NA Digest, V. 16, # 44

NA Digest Tuesday, December 06, 2016 Volume 16 : Issue 44


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: Mike Sussman sussmanm@math.pitt.edu
Date: November 30, 2016
Subject: Science fair judging criteria


I often judge science fairs for high-school students, including the
Intel International Science and Engineering Fair. The Intel fair has
a separate section for Mathematics projects, including numerical and
computational projects. Some of the projects are of publication
quality and it is a challenge to rank them. Judging is done by a
group of professional mathematicians who volunteer their time, only
some of whom are familiar with computational math.

Ranking is particularly difficult because some projects include proofs
of new results in fields such as number theory that are accessible at
the high- school level while other projects present interesting
approaches to hard problems using home computers as computational
platforms, but without the traditional theorem/proof structure. It is
often challenging to convince the group of judges that an innovative
numerical project without proofs is of quality comparable with the
proof of a novel theoretical result.

I am asking for input in devising judging criteria that would help
rank a novel numerical or computational project without complete
proofs as comparable with a project containing a proof of a novel
theoretical result.



From: Markus Blatt markus@dr-blatt.de
Date: November 23, 2016
Subject: OPM release 2016.10


We are pleased to announce the availability of OPM release 2016.10!

The "Open Porous Media Initiative" (OPM) coordinates collaborative
software development, maintains and distributes open-source software
and open data sets under free licenses (GPLv3+).

The OPM software contains various solver for porous media flow (IMPES,
two-phase incompressible transport, a reordering-based two-phase
polymer solver, and a parallel fully implicit black-oil solver). In
addition solvers for flow-based upscaling of both both permeability
(single-phase upscaling) and relative permeability (two-phase
upscaling), including capability for steady-state upscaling are
included. Together with the software we ship various SPE test data
sets, and the data of the Norne oil field as open data.

The release brings major improvements to the output capabilities of
Flow, the fully implicit black-oil reservoir simulator. This includes
improvements to summary and restart output, which is now controllable
from the input deck, and also improved logging behaviour.

For more information see http://opm-project.org/?page_id=36

Binary packages are available for Ubuntu and Red Hat Enterprise Linux,
instructions are available for building from source for any Linux
variant or Mac OS X.

The Open Porous Media Initiative team.


From: Robert Speck r.speck@fz-juelich.de
Date: November 23, 2016
Subject: Release of pySDC 2.0


We would like to announce the new release of pySDC, a Python package
for the spectral deferred corrections (SDC) approach and its flavors,
esp. the multilevel extension MLSDC and the parallel-in-time algorithm
PFASST. See http://www.parallelintime.org/pySDC for more details!

Features:
- SDC, MLSDC, MSSDC and PFASST implementations, with and without MPI
parallelization
- many different examples (e.g. heat equation, particle dynamics,
Boussinesq equation, reaction-diffusion equations, ...)
- plays nicely with FEniCS for Finite Element discretization in space
- a tutorial to flatten the rather steep learning curve a bit
- fully documented and tested core routines and implementations
- Python 2.7.x and 3.x compatibility

pySDC is intended for rapid prototyping and educational purposes. New
ideas like e.g. sweepers, predictors or time-parallelization
strategies can be tested and first toy problems can be easily
implemented.

pySDC is open source under the BSD-2 license. The code is hosted on
GitHub, see https://github.com/Parallel-in-Time/pySDC.



From: Elwin van 't Wout e.wout@uc.cl
Date: December 05, 2016
Subject: Boundary Element Methods, Chile, Dec 2016


The program of Mathematical and Computational Engineering of
Pontificia Universidad Catolica de Chile cordially invites you to
attend the "First Chilean Symposium on Boundary Element Methods -
Efficient computational algorithms for simulating wave propagation."
The symposium will cover topics in interdisciplinary research related
to the Boundary Element Method (BEM) and the computational simulation
of wave propagation. The themes of the symposium include applied
mathematics, software design, physics, and astroengineering. The
keynote speakers are Prof. Timo Betcke (University College London, UK)
and Prof. Mahadevan Ganesh (Colorado School of Mines, USA). The event
is free of charge and will be held at campus San Joaquin, Pontificia
Universidad Catolica de Chile, Santiago, on December 14th, 2016. For
registration and more information: http://symposium.sitios.ing.uc.cl


From: Federico Poloni federico.poloni@unipi.it
Date: November 22, 2016
Subject: Matrix Equations and Tensor Techniques workshop, Italy, Feb 2017


The abstract submission deadline for the Matrix Equations and Tensor
Techniques Workshop (METT), Pisa, February 13-14, 2017, is
approaching.

Deadlines:
- Abstract submission: December 4, 2016
- Acceptance notification: December 16, 2016
- Registration: January 27, 2017

Works presented at the workshop can be submitted to a special issue of
Numerical Linear Algebra with Applications.

Further information: http://delone.dm.unipi.it/mett17



From: Ilse Ipsen ipsen@ncsu.edu
Date: December 03, 2016
Subject: SAMSI Interface of Statistics and Optimization, USA, Feb 2017


SAMSI Workshop on the Interface of Statistics and Optimization (WISO)
February 8-10, 2017

This workshop brings together pioneers in statistics and optimization.
In one-hour lectures, they will highlight the breadth and depth of
advances, cross-fertilization, and cutting-edge applications.

Confirmed speakers at this point: Yonina Eldar (Technion), Alex Gray
(Skytree), Michael Jordan (UC Berkeley), Kenneth Lange (UCLA), Arkadi
Nemorivski (Georgia Tech), Alex Shapiro (Georgia Tech), Martin
Wainright (UC Berkeley), Margaret Wright (NYU Courant), and Steve
Wright (Wisconsin).

Workshop registration: http://www.samsi.info/opt-wiso
Application deadline: 16 December 2016
Location: Duke University, Durham, NC, USA
Questions: email opt@samsi.info



From: Luke Olson lukeo@illinois.edu
Date: December 05, 2016
Subject: Copper Multigrid Conference, Student Papers, USA, Mar 2017


Student Paper Competition - Deadline December 16, 2016
18th Copper Mountain Conference on Multigrid Methods
Sunday March 26 - Thursday March 30, 2017
Copper Mountain, Colorado, USA

Students are invited to submit papers to the student paper competition
at the 18th Copper Mountain Conference on Multigrid Methods, March
2017. The deadline for the submitting to the paper competition is
December 16, 2016. Lodging and conference expenses may be awarded,
pending funding, and details about the award and submission process
can be found at
http://grandmaster.colorado.edu/~copper/2017/student.html

The Copper Mountain Conference on Multigrid Methods was founded in
1983 and is held every two years (odd years). It is widely regarded as
one of the premier international conferences on multigrid methods. The
2017 meeting is organized in cooperation with SIAM. As in the past,
there will be a Special Issue devoted to multigrid methods in
Numerical Linear Algebra with Applications. In addition to the talks,
multigrid tutorials will be given on the first day of the conference.

