NA Digest, V. 17, # 11

NA Digest Monday, May 08, 2017 Volume 17 : Issue 11


Today's Editor:

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

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Submissions for NA Digest:

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


From: Gerhard-Wilhelm Weber gweber@metu.edu.tr
Date: May 04, 2017
Subject: Developing Countries Online Resources (IFORS)


Dear colleagues and friends,

Regarding IFORS Developing Countries OR Resources Website, its
regular updates - and your possible own submission of "free" (not
copyright protected) material, you might occasionally visit

http://ifors.org/developing_countries/index.php?title=Main_Page


From: Jeff Linderoth linderoth@wisc.edu
Date: May 05, 2017
Subject: Call for Nominations, 2017 ICS Prize


The INFORMS Computing Society (ICS) Prize is an annual award for the
best English language paper or group of related papers dealing with
the Operations Research/Computer Science interface. The award is
accompanied by a certificate and a $1,000 honorarium. The award will
be presented at the ICS Business Meeting that will take place during
the INFORMS Annual Meeting in Houston from October 22-15, 2017.

The goals of the prize are:
- To promote the development of high-quality work advancing the state
of the art in the operations research/computer science interface;
- To publicize and reward the contributions of those
authors/researchers who have advanced the state of the art; and
- To increase the visibility of excellent work in the field.

Conditions for eligibility:
- Published in the open literature;
- Pertinent to the interface of operations research and computer
science;
- Written in English.

The nomination package should consist of a cover letter and a copy of
each nominated work. The cover letter should provide the title,
author's name, place and date of publication as well as a
justification for the nomination. Self-nominations are allowed but
discouraged. All nominations should be submitted electronically to
icsprize@mail.informs.org by midnight EDT, July 15, 2016. All
submissions will be acknowledged by the committee chair.

ICS Prize Awards Committee
Jon Lee, University of Michigan
Jeff Linderoth, University of Wisconsin-Madison (chair)
Jean-Paul Watson, Sandia National Lab



From: Ilya Loshchilov and Ilya Loshchilov blackboxcompetition@gmail.com
Date: May 08, 2017
Subject: BBComp: Black-Box Optimization Competition, Call for participation


The Black Box Optimization Competition (BBComp,
http://bbcomp.ini.rub.de/) has just opened FIVE NEW TRACKS in the
domains of single- and multi-objective optimization. The competition
is organized in the scope of the Genetic and Evolutionary Computation
Conference (GECCO'2017, http://gecco-2017.sigevo.org/)

BBComp is the first competition platform in the continuous domain
where test problems are truly black boxes to participants. The only
information known to the optimizer and participant is the dimension of
the problem, bounds on all variables, and a budget of black box
queries.

The competition is also the first web/online optimization competition
in evolutionary computation domain, it aims at attacking a growing
impact of over-fitting of optimization algorithms to a narrow set of
existing benchmark problems. The competition was run four times so
far, attracting more than 100 unique submissions, including some
state-of-the-art commercial solvers.

All the material including the source code in C/C++, MATLAB, Python
and Java is available at http://bbcomp.ini.rub.de . The results of the
competition will be announced during GECCO'2017. Participants do not
need to attend the conference or submit papers, they can even choose
to be anonymous to the other participants.

Organizers:
Ilya Loshchilov, Albert-Ludwigs-Universitat Freiburg, Germany
Tobias Glasmachers, Ruhr-Universitat Bochum, Germany



From: Victorita Dolean Victorita.Dolean@strath.ac.uk
Date: May 03, 2017
Subject: Finite Element Modelling with FreeFem++, Scotland, Jun 2017


I would like to draw the attention of colleagues, PhD students and
young researchers to the FreeFem++ (www.freefem.org) Introductory
Course, "Finite Element Modelling with FreeFem++", taking place in
Glasgow, Scotland on Friday 30th June; This workshop is lead by Ionut
Danaila, Victorita Dolean and Frederic Hecht.

