems. Experience with OpenCL.
Experience with MPI or other parallel programming paradigms.
Experience programming in Fortran, C, C++, Python or Java. Knowledge
of numerical analysis. Knowledge of mathematical finance.

Please send a CV to careers@nag.co.uk.




From: Alex Pothen apothen@purdue.edu
Date: January 29, 2017
Subject: Faculty Position, Optimization, Purdue Univ


We are looking for a faculty member in large-scale optimization in the
computer science department at Purdue University. The successful
candidate is expected to work with a multi-disciplinary cluster of
faculty on research issues related to Next Generation Manufacturing.
Purdue University has identified Next Generation Manufacturing as a
major thrust for cross-disciplinary research and education. Our effort
is in consonance with the national initiative to re-invigorate
American manufacturing industry, stimulate economic development, and
accelerate innovation. We are currently accepting applications for
tenure-track and tenured positions at the Assistant/Associate/Full
Professor levels in areas related to next generation manufacturing and
enabling methodologies. This effort builds on Purdue's core strengths
in the Colleges of Engineering and Science, the Purdue Polytechnic
Institute, the Krannert School of Management, and Discovery Park, and
leverages its participation in federal manufacturing initiatives. We
invite applications from candidates with research and teaching
interests aligning with this initiative. Specific research fields of
interest in the cluster include i) large-scale optimization; ii)
cyber-enabled experimentation; iii) multi-scale predictive modeling,
among others. Successful candidates will join a strong manufacturing
faculty group on campus, and will have a unique opportunity to help
shape Purdue's vision and research/education agenda in manufacturing.
Candidates must hold a Ph.D. or equivalent degree in a field of
Science, Engineering, Management, Technology or areas related to
manufacturing. They should have a distinguished academic record,
exceptional potential for world-class research, and a commitment to
teaching and collaborative interdisciplinary activities. The
successful candidates will conduct original research, will advise
graduate students, will teach undergraduate and graduate level
courses, and will perform service both at the School and University
levels. Candidates with experience working with diverse groups of
students, faculty, and staff and the ability to contribute to an
inclusive climate are particularly encouraged to apply. The primary
faculty appointment will be in the Colleges of Engineering or Science,
or the Purdue Polytechnic Institute, or the Krannert School of
Management, and will depend on the candidate's qualifications;
cross-department/school/college appointments are anticipated. Submit
applications online at
https://engineering.purdue.edu/Engr/AboutUS/Employment/Applications,
including curriculum vitae, teaching and research plans, and names of
four references. For information / questions regarding applications
contact the Office of Academic Affairs, College of Engineering at
coeacademicaffairs@purdue.edu. Review of applications will begin
immediately, and will continue until positions are filled. A
background check will be required for employment in this position.




From: Bo Kagstrom bokg@cs.umu.se
Date: January 24, 2017
Subject: Professor Position, High Performance Computing, Umea Univ, Sweden


Umea University welcomes applications for a permanent position as full
Professor in High Performance Computing at the Department of Computing
Science. We are seeking a strong academic leader with a clear
strategic vision, that will have an important role and large freedom
in developing the area of HPC at the department. The position includes
research (at least 75% of full-time during the first six years of
employment) as well as teaching and supervision at undergraduate,
graduate and postgraduate level. Collaboration with or an active role
in leadership within the High Performance Computing Center North
(HPC2N, www.hpc2n.umu.se ), is also an opportunity. Link to complete
add: http://umu.mynetworkglobal.com/what:job/jobID:127859/

A high-profile extreme-scale computing research project funded by the
European Commission within the Future and Emerging Technologies (FET)
program under Horizon 2020 is NLAFET (www.nlafet.eu ). For further
information contact Head of Department Pedher Johansson
(pedher@cs.umu.se) or Professor Bo Kagstrom (bokg@cs.umu.se).





From: Fran Moshiri fran@rice.edu
Date: January 17, 2017
Subject: Tenure-Track Position, Rive Univ


Department of Computational and Applied Mathematics (CAAM)
Rice University

The Department of Computational and Applied Mathematics
(www.caam.rice.edu) at Rice University in Houston, Texas, seeks
outstanding candidates for a tenure-track professorship beginning
January 1, 2018 or later. Candidates at the associate professor level
are preferred, although outstanding candidates at the assistant level
will be considered. The Department offers an excellent research
environment and hosts research programs in optimization, numerical
linear algebra, control and inverse problems, numerical methods for
partial differential and integral equations, and large scale
computing. Interdisciplinary work is a fundamental aspect of the
Department's program. Preference will be given to candidates who are
engaged in at least one of the following areas: (i) applied
analysis/inverse problems; (ii) data-driven decision making/numerical
optimization; and (iii) numerical linear-multilinear algebra/solvers.
Candidates must have a PhD in Applied Mathematics or a related field,
in addition to an exceptional record of research and teaching in
Applied Mathematics. Applications consisting of a letter of
application, current curriculum vitae containing a list of
publications, a description of research, and a statement on teaching
should be submitted via the website www.MathJobs.Org. In addition,
candidates should arrange for at least three letters of
recommendations, which may be submitted on the same website. To
receive full consideration, the complete application must be received
by March 15, 2017, but the committee will continue to accept
applications until the position is filled.

