NA Digest, V. 17, # 30

NA Digest Tuesday, November 07, 2017 Volume 17 : Issue 30


Today's Editor:

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

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



From: Kai Diethelm k.diethelm@tu-bs.de
Date: October 28, 2017
Subject: Rudolf Gorenflo, 1930-2017


With great sadness we have to report that our colleague and friend
Rudolf Gorenflo passed away on October 20, 2017, aged 87.

Rudolf Gorenflo graduated from TU Karlsruhe in 1956 and obtained his
Ph.D. from this institution in 1960, both with theses in complex
analysis. During a brief stint in industry, he worked in the
development of electronic calculators which lead him to become deeply
acquainted with numerical mathematics and Monte Carlo simulations -
two areas of mathematics that should later accompany him throughout
the remainder of his mathematical career. He then spent eight years as
a research mathematician in the Max Planck Institute for Plasma
Physics where he exploited and broadened his proficiency in these
fields. After a brief term as Professor of Mathematics at RWTH Aachen,
Rudolf Gorenflo moved to Berlin in 1973 to become the Free
University's first chairholder for numerical mathematics. He remained
there ever since and contributed to mathematical research for many
years beyond his formal retirement.

A large part of his early research work was devoted to numerical
methods for parabolic PDEs. Later, he also considered Volterra
equations and their numerical solution, and in the early 1990s he
turned his attention to the field of fractional calculus, including
its numerics, applications, and the associated special functions - an
area that was about to emerge then and whose community considers him
as one of its pioneers. Throughout his career, Rudolf Gorenflo liked
to look at problems from very different perspectives - the application
side, the analytical side, the numerical side, and the stochastic
side. His broad knowledge in all these respects allowed him to
successfully communicate with people from these diverse backgrounds
and to gain deep insights into the problems at hand that a
monothematic approach could never have provided.

The community not only remembers Rudolf Gorenflo as an eminent
researcher who published three books, six edited volumes, and more
than 180 papers, but also as a most pleasant collaborator, an
excellent teacher, an enthusiastic supporter of young researchers at
the beginning of their careers in many countries all over the world,
and most of all as a very good friend who will be dearly missed.

Our condolences are with his family.

Kai Diethelm (Braunschweig) and Yury Luchko (Berlin)




From: Gerhard Opfer gerhard.opfer@uni-hamburg.de
Date: November 06, 2017
Subject: Mathematics, combinatorial


Is it known, whether a square Q of size 70 x 70 can be covered
by little squares q_j of size j x j, j=1,2,...,24.

Can one say something about this problem in general.



From: Carol Woodward woodward6@llnl.gov
Date: October 29, 2017
Subject: New SUNDIALS Release, v 3.0.0


The SUNDIALS Team announces a new release, version 3.0.0, of the
SUNDIALS suite of ODE, DAE and nonlinear integrator/solver software
with sensitivity analysis. To access the code and further information,
please go to: http://computation.llnl.gov/projects/sundials

Summary of major changes in SUNDIALS v.3.0.0:
- New linear solver API and interfaces for all SUNDIALS packages and
linear solvers. The goal of the redesign of these interfaces was to
provide more encapsulation and ease in interfacing custom linear
solvers and interoperability with linear solver libraries.
- Two new NVECTOR modules added: for CUDA and RAJA support for simple
use of GPU systems.
- Addition of sunindextype option for 32- or 64-bit integer data index
types within all SUNDIALS structures.
- The file include/sundials_fconfig.h was added. This file contains
SUNDIALS type information for use in Fortran programs.
- Added support for many xSDK-compliant build system keys.
- The xSDK is a movement in scientific software to provide a
foundation for the rapid and efficient production of
high-quality, sustainable extreme-scale scientific applications.
More information can be found at https://xsdk.info.
- Added functions SUNDIALSGetVersion and SUNDIALSGetVersionNumber to
get SUNDIALS release version information at runtime.
- Updates to the CMAKE build system in use of BLAS, Fortran, and
enhancements to error checking
- Corrections and additions to all User Guides.

More details of changes for each package can be found at:
http://computation.llnl.gov/projects/sundials/release-history




From: M. Ganesh mganesh@mines.edu
Date: October 25, 2017
Subject: TMATROM software release


We are pleased to announce the release of TMATROM, a Reduced Order
Model Application (ROMAPP) software for simulating wave propagation
using a stable and mathematical analysis supported T-matrix (TMAT)
formulation.

Features of TMATROM include
- acoustic and electromagnetic waves
- all standard boundary conditions
- a simple object oriented interface
- numerically stable even for large/large aspect ratio scatterers
- all tools needed for applying the T-matrix based ROM to monostatic
RCS computations, multiple scattering, stochastic systems etc.

For examples and TMATROM code please visit http://www.romapp.org

For more details about the numerically stable algorithm and numerical
results please see the accompanying ACM-TOMS paper
https://doi.org/10.1145/3054945

M. Ganesh and Stuart C. Hawkins




From: Hemant Tyagi htyagi.eth@gmail.com
Date: November 03, 2017
Subject: Approximating High Dimensional Functions, UK, Dec 2017


A workshop on "Approximating high dimensional functions" will be held
at the Alan Turing Institute, London on 18, 19 December 2017. The
workshop will focus on problems centered around approximating a high
dimensional function from limited information, featuring talks by
eminent researchers in the fields of multivariate approximation
theory, ridge functions, stochastic PDEs and non-parametric
regression.

