NA Digest, V. 17, # 15

NA Digest Monday, June 12, 2017 Volume 17 : Issue 15


Today's Editor:

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

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From: Rolf Krause rolf.krause@usi.ch
Date: June 10, 2017
Subject: FoMICS Prize for PhD Students


Call for Applications: FoMICS Prize for PhD Students

The Swiss Graduate Program "Foundations in Mathematics and Informatics
for Computer Simulations in Science and Engineering" (FoMICS), led by
the Institute of Computational Science (ICS) at the Universita della
Svizzera italiana in Lugano, is pleased to announce the first FoMICS
Prize for PhD Students.

Selected applicants will have the opportunity to present their
research in a short talk (10-15 min) at a special session at the
PASC17 conference (https://pasc17.pasc-conference.org). The prize
will be awarded based on the quality of the results and the ability to
communicate them to the audience. The award will be presented at the
closing session of PASC17.

Eligibility:
- Applicants must be students at universities in Switzerland or abroad
who are currently enrolled in a doctoral program or who were
enrolled in a doctoral program in the most recent academic year
- Applicants must present research that reflects their own work, not
that of an advisor
- Applicants must be registered for PASC17 and able to present their
research at a session on Wednesday, June 28, from 13:30-15:30

Application Process: Doctoral students who are interested in being
considered for the FoMICS prize must express their interest via email
to Prof. Rolf Krause (ics@usi.ch) by June 18, 2017. Applications must
include the following information: Name; Department; University;
Country; Presentation title; Short abstract.

Submissions should be sent with "FoMICS Prize" in the subject

line. Further details regarding the presentation will be provided with
notification of application acceptance.

This information is also published on the PASC17 web site:
pasc17.pasc-conference.org/program/fomics-prize-for-phd-students/



From: Henning Meyerhenke meyerhenke@kit.edu
Date: June 12, 2017
Subject: NetworKit release 4.3


We are pleased to announce release 4.3 of NetworKit, our open-source
toolkit for the analysis of large (not necessarily complex)
networks. NetworKit allows exploratory workflows in Python with the
execution speed of natively compiled (and often parallel) C++ code.

Major additions include new dynamic centrality algorithms and a faster
algorithm for listing all maximal cliques. More information can be
found at http://network-analysis.info.



From: Iain Duff iain.duff@stfc.ac.uk
Date: June 09, 2017
Subject: New Book, Direct Methods for Sparse Matrices, Second Edition


We are delighted to announce that thirty years after the first edition
of our book, a second edition is now available from Oxford University
Press.

Further information can be found from the website:
https://global.oup.com/academic/product/direct-methods-for-sparse-matrices-
9780198508380/

This second edition is a complete rewrite of the first edition
published 30 years ago. Much has changed since that time. Problems
have grown greatly in size and complexity; nearly all examples in the
first edition were of order less than 5,000 in the first edition, and
are often more than a million in the second edition. Computer
architectures are now much more complex, requiring new ways of
adapting algorithms to parallel environments with memory
hierarchies. Because the area is such an important one to all of
computational science and engineering, a huge amount of research has
been done in the last 30 years, some of it by the authors
themselves. This new research is integrated into the text with a clear
explanation of the underlying mathematics and algorithms. New
research that is described includes new techniques for scaling and
error control, new orderings, new combinatorial techniques for
partitioning both symmetric and unsymmetric problems, and a detailed
description of the multifrontal approach to solving systems that was
pioneered by the research of the authors and colleagues. This includes
a discussion of techniques for exploiting parallel architectures and
new work for indefinite and unsymmetric systems. The subject of
sparse matrices has its root in such diverse fields as big data,
biosciences, social networks, management science, power systems
analysis, surveying, circuit theory, and structural
analysis. Efficient use of sparsity is a key to solving large problems
in many fields. As in the case of the first edition, the book is
appropriate for researchers in sparse matrix research and for
engineers and scientists who encounter sparse matrices in their
applications. It can also be used as a teaching text for advanced
undergraduate or master level courses and has many exercises, some
with solutions.