This event may be of interest in particular to those attending the
27th Biennal Numerical Analysis Conference (taking place at the
University of Strathclyde, Glasgow, from 27th to 30th June 2017) as it
follows immediately after the conference, exactly in the same
place. For details and registration see:

http://www.strath.ac.uk/science/mathematicsstatistics/workingwithus/freefem/


From: Pamela Bye pam.bye@ima.org.uk
Date: May 03, 2017
Subject: IMA Nonlinearity and Coherent Structures, UK, Jun 2017


2ND IMA CONFERENCE ON NONLINEARITY AND COHERENT STRUCTURES
Monday 19 - Wednesday 21 June 2017
University of East Anglia, Norwich, UK

Nonlinearity plays an important role in many fields of Science,
Engineering and Technology. The aim of this conference is to bring
together researchers working on aspects of nonlinear phenomena and to
encourage interaction between experts from different areas such as
Applied Mathematics, Mathematical Analysis, Fluid Dynamics,
Engineering and Physics. Recent theoretical developments, new
computational methods and experimental findings will be presented and
discussed. We plan to avoid parallel sessions and foster as much as
possible communication across the different communities.

Conference topics: Integrable systems; Nonlinear waves in fluids;
Soliton theory; Nonlinear evolution PDEs; Orthogonal polynomials;
Mathematical biology; Coherent structures in shear flows and
transition to turbulence.

Early Bird Fees must be paid by Monday 22 May 2017 otherwise a higher
price will be implemented.

Further information:
http://ima.org.uk/conferences/conferences_calendar/2nd-ima-conference-nonlinearity-coherent-structures.html

For scientific queries please contact Dr. Emilian Parau:
e.parau@uea.ac.uk

For general conference queries please contact Lizzi Lake, Conference
Officer: conferences@ima.org.uk



From: Ana Loureiro opsfa14@kent.ac.uk
Date: May 02, 2017
Subject: Orthogonal Polynomials, Special Functions and Applications, UK, Jul 2017


The 14th International Symposium on Orthogonal Polynomials, Special
Functions and Applications (OPSFA-14) will take place 3rd-7th July
2017 at the University of Kent, Canterbury, UK -- for further details
see http://blogs.kent.ac.uk/opsfa/. The conference is the first one in
the OPSFA series to take place in the UK. The symposium will take
place in the Sibson Building at the University of Kent, which is the
new home of the School of Mathematics, Statistics & Actuarial Science,
opened in March 2017.

Registration and call for talks and posters is at:
https://blogs.kent.ac.uk/opsfa/registration/

A number of bursaries for Research Students and Early Career
Researchers (PhD in 2014 or later) will be available (deadline for
applications: 15 May 2017). Priority will be given to those from
developing countries.

Talk/Poster submission: deadline 15 May 2017 An award for the best
poster will be given at OPSFA14, the prize is sponsored by Cambridge
University Press.

This symposium is an event of the SIAM Activity Group on Orthogonal
Polynomials and Special Functions. The activity group promotes
research in orthogonal polynomials and special functions; furthers the
application of this subject in other parts of mathematics, and in
science and industry; and encourages and supports the exchange of
information, ideas, and techniques between workers in this field and
other mathematicians and scientists. The activity group awards the
Gabor Szego Prize every two years to an early-career researcher for
outstanding research contributions in the area of orthogonal
polynomials and special functions.

For further enquiries, please contact opsfa14@kent.ac.uk



From: Carsten Carstensen cc@math.hu-berlin.de
Date: May 07, 2017
Subject: Reliable Methods of Mathematical Modeling, Germany, Jul-Aug 2017


First announcement RMMM 8 in Berlin, Germany, on Reliable Methods of
Mathematical Modeling in July 30 - August 03, 2017
https://www2.mathematik.hu-berlin.de/~rmmm2017/

The biennial RMMM conferences bring together scientists developing
reliable methods for mathematical modeling. The range from applied and
numerical analysis, methods for the control of modeling and numerical
errors, algorithmic aspects to challenging applications is covered and
especially novel discretization methods for the numerical
approximation of PDEs are included.

