NA Digest, V. 16, # 29

NA Digest Monday, August 01, 2016 Volume 16 : Issue 29


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: Ron Boisvert boisvert@nist.gov
Date: July 25, 2016
Subject: ACM TOMS Editor-in-Chief Search


An open search has begun for the next Editor-in-Chief of the ACM
Transactions on Mathematical Software. Details can be found here:
http://toms.acm.org/pdf/Solicitation.pdf. Deadline for applicants is
September 15.


From: Iain Duff duff@cerfacs.fr
Date: July 28, 2016
Subject: Sparse Days at CERFACS 2016


The annual Sparse Days meeting was held at CERFACS on 30 June and 1
July this year. It was as usual a memorable meeting with 40 attendees
of whom almost half were from outside France. There were some
excellent talks and PDF files for most these are now available from
our web site:

http://cerfacs.fr/slides-sparse-days-2016/



From: Robert van de Geijn rvdg@cs.utexas.edu
Date: July 31, 2016
Subject: MOOC on linear algebra (LAFF) offered again


In Spring 2014, we first offered "Linear Algebra: Foundations to
Frontiers" (LAFF) on the edX platform (edx.org). LAFF is an
introductory course on linear algebra that links abstractions in
mathematics to abstractions in code. The course targets many
audiences, ranging from novices to those wanting a refresher.

This fall, LAFF is offered as a semester-long course starting August
24. The materials will be pre-released starting August 3 for those
who want to review before the Fall semester starts for courses on
applied and/or numerical linear algebra. The course heavily stresses
partitioning of matrices and vectors and uses our "FLAME notation" to
present algorithms.

For links, details, reviews, notes, videos, and activities, visit
http://www.ulaff.net. There you will also find my "Notes on Numerical
Linear Algebra" which I created for my graduate course on numerical
linear algebra.


From: Weijian Zhang weijian.zhang@manchester.ac.uk
Date: July 29, 2016
Subject: Manchester Julia Workshop, UK, Sep 2016


The Manchester Julia Workshop invites researchers to submit poster
presentation. The workshop will be held at the University of
Manchester on September 19-20, 2016. Registration is open now.
http://www.maths.manchester.ac.uk/~siam/julia16/

The workshop offers a unique opportunity for students and researchers
across the UK to learn the Julia language and discuss using Julia in
different areas: numerical optimization, machine learning, data
science and more. We are particularly interested in posters on using
Julia for scientific computing. But work that might lead to
interesting Julia implementation is welcome. Topics include but are
not limited to: Numerical Optimisation; Numerical Linear Algebra;
Natural Language Processing; Statistics; Computational Biology;
Network Science; and Material Science.

Abstract submission deadline: August 26, 2016
Notification of poster acceptance or rejection: August 29, 2016
Registration deadline: September 11, 2016

Please submit a .pdf abstract through:
http://www.maths.manchester.ac.uk/~siam/julia16/registration.php
It should contain the title, author(s) and affiliation, and should not
exceed 500 words.

Limited travel support will be provided for students in the UK to
present a poster.



From: Xiaoming He hex@mst.edu
Date: August 01, 2016
Subject: SIAM Central States Section Meeting, USA, Sep-Oct 2016


The 2nd Annual Meeting of SIAM Central States Section will be hosted
at the University of Arkansas-Little Rock, September 30-October 2,
2016. We are also pleased to announce a special issue on Computers &
Mathematics with Applications for this meeting and another special
issue on Discrete and Continuous Dynamical Systems - Series B for the
SIAM Central States Section. Please see the following conference
website for more details: http://siamcentral2016.mst.edu/

If you are interested in giving a talk, please feel free to email the
organizing committee chair, Xiaoming He, at hex@mst.edu.

Please see the following section website and the previous conference
website for more information:
http://www.siam.org/sections/central/
http://siamcentral.mst.edu/



From: Anja Milde komso@iwr.uni-heidelberg.de
Date: July 29, 2016
Subject: Reduced-Order Modeling for Simulation and Optimization, Germany, Nov 2016


KoMSO CHALLENGE WORKSHOP on
Reduced-Order Modeling for Simulation and Optimization:
Powerful Algorithms as Key Enablers for Scientific Computing
November 17 & 18, 2016, Bosch Research Campus, Renningen, Germany
http://www.KoMSO.org

It is the purpose of this workshop to bring together the creators and
developers of new, optimal fast mathematical algorithms and their
potential industrial users. Requirements, application fields, needs,
and benefits of effort-saving fast algorithms will be presented.

We invite you to submit contributions for oral presentations. We call
for abstracts of maximum 2 pages. Submissions should be written in
English.

