NA Digest, V. 16, # 46

NA Digest Wednesday, December 21, 2016 Volume 16 : Issue 46


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: Nick Trefethen trefethen@maths.ox.ac.uk
Date: December 16, 2016
Subject: Chebfun v5.6.0 release


The Chebfun team is pleased to announce the release of Chebfun
v5.6.0 for numerical computing with functions in 1D, 2D, and 3D.
Some noteworthy features are listed below; see
http://www.chebfun.org/news/ for full information.

* DISKFUN for functions on the unit disk.

* GALLERYSPHERE collection of functions on the unit sphere

* TRIGRATINTERP and TRIGREMEZ for periodic rational approximation

* AAA for rational approximation on real or complex domains

* ADJOINT for computing the adjoint of a chebop.

* CHEBFUN2/EIG for eigenvalues of a chebfun2 (kernel of operator)

* Improvements to SPIN/SPIN2/SPIN3 for stiff PDEs

* New capabilities for composing chebfun/chebfun2/chebfun3 objects.

* List of publications at http://www.chebfun.org/publications .

We hope you enjoy the new release. If you have questions
or comments, we encourage you to post to the Chebfun users group,
https://groups.google.com/forum/#!forum/chebfun-users.


From: Steffen Boerm sb@informatik.uni-kiel.de
Date: December 18, 2016
Subject: Release 3.0.1 of H2Lib


We are happy to announce the release 3.0.1 of our H2Lib package.

H2Lib is an open-source software library for hierarchical matrices and
H^2-matrices. Using state-of-the-art arithmetic algorithms, we can
construct efficient and robust preconditioners for elliptic partial
differential equations and integral equations, and modern compression
techniques (e.g. GCA) allow us to handle boundary integral equations
with millions of degrees of freedom efficiently.

H2Lib features: efficient arithmetic algorithms for hierarchical
matrices (matrix multiplication, inversion, factorization), efficient
compression algorithms for integral equations (interpolation, cross
approximation, hybrid cross approximation), and efficient conversion
algorithms for creating H^2-matrices (converting hierarchical matrices
on the fly).

The new release adds support for directional compression of Helmholtz
integral operators (DH^2-matrix representation and algebraic
recompression), accelerated quadrature functions (SSE, AVX, OpenCL),
and lowest-order Raviart-Thomas finite elements (Darcy's equation of
groundwater flow).

H2Lib is open source under the GNU public license and can be
downloaded directly from GitHub or via our homepage
http://www.h2lib.org



From: Bruce Bailey Bailey@siam.org
Date: December 14, 2016
Subject: New Book, Barriers and Transport in Unsteady Flows


Barriers and Transport in Unsteady Flows: A Melnikov Approach by
Sanjeeva Balasuriya

2016 / xiv + 264 pages / Softcover / 978-1-611974-57-7 / List Price
$84.00 / SIAM Member Price $58.80 / MM21

Fluids that mix at geophysical or microscales tend to form well-mixed
areas and regions of coherent blobs. The Antarctic circumpolar vortex,
which mostly retains its structure while moving unsteadily in the
atmosphere, is an example of a coherent structure. How do such
structures exchange fluid with their surroundings? What is the impact
on global mixing? What is the "boundary" of the structure, and how
does it move? Can these questions be answered from time-varying
observational data?

This book addresses these issues from the perspective of the
differential equations that must be obeyed by fluid particles. In
these terms, identification of the boundaries of coherent structures
(i.e., "flow barriers"), quantification of transport across them,
control of the locations of these barriers, and optimization of
transport across them are developed using a rigorous mathematical
framework. The concepts are illustrated with an array of theoretical
and applied examples that arise from oceanography and microfluidics.

To order or for more about this book, including links to its table of
contents, preface, and index, please visit
http://bookstore.siam.org/MM21/.



From: Pietro Zanotti pietro.zanotti@unimi.it
Date: December 20, 2016
Subject: Nonconforming and DG Methods, Italy, Jan 2017


The workshop Nonconforming and Discontinuous Galerkin Methods will be
held at the Department of Mathematics "F. Enriques" of the Universita
degli Studi di Milano on Friday, January 27, 2017.

The list of speakers includes Paola Antonietti; Blanca Ayuso de Dios;
Franco Brezzi; Alexandre Ern; Dietmar Gallistl; Thirupathi Gudi; Guido
Kanschat; and Charalambos Makridakis (to be confirmed).

The participation is free; see also
http://www.mat.unimi.it/users/veeser/nc-dg-2017/

For organization reasons, please send an e-mail to
pietro.zanotti@unimi.it if you plan to attend.


From: Valeriya Naumova valeriya@simula.no
Date: December 14, 2016
Subject: Computational Physiology, Norway, Mar 2017


We would like to advertise the Modelling Week on Computational
Physiology: Risk Stratification Models and Tools (ComPh), which will
be held at Simula Research Laboratory, Oslo, Norway, on March 20-24,
2017.