Topics include mesh-adaptive numerical methods in various applied
problems, a posteriori error control and verification of numerical
solutions, validation of mathematical models used in computer
simulation, nonlinear computational partial differential equations,
novel discretization methods for the numerical approximation of PDEs.

Registration is online until mid of May and the conference fee is 150
Euros.



From: Andrea Walther andrea.walther@uni-paderborn.de
Date: May 03, 2017
Subject: Deadline extended, FGI Conference on Optimization, Germnay, Sep 2017


This is the final call for submissions for 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

Deadlines
23 May '17: Submission deadline for abstracts (extended)
12 Jun '17: Notification of abstract acceptance
1 Jul '17: Early registration deadline



From: Eric Miller elmiller@ece.tufts.edu
Date: May 03, 2017
Subject: Imaging Sciences, USA, Oct 2017


Houston Imaging Sciences Symposium
This is the first call for abstracts/pre-registration for a two-day
Imaging Sciences symposium to be held in Houston, TX on October
2nd-3rd, 2017.

Main focus for symposium:
- A two-day symposium to bring together experts and practitioners of
imaging sciences in various industry, including but not limited to
oil and medical industries.
- Focus on the mathematical and numerical aspects of imaging, bringing
in more detail than what we can see at SEG or other industry
conferences. At the same time, the focus will also be on how to
apply the mathematics to solve industry problems of today.
- Take a look at what the future holds for imaging, find intersection
between imaging and all the fantastic improvements in machine
learning, reduced order models, compressive sensing, etc.

There are no tracks at this symposium, the talks will be attended by
all participants. We plan to have four sessions, each with one plenary
speaker followed by talks. Each talk can be 45 mins long, followed by
10 mins for Q&A.

Please submit a short abstract (1 page or less), including your name,
affiliation. Also, please indicate which of the four sessions your
talk will best fit into:
- Tomographic imaging: Lead by Dr. Eric Miller, Tufts
- Reflection imaging: Lead by Dr. Bill Symes, Rice
- Image Processing: Lead by Dr. David Fuentes, MD Anderson
- Future of Imaging: Lead by Dr. Maarten DeHoop, Rice

Talks that fit well within the focus described above will be more
likely to be picked. Please submit abstracts by June 30th, 2017 to
houstonimaging2017@gmail.com

At the time, we would also like those who plan to attend to
pre-register so that we can get an idea of the number of attendees for
planning our logistics. Please respond using the Google form ASAP
https://goo.gl/forms/HddqmsraT9guK7513



From: Isaac Newton Institute for Mathematical Siences communications@newton.ac.uk
Date: May 03, 2017
Subject: Generative models, parameter learning and sparsity, UK, Oct-Nov 2017


Attend this workshop at the Isaac Newton Institute and interact and
engage while working on the review, exchange and promoting of recent
advances in generative models, parameter learning and sparsity. A key
issue in image reconstruction, and in inverse problems as a whole, is
the correct choice of image priors (or regularisation functionals) and
data models (or fidelity terms) in a variational or Bayesian
reconstruction model. Depending on the setup of the model, very
different qualitative image reconstruction results are obtained. This
workshop will cover many topics around this - Read more here. This is
the second event and part of the activities for a long term programme
on Variational methods and effective algorithms for imaging and vision
(1 Sept-- 31 Dec 2017) organised by Ke Chen, Andrew Fitzgibbon,
Michael Hintermuller, Carola-Bibiane Schonlieb, and Xue-Cheng Tai.

List of invited and confirmed speakers includes (to expand): F Bach, R
Baraniuk, J Calder, J Chung, J Delon, M Figueiredo, E Haber, A Hansen,
L Horesh, P Milanfar, M Peyrera, B Plemmons, L Ruthotto, P Weiss, R
Willett. This workshop is organised by: Simon Arridge (University
College London), Martin Burger (Universitat Munster), Michael
Hintermuller (Humboldt-Universitat zu Berlin), Nick Kingsbury (Trinity
College, Cambridge), Gabriel Peyre (CNRS - Ecole Normale Superieure
Paris), Guillermo Sapiro (Duke University), Carola Schonlieb
(University of Cambridge).