Important Deadlines
September 15, 2016: Submission of abstracts
October 17, 2016: Notification of acceptance

Please submit your abstracts in Word or PDF format via email to
komso@iwr.uni-heidelberg.de.



From: Sigal Gottlieb sgottlieb@umassd.edu
Date: August 01, 2016
Subject: Conference honoring Chi-Wang Shu, USA, Jan 2017


We are delighted to announce an international conference on "Frontiers
in Applied and Computational Mathematics" to be held at Brown
University on January 4-6, 2017.

The conference will feature over 20 distinguished invited speakers,
and will also have a poster session. Conference information is at
https://www.brown.edu/academics/applied-mathematics/events/frontiers-
applied-and-computational-mathematics

Please register early at this site. Poster submissions will be
considered beginning October 1, and presenters will be notified by
November 1st.

We expect to have generous support from the AFOSR, ARO, and ONR, and
encourage those who need support for their travel to apply for funding
on the registration page.

Like us on Facebook! https://www.facebook.com/ShuConference/



From: Iain Duff duff@cerfacs.fr
Date: July 28, 2016
Subject: Software Engineer Position, EoCoE Project, Toulouse


A scientific software engineer position is open within the framework
of the EU funded EoCoE project (Energy oriented Centre of Excellence)
at CERFACS and IRIT, Toulouse, France.

Desirable skills: Master, engineering or PhD degree in computer
science or in applied mathematics; Background in linear algebra and
knowledge of sparse direct methods and iterative methods; Skills and
demonstrable experience in Fortran and C/C++ programming languages;
Experience in working with parallel architectures and in parallel
computing with MPI and/or OpenMP; Knowledge of Linux/Unix environments
and development tools (make, version managers, scientific libraries,
scripting languages); Interest in software development and software
quality; Good ability to work in a team; Good communication skills in
scientific and technical English; An experience of software
engineering and scientific software implementation would be an asset.

From: Flexible, can take into account the candidate's constraints. In
principle, from September 2016. Duration: 12 months funded by CERFACS
with possible extension for another 12 months funded by IRIT/CNRS.

Location: Within the Parallel Algorithms team at CERFACS
(http://cerfacs.fr/en/parallel-algorithms/) and then within the APO
team at IRIT (https://www.irit.fr/-APO-team-?lang=en).

Application procedure: Please provide a cover letter, a detailed
curriculum vitae and the reference (name and contact information) of
at least two persons who can be contacted. Applications (with
reference "EoCoE: scientific software engineer position") should be
sent to Brigitte Yzel (brigitte.yzel@cerfacs.fr), CERFACS, 42 Ave G
Coriolis, 30157 Toulouse.

Application deadline: September 10th 2016.



From: Michael Heroux maherou@sandia.gov
Date: July 31, 2016
Subject: Postdoc Position, CSE SW Methodologies Research, Sandia National Labs


We are seeking a Postdoctoral Appointee who is interested in an
explicit focus on research in software methodologies for
research-to-production CSE software, and strong interest in exploring,
developing, adapting and adopting modern software engineering to the
CSE software domain, including exploration of software productivity
and sustainability metrics, development of tools and workflows,
especially related to Agile methodologies built upon GitHub, Docker
and other new and emerging software technology platforms. Activities
will include engaging with Trilinos (trilinos.org) and IDEAS
(ideas-productivity.org) developers to elicit requirements and
collaboratively create methodologies that enhance productivity and
sustainability for CSE research software products such as Trilinos.

Responsibilities include, but are not limited to:
- Research and development of new methodologies, metrics, tools and
best practices for CSE research software, using GitHub, Docker and
related modern software platforms
- Publication, presentation and engagement with the US and
international communities on research topics in CSE software
- Effective engagement with Trilinos, IDEAS and other software teams,
at Sandia and other DOE laboratories

This post-doctoral position is for motivated and enthusiastic
individuals with excellent communication skills who have the ability
to work in a collaborative research environment. The successful
applicant will be expected to work closely with CSE software
developers as well as have the opportunity to pursue independent
research projects.

For more information, go to http://www.sandia.gov/careers/index.html
-> View All Jobs and then search for posting 654277.