For more information, see our web site at
http://grandmaster.colorado.edu/~copper/2017/

Student Paper Competition: Friday, December 16, 2017
Presentation Abstracts: Friday, January 20, 2017
Early Registration: Friday, January 27, 2017
Registration: Friday, February 24, 2017
Guaranteed Lodging: February 25, 2017
Journal Special Issue: tentatively June 15, 2017



From: Niall Madden Niall.Madden@NUIGalway.ie
Date: November 16, 2016
Subject: Problems with Layer Phenomena, Ireland, Apr 2017


14th Annual Workshop on Numerical Methods for Problems with Layer
Phenomena
Thursday, 6 - Friday, 7 April, 2017, Galway, Ireland.
http://www.maths.nuigalway.ie/~niall/LayerPhenomena2017

REGISTRATION DEADLINE: 24 Feb, 2017.

This two day workshop is being organised by the School of Mathematics,
Statistics and Applied Mathematics, at the National University of
Ireland, Galway.

The aim of the workshop is to bring together people, in the
mathematics and general scientific community, who have particular
interests in the development and applications of numerical methods for
problems that exhibit layer phenomena, such as boundary/interior
layers in fluid flow and other applications.



From: German Larrazabal glarraza@gmail.com
Date: November 18, 2016
Subject: Workshop on Data Mining for Oil & Gas, USA, Apr 2017


Workshop on Data Mining for Oil & Gas
http://dm4og.inesctec.pt
The Westin Galeria Houston, Texas, USA

The topics of interest include, but are not limited to: the accurate
positioning of structures (salt and overthrust), the characterization
of laminated sands and shales, distinguishing commercial from
non-commercial gas, prediction and evaluation of pressure in
reservoirs, fault detection and classification, facies recognition,
exploration in difficult areas, accurate depth imaging,
fluid/permeability prediction, identification and classification of
fractures, uncertainty quantification, environmental issues.

All submitted papers will go through a rigorous double-blind peer
review process, and the workshop proceedings will be published in
electronic format, with CEUR-WS (indexed by DBLP, as well as Scopus).
The submitted paper should have no more than 15 pages, and an
appropriate number of references. It shall contain enough substance
that it can be cited in other publications. Only original papers,
i.e., that have not been published in an earlier workshop or
conference, will be accepted. In order to produce the PDF, we provide
a LaTex template, and an example with author guidelines, at
http://dm4og.inesctec.pt/latex- template-and-sample/at_download/file.
The manuscripts must be submitted through the DM4OG EasyChair
submissions site at https://easychair.org/conferences/?conf=dm4og.

Submission deadline: December 23, 2016
Conference: April 27-29, 2017



From: Clement Cances clement.cances@inria.fr
Date: November 22, 2016
Subject: Finite Volume for Complex Applications, France, Jun 2017


We have the pleasure to announce the 8th edition of the conference
"Finite Volume for Complex Applications". It will take place in Lille
(France), from June 12th to June 16th 2017.

Invited speakers are : A. R. Brodtkorb (SINTEF, Norway); A. Chertock
(North Carolina State Univ., USA); I. Faille (IFP Energies Nouvelles,
France); T. Gallouet (Univ. Aix-Marseille, France); B. Haasdonk
(Univ. Stuttgart, Germany); S. Mishra (ETH Zurich, Switzerland);
E. Fernandez Nieto (Univ. Sevilla, Spain); C. W. Shu (Brown Univ, USA)

See https://indico.math.cnrs.fr/event/1299/overview for more
information.

January 6, 2017 : Submission of full versions of papers

The papers are selected according to a review process. The proceedings
will be published in Springer proceedings in Mathematics &
Statistics.The hardcover book containing all the selected
contributions will be distributed to the participants during the
conference.

We also want to announce that we propose a benchmark on the numerical
simulation of incompressible viscous flows :
https://indico.math.cnrs.fr/event/1299/page/9 If you are interested in
doing this benchmark, you can already send an e- mail to
fvca8-benchmark@univ-lille1.fr. We will add your address in a
mailing-list (benchmark-fvca8-list@univ- lille1.fr), so that we can
send you additional informations for the benchmark if necessary.



From: Alex Barnett ahb@math.dartmouth.edu
Date: November 24, 2016
Subject: Workshop Honoring C. Epstein & L. Greengard, USA, Jun 2017


"Modern Advances in Computational and Applied Mathematics: a workshop
in honor of the birthdays of Charlie Epstein and Leslie Greengard" :
June 9-10, 2017, Yale University, New Haven, CT.

This two-day workshop will feature ten speakers that celebrate the
far-reaching impact in applied mathematics of the work of both Charlie
Epstein and Leslie Greengard, which includes fast algorithms, PDEs and
integral equations, medical imaging, numerical analysis, population
genetics, and data analysis. Registration for the workshop is open to
all and includes poster sessions, a banquet, and plenty of informal
interaction time. Travel/housing support will be provided on a
competitive basis for up to twenty-five early-career researchers
(graduate students, post-docs, etc).

Confirmed invited speakers include: Brian Avants (Biogen); Jon
Wilkening (Berkeley); Adrianna Gillman (Rice); Zydrunas Gimbutas
(NIST); Mary-Catherine Kropinski (Simon Fraser); Antoine Cerfon (NYU);
Jeremy Magland (Simons Foundation); Rachel Ward (UT Austin); Kirill
Serkh (NYU).

More information regarding travel, accommodations, schedule, and
registration will appear at http://epsteingreengard2017.org in early
2017.



From: Sebastien Le Digabel Sebastien.Le.Digabel@gerad.ca
Date: November 22, 2016
Subject: Advances in Continuous Optimization, Canada, Jul 2017


We are pleased to announce the 15th EUROPT Workshop on Advances in
Continuous Optimization, to 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

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: Ivan Ivanov i_ivanov@feb.uni-sofia.bg
Date: November 30, 2016
Subject: Mathematical Modelling and Scientific Computing, Bulgaria, Aug 2017


The goal of MMSC 2017 is to bring together scientists from diverse
areas of mathematics and computer science, as well as their
application in biology, biotechnology, ecology, medicine, physics,
chemistry, engineering, economics, finance, social sciences, etc.
Among the goals of the workshop is the stimulation of new research
cooperations which would lead to novel results.

The workshop is focused on modern aspects of mathematical modelling
and scientific computing that involve deep interplay between
computational problems and pure mathematical modeling questions. We
especially encourage participation of students and early career
researchers.