Equal Opportunity Employer: Females / Minorities / Veterans / Disabled
/ Sexual Orientation / Gender Identity.




From: Markus Schmuck M.Schmuck@hw.ac.uk
Date: January 17, 2017
Subject: Research Associate Position, Complex Heterogeneous Multiphase Systems


Transport and Reactions in Complex Heterogeneous Multiphase Systems

Summary: The goal of this project is to develop a reliable,
theoretical, and computational framework for transport and reactions
in Complex Heterogeneous Multiphase Systems (CHMSs) based on
mathematical, physical, and thermodynamic principles.

The project consists of two main Themes with cross-linking throughout:
1. Modelling and analysis of novel eff computational analysis as well
as optimization of CHMSs with the goal of reducing material costs and
of increasing longevity by a novel and general computational
multiscale framework. As a consequence, the results from the proposed
work shall guide experiments for gaining fundamental understanding of
the underlying chemical, physical, and thermodynamic processes but
shall ultimately recommend new design rules, materials, geometries,
processes and operation strategies, as well as novel measurement
techniques. Finally, this project builds the fundamental basis for the
subsequent theoretical and computational investigation of random CHMSs
which naturally occur in many applications. Collaborations: The
project is expected to foster national and international
collaborations with Imperial College (London), ETH (urich), Simon
Fraser University (Vancouver), University of Alberta, and Educational
background: We are looking for a Research Associate with a PhD in
Mathematics (Analysis, Probability, Numerics & Computations),
Computational Science, or any other equivalent field. Interested
candidates should be enthusiastic to learn and understand new concepts
and preferably have a fundamental understanding in one or more of the
following fields: analysis, electrochemistry/thermodynamics & physics,
finite element methods (preferably with experience with Python), and
probability theory.

Project duration, funding source, and research group: This project is
fully funded for 15 months by EPSRC and Heriot-Watt
University. Opportunities for extending the contract beyond the 15
months are anticipated in another EPSRC or collaborative
grants/projects. A Ph.D. project is closely linked to this
research. There are two more Ph.D. students in the group which are
part of the Maxwell Institute Graduate School in Analysis and its
Applications. If you are interested, please contact me (Dr. Markus
Schmuck) by email (M.Schmuck@hw.ac.uk), and send your application as a
pdf file (CV, motivation letter, BSc, MSc, and PhD theses, three
recommendation letters, and brief research statement outlining your
future interests) until April 24, 2017. For additional information
about the group, see http://www.macs.hw.ac.uk/~ms713/index.html.





From: Stig Larsson stig@chalmers.se
Date: February 02, 2017
Subject: Postdoc Position, Applied Math and Statistics, Chalmers Univ


The Department of Mathematical Sciences at Chalmers University of
Technology and University of Gothenburg invites applications for a
postdoctoral position in Applied Mathematics and Statistics:

http://www.chalmers.se/en/about-chalmers/vacancies/?rmpage=job&rmjob=4740

Closing date: 2017-02-27




From: Bubacarr Bah bubacarr@aims.ac.za
Date: January 25, 2017
Subject: Postdoc Position, Data Science, AIMS-South Africa


The African Institute for Mathematical Sciences (AIMS) - South Africa,
is searching for a postdoc in Data Science, see
https://www.aims.ac.za/en/opportunities/postdoctoral-fellow-in-data-science



From: Michael Bader bader@in.tum.de
Date: January 22, 2017
Subject: Postdoc Position, Exascale Software for Hyperbolic PDE Solvers


PostDoc position: Exascale Software for Hyperbolic PDE Solvers (at
Technische Universitat Munchen, University of Trento and Durham
University)

ExaHyPE (www.exahype.eu) is a project funded by the European Horizon
2020 initiative. ExaHyPE's mission is to develop a novel simulation
engine for hyperbolic PDE problems at exascale. Within the four-year
project period, we tackle grand-challenge simulations in Seismology
and Astrophysics. The underlying simulation engine will be based on
high-order discontinuous Galerkin discretization on dynamically
adaptive Cartesian grids.

To strengthen our project team, we are looking for a postdoc
researcher to coordinate the project's joint research, software
development and outreach. We offer an exciting perspective of
early-career research in an excellent international environment:
ideally, the project coordinator will work at all involved research
groups - at Technical University of Munich, Durham University and
University of Trento.