The 5-day event will provide the unique training opportunities for
students in natural sciences to explore and design computational tools
for modelling and data analysis from existing and developing
experimental modalities in various biomedical fields (cardiology,
cancer, etc.). Starting with a gentle introduction to biostatistics,
system biology, computational physiology, and big data analysis, the
course will discuss state-of-the-art techniques in the corresponding
fields as well as their translatability to scientific and industrial
applications as well as routine clinical use. Practical projects
outlining industrial and societal challenges will give the opportunity
to have hands on experience and apply the techniques to real-life
problems.

This event, co-funded by the MI-NET COST Action, aims at contributing
to promote the industrial-driven research and innovation at
universities as well as to encourage female involvement in natural
sciences. The event is open to everyone with an interest in the
topics and techniques of the school but registration is
required. There are five stipends available to fully cover costs
associated with travel and accommodation.

The event is jointly organised by Simula Research Laboratory and
Helmholtz Zentrum Munich. For further information, please visit the
event's website:
https://www.simula.no/education/courses/comph-modelling-week


From: Annalisa Quaini quaini@math.uh.edu
Date: December 15, 2016
Subject: Finite Element Rodeo, USA, Mar 2017


The 2017 Finite Element Rodeo will be held at the University of
Houston March 3-4. The Rodeo is an annual informal conference on
finite element methods that rotates between several universities in
Texas and Louisiana. Further information and registration details can
be found at:

http://www.mathematics.uh.edu/seminars-and-events/Finite_Element_Rodeo_2017/


From: Winnifried Wollner wollner@mathematik.tu-darmstadt.de
Date: December 20, 2016
Subject: Non-Smooth Distributed Parameter Systems, Germany, Oct 2017


Optimization of Infinite Dimensional Non-Smooth Distributed Parameter
Systems from Oct. 4-6 2017 at TU Darmstadt (Germany).

https://www3.mathematik.tu-darmstadt.de/index.php?id=3150

Although registration will be possible until end of May it is
advisable to book your hotels early as available rooms can only be
guaranteed until the end of January.



From: James Adler james.adler@tufts.edu
Date: December 15, 2016
Subject: Assistant Professor Position, Tufts Univ


The Department of Mathematics invites applications for a Norbert
Wiener Assistant Professorship in Scientific Computing or
Computational Science to begin September 1, 2017, and lasting three
years. Preference will be given to candidates with expertise in high
performance or extreme-scale computing applied to research areas that
overlap with those of Tufts faculty. Particular areas of interest
include applications in Computational PDEs, Numerical Linear Algebra,
Mathematical Modeling in Economics, and Computational Neuroscience.
The teaching load will be two courses per semester.

Doctorate required. Applicants must show promise of outstanding
research and evidence of excellent teaching.

Applications should include a cover letter, curriculum vitae, a
research statement, and a teaching statement. All of these documents
should be submitted electronically through
https://www.mathjobs.org. In addition, applicants should arrange for
three letters of recommendation to be submitted electronically on
their behalf through https://www.mathjobs.org. If a recommender
cannot submit online, we will also accept signed PDF attachments sent
to james.adler@tufts.edu or paper letters mailed to Search Committee
Chair, Department of Mathematics, 503 Boston Avenue, Tufts University,
Medford, MA 02155.

Review of applications will begin on January 1,2017, and will continue
until the position is filled.

Tufts University is an Affirmative Action/Equal Opportunity
employer. We are committed to increasing the diversity of our
faculty. Members of underrepresented Groups are strongly encouraged to
apply.

https://www.mathjobs.org/jobs/jobs/9869


From: Paul Ledger p.d.ledger@swansea.ac.uk
Date: December 14, 2016
Subject: Research Associate Position, NA, The Univ of Manchester


A 1 year research associate position in numerical analysis for
improved land mine detection at the University of Manchester (UoM),
UK, has just been advertised. The research associate will work with
Professor Bill Lionheart (School of Mathematics, UoM), and in
collaboration with Dr Paul D. Ledger (College of Engineering, Swansea
University, UK) and Dr Timo Betcke (Department of Mathematics, UCL,
UK), to develop improved metal detection algorithms for the location
and discrimination of buried objects.

For further details about the vacancy please see
https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=12682

For enquires please contact Professor Bill Lionheart
bill.lionheart@manchester.ac.uk

Closing Date: 15th January 2017



From: Mikhail Shashkov shashkov@lanl.gov
Date: December 14, 2016
Subject: Postdoc Position, Computational Physics, Los Alamos National Laboratory


Located in northern New Mexico, Los Alamos National Laboratory (LANL)
is a multidisciplinary research institution engaged in strategic
science on behalf of national security. LANL enhances national
security by ensuring the safety and reliability of the U.S. nuclear
stockpile, developing technologies to reduce threats from weapons of
mass destruction, and solving problems related to energy, environment,
infrastructure, health, and global security concerns. The
X-Computational Physics (XCP) Division develops multiphysics
simulation codes to support national nuclear security
applications--particularly the assessment of the safety, security, and
effectiveness of the stockpile and emerging threats. The division's
focus is in computational physics, developing validated codes, models,
and algorithms through research in the division and integration of the
broader Laboratory's work in theory, modeling, and experiment. The
XCP-4 (Methods and Algorithms) Group develops new methods and
algorithms for multiphysics codes. The XCP-4 Group is seeking
candidates for postdoctoral position focused on methods and
implementation of Reconnection-based Arbitrary Lagrangian-Eulerian
algorithms for high-speed, compressible, multimaterial flows.