Confirmed speakers are: Pierre Alquier (ENSAE, Universite
Paris-Saclay, France); Albert Cohen (Universite Pierre et Marie Curie,
France); Sergey Dolgov (University of Bath, UK); Arthur Gretton /
Dougal Sutherland (UCL, UK); Sandra Keiper (Technische Universitat
Berlin, Germany); Sebastian Mayer (Universitat Bonn, Germany); Richard
Samworth (University of Cambridge, UK); Jan Vybiral (Czech Technical
University, Czech Republic); Soren Wolfers (KAUST, Saudi Arabia)

The complete program can be found here:
https://www.turing.ac.uk/approximating-high-dimensional-functions-agenda/

Registration for the workshop is free, but mandatory, and can be done
here:
https://www.turing.ac.uk/events/approximating-high-dimensional-functions/




From: Krassimir Georgiev georgiev@parallel.bas.bg
Date: October 24, 2017
Subject: BGSIAM Annual Meeting, Bulgaria, Dec 2017


The 12-th Annual Meeting of the Bulgarian SIAM Section (BGSIAM) will
take place in Sofia, December 20 - 22, 2017. More information about
this event can be found at http://www.math.bas.bg/IMIdocs/BGSIAM/.

The Conference is supported by SIAM and there are no Conference fee
for the SIAM members paying there fee for 2017.

We kindly invite you to participate and give a talk during this
meeting.

A booklet with the extended abstracts will be available before the
meeting. Proceedings of refereed and presented papers will be
published as a special volume of Studies in Computational
Intelligence, Springer.




From: Stefan G├╝ttel stefan.guettel@manchester.ac.uk
Date: October 30, 2017
Subject: SIAM UKIE Annual Meeting, UK, Jan 2018


The 2018 Annual Meeting of the SIAM UKIE Section will take place on
Thursday, 11th of January 2018 at the National Oceanography Centre in
Southampton.

The meeting features five invited speakers, covering a broad range of
industrial and applied mathematics, and a poster session. Travel
support will be available for PhD students and postdocs with an
accepted poster presentation, and Best Poster prizes will be
awarded. Tea, coffee, and lunch will be provided for registered
participants. The meeting concludes with a free tour of the National
Oceangraphy Centre and attendees have the opportunity to join the
organisers and speakers for an evening meal, at their own expense.

Registration is open until December 1st, 2017, and free of charge:
http://maths.manchester.ac.uk/siam-ukie/meetings.html



From: Daniel Wachsmuth daniel.wachsmuth@mathematik.uni-wuerzburg.de
Date: November 03, 2017
Subject: Modern Methods in Nonsmooth Optimization, Germany, Feb 2018


Winter School: Modern Methods in Nonsmooth Optimization
February 26 - March 02, 2018
Wuerzburg, Germany.

Nonsmooth optimization is a highly active field of research in the
subject of applied and numerical mathematics. The lectures cover the
range from theoretical foundations to the derivation and convergence
analysis of optimization methods as well as their numerical
realization and application. First, these topics will be explored for
finite-dimensional optimization problems. Afterwards, the appropriate
ideas and techniques will be transferred to infinite-dimensional
problems.

Speakers:
- Amir Beck (Tel-Aviv, Israel)
- Christian Clason (Duisburg-Essen, Germany)
- Anton Schiela (Bayreuth, Germany)
- Alexandra Schwartz (Darmstadt, Germany)
- Tuomo Valkonen (Liverpool, UK)

Information and Registration:
https://www.mathematik.uni-wuerzburg.de/winterschool2018/

A limited amount of funding is available to support participants.

Local Organizers:
Christian Kanzow, Daniel Wachsmuth




From: Karl Rupp me@karlrupp.net
Date: October 30, 2017
Subject: High Performance Computing Symposium, USA, Apr 2018


26th High Performance Computing Symposium (HPC 2018)
April 15 - 18, 2018 | Baltimore, MD, USA
http://hosting.cs.vt.edu/hpc2018/

Full paper submission: November 23, 2017

Topics of interest include but are not limited to:

- High performance computing issues in Big Data analytics
- High performance/large scale application case studies
- GPU for general purpose computations (GPGPU)
- Accelerator and co-processor computing
- Multicore and many-core computing
- Exascale challenges
- Cloud, distributed, and grid computing
- Hybrid parallel or distributed algorithms
- Large scale visualization and data management
- Parallel algorithms and architectures
- High performance software tools and techniques
- Resilience at the simulation level
- Reproducibility of application performance results



From: Christos Xenophontos xenophontos@ucy.ac.cy
Date: November 01, 2017
Subject: Numerical Methods for Problems with Layer Phenomena, Cyprus, May 2018


A two day workshop is being organized by the Department of Mathematics
and Statistics, University of Cyprus and it will take place May 24 -
25, 2018 at the Palm Beach Hotel, Larnaca, Cyprus.

For more information (including registration procedures and deadlines)
visit the workshop's webpage:
http://www.mas.ucy.ac.cy/~xenophon/workshop/





From: Leo Liberti leoliberti@gmail.com
Date: October 26, 2017
Subject: Graphs and Combinatorial Optimization, France, Jun 2018


16th Cologne-Twente Workshop (CTW16) on Graphs and Combinatorial
Optimization
June 18-20, 2018, Paris (France)

The Cologne-Twente Workshop on Graphs and Combinatorial Optimization
2018 welcomes contributions on theory and applications of discrete
algorithms, graphs and combinatorial structures in the wide
sense. CTW18 will be organized by CNRS LIX, Ecole Polytechnique, and
will take place at the Conservatoire National d'Arts et Metiers
(CNAM), in the center of Paris.

URL: http://ctw18.lipn.univ-paris13.fr/
EMAIL: ctw18paris@gmail.com

Submit extended abstracts of at most 4 pages using the Easychair link
(not there yet but coming soon) on the workshop website, no later than
Feb 1st, 2018, using the templates (coming soon too) available on the
website. The scientific committee will select the presentations for
the workshop on the basis of the extended abstracts received and on
the available number of slots.




From: Pamela Bye pam.bye@ima.org.uk
Date: October 25, 2017
Subject: IMA Numerical Linear Algebra and Optimization, UK, Jun 2018


Sixth IMA Conference on Numerical Linear Algebra and Optimization
University of Birmingham, UK 27 - 29 June 2018 TThe meeting is
co-sponsored by SIAM, whose members will receive the IMA members'
registration rate.