We are looking for an individual with strong expertise in the
development of simulation software for latest supercomputing hardware,
ideally also having experience with high-order finite-element or
finite-volume-type methods for hyperbolic PDE systems.

Applications will be considered until the positions are filled.
Please send your application to the ExaHyPE team (preferably as a
single PDF document, to bader@in.tum.de). The position is open
immediately and scheduled to run until September 2019.




From: Daniele Di Pietro daniele.di-pietro@umontpellier.fr
Date: January 25, 2017
Subject: Postdoc Positions, NA, Alexander Grothendieck Institute in Montpellier


The Alexander Grothendieck Institute in Montpellier (IMAG,
http://imag.edu.umontpellier.fr) has an opening for a postdoctoral
researcher in Numerical Analysis. The goal is to extend the recently
developed Hybrid High-Order technology [1,2] to advanced problems in
fluid mehcanics.

The successful candidate has a Ph.D. in Applied Mathematics or related
subjects and a strong theoretical background on standard and new
generation discretization methods for PDEs. Implementation and
numerical testing on scientific platforms will also be required.

The initial duration of the post-doc is 12 months. Should the obtained
results exceed the expectations, a prolongation may be envisaged. To
apply, please send a CV including a full list of publications along
with a motivation letter to Daniele A. Di Pietro
(daniele.di-pietro@umontpellier.fr). This address can also be used
for inquiries.

[1] D. A. Di Pietro, A. Ern, and S. Lemaire, An arbitrary-order and
compact- stencil discretization of diffusion on general meshes based
on local reconstruction operators, Comput. Meth. Appl. Math., 2014,
14(4):461- 472. DOI: 10.1515/cmam-2014-0018

[2] D. A. Di Pietro and A. Ern, A hybrid high-order locking-free
method for linear elasticity on general meshes,
Comput. Meth. Appl. Mech. Engrg., 2015, 283:1-21. DOI:
10.1016/j.cma.2014.09.009




From: Bernie J. Daigle, Jr. bjdaigle@memphis.edu
Date: January 18, 2017
Subject: MS/PhD Position, Bioinformatics and CompBio, Univ of Memphis


Supervisor: Dr. Bernie Daigle, Jr., Assistant Professor, Departments
of Biological Sciences and Computer Science

Assistantships are available for students interested in pursuing a
Master's or Ph.D. in bioinformatics and/or computational biology. In
the first area, active research projects in my lab involve mining
publicly available biological datasets to facilitate the
characterization and classification of human disease. Specifically, we
are interested in developing more effective supervised and
unsupervised machine learning approaches for high-throughput data,
using models such as Bayesian networks and artificial neural
networks. In the second area, our research involves developing
computational methods for inferring the underlying structure and
behavior of biological systems. Recent work by our lab in this area
includes combining stochastic simulation and optimization techniques
to characterize promoter architecture from single-cell gene expression
data. More information can be found at http://daiglelab.org.

The successful candidate should be highly motivated and have some
computer programming experience (R, MATLAB, Perl, Python, C, or C++).
Prior research experience in bioinformatics and/or computational
biology is desirable. Details about admission and degree requirements
can be found at http://www.memphis.edu/bioinformatics/requirements
(MS, Bioinformatics) and http://www.memphis.edu/biology/graduate
(MS/PhD, Biological Sciences). Applicants must apply to both The
University of Memphis Graduate School and the corresponding graduate
program. To ensure full consideration, applications should be
completed by February 15. Accepted students will be supported through
a graduate assistantship.

If interested, please contact Dr. Daigle (bjdaigle@memphis.edu) for
further information.




From: Markus Schmuck M.Schmuck@hw.ac.uk
Date: January 17, 2017
Subject: PhD Positio, Modelling, Analysis, and Computation of Complex Systems


PhD Project: Transport and Reactions in Complex Heterogeneous
Multiphase Systems

Summary: The goal of this project is to systematically and reliably
derive a framework for transport and reactions in Complex
Heterogeneous Multiphase Systems (CHMSs) based on mathematical,
physical, and thermodynamic principles.

The project consists of two main Themes with cross-linking throughout:
1. Modelling and analysis of CHMSs such as deriving novel effthe
systematic and predictive theoretical and computational analysis as
well as optimization of CHMSs with the goal of reducing material costs
and of increasing longevity by a novel and general computational
multiscale framework. As a consequence, the results from the proposed
work shall guide experiments for gaining fundamental understanding of
the underlying chemical, physical, and thermodynamic processes but
shall ultimately recommend new design rules, materials, geometries,
processes and operation strategies, as well as novel measurement
techniques. Finally, this project builds the fundamental basis for the
subsequent theoretical and computational investigation of random CHMSs
which naturally occur in many applications.