The submitted abstracts of the conference can be viewed on the website
http://www.biomathforum.org/biomath/index.php/conference/index

For more information please consult the website
http://www.biomath.bg/MMSC2017/index.php


From: Chen Greif greif@cs.ubc.ca
Date: November 26, 2016
Subject: Preconditioning Techniques, Canada, Aug 2017


The 10th International Conference on Preconditioning Techniques for
Scientific and Industrial Applications will take place on July 31 -
August 2, 2017 at the University of British Columbia, Vancouver,
Canada.

Confirmed plenary speakers:
Michele Benzi, Emory University, USA
Jed Brown, University of Colorado at Boulder, USA
Jie Chen, IBM Research Center, USA
Eric Darve, Stanford University, USA
Tom Jonshovel, Schlumberger Abingdon Technology Centre, UK
Alison Ramage, Strathclyde University, UK
Sander Rhebergen, University of Waterloo, Canada
Nicole Spillane, Ecole Polytechnique, France

Additional information can be found at
http://www.cs.ubc.ca/~greif/precon17/


From: Pamela Bye pam.bye@ima.org.uk
Date: November 30, 2016
Subject: Inverse Problems from Theory to Application, UK, Sep 2017


Tuesday 19 - Thursday 21 September 2017
Isaac Newton Institute, Cambridge, UK

An inverse problem denotes the task of computing an unknown physical
quantity from indirect measurements. The corresponding forward problem
maps the physical quantity to the measurements. In most realistic
situations the solution of the inverse problem is challenging,
complicated by incomplete and noisy measurements, as well as
non-invertible forward operators which render the inverse problem
ill-posed (that is lack of stability and/or uniqueness of
solutions). Inverse problems appear in many practical applications in
biology, medicine, weather forecasting, chemistry, engineering,
physics, to name but a few, and their analysis and solution presents
considerable challenges in mathematics and statistics. This conference
will bring together mathematicians and statisticians, working on
theoretical and numerical aspects of inverse problems, and engineers,
physicists and other scientists, working on challenging inverse
problem applications. We welcome industrial representatives, doctoral
students, early career and established academics working in this field
to attend. Conference topics: Imaging; Regularisation theory;
Statistical inverse problems; Sampling; Data assimilation; Inverse
problem applications.

Abstracts should be submitted by 30 April via https://my.ima.org.uk/

For further information on this conference, please visit:
http://ima.org.uk/conferences/conferences_calendar/inverse-problems.html



From: Michael Miksis miksis@northwestern.edu
Date: November 19, 2016
Subject: Faculty Positions, Applied Mathematics, Northwestern Univ


The Department of Engineering Sciences and Applied Mathematics at
Northwestern University
(http://www.mccormick.northwestern.edu/applied- math/) invites
applications for two fulltime, tenure-track faculty positions. Hiring
will be focused on the assistant professor level, although exceptional
applicants at a more senior level will be considered. Requirements
include a Ph.D. and demonstrated ability to conduct high- impact
interdisciplinary research in applied mathematics. Candidates in all
areas are encouraged to apply. We are seeking candidates with strong
connections to applications who can enhance the breadth of research
activities of the department. Duties involve teaching and research.

The application package should include a curriculum vita, a statement
of research accomplishments and interests, and a statement of teaching
experience and philosophy. Send applications to
https://facultysearch.mccormick.northwestern.edu/apply/index/ODg

In addition, the applicant should arrange for at least three, but no
more than four letters of recommendation. Recommendation letters will
be automatically solicited from the letter writers by email after the
names are entered in the online application system. Questions may be
sent to esam-facultysearch@northwestern.edu (Subject line: 2017
Faculty Search). Review of applications began on November 15, 2016,
but will continue until the positions are filled.

For further information, see:
http://www.mccormick.northwestern.edu/applied-math/.

Northwestern University is an Equal Opportunity, Affirmative Action
Employer of all protected classes including veterans and individuals
with disabilities. Women and minorities are encouraged to
apply. Hiring is contingent upon eligibility to work in the United
States.



From: Benito Chen bmchen@uta.edu
Date: November 30, 2016
Subject: Faculty Positions, Mathematics, Univ of Texas at Arlington


The University of Texas at Arlington
Department of Mathematics
Position ID: F00003P

The Department of Mathematics at The University of Texas at Arlington
invites applications for two tenure-track Assistant Professor
positions beginning September 1, 2017. Applicants should have
significant research and scholarly accomplishments in one of the two
following fields. The first field is big data, large scale
computations and optimization. The second field is inverse problems
with special interest in applications to medical imaging.
Demonstrated excellence in research, effective teaching and a strong
potential for external funding are essential. The salary will be
competitive and commensurate with qualifications and experience. The
minimum qualification is an earned Ph.D. in mathematics. At least two
years of experience beyond the Ph.D. is preferable. Duties will
include teaching and mentoring undergraduate and graduate students,
doing scholarly research, writing grant proposals, interdepartmental
collaboration, and department and university service. Successful
candidates will be expected to have close collaborations with other
faculty at UTA in the areas of data driven discovery and health and
human conditions. Applicants must submit electronically via
http://www.mathjobs.org a letter of application plus a complete
curriculum vitae, statement on research interests, statement of
teaching philosophy that addresses evidence of teaching experience and
effectiveness, and an American Mathematical Society (AMS) cover
sheet. Applicants should arrange to have at least three letters of
recommendation uploaded to http://www.mathjobs.org. At least one
should address teaching. Inquiries about the position may be directed
to mathsearch@uta.edu. Review of applications will begin on January
15, 2017, and will continue until the position is filled. Persons from
groups historically underrepresented in Science, Technology,
Engineering and Mathematics are encouraged to apply.

UTA is an Equal Opportunity/Affirmative Action institution.
Minorities, women, veterans and persons with disabilities are
encouraged to apply. Additionally, the University prohibits
discrimination in employment on the basis of sexual orientation. A
criminal background check will be conducted on finalists. The UTA is a
tobacco free campus.



From: Ralph Baker Kearfott rbk@louisiana.edu
Date: November 19, 2016
Subject: Endowed Professorship Position, University of Louisiana


Applications are invited for the position of the Ray P. Authement
Endowed Chair of Computational Mathematics in the Mathematics
Department at the University of Louisiana at Lafayette. Duties will
include teaching primarily at the graduate level, conducting research,
directing graduate students, and engaging in departmental and
professional services. Applicants should have a Ph.D. in mathematics
or a closely related field, with a strong research program and a
commitment to excellence, commensurate with appointment at the rank of
Full Professor. Preference will be given to candidates in the area of
biomathematics who have an outstanding publication record, a strong
history of attracting substantial external funding, and extensive
experience in mentoring doctoral students. The successful candidate
will be expected to provide leadership in enhancing the graduate
program in the department and strengthening interdisciplinary
collaboration with other departments, especially the Department of
Biology.

The appointment will commence August 1, 2017, or at the beginning of a
subsequent term. Salary is competitive, depending on qualifications.