Direct Methods for Sparse Matrices, Second Edition
I s Duff, A.M. Erisman, and J.K Reid
Oxford University Press
Published: 26 January 2017
ISBN: 9780198508380



From: Princeton University Press marketing@press.princeton.edu
Date: June 07, 2017
Subject: New Book, Summing It Up


Summing It Up:
From One Plus One to Modern Number Theory
Avner Ash & Robert Gross

Hardcover | 2016 | $27.95 | 22.95 GBP | ISBN: 9780691170190
248 pp. | 6 x 9 | 16 line illus. 4 tables.
Paperback forthcoming December 2017.

We use addition on a daily basis-yet how many of us stop to truly
consider the enormous and remarkable ramifications of this
mathematical activity? Summing It Up uses addition as a springboard to
present a fascinating and accessible look at numbers and number
theory, and how we apply beautiful numerical properties to answer math
problems. Mathematicians Avner Ash and Robert Gross explore
addition's most basic characteristics as well as the addition of
squares and other powers before moving onward to infinite series,
modular forms, and issues at the forefront of current mathematical
research.

Full details: http://press.princeton.edu/titles/10692.html

Use code P06302 when checking out to receive a 25% discount on this
title.



From: Jie Shen shen7@purdue.edu
Date: June 08, 2017
Subject: Numerical PDEs, USA, Jul 2017


An International Conference on Current Trends and Challenges in
Numerical Solution of Partial Differential Equations will be held at
Purdue University during July 7-8, 2017. You can find more detail
about conference at the web page:
http://www.math.purdue.edu/~shen/numer_PDEs/

The purpose of this conference is to promote, enhance, and stimulate
international research interactions and collaborations in applied and
computational mathematics. A special feature of this conference is to
celebrate the scientific legacy of late Professor Jim Douglas Jr. who
served as the Compere and Marcella Loveless Distinguished Professor
and the Director of Center for Computational & Applied Mathematics
(CCAM) at Purdue University from 1987 until his retirement in 2006.

If you plan to attend the conference, please do register at the web
page, no registration fee is required but $50 will be collected onsite
if you choose to attend the banquet in the evening of July 8.

A block of rooms have been reserved at Purdue Union Club Hotel and at
the Hilton Garden Inn. More information can be found at the conference
web page.

The conference is supported by NSF, IMA and Purdue University.



From: Mariantonia Cotronei smart2017.italy@gmail.com
Date: June 12, 2017
Subject: SMART2017, Italy, Sep 2017


S M A R T 2017
Second International Conference on Subdivision, Geometric and
Algebraic Methods, Isogeometric Analysis and Refinability in Italy
September 17--21, 2017, Gaeta, Italy

SMART 2017 is the second Conference in the series. The main goal of
SMART Conferences is to bring together researchers working in the
fields of Subdivision, Geometric and Algebraic Methods, Isogeometric
Analysis and Refinability, with special emphasis on new emerging
research areas.

Invited Speakers:
John A. Evans (University of Colorado Boulder, USA)
Bert Juttler (Johannes Kepler University of Linz, Austria)
Ron Kimmel (Technion - Israel Institute of Technology, Israel)
Demetrio Labate (University of Houston, Texas, USA)
Tomas Sauer, (University of Passau, Germany)
Hans-Peter Schrocker (University of Innsbruck, Austria)
Thomas W. Sederberg (Brigham Young University, Provo, Utah, USA)
Joachim Stockler (TU Dortmund University, Germany)

Deadlines:
Submission of title and abstract for oral/poster presentation: June
25, 2017
Notification of abstract acceptance: July 1, 2017
Registration and accommodation: July 10, 2017

For further information, please visit the conference website:
http://www.sbai.uniroma1.it/smart2017 or send an email to:
smart2017.italy@gmail.com



From: Bertrand Iooss biooss@yahoo.fr
Date: June 08, 2017
Subject: Uncertainty in Scientific Computing, France, Oct 2017


The next summer school ETICS (Ecole thematique sur les Incertitudes en
calcul scientifique, Research school on Uncertainty in scientific
computing) will be held this year in Porquerolles (France) during the
first week of october (1-6 October 2017).

The goal of this school is to develop the skills of researchers and
engineers in the domain of uncertainty management of computer codes.
Some of the lectures will be followed by practical computer
works. Collaborative works, round tables and poster sessions will
promote exchanges between participants. The prerequisites to possess
are the mathematical bases of the uncertainty quantification science.

Lecturers: Max Gunzburger (Florida State University, USA), Luc
Pronzato (CNRS - Sophia Antipolis, Nice), Sebastien Destercke
(Universite de Technologie de Compiegne), Pierre-Henri Wuillemin
(Universite Pierre et Marie Curie, Paris), Nicolas Bousquet (EDF R&D,
Chatou).