From: Zdenek Strakos z.strakos@gmail.com
Date: July 26, 2016
Subject: Postdoc Position, NA/Scientific Computing, Charles Univ, Prague


A significant part of progress in scientific computing for solving
large real-world problems naturally stems from new mathematical
approaches. Moreover, the whole process from the problem formulation
through its mathematical description, corresponding analysis, discrete
representation, solving the discretized problem up to verification of
computed results represents a holistic task whose parts cannot be
separated from each other. The solution process typically involves
various and often distant mathematical disciplines connected by the
need to use high performance computational tools. High-performance
computing systems use extreme parallelism in performing
computations. This requires adequate methods, algorithms and
implementations, with emphasize on their theoretical analysis,
investigation of numerical stability, accuracy of computations,
robustness, resilience, and low computational cost. The research of
numerical methods complying with the demands of high-performance
computing will be conducted at the Faculty of Mathematics and Physics,
Charles University in Prague, in the team led by Zdeněk Strakoš and
Miroslav Tůma. Applicants should have a PhD in mathematics or in
computer science, with a background in computational mathematics, in
particular numerical analysis and/or matrix computations.

Contact person: Prof. Zdeněk Strakoš, Charles University in Prague,
Faculty of Mathematics and Physics, e-mail: strakos@karlin.mff.cuni.cz

Applicants should submit (see the templates
http://www.mff.cuni.cz/fakulta/prace/2017postmath.htm):
Application form
Letters of Reference
Detailed CV
List of publications
Copy of university diploma

Deadline: August 26, 2016



From: Thomas Russold thomas.russold@uni-graz.at
Date: July 28, 2016
Subject: Postdoc Position, Optimal Control of PDEs


About the project: While the project addresses a broad spectrum in
optimal control of PDEs, it also focusses on some of the most pressing
topics: Non-smooth, non-convex optimal control and computational
techniques for feedback control. Applications include the bidomain
equations, which are the established model to describe the electrical
activity of the heart.

Professional qualifications: Doctoral degree in a mathematical branch
of study. Solid knowledge in numerical analysis and in applied
mathematics, including PDEs, with specialization in either analytical
or computations techniques. Specialization in optimal control,
calculus of variations, or optimization is very welcome.

Contact person and grant holder:
Prof. Karl Kunisch, University of Graz and Radon Institute,
Austrian Academy of Sciences, E-mail: karl.kunisch@uni-graz.at
Official starting date: January 1, 2016

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

Application Deadline: will be announced



From: Ke Chen k.chen@liverpool.ac.uk
Date: July 27, 2016
Subject: Postdoc Positions, Applied Maths, Liverpool/Lancaster, UK


Four postdoctoral positions in respective areas of Mathematical
Biology (Multi-scale drug toxicity modelling), Mathematical Imaging
(multi-modal registration) and Antimicrobial resistance (AMR)
Modeling, with three posts based at the Department of Mathematical
Sciences, University of Liverpool, and one post based in the
University of Lancaster under the supervision of a multidisciplinary
team of researchers. The posts are funded through the newly formed
EPSRC Liverpool Centre for Mathematics in Healthcare (LCMH, one of the
5 EPSRC Centres in UK), with 3 more posts to be advertised in 2017.

PhD in the modelling areas related to the projects with relevant
experience and background in partial differential equations and/or
computational modelling skills or imaging or applied stochastic models
and competition dynamics are required. Strong research track record is
essential.

Duration: 3 or 2 years
Starting date: October 2016 or soon after.
Application closing date: August 29, 2016

More information and online application form shortly from
http://tinyurl.com/EPSRC-LCMH
or
https://www.liverpool.ac.uk/working/jobvacancies/currentvacancies/research/
and
https://hr-jobs.lancs.ac.uk/vacancies.aspx?cat=232



From: Thomas Russold thomas.russold@uni-graz.at
Date: August 01, 2016
Subject: Doctoral Positions, Graz


The dissertation projects cover, for instance, developing numerical
methods for variational image processing problems, studying novel
approaches for magentic resonance fingerprinting, shape
optimization for fluid-structure interaction as well as modeling,
identification, and optimization of violin bridges.

Applicants should hold a master's degree in mathematics or related
areas with a strong back- ground in one of the fields of numerics,
optimization, or analysis.

Applicants are asked to submit a curriculum vitae, copies of
certificates of academic qualifications, a copy of a degree thesis
or of a peer-reviewed publication (if available) and two letters of
recommendation. Additionally, the candidates are asked to inform
themselves beforehand about the spectrum of the available PhD
topics from the web page of the IGDK and to order them according to
their interest, giving written explanations for their choice within
the application letter.

The IGDK Munich-Graz aims to increase the proportion of female
staff and especially encourages women to apply. This policy applies
also to disabled persons.

Applications in English (main language of the IGDK) should be sent
by email to igdk1754@ma.tum.de, addressed to the speakers of the
IGDK Munich-Graz, Prof. Dr. Boris Vexler and Prof. Dr. Karl Kunisch.

For further information about the scientific topics covered and the
conditions for applications, please visit our website www.igdk.eu.