For more information, see:
https://humanresources.louisiana.edu/sites/humanresources/files/SC%203-14.pdf




From: Hans Zwart h.j.zwart@utwente.nl
Date: December 02, 2016
Subject: Assistant Professor Position, Complex Systems, Applied Mathematics


Assistant Professor in Complex Systems at the Department of Applied
Mathematics

See also:
https://www.utwente.nl/en/organization/careers/vacancies/!/vacature/868023

Job description: We are looking for a highly talented research
scientist with a passion for teaching whose focus is on the
development, analysis and application of complex systems and networks,
such as approximation or control for models described by large scale
ordinary and/or partial differential equations. The successful
candidate is expected to have strong affinity with mathematical
analysis. In addition, he or she has the capability to develop
collaboration between mathematics and the multi-disciplinary research
context at the University of Twente is essential. These collaborations
can be established through one of the research institutes, i.e., CTIT
institute on ICT, MESA+ institute for Nanotechnology, or MIRA
institute for biomedical technology and technical medicine. The
candidate will actively participate in the research and teaching
within the Department of Applied Mathematics and develop a profile by
collaborating with colleagues at CTIT, MESA+ or MIRA.



From: Wendell Chau wendell@informadv.com
Date: November 22, 2016
Subject: Associate Professor / Assistant Professor Position, CUHK


Department of Mathematics
Associate Professor / Assistant Professor
(Ref. 16000267) (Closing date: June 30, 2017)

Founded in 1963, The Chinese University of Hong Kong (CUHK) is a
forward-looking comprehensive research university with a global vision
and a mission to combine tradition with modernity, and to bring
together China and the West. The Department of Mathematics in CUHK has
developed a strong reputation in teaching and research. Many faculty
members are internationally renowned and are recipients of prestigious
awards and honors. The graduates are successful in both academia and
industry. The Department is highly ranked internationally. According
to the latest rankings, the Department is 39th in the Academic Ranking
of World Universities, 27th in the QS World University Rankings and
28th in the US News Rankings. The Department of Mathematics is now
inviting applications for a substantiable-track faculty position at
the Associate Professor / Assistant Professor level. Candidates with
strong evidence of outstanding research accomplishments and promise in
both research and teaching in Optimization or related fields in
Applied Mathematics are encouraged to apply. Appointment will normally
be made on contract basis for up to three years initially commencing
August 2017, which, subject to mutual agreement, may lead to
longer-term appointment or substantiation later. The applications will
be considered on a continuing basis but candidates are encouraged to
apply by January 31, 2017.

Application Procedure: The University only accepts and considers
applications submitted online for the post above. For more information
and to apply online, please visit http://career.cuhk.edu.hk.



From: Wendell Chau wendell@informadv.com
Date: November 22, 2016
Subject: Research Assistant Professor Position, CUHK


Department of Mathematics
Research Assistant Professor
(Ref. 1600027V) (Closing date: June 30, 2017)

Founded in 1963, The Chinese University of Hong Kong (CUHK) is a
forward-looking comprehensive research university with a global vision
and a mission to combine tradition with modernity, and to bring
together China and the West. The Department of Mathematics in CUHK has
developed a strong reputation in teaching and research. Many faculty
members are internationally renowned and are recipients of prestigious
awards and honors. The graduates are successful in both academia and
industry. The Department is highly ranked internationally. According
to the latest rankings, the Department is 39th in the Academic Ranking
of World Universities, 27th in the QS World University Rankings and
28th in the US News Rankings. The Department of Mathematics is now
inviting applications for a position of Research Assistant Professor
in all areas of Mathematics. Applicants should have a relevant PhD
degree and good potential for research and teaching. Appointment will
initially be made on contract basis for up to three years commencing
August 2017, renewable subject to mutual agreement. The applications
will be considered on a continuing basis but candidates are encouraged
to apply by January 31, 2017.

Application Procedure
The University only accepts and considers applications submitted
online for the post above. For more information and to apply
online, please visit http://career.cuhk.edu.hk.



From: Annalisa Quaini quaini@math.uh.edu
Date: November 16, 2016
Subject: Research Associate Position, Univ of Houston


The Mathematics Department in the College of Natural Sciences and
Mathematics at the University of Houston expects to hire Research
Associate 1 effective January 1, 2017 or September 1 2017. The
position will be for two years, with the possibility of a one-year
renewal. The successful applicant will conduct research in an area
compatible with the research interests of the Mathematics
Department. For this position we are especially interested in
computational mathematics, mathematical medicine, mathematical biology
or related areas. In addition the successful applicant may teach up to
one course per semester. Minimum Qualifications: Ph.D. Degree with 2
years experience.

The screening of the applicants will start as soon as possible and the
search will continue until the position is filled. The University of
Houston one of the most diverse research universities in the
nation. It is an Equal Opportunity/Affirmative Action
employer. Minorities, women, veterans and persons with disabilities
are encouraged to apply. The University of Houston is a Tobacco free
campus.

Please apply at
https://www.mathjobs.org/jobs/jobs/9160
and
https://jobs.uh.edu/postings/32546



From: Stefan Wild wild@anl.gov
Date: November 27, 2016
Subject: Research Positions, Argonne National Laboratory


The Mathematics and Computer Science Division at Argonne National
Laboratory has multiple new openings for researchers at all career
levels (from postdoctoral associates to senior staff researchers and
software developers). The openings span innovative areas of computer
science and applied mathematics, including novel algorithms, analysis
techniques embodied in open-source software, data-intensive science,
and emerging hardware architectures.

The following applied mathematics areas are of special interest:
- Data assimilation and inverse problems
- High-order methods for PDEs/CFD
- Nonlinear optimization
- Numerical linear algebra focusing on highly scalable preconditioners
- Machine learning, data analysis, and applied statistics
- Numerical methods for ordinary and partial differential equations
- Statistical inference and analysis, sampling, and spectral estimation
- Stochastic processes and stochastic differential equations
- Automatic/algorithmic differentiation

For more information & to apply (level commensurate with experience):
- Applied math staff & postdoctoral researchers: http://bit.ly/2eZsoRM
- Computer science & postdoctoral researchers: http://bit.ly/2g8mOPv
- Software development specialists: http://bit.ly/2fsPjW5

Openings are available immediately, but there is flexibility in start
dates for highly qualified candidates. You can find more information
on focus areas at Argonne at http://www.mcs.anl.gov/research . Feel
free to contact staff members directly by email with specific
questions.



From: Lianjie Huang ljh@lanl.gov
Date: December 02, 2016
Subject: Postdoc Position, Geophysical and Medical Imaging, LANL


We seek outstanding candidates for a Postdoctoral Research Associate
position to conduct interdisciplinary research in geophysical and
medical imaging. The successful candidate will develop novel acoustic-
and elastic-wave imaging and inversion/tomography methods, and apply
them to seismic data for subsurface characterization and monitoring,
and to phantom and in vivo patient ultrasound data for cancer
detection and characterization. Research will include development of
novel imaging/inversion methods, implementation of the algorithms on
super-computers, and applications to real data.