Educational background: We are looking for a PhD student in
Mathematics (Analysis, Probability, Numerics & Computations),
Computational Science, or any other equivalent field. Interested
candidates should be enthusiastic to learn and understand new concepts
and preferably have a fundamental understanding in one or more of the
following fields: analysis, electrochemistry/ thermodynamics &
physics, finite element methods (preferably with experience with
Python), and probability theory.

Project duration, funding source, and research group: The PhD project
is funded by a prestigious James Watt scholar ship. This
Ph.D. position is closely linked to a EPSRC funded project and to an
industrial partner (Denchi Power Ltd). There will be a postdoc and two
more Ph.D. students in the group which is part of the Maxwell
Institute with its own Graduate School in Analysis and its
Applications (MIGSAA).

If you are interested, please contact me (Dr. Markus Schmuck) by email
(M.Schmuck@hw.ac.uk), and send your application as a pdf file (CV,
motivation letter, BSc and MSc theses, three recommendation letters,
and a brief research statement outlining your future interests) until
February 4, 2017. For additional information about the group, see
http://www.macs.hw.ac.uk/~ms713/index.html. The successful candidate
will be based at the Maxwell Institute and the School of Mathematical
and Computer Sciences at Heriot-Watt University.





From: Gunthher Reissig gunther2014@reiszig.de
Date: January 26, 2017
Subject: PhD Position, Formal methods in control, Munich, Germany


We invite applications for a doctoral researcher position in the field
of formal methods in control.

Required qualifications:
- MSc degree (or equivalent, giving access to doctoral studies) in
Electrical Engineering, Mathematics, Computer Science, or a related
field. Students about to complete their MSc will also be considered.
- Excellent academic record, showing a strong theoretical/mathematical
background and a strong interest in dynamical systems.
- Proficiency in programming (C or Ada/SPARK).
- Excellent communication skills in English (CEFR level C1).

For details, see:
http://www.reiszig.de/gunther/Jobs/index.html

Priv.-Doz. Dr. habil. Gunther Reissig
http://www.reiszig.de/gunther/

University of the Armed Forces Munich, Germany
Department of Aerospace Engineering
Institute of Control Engineering
The position is open to applicants worldwide; no special security
clearance necessary.




From: Alessandro Sbrizzi a.sbrizzi@umcutrecht.nl
Date: January 31, 2017
Subject: PhD Position, Univ Medical Center, Utrecht, The Netherlands


Job description Dynamic magnetic resonance imaging (MRI) is
increasingly used in applications where motion/deformation fields are
most important. The project "3D MRI Action Camera", on which you will
be working, directly targets the transformation of the moving anatomy
over time. Using this principle, the 3D motion field can be directly
reconstructed from minimal MRI data and numerical tests indicate that
obtaining fifty 3D frames per second is possible; a much higher
temporal scale than standard techniques. You will be responsible for
applying the 3D MRI Action Camera in realistic in-vivo and more
sophisticated scenarios. This challenging task will include designing
better data acquisition strategies, robust (nonlinear) reconstruction
algorithms and experimental implementation on clinical MRI
scanners. The synergy between Mathematics and MRI Physics will be
fundamental. The project will be carried out at the internationally
renowned Center for Image Sciences at the UMC Utrecht in a team of
image scientists (image processing and analysis), mathematicians and
radiologists. You should have a master's degree in Mathematics,
Physics or Electrical Engineering and should also be strongly
motivated to acquire deep knowledge of MRI physics and hardware. A
strong affinity with mathematical modeling and numerical methods is
required. For this 100% post, the salary will start at 2.244 Euros,-
the maximum salary will be 2.874 Euros,- corresponding with the salary
scale for PhD candidates (OIO). This will be a temporary appointment
for 4 years.

More information:
https://www.academictransfer.com/employer/UMCU/vacancy/38360/lang/en/
Dr. Alessandro Sbrizzi, a.sbrizzi@umcutrecht.nl, +31 88 75 50288.




From: Jichao Zhao j.zhao@auckland.ac.nz
Date: January 18, 2017
Subject: PhD Positions, Computational analysis/atrial fibrillation


Principal Supervisor:
Dr. Jichao Zhao, Ph.D, Senior Research Fellow, Auckland
Bioengineering Institute (ABI), University of Auckland, Auckland,
New Zealand, email: j.zhao@auckland.ac.nz