The success of modern codes for large-scale optimization is heavily
dependent on the use of effective tools of numerical linear
algebra. On the other hand, many problems in numerical linear algebra
lead to linear, nonlinear or semidefinite optimization problems. The
purpose of the conference is to bring together researchers from both
communities and to find and communicate points and topics of common
interest. Conference topics include any subject that could be of
interest to both communities, such as: Direct and iterative methods
for large sparse linear systems; Eigenvalue computation and
optimization; Large-scale nonlinear and semidefinite programming;
Effect of round-off errors, stopping criteria, embedded iterative
procedures; Optimization issues for matrix polynomials; Fast matrix
computations; Compressed/sparse sensing; PDE-constrained optimization;
Distributed computing and optimization; and Applications and real time
optimization.

Key dates
Mini-symposia proposals: 31 January 2018
Notification of acceptance of mini-symposia: 12 February 2018
Abstract submission: 28 February 2018
Notification of acceptance of abstracts: 31 March 2018
Conference: 27-29 June 2018

Conference webpage: https://ima.org.uk/7149/6thIMANLAO/




From: Pablo Seleson selesonpd@ornl.gov
Date: November 01, 2017
Subject: Peridynamics Short Course, USA, Jun 2018


Short Course on Peridynamics
18th U.S. National Congress for Theoretical and Applied Mechanics
(USNC/TAM 2018)
June 4-9, 2018, Rosemont, IL
http://sites.northwestern.edu/usnctam2018/

A short course on the Peridynamic Theory of Solid Mechanics will be
held at the upcoming 18th U.S. National Congress for Theoretical and
Applied Mechanics hosted by Northwestern University. The short course
will review the peridynamic theory, and it will discuss various
applications as well as related modeling and computational
aspects. Students, postdocs, as well as early-career and senior
researchers are welcome to participate. The short-course description
is given below.

Title: Peridynamic Theory of Solid Mechanics: modeling, computation,
and applications

Instructors:
- Dr. John Foster (john.foster@utexas.edu)
The University of Texas at Austin
- Dr. David Littlewood (djlittl@sandia.gov)
Sandia National Laboratories
- Dr. Pablo Seleson (selesonpd@ornl.gov)
Oak Ridge National Laboratory

Peridynamics is a nonlocal reformulation of classical continuum
mechanics, based on integral equations, suitable for material failure
and damage simulation. In contrast to classical constitutive
relations, peridynamic models do not require spatial differentiability
assumptions on displacement fields, leading to a natural
representation of material discontinuities such as
cracks. Furthermore, peridynamic models possess length scales, making
them suitable for multiscale modeling. This short course will review
the peridynamic theory, and it will discuss various applications as
well as related modeling and computational aspects.




From: Marilena Mitrouli mmitroul@math.uoa.gr
Date: October 31, 2017
Subject: Numerical Analysis and Scientific Computation with Applications, Greece, Jul 2018


The third conference on "Numerical Analysis and Scientific Computation
with Applications" (NASCA '18), will be held in the city of Kalamata,
Greece in July 2-6, 2018.

Detailed information can be found at the conference website
http://nasca18.math.uoa.gr

The main topics of the conference are:
- Large Linear Systems of Equations and Eigenvalue Problems
with Preconditioning,
- Linear Algebra and Control. Model Reduction,
- Ill-posed Problems, Regularisation,
- Numerical Methods for PDEs,
- Approximation Theory, Radial Basis Functions,
Meshless Approximation,
- Optimization,
- Applications to Image and Signal Processing, Environment,
Energy Minimization, Internet Search Engines.

Deadline for submission of abstracts: February 15, 2018.

Contact address: nasca2018@math.uoa.gr




From: Stefka Dimova dimova@fmi.uni-sofia.bg
Date: October 23, 2017
Subject: Numerical Methods and Applications, Bulgaria, Aug 2018


The 9th International Conference on "Numerical Methods and
Applications" (NM&A'18) will take place August 20-24, 2018 in
Borovets, Bulgaria. NM&A'18, held every four years, has been a forum
for scientists of well-known research groups from various countries
providing an opportunity for sharing ideas and establishing fruitful
scientific cooperation. With this issue (NM&A'18) of the conference we
hope to continue the tradition. Highlighted topics for the 2018
meeting are: Numerical methods for differential and integral
equations; Approximation techniques in numerical analysis; Multi-grid,
multi-level, and multi-scale methods; Numerical linear algebra;
Reduced order models and numerical methods; Hierarchical and domain
decomposition methods; Monte Carlo methods; Orthogonal polynomials and
numerical quadratures; Metaheuristic algorithms and other optimization
techniques; Mathematical modeling in Science and Engineering;
Computational mechanics, physics, chemistry and biology; Advanced and
High performance computing. Invited speakers: Boris Chetverushkin,
KIAM - RAS, Russia; Francisco Gaspar, CWI, Amsterdam, Netherlands; Jun
Hu, Peking University, China; Raphael Kruse, TU Berlin, Germany;
Jean-Claude Latche, IRSN, France.

Important Deadlines:
Submission of abstracts: April 15, 2018
Registration, Submission of full papers: June 10, 2018

Additional information - on the website:
http://nma18.fmi.uni-sofia.bg/
Contact address: nma18@fmi.uni-sofia.bg




From: Teodora Catinas tcatinas@math.ubbcluj.ro
Date: November 07, 2017
Subject: Numerical Analysis and Approximation Theory, Romania, Sep 2018


On behalf of the Department of Mathematics from Faculty of Mathematics
and Computer Science, Babes - Bolyai University we are pleased to
invite you to attend the International Conference on Numerical
Analysis and Approximation Theory that will take place in Cluj-Napoca,
Romania, September 6th - 9th, 2018.

http://math.ubbcluj.ro/naat2018/




From: David Seal seal@usna.edu
Date: October 23, 2017
Subject: Tenure-Track Position, U.S. Naval Academy


Assistant Professor of Mathematics, Statistics, or Operations Research
(U.S. Naval Academy)

The Mathematics Department at the United States Naval Academy in
Annapolis, MD invites applications for one or more tenure-track
Assistant Professor (or higher rank) appointments in each of the
following three areas: (1) in pure or applied Mathematics, (2) in
Statistics, and (3) in Operations Research. The appointments will
begin July 31, 2018. The successful applicant must be strongly
committed both to teaching at the undergraduate level and to producing
high-quality peer-reviewed research. A qualified candidate must be a
U.S. citizen and have a Ph.D. in an appropriate field by July
2018. Candidates with a commitment and demonstrated ability to attract
and retain students from underrepresented groups (including women) are
particularly encouraged to apply. Candidates are directed to our
official job postings at http://www.usna.edu/HRO/Jobs for details
about the jobs and requirements (including a background
investigation). Application review will begin on October 30, 2017 and
will continue until the positions are filled.