Minimum Job Requirements: Strong background in acoustic- and
elastic-wave imaging/inversion or in numerical modeling of wave
propagation; Proficiency in programming using Fortran/C.

Desired Skills: Hands-on experience in designing and conducting
laboratory experiments, and experience in using Verasonics ultrasound
data acquisition systems; Experience in parallel computing;
Demonstrated ability to work creatively and independently and in a
team environment; Demonstrated ability to plan and organize
assignments to meet project deliverables.

Education: PhD in related field completed within the past five years
or soon to be completed.

Notes to Applicants: In addition to submitting a CV, please submit a
cover letter briefly addressing how you meet the minimum job
requirements and describe the desired skills. CV should include
educational background with degree dates and GPAs with scale,
experience and expertise, a list of peer-reviewed publications and
conference presentations, competitive honors/awards, and contact
information of four references.

To Apply: Go to http://www.lanl.gov under Careers, Career Options
-> Apply for a job -> enter job # IRC53606. Hit the "apply now"
button. You will be prompted to a LOGIN. You will need to
register before you can apply if you have not registered already.



From: Hilary Weller h.weller@reading.ac.uk
Date: December 02, 2016
Subject: Postdoc Position, Moving Meshes with Optimal Transport, Reading


A post-doctoral research assistant at the University of Reading is
sought to work on mesh generation using optimal transport techniques
and atmospheric modelling on r-adaptive meshes. This is part of the
NERC funded project "Moving meshes for Global Atmospheric Modelling"
joint with the University of Bath (Prof Chris Budd, Mathematics) and
Imperial College London (Dr Colin Cotter, Mathematics). We are
developing novel mathematical techniques involving optimal transport
and solving partial differential equations using an advanced C++
library (OpenFOAM). The use of adaptive meshes could enable more
accurate and efficient weather prediction models and predictions of
the regional impacts of climate change.

Further details:
http://www.met.reading.ac.uk/~sws02hs/movingMeshJobAdvert.pdf

Apply at:
https://jobs.reading.ac.uk/displayjob.aspx?jobid=283


From: Borek Patzak borek.patzak@fsv.cvut.cz
Date: November 24, 2016
Subject: Postdoc Position, Numerical Modeling, Czech Technical Univ


Department of Mechanics at Faculty of Civil Engineering, Czech
Technical University offers PostDoc position in the frame of EU funded
H2020 research project "Multi-scale Composite Material Selection
Platform with a Seamless Integration of Materials Models and
Multidisciplinary Design Framework (COMPOSELECTOR)".

The prospective candidate will participate in further design and
development of open-source integration platform MuPIF (www.mupif.org),
integration of external simulation packages, and develop database and
BDSS interfaces. This tool will provide distributed environment for
interactive simulations build from independent components supporting
transparent data exchange, steering, and visualization. We offer a
possibility to work in dynamic research group during the period
01/2017-12/2019 (4 years, starting date to negotiate), gross salary up
to 70k CZK (2600 EUR), possibility to establish cooperation and
contacts at international level.

Requirements: Communication skills and written/verbal knowledge of the
English language, MSc or PhD degree in the related field,
motivation. The knowledge and skills in software design,
object-oriented design, software development, Python, distributed
computing, and numerical modeling are required.

Application: Interested candidates are invited to send their
applications no later than 20 th December, 2016. The application must
contain a Curriculum Vitae (one page), a motivation letter (two
pages), stating personal goals and research interests in relation to
the research topic, detailed list of publications, and at least two
recommendation letters.

Contacts: Prof. Dr. Ing. Borek Patzak (borek.patzak@fsv.cvut.cz),
Doc. Ing. Vit Smilauer, PhD. (vit.smilauer@fsv.cvut.cz).



From: Adrianna Gillman adrianna.gillman@rice.edu
Date: November 18, 2016
Subject: Postdoc Position, Numerical PDEs, Rice Univ


The Department of Computational and Applied Mathematics (CAAM) at Rice
University in Houston, Texas, invites applications for a postdoctoral
research associate position.

An ideal candidate will have experience in parallel programing and/or
numerical partial differential equations. Experience in programming
for GPU and many-core architectures is a plus. Key aspects of the
research include developing a HPC high frequency Helmholtz solver for
problems with heterogeneous media as seen in industrial seismic
inversion problems. Ideally candidates will have an understanding of
the numerical difficulties associated with robustly solving high
frequency wave problems and/or the computational difficulties of
developing HPC partial differential equation solvers. The project will
involve collaboration on an industrial project.

The full job posting is available at
http://www.caam.rice.edu/~gillmana/AG_postdoc.pdf



From: Chimene recruitingads@sandia.gov
Date: November 18, 2016
Subject: Postdoc Position, Sandia National Labs


To Apply for the following position: Apply at:
http://sandia.gov/careers/search-openings.html. Click on Search for
Openings, and type the Job ID number 655534 into the Keywords
box. Click on the Search button to access this job opening, and
complete an online application.

The Scalable Algorithms Department in the Center for Computing
Research is seeking a Postdoctoral Appointee to conduct cutting-edge
research and development (R&D) in parallel algorithms and programming
models for next-generation high performance computing (HPC)
architectures, such as Intel Knights Landing (KNL) and NVIDIA Pascal
GPU. The goal of this R&D is to provide a breadth of applications with
algorithmic patterns and high quality software that will enable these
applications to realize their full performance potential on exascale
HPC architectures. Our ongoing R&D is delivered through Sandia's
Kokkos library, a C++ programming model that enables development of
performance portable HPC applications across a breadth of engineering,
scientific, and data analytics domains. We are at the center of
cross-domain collaborations among HPC application and library
development; programming language standards evolution; compiler,
runtime, hardware R&D; and national laboratories, universities, and
HPC vendors.

Required: Ph.D. in mathematics, computer science, or related
engineering or science discipline obtained within the last five years;
Advanced experience with developing software in the C++ language,
including the use of templates; Experience with shared memory parallel
programming in CUDA, OpenMP, OpenACC, and/or raw threads; Experience
with parallel algorithm research and software development for
applications and/or mathematical libraries; Experience utilizing
high-concurrency architectures such as Intel Xeon Phi and NVIDIA GPU
for thread-scalable parallel algorithms; Experience working in
collaborative software development environments utilizing software
configuration management tools and practices; Research experience as
demonstrated by technical publications or presentations.