We have research funding from the Health Research Council of New
Zealand that will cover tuition fees and provide support (an annual
tax-free allowance) for two PhD students. Funding is for three years
in the first instance, with possible extension for a further year. The
successful candidates will work with Dr Jichao Zhao and the ABI
cardiac group to investigate mechanisms underlying atrial fibrillation
(AF) and the optimal treatment by developing novel signal analysis
approaches and image-based computer models. AF, leading to an
irregular and rapid heart rate in the smaller/upper chambers of the
heart, is the most common sustained heart rhythm disturbance. AF is
associated with substantial morbidity and mortality. However, the
current clinical treatment for persistent/permanent AF or AF with
concurrent cardiac diseases, is suboptimal. The main reasons behind
the poor performance of current clinical treatments for AF are: 1)
lack of effective signal processing approaches to analyse patterns of
AF; and 2) need for quantitative tools to investigate optimal ablation
strategies. The two PhD students will work on developing computational
tools and use them to aid our understanding of AF and the proposed
projects are part of an international collaboration. The research
topics of the two PhD students are: 1. To develop novel signal
processing tools, such as wavelet approach and phase mapping, to
effectively analyse atrial recordings obtained using basket catheters
from patients with AF. The goal is to increase our understanding of
the substrates which directly sustain AF in patients and to aid
accurately targeted ablation performed in clinics. 2. To develop
atrial cellular kinetics models by including the most up-to-date
measured human cellular data and image-based 3D computer models to
investigate the basic mechanisms behind AF and effective ablation
strategy for AF termination. The ideal candidates will have a Masters'
or a Bachelors' degree with Honours (Second Class Honours, Division
One or better) in Engineering or Mathematics, and are good at least
one computer language (Matlab/C/C++/Fortran). Experience in
scientific/numerical computing would be an advantage. The candidate
needs to be passionate about research. If you have any questions,
please contact Dr. Zhao (Email: j.zhao@auckland.ac.nz).




From: Thomas Russold thomas.russold@uni-graz.at
Date: January 19, 2017
Subject: PhD position within the BioTechMed Graz funded flagship project ILEARNHEART


Starting I Q1, 2017 there is one open PhD position (3 years) within
the BioTechMed Graz funded flagship project

Image-based Learning in Predictive Personalized Models of Total Heart
Function (ILEARNHEART)

hosted at the Karl Franzens University Graz (KFU), the Graz University
of Technology (TUG) and the Medical University Graz (MUG). The
projects incorporates three interdisciplinary research groups headed
by scientists from Applied Mathematics, form Medical Engineering and
from Computer Science.

Position WP2 - Numerical methods for hemodynamics and FSI problems:
Supervisors: Prof. Gundolf Haase (Scientific Computing) & Prof.
Gernot Plank (Computational Cardiology)

For this position we are looking for a candidate holding a diploma or
master degree in either Applied Mathematics/Numerical
Mathematics/Scientific Computing or similar disciplines that provide a
suitable background for developing and implementing methods for the
fluid dynamics and for fluid-structureinteraction (FSI) in a parallel
computing context. Software engineering skills and experience in code
development are desirable. The candidate has to work in two areas: -
Solver development: integrative CFD solver components for the
non-linear FSI problem have to be derived and implemented based on the
existing code framework - Accelerator support: Use of a hybrid
MPI+OpenXX (OpenMP 4.5 and OpenACC 2.5) parallelization to support
GPUs as well as Intel KNL.

The position is currently financed for three years with a chance for
prolongation depending on the further funding success. The yearly
salary will by 21300 EUR with estimated monthly living costs of 900
EUR in Graz.

To apply for this position, please send your application by email
to gundolf.haase@uni-graz.at.
Your email should contain a pdf file as an attachment with the
following information:
- Curriculum Vitae (CV)
- a short description of your qualifications and experience (i.e.
list of courses, Diploma or Master thesis)
- a letter describing your scientific interests within the desired
project
- names and email-addresses of at least two scientists willing to
provide a reference




From: Chefi Triki chefi.triki@unisalento.it
Date: January 24, 2017
Subject: Special I, EURO J Transportation and Logistics


EURO Journal on Transportation and Logistics
Special issue on: Models and Methods for the Supply Chain and
Logistics Management
Deadline to submit manuscripts: May 15, 2017
Guest editors: Chefi Triki and Teodor Gabriel Crainic

Topics covered include:

Supply chain design and control; Transportation, vehicle routing and
fleet management; Manufacturing & warehousing operations; Sustainable
development; Decision Making in Industry and Services; Maritime and
Port logistics; Modelling & simulation of logistics systems; Planning
and scheduling; IT for Supply Chain Management and logistics; Reverse
and green logistics; Design and management of logistic infrastructure
and networks; Heuristic and meta-heuristic implementation in logistic-
related models; Smart city logistics; Strategies and operations of
logistic service providers

Submitted papers should not have been previously published nor being
currently under consideration for publication elsewhere. All papers
are refereed through a peer review process. All papers must be
submitted online.