From: Thiab Taha thiab@cs.uga.edu
Date: October 23, 2017
Subject: Tenure-Track Positions, Computer Science, Univ of Georgia


The Department of Computer Science at the University of Georgia
invites applications for four tenure-track assistant professor
positions, starting August 2018. Applicants should hold a PhD in
Computer Science or closely related field, have a strong research
record, and be committed to excellence in both research and
teaching. We are especially interested in hiring a candidate with a
research background in any area of Robotics, Computational Science,
High Performance and Distribute Computing, Data Science and Machine
Learning, and Hardware Security. Please see http://www.cs.uga.edu for
more information about the department and http://uga.edu/ for
information about UGA.

To apply, please go to the website:
http://cs.uga.edu/hiring-4-tenure-track- positions

OR directly:

To apply for Robotics, please go to
http://facultyjobs.uga.edu/postings/2915

To apply for Computational Science, High Performance and Distribute
Computing, please go to http://facultyjobs.uga.edu/postings/2913.

To apply for hardware security, please go to
http://facultyjobs.uga.edu/postings/2790

To apply for Data Science and Machine Learning, please go to
http://facultyjobs.uga.edu/postings/2785

Review of candidates will begin on December 01, 2017 and will continue
until the positions are filled.



From: Tuen Wai NG ntw@maths.hku.hk
Date: October 25, 2017
Subject: Tenure-Track Positions, Mathematical and Statistical Science, HKU


Applications are invited for tenure-track appointments as Associate
Professor/Assistant Professor in the Research Division of Mathematical
and Statistical Science in the Faculty of Science, at the University
of Hong Kong (HKU).

Full version of this advertisement can be found at
http://www.mathjobs.org/jobs/jobs/11102
and
http://jobs.hku.hk/jd.php?id=201701228




From: Emanuele Zanchi rrhh@bsc.es
Date: October 27, 2017
Subject: Multiple Positions, Barcelona Supercomputing Center


The Barcelona Supercomputing Center - Centro Nacional de
Supercomputacion (BSC-CNS) is the leading supercomputing center in
Spain. It houses MareNostrum, one of the most powerful supercomputers
in Europe, and is a hosting member of the PRACE European distributed
supercomputing infrastructure. The mission of BSC is to research,
develop and manage information technologies in order to facilitate
scientific progress. BSC combines HPC service provision and R&D into
both computer and computational science (life, earth and engineering
sciences) under one roof, and currently has over 500 staff from 44
countries.

Communications Officer (Internship contract)
https://www.bsc.es/join-us/job-opportunities/187mgmcommoff

Junior C/C++ Developer (RE1/RE2)
https://www.bsc.es/join-us/job-opportunities/186csssre1re2

PhD Student in High Performance and Scientific Computing and
Programming (R1)
https://www.bsc.es/join-us/job-opportunities/184cspmr1

Researcher in High Performance and Scientific Computing and
Programming (R2)
https://www.bsc.es/join-us/job-opportunities/185cspmr2




From: Sven Leyffer leyffer@anl.gov
Date: October 23, 2017
Subject: Postdoc Position, Algorithms for Tomographic Reconstruction, Argonne


Argonne's X-ray Science Division is looking for a Postdoctoral
Researcher who will be responsible for developing novel numerical
algorithms and analysis methods to reconstruct tomography data from
ptychography images collected from synchrotron beamlines. In this
role, you will work closely with an interdisciplinary team of
physicists, applied mathematicians, and computer scientists to develop
methods and software to be used by scientists at Argonne and at other
U.S. National Laboratories. The research will be focused on
optimization of data collection strategies for low-dose applications
and development of new analysis and reconstruction algorithms for
imaging techniques, including tomography and ptychography.

To apply, please go to
http://www.anl.gov/careers/apply-job/postdoctoral-applicants
using requisition number 403333

Contact Sven Leyffer (leyffer@anl.gov) for more details.




From: Susanne C. Brenner sbrenner@cct.lsu.edu
Date: October 29, 2017
Subject: Postdoc Position, Computational Mathematics, LSU


The Center for Computation & Technology (CCT) at Louisiana State
University invites applications for a postdoctoral position engaging
in Computational Mathematics research with Professor Susanne Brenner.

Required Qualifications: Ph.D. in Mathematics or closely related
discipline; published research in at least one of the following areas:
adaptive methods, discontinuous Galerkin methods, multigrid methods,
domain decomposition methods, elliptic optimal control problems,
computational electromagnetics or computational mechanics.

An offer of employment is contingent on a satisfactory pre-employment
background check. Application deadline is January 15, 2018, or until a
candidate is selected. Apply online:

https://lsu.wd1.myworkdayjobs.com/LSU/job/LSU---Baton-Rouge/Postdoctoral-
Researcher_R00017761-1



From: Tzanio Kolev tzanio@llnl.gov
Date: October 25, 2017
Subject: Postdoc Position, Finite Elements for Electromagnetics


The Center for Applied Scientific Computing at Lawrence Livermore
National Laboratory (LLNL) has an immediate opening for a postdoctoral
researcher to perform research and development of finite element
algorithms targeting large-scale electromagnetic applications of
interest to the US department of energy (DOE). The successful
candidate will design, implement, analyze and test new approaches for
advanced discretization and efficient solution of Maxwell-type
problems. The project will involve working closely with researchers on
the MFEM team at LLNL as well as collaborators from the Fusion Energy
Science office of the DOE at MIT, ORNL, PPPL and RPI under the SciDAC
program.