From: Dagmar Iber dagmar.iber@bsse.ethz.ch
Date: November 16, 2016
Subject: Postdoc Position, Scientific Computing, ETH Zurich


The Computational Biology Group (Prof Dagmar Iber,
www.cobi.bsse.ethz.ch) at D-BSSE, ETH Zurich seeks a Post-Doc/Senior
Scientist in scientific computing. Prior experience with biological
systems is not required. The group mainly focuses on 2D and 3D
image-based modelling and simulation of mouse organogenesis and seeks
a senior scientist with long-standing experience in related
computational techniques. In particular, we seek to develop methods to
1) perform image-based parameter estimation for
reaction-advection-diffusion PDE models, 2) enhance the efficiency of
the simulations to facilitate simulations on growing 3D embryonic
domains, and 3) simulate the mechanical properties of the developing
tissue (fluid-structure interactions - FSI).

The successful applicant must be self-motivated and enthusiastic to
develop novel algorithms that enable ambitious, cutting-edge research
at the interphase of developmental and computational biology. The
candidate should have long-standing experience with suitable numerical
methods, including FEM, level set / phase field methods, ALE, and
parameter estimation techniques. The group currently mainly uses a
commercial FEM software package (COMSOL), but would very much welcome
prior experience with academic FEM packages (such as AMDiS, deal.II,
Dune, FEniCS). LBIBCell, our C++ software to simulate tissue as
Navier-Stokes fluid with cells represented by immersed boundary
conditions (FSI), is based on the Lattice-Boltzmann method.

The position is available to start immediately. The salary is
internationally highly competitive. The working language is English.
The Department of Biosystems, Science and Engineering (D-BSSE) of ETH
Zurich is located in Basel, a European hotspot for biomedical research
and the pharmaceutical and biotech industry. ETH Zurich is a major
research university, offering an excellent environment for innovative
and collaborative research across disciplines.

Please send a complete application with CV, letter of motivation, and
the name of two academic referees to: dagmar.iber@bsse.ethz.ch.



From: Tan Bui-Thanh tanbui@ices.utexas.edu
Date: November 28, 2016
Subject: Postdoc Position, UQ, UT Austin


The Institute for Computational Engineering and Sciences at the
University of Texas at Austin, is seeking a Postdoc to conduct
research in computational and mathematical methods in the broad area
of optimization under uncertainty and uncertainty quantification for
large-scale Inverse problems. Areas of interest in algorithms include,
for example, numerical optimization, large-scale inverse problems,
statistical inference, PDE-constrained and risk-averse optimization,
and multilevel and multifidelity methods.

Requirement: PhD in computational applied Math or related areas such
as computational engineering. Having experience in computational
inverse problem, optimization, and numerical methods for PDEs is a
plus.

Please contact Tan Bui-Thanh at tanbui@ices.utexas.edu for more
details.

Salary: 60K/year for at least two years

Availability: Immediate



From: Heather Craddock heather.craddock@penna.com
Date: November 18, 2016
Subject: Postdoc Position, Univ of Warwick Research


Research Fellow (78765) - University of Warwick Applications are
invited for a number of postdoctoral research fellow positions to work
on the 2.6m EPSRC-funded Programme Grant EQUIP (Enabling
Quantification of Uncertainty for Inverse Problems). Posts will be
based at the University of Warwick, Heriot-Watt University, or at
Imperial College. Each will have a one year duration, and may start
at a mutually agreed date in the calendar year 2017.

EQUIP tackles a number of key methodological and theoretical
challenges arising in the solution of statistical inverse problems,
primarily driven by applications in subsurface inversion such as
groundwater flow, oil and gas reservoirs and carbon sequestration but
researchers with interest in the solution of inverse problems arising
in other application domains, such as biology, medicine and the social
sciences are also encouraged to apply.

The EQUIP team comprises Mike Christie (Heriot-Watt), Charlie Elliott
(Warwick), Mark Girolami (currently Warwick, Imperial College from
January 2017) and Gareth Roberts (Warwick). There is the possibility
of spending part of the postdoctoral appointment at Caltech working
with Andrew Stuart who is a co-investigator on the grant. Applicants
with expertise in the areas of inverse problems, numerical analysis,
computational partial differential equations, computational statistics
and theoretical statistics are encouraged to apply.

For details, please go to the University of Warwick HR pages.



From: Mini Das mdas@uh.edu
Date: November 17, 2016
Subject: Postdoc Position/Research Associate, Imaging


Postdoctoral Postion/Research Associate position is available to work
on projects related advanced imaging techniques. The proposed ideas
relate to solving "phase problems" in x-ray imaging, decomposition
methods when spectral data is available using known transport models,
Monte Carlo simulations and analytical approaches for novel and
multi-modality imaging systems including x-ray acoustic and
optical. You will have the opportunity to work on forward imaging
models as well as inverse problems (retrieval, computed
tomography). The position offers competitive package and opportunities
for career growth and excellent prospects for jobs in multiple
fields. Require a PhD in Physics or Engineering with excellent
numerical and computational abilities and proven productivity via
publications and presentations. Fast prototyping skills for new ideas
is an advantage as is the ability to work collaboratively with
experimentalists. Excellent computational skills in C/C++, Matlab, IDL
or Python is required. Shell scripting experience is an added
advantage. Please send your CV and a cover letter directly to
Dr. Mini Das (mdas@uh.edu). For more details please visit:
http://www.ipl.uh.edu . University of Houston is centrally located in
Houston, minutes from Downtown and multiple medical schools.



From: Markus Rampp mjr@mpcdf.mpg.de
Date: December 01, 2016
Subject: Postdoc Positions, HPC, Germany


The Max Planck Computing and Data Facility (MPCDF), in collaboration
with theory groups of several Max Planck Institutes working in the
fields of Materials- and Bio-Sciences, Plasmaphysics and Astrophysics,
is looking for Computational Scientists or HPC application experts
(postdoc positions). The candidate will be associated with the HPC
applications group at the MPCDF and will work on the development and
optimization of scientific high-performance computing (HPC) simulation
codes and their extension to exascale architectures
(e.g. OpenPower+Tesla, Xeon Phi) as well as on data-intensive
applications. Specific projects include (but are not limited to) the
optimization of HPC simulation codes such as OCTOPUS, FHI-aims, GENE,
VERTEX, and others, development and optimization of domain-specific
libraries such as SeLaLib, development and implementation of new
concepts e.g. for achieving fault tolerance and performance
portability on massively parallel and heterogeneous HPC architectures,
analysis and visualization of large-scale data from experiments, like,
e.g. from atom-probe crystallography, or from serial block face
multibeam electron microscopy, as well as from simulation data,
e.g. in the context of the NOMAD (Novel Materials Discovery
Laboratory) EU Center of Excellence.