In order to submit a paper for a Special Issue:
1. Log on www.editorialmanager.com/ejtl/default.aspx
2. Select Submit New Manuscript in the main menu.
3. In the drop down list associated with Choose Article Type, select
the entry corresponding to "S.I.: Models and Methods for the Supply
Chain and Logistics Management"




From: Nathan Krislock nkrislock@niu.edu
Date: January 30, 2017
Subject: Special Issues on Distance Geometry


Following the Distance Geometry Theory and Applications (DGTA16)
workshop, organized at DIMACS last July 2016
(http://dimacs.rutgers.edu/Workshops/Distance/), we are calling for
contributions to two special journal issues dedicated to the topics of
the workshop, but open to everyone: one in Discrete Applied
Mathematics (DAM) and the other in the Journal of Global Optimization
(JOGO).

The DAM special issue is especially suitable to papers with elements
of combinatorics, or purely theoretical papers. The JOGO special issue
is more suitable to papers in nonlinear optimization, particularly if
they involve many (or mainly) continuous decision variables, and if
they have a computational section.

The extended submission deadline is 1st April 2017, Submissions are
made through the respective web editorial managers:
- DAM (Elsevier): http://ees.elsevier.com/dam
- JOGO (Springer): http://www.editorialmanager.com/jogo

When submitting you must select "DGTA16 special issue" as the paper
type. Feel free to get in touch with any of us if you want to ask us
for advice on your submission. In general, a heads up about a paper
you want to submit to these issues is welcome!

Farid Alizadeh (alizadeh@rci.rutgers.edu)
Douglas Goncalves (douglas.goncalves@ufsc.br)
Nathan Krislock (nkrislock@niu.edu)
Leo Liberti (liberti@lix.polytechnique.fr)




From: Katy Roberts kathryn.roberts@oup.com
Date: January 20, 2017
Subject: Contents, IMA Journal of Numerical Analysis, 37 (1)


IMA Journal of Numerical Analysis
Links to all articles in this issue are available online at:
http://bit.ly/2iJIAdi

Numerical analysis of parabolic problems with dynamic boundary
conditions, Balazs Kovacs and Christian Lubich

Arbitrary-order mixed methods for heterogeneous anisotropic diffusion
on general meshes, Daniele A. Di Pietro and Alexandre Ern

Nonconforming FEM for the obstacle problem, C. Carstensen and
K. Kohler

A posteriori analysis of a nonlinear Gross-Pitaevskii-type eigenvalue
problem, Genevieve Dusson and Yvon Maday

A cut discontinuous Galerkin method for the Laplace-Beltrami operator,
Erik Burman, Peter Hansbo, Mats G. Larson, and Andre Massing

Numerical methods for piecewise deterministic Markov processes with
boundary, Christiane Cocozza-Thivent, Robert Eymard, Ludovic
Goudenege, and Michel Roussignol

Numerical methods for the 2-Hessian elliptic partial differential
equation, Brittany D. Froese, Adam M. Oberman, and Tiago Salvador

Boundary and coupled boundary-finite element methods for transient
wave-structure interaction, George C. Hsiao, Tonatiuh Sanchez-Vizuet,
and Francisco-Javier Sayas

Galerkin-finite element methods for the shallow water equations with
characteristic boundary conditions, D. C. Antonopoulos and
V. A. Dougalis

A mixed virtual element method for the pseudostress-velocity
formulation of the Stokes problem, Ernesto Caceres and Gabriel
N. Gatica

Multilevel interpolation of divergence-free vector fields, Patricio
Farrell, Kathryn Gillow, and Holger Wendland

Optimal L2 velocity error estimate for a modified pressure-robust
Crouzeix-Raviart Stokes element, A. Linke, C. Merdon, and W. Wollner

Galerkin variational integrators and modified symplectic Runge-Kutta
methods, Sina Ober-Blobaum

A stabilized SQP method: global convergence, Philip E. Gill,
Vyacheslav Kungurtsev, and Daniel P. Robinson

An unfitted hybridizable discontinuous Galerkin method for the Poisson
interface problem and its error analysis, Haixia Dong, Bo Wang, Ziqing
Xie, and Li-Lian Wang

An error estimate for structure-preserving finite difference scheme
for the Falk model system of shape memory alloys, Shuji Yoshikawa

Optimal order quasi-Monte Carlo integration in weighted Sobolev spaces
of arbitrary smoothness, Takashi Goda, Kosuke Suzuki, and Takehito
Yoshiki

Trivariate polynomial approximation on Lissajous curves, L. Bos, S. De
Marchi, and M. Vianello




From: Chi-Wang Shu shu@dam.brown.edu
Date: January 21, 2017
Subject: Contents, J Scientific Computing, 70 (1)


Journal of Scientific Computing
http://www.springeronline.com/journal/10915
Volume 70, Number 1, January 2017

Suboptimal Feedback Control of PDEs by Solving HJB Equations on
Adaptive Sparse Grids, Jochen Garcke and Axel Kroner, pp.1-28.