Essential qualifications include background in finite element methods;
knowledge of H(curl)-conforming and/or high-order finite elements;
interest in collaborating and working with application scientists;
demonstrated ability to perform independent research and software
development of complex C++ software in a Linux environment; and
effective verbal and written communication skills necessary to
interact in a clear and concise manner, author technical and
scientific reports and papers, and deliver scientific presentations.

For more information and to apply, interested candidates are directed
to https://shar.es/1P6Inp.

LLNL is an affirmative action/equal opportunity employer. All
qualified applicants will receive consideration for employment without
regard to race, color, religion, marital status, national origin,
ancestry, sex, sexual orientation, gender identity, disability,
medical condition, protected veteran status, age, citizenship, or any
other characteristic protected by law.



From: Tuen Wai NG ntw@maths.hku.hk
Date: October 25, 2017
Subject: Postdoc Position, Mathematics, HKU


Applications are invited for appointment as Post-doctoral Fellow in
Pure and Applied Mathematics in the Department of Mathematics, at the
University of Hong Kong (HKU).

Full version of this advertisement can be found at
http://www.mathjobs.org/jobs/jobs/11059




From: Bartosz Protas bprotas@mcmaster.ca
Date: October 24, 2017
Subject: Postdoc Position, Theoretical Fluid Mechanics, McMaster


An opening for a post-doctoral fellow is anticipated in Dr. Protas'
research group at McMaster University with a start date of September
1, 2018. The focus of this position will be fundamental investigations
of extreme behavior, such as potential singularity formation, in fluid
flow models using a combination of mathematical analysis and
large-scale computations. Expected background involves (ideally, a
combination of) theoretical fluid mechanics, large-scale scientific
computing (including numerical optimization) and PDE analysis. The
position will also involve a limited amount of teaching. Applications
should be submitted via www.mathjobs.org (Fellowship ID: McMaster-PDF
[#11005]; the advertisement contains further details concerning the
opening and the application procedure).

Interested candidates may also contact

Dr. Bartosz Protas
Department of Mathematics & Statistics
McMaster University
Hamilton, Ontario, CANADA L8S 4K1
Email: bprotas@mcmaster.ca
URL: http://www.math.mcmaster.ca/bprotas

for additional information.




From: Jared Tanner tanner@maths.ox.ac.uk
Date: November 07, 2017
Subject: Postdoc Position, Theories for Deep Learning, Univ of Oxford


Applications are invited to apply for a postdoctoral research
assistant at the Mathematical Institute and Oxford-Emirates Data
Science Lab at the University of Oxford. We are particularly
interested in hiring in the following topic:

Machine and deep learning, sparse approximation or signal processing,
random matrix theory, and information theory. Machine and Deep
Learning have proven to be some of the most effective tools in data
science, now reliably surpassing human ability to perform tasks such
as classification of images and sophisticated games. The holder of
this post will work to advance our understanding of the efficacy and
interpretability of these methods, as well as apply these techniques
to real world problems such as those of interest to Emirates
Airlines. Methods to be explored are likely to include: the scattering
transform, models for data which can be rigorously analysed such as
deep neural nets with Gaussian weights, dictionary learning,
convolutional sparse coding, reversibility, adversarial nets, optimal
approximation, function learning, the information bottleneck, and high
dimensional geometry. Previous experience in some of the following
topics expected to be useful: A successful candidate in this field
will be supervised by Professor Jared Tanner within the Numerical
Analysis Group.

Details are available at:
https://www.maths.ox.ac.uk/node/26933

and informal enquiries are welcomed by contacting Jared Tanner at
tanner@maths.ox.ac.uk

Deadline of Dec. 6th, noon UK time.




From: Noemi Petra npetra@ucmerced.edu
Date: November 06, 2017
Subject: Postdoc Position, Univ of California, Merced


There is an immediate opening for a postdoc position in my research
group in the School of Natural Sciences at the University of
California, Merced. The postdoctoral researcher will work under an
NSF-funded Collaborative Research (with UC Merced, UT Austin and MIT)
entitled: Integrating Data with Complex Predictive Models under
Uncertainty: An Extensible Software Framework for Large-Scale Bayesian
Inversion (see https://hippylib.github.io for a general overview of
the project).

This project involves research in the field of large-scale Bayesian
inverse problems, and in particular on implementation work on adding
new features in hIPPYlib (https://hippylib.github.io). hIPPYlib
contains implementations of state-of-the-art scalable adjoint-based
algorithms for PDE-based deterministic and Bayesian inverse
problems. It builds on FEniCS for the discretization of the PDEs,
hence all the code development tasks are tight to being able to work
with FEniCS and on python coding experience. There will be occasional
C++ implementation needs as well, hence experience with C++ is a plus.

The postdoc will contribute to the research dissemination and will
also help build the user/developer community by attending and speaking
at conferences, workshops and summer schools at local and
international events.

Interested candidates should contact Noemi Petra at npetra at
ucmerced.edu and apply at:
https://aprecruit.ucmerced.edu/apply/JPF00505




From: Vanessa Peinhart vanessa.peinhart@uni-graz.at
Date: November 06, 2017
Subject: Postdoc Position, Univ of Graz


POSTDOC POSITION within the ERC-Advanced Grant "From Open to Closed
Loop Optimal Control of PDEs", Institute of Mathematics and Scientific
Computing,University of Graz

About the project: The project addresses a broad spectrum in optimal
control of PDEs and focusses on some of the most pressing topics: High
dimensional Hamilton Jacobi Bellman equations arising in feedback
control, non-smooth, and possibly non-convex optimal control and
related computational techniques. The use of optimal control
techniques for deep learning can be another focus point for the future
collaborator's research.