Minimum Job Requirements: Experience with Lagrangian and Arbitrary
Lagrangian-Eulerian Methods on general unstructured (polygonal and
polyhedral) meshes. Publication or other evidence (e.g., code
documentation), which confirms such experience. Working knowledge of
interface reconstruction methods. Working knowledge of relevant
algorithms of computational geometry (e.g., point in polygon,
intersection of polygons); Work with a diverse group of colleagues
from varying backgrounds on research covering multiple physics areas.
Demonstrate a commitment to quality research, technical and scientific
excellence, professional integrity, and personal initiative.
Demonstrate and maintain excellence in written and verbal
communication. Desired Skills: Experience with 3D unstructured meshes.
Experience for solid dynamics modeling. Experience in parallel code
development and MPI / supercomputing experience. Education: Ph.D. in
Applied Mathematics (or related area) completed within the last five
years or soon to be completed. Notes to Applicants: Applicants should
include a comprehensive cover letter addressing their qualifications
and how those qualifications meet the job requirements.

http://www.lanl.gov/careers/career-options/jobs/index.php
Vacancy Name: IRC53880



From: Rebecca Malkovich malk0027@umn.edu
Date: December 19, 2016
Subject: Postdoc Positions, IMA


The IMA has several openings for Industrial Postdoctoral Fellowships.
The positions are intended for mathematical scientists at an early
stage of their career. Preference will be given to those who have
completed their Ph.D. within three years of the start of the
appointment. Jointly funded by IMA industrial partners and the IMA,
the fellowships begin August 30, 2017, and can be renewed for up to a
total of two years. The postdocs will devote 50% effort to projects
onsite at the IMA's partner company and 50% effort on their own
research under the mentorship of a University of Minnesota
faculty. The position carries an annual salary of $65,000 and an
allowance of up to $3,000 for professional travel. IMA Industrial
Postdoctoral Fellowships are ideal for mathematical scientists who
wish to pursue careers in industry or academic positions that involve
industrial interactions. All industry projects involve data and their
analysis. Previous data science experience is desirable but not
required. Consideration of applications will begin on January 19,
2017. Please see https://www.mathjobs.org/jobs/fellowship/9852 for
more details.



From: Susan Minkoff sminkoff@utdallas.edu
Date: December 19, 2016
Subject: PhD Positions, Mathematical Sciences, The Univ of Texas at Dallas


The Department of Mathematical Sciences at the University of Texas at
Dallas invites applications for our masters and doctoral programs in
(1) Mathematics and (2) Statistics, and masters programs in (3)
Actuarial Science and (4) Bioinformatics and Computational Biology.
The Department includes faculty with diverse interests in mathematics
and statistics. For a listing of faculty research areas see
http://www.utdallas.edu/math/research/ .

For students in the Ph.D. programs, teaching and research
assistantships are available which cover tuition and provide a
competitive stipend. The priority application deadline for Fall 2017
admission is January 15, 2017. However, applications will be accepted
and ongoing review will continue until all available positions are
filled. For more information about the graduate programs in
Mathematical Sciences at UTD, please email us at utdmath@utdallas.edu
or visit our website: http://www.utdallas.edu/math/ .

The Department of Mathematical Sciences at The University of Texas at
Dallas is also soliciting applications from well-qualified
U.S. citizens, nationals, and permanent residents interested in
participating in our NSF-Supported Enriched Doctoral Training (EDT)
project "Team Training Mathematical Scientists Through Industrial
Collaborations." The EDT project at UT Dallas supplements students'
PhD training in Mathematics or Statistics with a one-year
interdisciplinary research project posed by one of our external
partners in business, industry and government. EDT student trainees
collaborate with a team of students, mathematics and statistics
faculty, and an external partner on an industrial research
problem. They develop the knowledge and communication skills required
to tackle applied research, obtain summer internships, and gain
experience which could lead to future employment.

For further information on UTD's EDT program including sample projects
and our external partner organizations go to:
http://www.utdallas.edu/EDT or contact Dr. Sue Minkoff at
sminkoff@utdallas.edu .



From: Jennifer Scott jennifer.scott@reading.ac.uk
Date: December 21, 2016
Subject: PhD Positions, Mathematics of Planet Earth, Imperial and Reading, UK


The Centre for Doctoral Training in the Mathematics of Planet Earth
has PhD positions available at Imperial College London and the
University of Reading plus one joint position at Imperial College and
the National Physical Laboratory. Applications to the fully funded
4-year doctoral programme are currently being accepted for the next
intake of students who will start in September 2017. Applications are
sought from those who have (or expect to receive) a first class degree
in mathematics, statistics, physics or closely related subject. For
further details of the programme and how to apply, see
http://mpecdt.org/

Please apply before 31 January 2017. An interview day will be held at
the University of Reading on Wednesday, 22 February 2017.


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