A Robust Inversion Method for Quantitative 3D Shape Reconstruction
from Coaxial Eddy Current Measurements, Houssem Haddar, Zixian Jiang
and Mohamed Kamel Riahi, pp.29-59.

Optimal Quadrilateral Finite Elements on Polygonal Domains, Hengguang
Li and Qinghui Zhang, pp.60-84.

Unconditional Superconvergence Analysis for Nonlinear Parabolic
Equation with EQ^rot_1 Nonconforming Finite Element, Dongyang Shi,
Junjun Wang and Fengna Yan, pp.85-111.

An Unconditionally Stable Quadratic Finite Volume Scheme over
Triangular Meshes for Elliptic Equations, Qingsong Zou, pp.112-124.

Superconvergent Two-Grid Methods for Elliptic Eigenvalue Problems,
Hailong Guo, Zhimin Zhang and Ren Zhao, pp.125-148.

Local and Parallel Finite Element Algorithm Based on Oseen-Type
Iteration for the Stationary Incompressible MHD Flow, Qili Tang and
Yunqing Huang, pp.149-174.

The Highest Superconvergence Analysis of ADG Method for Two Point
Boundary Values Problem, Jiangxing Wang, Chuanmiao Chen and Ziqing
Xie, pp.175-191.

Galerkin Method for the Scattering Problem of a Slit, Yujie Wang,
Fuming Ma and Enxi Zheng, pp.192-209.

Performance and Scalability Improvements for Discontinuous Galerkin
Solutions to Conservation Laws on Unstructured Grids, S.R. Brus,
D. Wirasaet, J.J. Westerink and C. Dawson, pp.210-242.

Large-Scale Optimization-Based Non-negative Computational Framework
for Diffusion Equations: Parallel Implementation and Performance
Studies, J. Chang, S. Karra and K.B. Nakshatrala, pp.243-271.

Uniform Convergent Tailored Finite Point Method for
Advection-Diffusion Equation with Discontinuous, Anisotropic and
Vanishing Diffusivity, Min Tang and Yihong Wang, pp.272-300.

On Second Order Semi-implicit Fourier Spectral Methods for 2D
Cahn-Hilliard Equations, Dong Li and Zhonghua Qiao, pp.301-341.

A New Finite Element Analysis for Inhomogeneous Boundary-Value
Problems of Space Fractional Differential Equations, Jingtang Ma,
pp.342-354.

High-Order Accurate Local Schemes for Fractional Differential
Equations, Daniel Baffet and Jan S. Hesthaven, pp.355-385.

A Galerkin Finite Element Method for a Class of Time-Space Fractional
Differential Equation with Nonsmooth Data, Zhengang Zhao, Yunying
Zheng and Peng Guo, pp.386-406.

Two Mixed Finite Element Methods for Time-Fractional Diffusion
Equations, Yanmin Zhao, Pan Chen, Weiping Bu and Xiangtao Liu,
pp.407-428.

Accuracy of Finite Element Methods for Boundary-Value Problems of
Steady-State Fractional Diffusion Equations, Hong Wang, Danping Yang
and Shengfeng Zhu, pp.429-449.




From: Chi-Wang Shu shu@dam.brown.edu
Date: January 29, 2017
Subject: Contents, J Scientific Computing, 70 (2)


Journal of Scientific Computing
http://www.springeronline.com/journal/10915
Volume 70, Number 2, February 2017

Optimal Spectral Schemes Based on Generalized Prolate Spheroidal Wave
Functions of Order -1, Jing Zhang, Li-Lian Wang, Huiyuan Li and Zhimin
Zhang, pp.451-477.

Subspace Methods with Local Refinements for Eigenvalue Computation
Using Low-Rank Tensor-Train Format, Junyu Zhang, Zaiwen Wen and Yin
Zhang, pp.478-499.

Error Estimates of Mixed Finite Element Methods for Time-Fractional
Navier-Stokes Equations, Xiaocui Li, Xiaoyuan Yang and Yinghan Zhang,
pp.500-515.

Stability of Nonlinear Convection–Diffusion–Reaction Systems in
Discontinuous Galerkin Methods, C. Michoski, A. Alexanderian,
C. Paillet, E.J. Kubatko and C. Dawson, pp.516-550.

Radial Basis Function ENO and WENO Finite Difference Methods Based on
the Optimization of Shape Parameters, Jingyang Guo and Jae-Hun Jung,
pp.551-575.

Stability Analysis of the Inverse Lax-Wendroff Boundary Treatment for
High Order Central Difference Schemes for Diffusion Equations,
Tingting Li, Chi-Wang Shu and Mengping Zhang, pp.576-607.