Professional qualifications: Doctoral degree in a mathematical branch
of study. Solid knowledge in applied mathematics, including PDEs, with
specialization in either analytical or computational
techniques. Experience in the numerical treatment of high-dimensional
partial differential equations is especially welcome. Alternatively,
specialization in optimal control, calculus of variations, or
optimization is highly appreciated.

Grant holder: Prof. Karl Kunisch, University of Graz and Radon
Institute, Austrian Academy of Sciences

Applications with a detailed CV including a publication list and a
compact statement of previous achievements and research interests
should be sent to: vanessa.peinhart@uni-graz.at.

Application Deadline: January 15, 2018




From: Lars Ruthotto lruthotto@emory.edu
Date: November 07, 2017
Subject: Graduate Positions, Computational Mathematics, Emory Univ


The Department of Mathematics and Computer Science at Emory University
invites applications for Graduate Fellowships. Our department offers
M.S. and PhD tracks and a variety of possible research
specialization. For PhD students in Mathematics, a number of five-year
scholarships are available. International students are encouraged to
apply, and successful candidates will receive visa sponsorship.

Numerical Analysis and Scientific Computing are among the department's
key focus areas. Our graduate program focusses on numerical linear
algebra, partial differential equations, optimization, inverse
problems and offers excellent research opportunities in these areas
and opportunities for interdisciplinary collaborations with leading
experts from a variety of disciplines including cardiology, radiology,
biostatistics, biomedical engineering, geophysics, and machine
learning.

More information can be found at:
http://www.mathcs.emory.edu/Research/Area/ScientificComputing/

The application deadline for Fall 2018 admission is December 15,
2017. Application instructions and further information can be found at
http://www.graduateschool.emory.edu/admissions/index.html




From: Helen Taylor Taylorh@maths.ox.ac.uk
Date: November 02, 2017
Subject: Doctoral Positions, Numerical Analysis, Oxford


The Mathematical Institute at the University of Oxford is recruiting
up to 50 doctoral students in all subject areas. The Numerical
Analysis Groups, based in the Mathematical Institute, encourages
applicants with interests aligned the expertise of its faculty, which
cover many aspects of the field, including Approximation Theory,
Mathematics of Information, Numerical Linear Algebra, Optimisation,
and Numerical Analysis of Partial Differential Equations; see:

https://www.maths.ox.ac.uk/groups/numerical-analysis

Candidates may wish to apply for studentships associated with one of
the two centres for doctoral training based in the Mathematical
Institute (in "Analysis and Application of Partial Differential
Equations", and in "Industrial Focussed Mathematical Modelling"), or
for studentships in other branches of Mathematics.

Applicants interested in pursuing doctoral studies in the field of
Numerical Analysis are encouraged to review the research interests of
faculty members in the Numerical Analysis Group posted on

https://www.maths.ox.ac.uk/groups/numerical-analysis/members

before contacting potential doctoral supervisors. Further information
concerning the application process and funding can be found on

https://www.maths.ox.ac.uk/study-here/postgraduate-study



From: Rachel Furner rachel.furner@maths.cam.ac.uk
Date: October 26, 2017
Subject: PhD Position, Univ of Cambridge


The CCIMI (Cantab Capital Institute for Mathematics of Information),
based at the Faculty of Mathematics of the University of Cambridge,
invites applications for fully funded PhD studentships studying
projects within the broad topic of Mathematics of Information. As
well as the information below and in the links, we will be holding an
Open Afternoon on November 9th for students to find out more about the
CCIMI and its PhD programme. For information on the open afternoon,
including a registration link, please visit
https://www.ccimi.maths.cam.ac.uk/events-archive/ccimi-phd-open-afternoon/ .
Further information on the studentships and training programme can be
found below and at
https://www.ccimi.maths.cam.ac.uk/vacancies/ccimi-funded-studentships-maths-
information
and https://www.ccimi.maths.cam.ac.uk/training .

We welcome applications for studentships relating to projects and
subject areas covering all aspects of the broad field of mathematics
of information. It is expected that students would be supervised (or
in some cases co-supervised) by a member of our faculty, who can be
found at https://www.ccimi.maths.cam.ac.uk/people. Prospective
students are encouraged to look into the CCIMI faculty members and
their work, and discuss areas of interest with potential supervisors
to find or propose PhD projects related to the institute's work.
Further information on the institute, our faculty, our activities,
events, and some of the projects currently being investigated by
students or faculty can be found on our website,
https://www.ccimi.maths.cam.ac.uk/.

PhD Studentships within the institute are fully funded to include
University Composition Fees and maintenance for the duration of the
course to match the RCUK minimum level, and the scheme is open to
nationals from all countries. Further information on the application
procedure can be found at
https://www.ccimi.maths.cam.ac.uk/vacancies/ccimi-funded-studentships-maths-
information

For further information please contact ccimi@maths.cam.ac.uk




From: Roy Goodman goodman@njit.edu
Date: October 31, 2017
Subject: PhD Positions, Applied Math New Jersey Inst of Technology


The Department of Mathematical Sciences at New Jersey Institute of
Technology (NJIT) is inviting candidates to apply to one of our
doctoral program tracks: (1) Applied Mathematics or (2) Applied
Probability & Statistics.

The Department's research focus spans Fluid Dynamics, Materials
Science, Wave Propagation, Scientific Computing, Applied Analysis,
Mathematical Biology, and Applied Probability & Statistics, including
Biostatistics.

Teaching and research assistantships are available, and include a
tuition waiver and a competitive stipend.

Application target date is December 15, 2017 but ongoing review will
continue until all available positions are filled.

To apply, please visit our homepage: https://goo.gl/tajBhg

For more information, please email us (math@njit.edu, CC
to:matveev@njit.edu, rmoore@njit.edu).