From: Winnifried Wollner wollner@mathematik.tu-darmstadt.de
Date: August 01, 2016
Subject: PhD Position, Numerical Parameter Identification, TU Darmstadt


The Graduate School of Computational Engineering
(www.graduate-school-ce.de) at the Technische Universität Darmstadt
offers one PhD scholarship supervised by Prof. Dr. Winnifried Wollner
in the field of Numerical Parameter Identification

Magnets used for example in particle accelerators to bend the particle
beam contain yokes made of nonlinear or even hysteric materials that
may be premagnetized. To adjust the magnetic field the current must be
precisely controlled. However, the field distribution depends on the
unknown magnetization of the yoke. This is mathematically modeled by a
2D nonlinear parabolic or elliptic partial differential equation with
unknown material distribution. The aim of the PhD project is the
development and realization of techniques for the numerical estimation
of this magnetization to allow for a more precise control of the
resulting magnetic field. The PhD Scholarship is focused on
mathematical methods with a collaboration with electrical
engineering. Applicants ideally have some background knowledge in
numerical methods for PDEs (Finite Elements) and optimization with
PDEs or parameter identification. Formal requirements for the
scholarship are available at
(http://www.gsc.ce.tu-darmstadt.de/index.php?id=21).

The PhD position is limited to three years and is based on the
guidelines of the German Research Foundation (DFG).

For inquiries, please contact Winnifried Wollner (cf. mail address
below). Candidates should submit a short application including a
cover letter, a CV and their latest grade records within one single
PDF file (5 pages at most) in electronic form to
wollner@mathematik.tu-darmstadt.de .


From: Amos Lawless a.s.lawless@reading.ac.uk
Date: July 25, 2016
Subject: PhD Position, Optimization for Data Assimilation, Univ of Reading, UK


A fully-funded PhD position in Novel Optimization Methods for Data
Assimilation is available at the University of Reading, working with
Amos Lawless and Nancy Nichols in Reading and Coralia Cartis in
Oxford.

Data assimilation is the process of combining observations with a
numerical model in order to estimate the state of a physical
system. It is widely used in many areas of environmental modelling,
for example to estimate the initial conditions for a weather
forecast. In this project recently-developed advanced numerical
optimization methods will be adapted for use in data assimilation for
environmental prediction. In particular, these new methods will be
compared to currently-used methods in a series of problems of
increasing complexity. The performance of the methods will be
investigated computationally and analysed mathematically.

Due to restrictions on the funding this studentship is only open to
UK/EU students.

Further details, including how to apply, are at
http://www.jobs.ac.uk/job/AOE409/phd-studentship-in-mathematics/

Application deadline: 21 August 2016

For informal enquiries please contact Dr Amos Lawless
(a.s.lawless@reading.ac.uk) or Prof Nancy Nichols
(n.k.nichols@reading.ac.uk).



From: Marco Discacciati m.discacciati@lboro.ac.uk
Date: July 27, 2016
Subject: PhD Position, Scientific Computing, Loughborough Univ


A PhD studentship funded by Loughborough University is available to
start in October 2016. The project, based in the Department of
Mathematical Sciences at Loughborough University, will focus on the
mathematical and computational modelling of point-of-care water
purification devices. The aim is to set up a robust and reliable
modelling tool that would enable simulation of different working
configurations for the device with a view to optimize its performance
and design. The successful candidate will be expected to develop a
mathematical model of the process of filtration of water through a
porous medium and computational finite element software to simulate
filtration. The model will be validated using experimental data
obtained in the Chemical Engineering Department. The studentship is
for 3 years and it provides a stipend of £14,296 per annum plus
tuition fees at the UK/EU rate for up to three years. International
(non EU) students may apply but will need to find the difference in
fees between those for a 'UK/EU' and 'international' student
themselves. Students will normally need to hold, or expect to gain,
at least a 2:1 degree (or equivalent) in Mathematics, Physics or
Engineering. A relevant Master's degree and/or experience in one or
more of the following will be an advantage: Applied Computational
Mathematics, Computational Mechanics. Interested candidates are
encouraged to contact Dr Marco Discacciati (M.Discacciati@lboro.ac.uk)
as soon as possible. Applications are accepted until the position is
filled.



From: Dimitri Breda dimitri.breda@uniud.it
Date: July 27, 2016
Subject: PhD Positions, Univ of Udine


11 positions are offered for the Ph.D. in Informatics and Mathematical
and Physical Sciences at the University of Udine.

All information can be found at
http://www.uniud.it/en/research/research-
doctorate/phdstudies/admission/ph.d.-call-1?set_language=en

The deadline is August 8, 2016 at 02.00 p.m. (Italian time).