The applicant should have a PhD in Physics, applied Mathematics,
Computer Science or a similar subject. A strong background in parallel
programming (ideally with modern Fortran and/or C, C++, together with
MPI, OpenMP), some experience with large code projects and high
performance computing or data analytics are necessary. We offer the
opportunity to work on state-of-the-art numerical algorithms, leading
HPC codes and latest supercomputer technology and to maintain close
collaborations with the code owners and domain scientists from various
Max Planck Institutes e.g. in astrophysics, fusion research, materials
and bio sciences, polymer research, and theoretical
chemistry. Scientific domain expertise in one of the fields or
experience with large-scale data analysis is an asset but not
obligatory, For detailed information, please visit
http://www.mpcdf.mpg.de/about-mpcdf/career/jobs/



From: Sherry Li xsli@lbl.gov
Date: November 20, 2016
Subject: Postdoc Positions, Sparse Linear Algebra, Lawrence Berkeley Lab


Berkeley Lab's Scalable Solvers Group in the Computational Research
Division has a couple of immediate openings for postdoctoral fellows
to design and implement highly parallel sparse matrix algorithms
targeted for the exascale. The candidate will participate in projects
to develop next-generation sparse factorization based algebraic
solvers and preconditioners, to integrate the new solvers into other
higher level algebraic solvers and high-end simulation codes, to
analyze algorithmic complexity and performance profile of the new
algorithms and codes, and to optimize the codes on emerging
supercomputers built from multi- and manycore processors.

Please follow the link below to see more details and to apply online:
https://lbl.taleo.net/careersection/2/jobdetail.ftl?lang=en&job=83138


From: Sabine Le Borne leborne@tuhh.de
Date: November 17, 2016
Subject: PhD Position, Hamburg Univ of Technology


The Math Department of Hamburg University of Technology (Germany) is
seeking a PhD student in the field of Numerical Linear Algebra/Solvers
for linear systems of equations/Rank structured matrices. Besides
research, the open position includes teaching responsibilities (in
German). The position starts April 16, 2017, and it is limited to
four years. The salary level is according to the German public
service regulation (TV-L 13).

Additional information is available at
https://intranet.tuhh.de/aktuell/stellen/stelle.html?kenn_nr=H-16-183&intern=1

Applications should be sent electronically as a single

PDF file to leborne@tuhh.de by December 16, 2016.



From: Roy Goodman goodman@njit.edu
Date: December 03, 2016
Subject: PhD Positions, Applied Math and Probability & Statistics, NJIT


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,
Mathematical Biology, Computational Neuroscience, and Applied
Probability & Statistics, including Biostatistics. Teaching and
research assistantships are available, and include a tuition waiver
and a competitive stipend. Applications are due December 15, 2016, but
this is a soft target date: applications will be accepted and ongoing
review will continue until end of January 2017 or until all available
positions are filled. For more information, please email us
(math@njit.edu, CC to:matveev@njit.edu, rmoore@njit.edu) or visit our
websites:

PhD Program Details:
http://catalog.njit.edu/graduate/science-liberal-arts/mathematical-sciences/phd/index.html

PhD Admissions Information:
http://catalog.njit.edu/graduate/admissions-financial-support/admissions/

On-line application portal:
http://www.njit.edu/admissions/apply-online.php

Advertisement flyer:
http://web.njit.edu/~matveev/NJIT_DMS_PhD_flyer.pdf

NJIT Department of Math Sciences homepage:
http://math.njit.edu


From: Xing Cai xingca@simula.no
Date: November 16, 2016
Subject: PhD Positions, Simula Research Laboratory


There are currently two open PhD positions at Simula Research
Laboratory, Norway. Both the 3-year PhD positions are in the field of
high-performance scientific computing. More detailed job announcements
can be found at the following webpage:
https://www.simula.no/about/available-jobs

Deadline for applications: December 12, 2016.


From: Urfat Nuriyev jomardpublishing@gmail.com
Date: November 22, 2016
Subject: Contents, Advanced Mathematical Models and Applications, 1 (1)


Advanced Mathematical Models and Applications
ISSN 2519-4445
Contents Vol.1, No.1, 2016

N.K. Gursoy, U. Nuriyev, Some Inequalities for Algebra of Fractions
and its Applications

A. Aliyeva, On an Domain Optimization Problem for Pauli Operator

A.H. Huseynov, Agent Technology at Computing Option of Flexible
Manufacture System Element and Composed Structure

K. Pattabiraman, F -Indices and its Coindices of Chemical Graphs

N.Sh. Huseynova, M.Sh. Orucova, On an Inverse Problem Relatively
Potential and its Solution

N.V. Bayramova, A.J. Huseynova, The Solution of Nonlinear Boundary
Value Problem in an Unbounded Domain

N. Allahverdiyeva (pp.50-55), On an Optimization Problem for the
Eigenvalues

S. Jothimani, T. Jenitha Premalatha, \Pi g \beta Normal Space in
Intuitioitic Fuzzy Topology



From: Lars Eldén lars.elden@liu.se
Date: December 05, 2016
Subject: Contents, BIT Numerical Mathematics, 56 (4)


Preface to BIT 56:4
Lars Elden

Bivariate hierarchical Hermite spline quasi-interpolation, Cesare
Bracco, Carlotta Giannelli, Francesca Mazzia and Alessandra Sestini

Symmetric general linear methods, J. C. Butcher, A. T. Hill and
T. J. T. Norton

Restarted Q-Arnoldi-type methods exploiting symmetry in quadratic
eigenvalue problems, Carmen Campos and Jose E. Roman

A numerical approach for the Poisson equation in a planar domain with
a small inclusion, Lucas Chesnel and Xavier Claeys

A normalized representation of super splines of arbitrary degree on
Powell-Sabin triangulations, Jan Groselj

The saddle point problem and the Manteuffel algorithm, Apostolos
Hadjidimos

High-order splitting schemes for semilinear evolution equations, Eskil
Hansen and Alexander Ostermann

Invariants preserving schemes based on explicit Runge-Kutta methods,
H. Kojima

On the convergence of collocation solutions in continuous piecewise
polynomial spaces for Volterra integral equations, Hui Liang and
Hermann Brunner

Analysis of the dipole simulation method for two-dimensional Dirichlet
problems in Jordan regions with analytic boundaries, Koya Sakakibara

Radial basis function partition of unity operator splitting method for
pricing multi-asset American options, Victor Shcherbakov

A tensor-based dictionary learning approach to tomographic image
reconstruction, Sara Soltani, Misha E. Kilmer and Per Christian Hansen

Necessary conditions for convergence of difference schemes for
fractional-derivative two-point boundary value problems, Martin
Stynes, Eugene O'Riordan and Jose Luis Gracia

Entropy solutions of the compressible Euler equations, Magnus Svard

Projection methods for stochastic differential equations with
conserved quantities, Weien Zhou, Liying Zhang, Jialin Hong and Songhe
Song