PhD Program advertisement flyer is available at
http://web.njit.edu/~matveev/NJIT_DMS_PhD_flyer.pdf




From: Bartosz Protas bprotas@mcmaster.ca
Date: October 24, 2017
Subject: MSc/PhD Position, Theoretical Fluid Mechanics, McMaster


An opening for a graduate student (Master's or Ph.D.) is anticipated
in Dr. Protas' research group at McMaster University. The focus of
this position will be fundamental investigations of extreme behavior,
such as potential singularity formation, in fluid flow models using a
combination of mathematical analysis and large-scale
computations. Expected background involves (ideally, a combination of)
theoretical fluid mechanics, large-scale scientific computing
(including numerical optimization) and PDE analysis. Details
concerning application procedures are available at the web address

http://www.math.mcmaster.ca/index.php/graduate-studies/application-procedure.html

Interested candidates may also contact

Dr. Bartosz Protas
Department of Mathematics & Statistics
McMaster University
Hamilton, Ontario, CANADA L8S 4K1
Email: bprotas@mcmaster.ca
URL: http://www.math.mcmaster.ca/bprotas

for additional information.



From: Yves Lucet yves.lucet@ubc.ca
Date: November 07, 2017
Subject: PhD/MSc Positions, Optimization/Modeling/OR, Univ of British Columbia


We invite applications for several fully funded PhD and MSc positions
in optimization, operations research, modeling, or a related field
starting Sep 2018.

Project 1: Optimization of road design. Our research group has
successfully secured multi-year industry- sponsored funding with a
road design CAD company to investigate how to minimize the cost of
road construction under safety, environmental, and regulatory
constraints. The research will involve the understanding, development
and numerical testing of new models for the road design problem. The
PhD ideal applicant has a background in optimization (LP, MIP, NLP,
etc.), some programming experience in C++ or experience in algebraic
modeling languages such as AIMMS, and the ability to communicate
effectively (in English). Applicants at the MSc level should have
either a solid background in programming e.g. BSc in computer science,
or in optimization e.g. BSc in mathematics. Funding is already in
place with a starting date of Sept 2018.

Project 2: Computational convex analysis. Applicants with interest in
optimization, convex analysis, and nonsmooth analysis from an
algorithm viewpoint are invited to apply to our PhD program in
Mathematics. The project has a strong algorithm focus with a goal of
improving global optimization algorithms. It also includes the
exploration of the latest visualization techniques such as
VR. Applicants with a background in computer science are invited to
apply to our MSc program in computer science.

You will join a dynamic group of researchers in optimization at the
University of British Columbia (Canada) on the fast growing campus of
Kelowna. The research team is interdisciplinary with faculty member
from Computer Science, Mathematics, Statistics (Data Science), and
Civil Engineering. It is part of the Centre for Optimization, Convex
Analysis, and Nonsmooth Analysis (COCANA), see
http://ocana.ok.ubc.ca/). For application details see
https://gradstudies.ok.ubc.ca/prospective/application-admission.html
Further questions should be sent to Dr. Yves Lucet, Professor Computer
Science at yves.lucet@ubc.ca.




From: Kris Garrett ckgarrett@lanl.gov
Date: October 24, 2017
Subject: Student Position, Parallel Computing, Los Alamos National Lab


We're excited to let you know we are accepting applications for the
2018 Parallel Computing Summer Research Internship at Los Alamos
National Laboratory. This summer program allows students to learn
about high-performance computing with research projects applied to
real scientific applications on cutting edge architectures. You can
get more information at the website http://parallelcomputing.lanl.gov
with information about previous students, mentors, and projects. The
application submission deadline is January 26, 2018. Please email us
at apply-parallelcomputing@lanl.gov to apply or if you have any
questions.




From: Zahari Zlatev zz@envs.au.dk
Date: November 02, 2017
Subject: Special Issue, International Journal of Environment and Pollution


We (Hristo Chervenkov from the Bulgarian Academy of Sciences, Agnes
Havasi from the University of Budapers and I) are preparing the
publication of a Special Issue in the "International Journal of
Environment and Pollution". The title of this issue is "Challenges in
the Development of Large-scale Pollution Models". We are encouraging
submission of papers treating mathematical models on the following
topics: (a) Environmental Pollution, (b) Impact of Climatic Changes on
High Pollution Levels and (c) Exceeded Critical Levels of Dangerous
Pollutants, but papers treating other related areas are also welcome.

We are cordially inviting you to submit a paper for this Special
Issue. If you accept this invitation, then the following details will
be useful for you:
1. We shall send you additional information about the way of
submitting your paper to the editorial web-site of the
journal. Moreover, if you agree to submit a paper, then send us,
please, a tentative title and the names of your co-authors (if
any).
2. Your paper should be submitted no later than March 1 2018.
3. All submitted papers will be refereed and only papers for which the
refereeing procedure is successfully finished no later than
December 1 2018 will be included in the Special Issue.



From: Fikret A Aliev chief_ed@acmij.az
Date: October 26, 2017
Subject: Contents, Applied and Computational Mathematics, 16 (3)


Applied and Computational Mathematics an International Journal
Vol.16, No.3, October 2017
www.acmij.az

CONTENTS

Shape Preserving Convex Data Interpolation, Muhammad Sarfraz, Malik
Zawwar Hussain, Farsia Hussain

Developable Curve-Surface Pair and Spherical Representations by Bishop
Frame, Filiz Ertem Kaya, Yusuf Yayli

Scattering and Spectral Problems of the Direct Sum Sturm-Liouville
Operators, Bilender P. Allahverdiev, Ekin Ugurlu

An Application of Sinc-Galerkin Method for Solving the Tzou Equation,
Pourgholi R., Esfahani A., Houlari T., Foadian S.

Approximate Solution of Boundary Value Problems Using Shifted Legendre
Polynomials, Hammad Khalil, Kamal Shah, Rahmat Ali Khan

Skew Constacyclic Codes over the Ring Fq + vFq, Jian Gao, Fanghui Ma,
Fang-Wei Fu

Multi-Criteria Group Decision Making Method for Elevator Safety
Evaluation with Hesitant Fuzzy Judgments, Zongmin Li, Xuedong Liang,
Haidong Yin

On a Double-Point Boundary Value Problem for a Second Order
Operator-Differential Equation and its Application, Mirzoev S.S.,
Babayeva S.F.