This workshop is open for registration but closes shortly. Deadline
for Oral/Poster presentation: 30 June 2017. Deadline for participation
(only): 31 July 2017. Participation remotely is possible.

Register today http://www.newton.ac.uk/event/vmvw02




From: Kengo Nakajima nakajima@cc.u-tokyo.ac.jp
Date: May 06, 2017
Subject: CFP, SC17, USA, Nov 2017


CFP: SC17 Reserch Posters
November 12-17, 2017, Denver, CO, http://sc17.supercomputing.org/
Submission Deadline: July 31, 2017
Notification Sent: September 1, 2017
Posters: http://sc17.supercomputing.org/submitters/research-posters/
Submission Site: https://submissions.supercomputing.org

SC17 is soliciting submissions for posters that display cutting-edge
research and work in progress in high performance computing, storage,
networking and analysis. Posters provide an excellent opportunity for
short presentations and informal discussions with Conference
attendees.

SC17 will also host the ACM Student Research Competition (SRC). This
competition will feature posters from undergraduate and graduate
students showcasing original student research. A SRC poster may be
authored by exactly one student (optionally with the
advisor(s)). Student authors must be an active ACM member. Further
information can be found at
http://sc17.supercomputing.org/submitters/research-posters/

All posters can be submitted within up to two of the following
categories: Algorithms; Applications; Architectures and Networks;
Clouds and Distributed Computing; Data Analytics, Visualization and
Storage; Performance; Programming Systems; State of the Practice;
System Software; and Education.

Email Contact and Questions: posters(at)info.supercomputing.org


From: Stefan Kunis stefan.kunis@math.uos.de
Date: May 04, 2017
Subject: Professor Position, Applied Analysis, Univ Osnabrueck


The Institute of Mathematics at the University of Osnabrueck invites
applications for a

Professorship of Applied Analysis (W3)

to take up appointment on 1st April 2018. The successful applicant is
expected to represent this field in both research and teaching.
Cooperation with the existing research groups of the institute of
mathematics as well as experience in externally funded research
projects is expected.

Please send your application (preferably in electronic version as one
PDF-file) to the Dean of the Faculty of Mathematics/ Computer Science
of the University of Osnabrueck, dekan-fb06@uni-osnabrueck.de, by June
5th, 2017.



From: Gerlind Plonka-Hoch plonka@math.uni-goettingen.de
Date: May 08, 2017
Subject: Postdoc Position, Georg-August-Univ Göttingen


The Research Training Group RTG 2088 "Discovering Structure in Complex
Data: Statistics Meets Optimization and Inverse Problems" (Speaker:
Prof. Gerlind Plonka-Hoch) at the Georg-August University Gottingen
offers a PostDoc Position from August 1, 2017-March 31, 2020. The
salary is in accordance with the German public service salary scale
(E13 TV-L) with 100% of the regular working hours (currently 39.8
hours per week). The research projects in this RTG focus on new
mathematical concepts for the efficient reconstruction and
classification of relevant structural information in data sets,
without reconstructing the entire information inherent in the
data. One of the guiding principles of this RTG consists of
discovering and rigorously exploiting structural a priori information
in order to obtain the desired information. Methodically, specific
emphasis will be laid upon the interplay between approaches in
statistics, optimization, and inverse problems. Most of the proposed
PhD projects arise from signal or image processing applications in
biology, medicine or engineering. We are looking for a postdoc having
strong expertise related to at least one of the fields inverse
problems, optimization, mathematical statistics, data analysis,
probability theory, computational topology or mathematical signal and
image processing, but showing considerable breadth in her/his previous
research and a willingness to explore new topics.

Candidates should fulfill the following requirements: An excellent
doctorate in mathematics and a strong publication record; A strong
background in one of the mathematical disciplines covered by the RTG;
Very good English skills (written and spoken); Willingness to work in
interdisciplinary teams; Good programming skills are beneficial.