From: Chiang Kao jomardpublishing@gmail.com
Date: December 05, 2016
Subject: Contents, J Modern Technology and Engineering, 1 (1)


Journal of Modern Technology and Engineering V1 N1, 2016
ISSN 2519-4836,
http://jomardpublishing.com/journals.aspx?
lang=en&id=1&menu=8&info=Journal%20of%20Modern%20Technolog
y%20and%20Engineering%20/%20Editorial%20Board

CONTENTS

Z.N. Milovanovic, S.D. Milovanovic, Hybrid Systems Based on the Solar
and Wind Potential in the Banja Luka Region

A.B. Hasanov, Distribution of Non-Stationary Viscoelastic Waves to
Porous Environments

E. Nuri, F. Nuriyeva, E. Nasiboglu, A Fuzzy Model of the Problem of
Optimal Placement and Integration of Offshore Oil and Gas Platforms

A. Ghuseynov, Informing Knowledge Control of Computing Design of
Flexible Manufacturing System

G.A. Rustamov, U.Kh. Agayev, A.T. Mammadova, Computer Technologies of
Design of the Phase Portraits of Dynamic Systems

K. Pattabiraman, P. Kandan, On the Fifth Atom-Bond Connectivity Index
of Armchair Polyhex Nanotube



From: Raimondas Ciegis rc@vgtu.lt
Date: November 20, 2016
Subject: Contents, Mathematical Modelling and Analysis, 21 (6)


MATHEMATICAL MODELLING AND ANALYSIS
The Baltic Journal on Mathematical Applications, Numerical Analysis
and Differential Equations
ISSN 1392-6292, ISSN 1648-3510 online, Electronical edition:
http://www.tandfonline.com/TMMA

Volume 21, Number 6, November 2016

Reza Parvaz, Mohammad Zarebnia and Amir Saboor Bagherzadeh, Deviation
of the Error Estimation for Second Order Fredholm-Volterra Integro
Differential Equations

Huili Ma and Hui Feng, Dynamic Analysis for Bertrand Competition Model
with Exponential Form

Virginija Garbaliauskien{\. {e}} and Antanas Laurin{\v {c}}ikas, A
Joint Elliott Type Theorem for Twists of $L$-Functions of Elliptic
Curves

Selim A. Mohammadein and Khaled G. Mohamed, Growth of a Gas Bubble in
a Steady Diffusion Field in a Tissue Undergoing Decompression

Laurence Grammont, Mario Ahues and Hanane Kaboul, An Extension of the
Product Integration Method to $L^1$ with Applications in Astrophysics

Paolo Acquistapace, Anna P. Candeloro, Vladimir Georgiev and Maria
L. Manca, Mathematical Phase Model of Neural Populations Interaction
in Modulation of REM/NREM Sleep

Satish Shukla, Dhananjay Gopal and Rosana
Rodr{\'{\i}}guez-L{\'{o}}pez,
Fuzzy-Pre{\v{s}}i{\'{c}}-{\'{C}}iri{\'{c}} Operators and Applications
to Certain Nonlinear Differential Equations

Gorana Aras-Gazi\'{c}, Josip Pe\v{c}ari\'{c} and Ana Vukeli\'{c},
Integral Error Representation of Hermite Interpolating Polynomial and
Related Inequalities for Quadrature Formulae

Ashraf M. Zenkour, Torsional Dynamic Response of a Carbon Nanotube
Embedded in Visco-Pasternak's Medium



From: Romas Baronas romas.baronas@mif.vu.lt
Date: December 06, 2016
Subject: Contents, Nonlinear Analysis: Modelling and Control, 22 (1)


Nonlinear Analysis: Modelling and Control, ISSN 1392-5113,
Volume 22, Number 1, 2017
A free on-line edition is available at: http://www.mii.lt/NA/

TABLE OF CONTENTS

Positive solutions for a class of fractional boundary value problems,
Jiafa Xu, Zhongli Wei

Nonlinear studies on the effect of non-uniform heat
generation/absorption on hydromagnetic flow of nanofluid over a
vertical plate, Abdul Kafoor Abdul Hakeem, Bhose Ganga, Sait Mohamed
Yusuff Ansari, Nagaraj Vishnu Ganesh, Mohammad Mansur Rahman

Solution of Volterra integral inclusion in b-metric spaces via new
fixed point theorem, Muhammad Usman Ali, Tayyab Kamran, Mihai
Postolache

Bifurcation analysis for a singular differential system with two
parameters via to topological degree theory, Lishan Liu, Fenglong Sun,
Xinguang Zhang, Yonghong Wu

Rational g-\omega-weak contractions and fixed point theorems in
0-\sigma-complete metric-like spaces, Hemant Kumar Nashine, Anita
Gupta,
Zoran Kadelburg

Stability analyses of deterministic and stochastic SEIRI epidemic
models with nonlinear incidence rates and distributed delay, Hong
Zhang, Juan Xia, Paul Georgescu

Fixed point teorems for multivalued maps via new auxiliary function,
Muhammad Usman Ali, Calogero Vetro

Existence of positive solutions for a singular fractional oundary
value problem, Johnny Henderson, Rodica Luca

Investigation of symmetric non-spherical particle shapes by applying
low-resolution spherical harmonics, Urte Radvilaite, Rimantas
Kacianauskas, Dainius Rusakevicius

On economic-technological optimization of high-voltage electric
cables, Mecislavas Meilunas, Audrius Ilgevicius, Olga Suboc, Gerda
Jankeviciute, Raimondas Ciegis



From: Ke Chen k.chen@liverpool.ac.uk
Date: December 06, 2016
Subject: Contexts, J Algorithms & Computational Technology, 10 (4)


Journal of Algorithms & Computational Technology
December 2016; 10 (4)
Special Issue: Mathematical Imaging
Guest editors: Ke Chen and Choi-Hong Lai

A practical guideline for T1 reconstruction from various flip angles
in MRI, C Sandmann et al.

Vessel tree extraction using radius-lifted keypoints searching scheme
and anisotropic fast marching method, D. Chen et al.

Primal-dual method to smoothing TV-based model for image denoising, Z
J Zhi et al.

An effective variational model for simultaneous reconstruction and
segmentation of blurred images, B.Williams et al.

A new image deconvolution method with fractional regularisation,
B.Williams et al.

A fast Total Variation-based iterative algorithm for digital breast
tomosynthesis image reconstruction, E Piccolomini et al.

Visualizing whole-body treatment response heterogeneity using multi-
parametric magnetic resonance imaging, M. Blackledge et al.

Stabilised bias field: segmentation with intensity inhomogeneity, J
Spencer et al.

An improved model for joint segmentation and registration based on
linear curvature smoother, et al., M Ibrahim et al.

A new augmented Lagrangian primal dual algorithm for elastica
regularization, J P Zhang et al.

See details from http://act.sagepub.com/content/current


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