From: Jari Toivanen toivanen@stanford.edu
Date: July 25, 2016
Subject: Special Issue on Computational and Algorithmic Finance


Journal of Computational Science (JoCS) solicits original research
papers for the special issue on Computational and Algorithmic Finance.

For more information on this special issue see
http://www.journals.elsevier.com/journal-of-computational-science/
call-for-papers/special-issue-topics-in-computational-and-algorithmic-
financ

Papers are submitted online via the JoCS standard submission system at
http://ees.elsevier.com/jocs
Please select the article type name of "SI: TCAF" in submission process.

The deadline for submissions is December 31, 2016.



From: Claude Brezinski claude.brezinski@univ-lille1.fr
Date: July 31, 2016
Subject: Contents, Numerical Algorithms, 72 (4)


Numerical Algorithms, Vol. 72, Issue 4.
Table of contents

An iterative algorithm for solving split feasibility problems and
fixed point problems in Banach spaces, Y. Shehu, O. S. Iyiola,
C. D. Enyi

A quicker continued fraction approximation of the gamma function
related to the Windschitl's formula, Dawei Lu, Lixin Song, Congxu Ma

Numerical treatment of a well-posed Chebyshev Tau method for
Bagley-Torvik equation with high-order of accuracy, P. Mokhtary

A new reliable algorithm based on the sinc function for the time
fractional diffusion equation, Esmail Hesameddini, Elham
Asadollahifard

A Mizuno-Todd-Ye predictor-corrector infeasible-interior-point method
for linear programming over symmetric cones, Ximei Yang, Yinkui Zhang,
Hongwei Liu, Yonggang Pei

A stable class of improved second-derivative free Chebyshev-Halley
type methods with optimal eighth order convergence, Alicia Cordero,
Munish Kansal, Vinay Kanwar, Juan R. Torregrosa

General fractional variational problem depending on indefinite
integrals, K. Sayevand, M. R. Rostami

On the method of directly defining inverse mapping for nonlinear
differential equations, Shijun Liao, Yinlong Zhao

Anderson acceleration of the alternating projections method for
computing the nearest correlation matrix, Nicholas J. Higham, Natasa
Strabic

On the choice of solution subspace for nonstationary iterated Tikhonov
regularization, Guangxin Huang, Lothar Reichel, Feng Yin

Laguerre approximation with negative integer and its application for
the delay differential equation, Zhang Xiao-yong, Li Jun-lin

An optimized two-step hybrid block method for solving general second
order initial-value problems, Higinio Ramos, Z. Kalogiratou,
Th. Monovasilis, T. E. Simos

An unconditionally stable spatial sixth-order CCD-ADI method for the
two-dimensional linear telegraph equation, Dongdong He



From: Ralph Baker Kearfott rbk@louisiana.edu
Date: July 29, 2016
Subject: Contents, Reliable Computing, 23


A special issue of the on-line journal "Reliable Computing" honoring
the late Ramon Moore has now appeared. Open access is available at:
http://interval.louisiana.edu/reliable-computing-journal/tables-of-
contents.html#Volume_23

Ramon Moore: Short biography, and recollections from close
associates.

Nedialko S. Nedialkov, Kenneth R. Jackson, and Markus Neher, On the
Blunting Method in Verified Integration of ODEs.

L. Jaulin, B. Desrochers, and D. Massé, Bisectable Abstract Domains
for the Resolution of Equations Involving Complex Numbers.

Naijia Xiao, Francesco Fedele, and Rafi L. Muhanna, Interval-Based
Parameter Identification for Structural Static Problems.

Kiyotaka Yamamura and Suguru Ishiguro, Finding All Solution Sets of
Piecewise-Linear Interval Equations Using Integer Programming.

Vladik Kreinovich, Standing on the Shoulders of the Giants: Why
Constructive Mathematics, Probability Theory, Interval Mathematics,
and Fuzzy Mathematics Are Important.

Vladik Kreinovich and Sergey P. Shary, Interval Methods for Data
Fitting under Uncertainty: A Probabilistic Treatment.

Ulrich Kulisch and Gerd Bohlender, High Speed Associative Accumulation
of Floating-point Numbers and Floating-point Intervals.

Louis B. Rall, Interval Divided-Difference Arithmetic.

Alexandre Goldsztejn and Daisuke Ishii, A Parallelotope Method for
Hybrid System Simulation.

In addition to Volume 23, papers from Volume 22, a special issue
devoted to material presented at the 2015 Small Workshop on Interval
Methods, have appeared. (Volume 22 will be complete following
appearance of several more papers from that workshop.)


End of Digest
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