The University of Gottingen is an equal opportunities employer and
places particular emphasis on fostering career opportunities for
women. Qualified women are therefore strongly encouraged to apply in
fields in which they are underrepresented. The university has
committed itself to being a family-friendly institution and supports
their employees in balancing work and family life.The mission of the
University is to employ a greater number of severely disabled
persons. Applications from severely disabled persons with equivalent
qualifications will be given preference. Please send your application
with the usual documents until June 5, 2017 either per letter mail to,
Georg-August-University Gottingen, Prof. Gerlind Plonka-Hoch,
Lotzestr. 16-18, 37083 Gottingen, Germany or directly per e-mail to
Prof. Plonka-Hoch: plonka@math.uni- goettingen.de. Electronical
applications are preferred.



From: Gabriel Lord g.j.lord@hw.ac.uk
Date: May 03, 2017
Subject: Postdoc Position, MCMC Methods, Heriot-Watt Univ, Edinburgh, UK


The position is part of the EPSRC funded EQUIP project between Warwick
University, Imperial College and Heriot-Watt. The key academic staff
in EQUIP are Professors Andrew Stuart (now at CalTech), Charlie Elliot
and Gareth Roberts (Warwick), Mark Girolami (Imperial) and Mike
Christie (Heriot-Watt).

The goal of the EQUIP project is to make significant advances in
methodology for uncertainty quantification that can be applied to
realistic large engineering problems. The difficulty in handling the
computational challenges involved in large engineering problems is
driving advances in techniques such as Markov Chain Monte Carlo (MCMC)
methods.

Applications must have considerable experience in mathematical
modelling and MCMC techniques. Experience of multilevel and
multi-fidelity approaches will be an advantage.

Please see https://www.hw.ac.uk/about/work/jobs/job_SVJDOTgzMA.htm
for full details.



From: Diane de Zelicourt diane.dezelicourt@physiol.uzh.ch
Date: May 02, 2017
Subject: PhD Position, Computational Physiology, Univ of Zurich, Switzerland


A funded doctoral position in the general areas of computational
physiology and biomedical engineering is available at the Interface
Group of the Institute of Physiology, University of Zurich,
Switzerland: http://interfacegroup.ch/

Combining clinical meta-analysis and computational modeling, this
project aims at refining our understanding of the coupling between
cardiovascular and renal function in health and diseases, accounting
for its complex hormonal and biomechanical inter-regulations. Of
specific interest is the understanding of the evolution in renal and
cardiac function in patients undergoing renal transplant.

The Ph.D. student will work within the Swiss national flagship project
NCCR Kidney.CH (www.nccr-kidney.ch) and in tight collaboration with
the University Hospitals of Bern, Geneva and Zurich; at the interface
between fundamental physiology and clinical applications.

The ideal candidate will have expert knowledge in numerical methods
and in systems and controls with emphasis on their application to
physiological systems. Knowledge of the cardiovascular and renal
anatomy and physiology is of advantage. A master's degree in
engineering, computational sciences or a related field and excellent
English language skills are mandatory.

The Interface Group offers a creative, international work environment,
outstanding computational infrastructure, integration into a large
research network and access to experimental and clinical data for
model parametrization.

Candidates are encouraged to apply to Dr. Diane de Zelicourt,
diane.dezelicourt@physiol.uzh.ch, with a motivation letter, CV,
transcripts and contact information of two references.



From: Bartosz Protas bprotas@mcmaster.ca
Date: May 04, 2017
Subject: MSc/PhD Position, Mathematical Modelling and Scientific Computing, McMaster


An opening for a graduate student (Master's or Ph.D.) is anticipated
in Dr. Protas' research group at McMaster University with a start date
of September 1, 2017 (preferred), or January 1, 2018. The focus of the
position will be research on mathematical and computational modeling
of nonequilibrium electrochemical and thermodynamic processes
occurring in Li-ion batteries. This position is intended for a student
with mathematics background interested in exploring a rapidly
developing application area, or for a mathematically-minded chemist or
chemical engineer with a solid background in theoretical and
computational chemistry. The student will be enrolled in the
interdisciplinary School of Computational Science and Engineering.
Details concerning application procedures are available at the web
address

https://computational.mcmaster.ca/graduate-studies/application-process.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.


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