From: Kathryn Roberts kathryn.roberts@oup.com
Date: October 24, 2017
Subject: Contents, IMA Journal of Numerical Analysis, 37 (4)


Contents, IMA Journal of Numerical Analysis, 37(4)
IMA Journal of Numerical Analysis
Links to all articles in this issue are available online at:
http://bit.ly/2gzA11j

Banded, stable, skew-symmetric differentiation matrices of high order,
Ernst Hairer, Arieh Iserles

Collocation methods for third-kind VIEs, Sonia Seyed Allaei, Zhan-Wen
Yang, Hermann Brunner

Augmented Lagrangians, box constrained QP and extensions, Roger
Fletcher

Stable variational approximations of boundary value problems for
Willmore flow with Gaussian curvature, John W Barrett; Harald Garcke;
Robert Nurnberg

Residual-based a posteriori error estimation for the Maxwell's
eigenvalue problem, Daniele Boffi; Lucia Gastaldi; Rodolfo Rodriguez;
Ivana Sebestova

H(div) conforming and DG methods for incompressible Euler's equations,
Johnny Guzman; Chi-Wang Shu; Filander A Sequeira

Finite element semidiscretization of a pressure-stress formulation for
the time-domain fluid-structure interaction problem, Carlos Garcaa;
Gabriel N Gatica; Salim Meddahi

Two-level additive Schwarz methods for discontinuous Galerkin
approximations of second-order elliptic problems, Ohannes Karakashian
Craig Collins

Computation of pseudospectral abscissa for large-scale nonlinear
eigenvalue problems, Karl Meerbergen; Wim Michiels; Roel Van Beeumen;
Emre Mengi

On the Euler-Maruyama approximation for one-dimensional stochastic
differential equations with irregular coefficients, Hoang-Long Ngo;
Dai Taguchi

Lebesgue constants arising in a class of collocation methods, William
W Hager; Hongyan Hou; Anil V Rao

A second-order sequential optimality condition associated to the
convergence of optimization algorithms, Roberto Andreani; Gabriel
Haeser; Alberto Ramos; Paulo J S Silva

Discretising the Heston model: an analysis of the weak convergence
rate, Martin Altmayer; Andreas Neuenkirch

Robust and efficient preconditioners for the discontinuous Galerkin
time-stepping method, Iain Smears

Graphs, spanning trees and divergence-free finite elements in domains
of general topology, Ana Alonso Rodriguez; Jessika Camanno; Riccardo
Ghiloni; Alberto Valli

An adaptive space-time Newton-Galerkin approach for semilinear
singularly perturbed parabolic evolution equations, Mario Amrein;
Thomas P Wihler

Pure vorticity formulation and Galerkin discretization for the
Brinkman equations, Veronica Anaya; David Mora; Ricardo Ruiz-Baier

Trigonometric time integrators for the Zakharov system, Sebastian
Herr; Katharina Schratz

Numerical long-time energy conservation for the nonlinear Schrodinger
equation, Ludwig Gauckler

Avoiding order reduction when integrating linear initial boundary
value problems with Lawson methods, I Alonso-Mallo; B Cano; N Reguera

A $C^0$ linear finite element method for two fourth-order eigenvalue
problems, Hongtao Chen; Hailong Guo; Zhimin Zhang; Qingsong Zou

Convection and total variation flow---erratum and improvement,
Francois Bouchut; David Doyen; Robert Eymard

Corrigendum to the paper "Numerical approximation of fractional powers
of regularly accretive operators", Andrea Bonito; Joseph E Pasciak

Erratum "A second-order sequential optimality condition associated to
the convergence of optimization algorithms", Roberto Andreani; Gabriel
Haeser; Alberto Ramos; Paulo J S Silva




From: Claude Brezinski claude.brezinski@univ-lille1.fr
Date: November 04, 2017
Subject: Contents, Numerical Algorithms, 76 (3)


Table of Contents
Numerical Algorithms, Vol. 76, No. 3

Yun-Chi Huang, Siu-Long Lei, A fast numerical method for block lower
triangular Toeplitz with dense Toeplitz blocks system with
applications to time-space fractional diffusion equations

Raoul Bourquin, Algorithms for the construction of high-order Kronrod
rule extensions with application to sparse-grid integration

Cleonice F. Bracciali, Michael Carley, Quasi-analytical root-finding
for non-polynomial functions

Rashad M. Asharabi, Mohammed M. Tharwat, Approximating eigenvalues of
Dirac system with discontinuities at several points using
Hermite-Gauss method

Abderrahim Messaoudi, Hassane Sadok, Recursive polynomial
interpolation algorithm (RPIA)

Leilei Wei, Stability and convergence of a fully discrete local
discontinuous Galerkin method for multi-term time fractional diffusion
equations

Phung Van Manh, Hermite interpolation with symmetric polynomials

Guidong Liu, Shuhuang Xiang, Fast multipole methods for approximating
a function from sampling values

A. Astorino, M. Gaudioso, E. Gorgone, A method for convex minimization
based on translated first-order approximations

Hongli Yang, Xianyang Zeng, A feasible and effective technique in
constructing ERKN methods for multi-frequency multidimensional
oscillators in scientific computation

Nguyen Buong, Iterative algorithms for the multiple-sets split
feasibility problem in Hilbert spaces

Qiao-Li Dong, Yan-Yan Lu, Jinfeng Yang, Songnian He, Approximately
solving multi-valued variational inequalities by using a projection
and contraction algorithm

Yueting Yang, Yuting Chen, Yunlong Lu, A subspace conjugate gradient
algorithm for large-scale unconstrained optimization

Bruno Despres, Polynomials with bounds and numerical approximation



End of Digest
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