A Uniform Additive Schwarz Preconditioner for High-Order Discontinuous
Galerkin Approximations of Elliptic Problems, Paola F. Antonietti,
Marco Sarti, Marco Verani and Ludmil T. Zikatanov, pp.608-630.

On Geodesic Curvature Flow with Level Set Formulation Over
Triangulated Surfaces, Zheng Liu, Huayan Zhang and Chunlin Wu,
pp.631-661.

Convergence of a Second-Order Linearized BDF-IPDG for Nonlinear
Parabolic Equations with Discontinuous Coefficients, Lunji Song and
Chaoxia Yang, pp.662-685.

A Fictitious Domain Method with Distributed Lagrange Multiplier for
Parabolic Problems With Moving Interfaces, Cheng Wang and Pengtao Sun,
pp.686-716.

Two-Level Space-Time Domain Decomposition Methods for Flow Control
Problems, Haijian Yang and Xiao-Chuan Cai, pp.717-743.

Direct Discontinuous Galerkin Method and Its Variations for Second
Order Elliptic Equations, Hongying Huang, Zheng Chen, Jin Li and Jue
Yan, pp.744-765.

An Adaptive SDG Method for the Stokes System, Eric T. Chung, Jie Du
and Man Chun Yuen, pp.766-792.

A New Collocation Scheme Using Non-polynomial Basis Functions, Chao
Zhang, Wenjie Liu and Li-Lian Wang, pp.793-818.

On the Numerical Controllability of the Two-Dimensional Heat, Stokes
and Navier-Stokes Equations, Enrique Fernandez-Cara, Arnaud Munch and
Diego A. Souza, pp.819-858.

Unconditionally Strong Stability Preserving Extensions of the TR-BDF2
Method, L. Bonaventura and A. Della Rocca, pp.859-895.

Method of Lines Transpose: An Efficient Unconditionally Stable Solver
for Wave Propagation, Matthew Causley, Andrew Christlieb and Eric
Wolf, pp.896-921.

Discontinuous Galerkin Approximations for Computing Electromagnetic
Bloch Modes in Photonic Crystals, Zhongjie Lu, A. Cesmelioglu,
J.J.W. Van der Vegt and Yan Xu, pp.922-964.




From: Claude Brezinski claude.brezinski@univ-lille1.fr
Date: January 28, 2017
Subject: Contents, Numerical Algorithms, 74 (2)


Numerical Algorithms, Vol. 74, Issue 2

Non-polynomial spline method for the solution of two-dimensional
linear wave equations with a nonlinear source term, Homa Zadvan, Jalil
Rashidinia

Construction of optimal quadrature formulas for Fourier coefficients
in Sobolev space L_2^m(0,1), N.D. Boltaev, A.R. Hayotov,
Kh. M. Shadimetov

Low-rank updates of balanced incomplete factorization preconditioners,
J. Cerdan, J. Marin, J. Mas

Local convergence and the dynamics of a two-point four parameter
Jarratt-like method under weak conditions, S. Amat, Ioannis
K. Argyros, S. Busquier, A. Alberto Magrenan

Schwarz waveform relaxation method for one-dimensional Schroedinger
equation with general potential, Christophe Besse, Feng Xing

Numerov type variable mesh approximations for 1D unsteady quasi-linear
biharmonic problem: application to Kuramoto-Sivashinsky equation,
R.K. Mohanty, Deepti Kaur

Numerical methods for solving some matrix feasibility problems,
Xue-Feng Duan, Chun-Mei Li, Jiao-Fen Li, Yong Ding

Truncation error estimates for generalized Hermite sampling,
R.M. Asharabi, H.S. Al-Abbas

Galerkin finite element method for nonlinear fractional Schroedinger
equations, Meng Li, Chengming Huang, Pengde Wang

Multilevel hybrid split-step implicit tau-leap, Chiheb Ben Hammouda,
Alvaro Moraes, Raul Tempone

Krylov iterative methods for the geometric mean of two matrices times
a vector, Jacopo Castellini

Almost sure stability of the Euler-Maruyama method with random
variable stepsize for stochastic differential equations, Wei Liu,
Xuerong Mao

An improvement to double-step Newton method and its multi-step version
for solving system of nonlinear equations and its applications,
Kalyanasundaram Madhu, D.K.R. Babajee, Jayakumar Jayaraman

A hybrid viscosity iterative method with averaged mappings for split
equilibrium problems and fixed point problems, P. Majee, C. Nahak

Erratum to: Sub-range Jacobi polynomials, Walter Gautschi

Erratum to: Semilocal convergence of an eighth-order method in Banach
spaces and its computational efficiency, J.P. Jaiswal.



End of Digest
**************************