The full program can be found here: www.gdr-
mascotnum.fr/media/etic2017_en_program_vf.pdf Registration fees: 900
Euro - Link for registration: https://www.azur-
colloque.fr/DR01/inscription/inscription/85/fr The number of places is
limited. Entries will be closed once the limit has been reached.



From: Markus Bachmayr bachmayr@ins.uni-bonn.de
Date: June 09, 2017
Subject: Postdoc Position, NA, Hausdorff Center for Mathematics, Univ Bonn


The Hausdorff Center for Mathematics (HCM) at the University of Bonn
invites applications for the position as postdoctoral researcher in
the research group of Markus Bachmayr in the area of numerical
analysis of partial differential equations.

Candidates should have a background in one of the following areas:
high- dimensional approximation, adaptive methods for PDEs, random
PDEs, or statistical learning theory. Experience in scientific
programming is advantageous, but not essential.

The position is paid according to TV-L E 13, with starting date as
soon as possible, and is limited to the duration of two years.

The University of Bonn is an equal opportunities employer.

Applications in German or English should be sent in electronic form by
July 5, 2017 to Prof. Markus Bachmayr at the following e-mail address:
bachmayr@ins.uni-bonn.de. This address can also be used for inquiries.
Applications should consist of a single PDF file including application
letter (indicating also the desired starting date), CV, list of
publications, brief research statement, as well as contact details of
two references.



From: Sebastian Reich sereich@uni-potsdam.de
Date: June 10, 2017
Subject: Postdoc/Doctoral Positions, Data Assimilation


The DFG-funded Collaborative Research Center SFB 1294 "Data
Assimilation - The Seamless Integration of Data and Models", hosted at
the University of Potsdam jointly with its partner Institutions HU
Berlin, TU Berlin, WIAS Berlin and GFZ Potsdam, invites applications
for 14 doctoral and 3 postdoctoral 4-year positions in the field of
data assimilation (including statistical inverse problems, dynamical
systems, applied and computational mathematics, and machine learning)
and its application to biophysics, neuro- and geosciences.

Our vision. The assimilation of time-dependent data sets into complex
evolution models lead to unique mathematical and computational
challenges, which provide the central theme of SFB 1294. Data
assimilation is a newly emerging field which lies at the confluence of
several established research areas in mathematics and statistics on
the one hand and application areas such as geosciences on the
other. Our vision is to establish a rigorous mathematical underpinning
of data assimilation, to develop principled computational
methodologies, and to apply these methodologies to emerging
application fields.

SFB 1294 provides a fantastic research infrastructure including a
large interdisciplinary network of researchers, its own graduate
school, and funding opportunities for conference visits, summer
schools, hosting international experts etc. SFB 1294 strives to
increase the proportion of women in research. The website
www.sfb1294.de provides more information on the scientific framework
of this call, candidate requirements and online application procedure,
and payment scheme for both doctoral and postdoctoral
positions. Candidate evaluation will begin after the application
deadline on July 9th, 2017; with an anticipated start of projects on
October 1st, 2017. Informal inquiries can be directed to Sebastian
Reich by e-mail: crcmath@math.uni-potsdam.de.



From: Philipp Grohs philipp.grohs@univie.ac.at
Date: June 06, 2017
Subject: PhD and Postdoc Positions, Univ of Vienna


The research group of Prof. Philipp Grohs at the Faculty of
Mathematics of the University of Vienna is inviting applications for
two PhD positions (3 years) and one Postdoctoral position (2 years) in
the fields of computational harmonic analysis, signal processing or
machine learning, with a special focus on phase retrieval and deep
learning (see http://mat.univie.ac.at/~grohs/).

PhD candidates are expected to have a master in mathematics or a
closely related field with excellent grades, preferably with a strong
background in analysis, numerics and programming. Postdoctoral
candidates are expected to have a PhD degree and a strong research
profile in a related area.

Applications in a single pdf-document including all relevant documents
(CV, publication list, letters of reference) should be sent to
Prof. Dr. Philipp Grohs, philipp.grohs@univie.ac.at, by 30th June
2017.



From: Philippe Dreesen philippe.dreesen@vub.ac.be
Date: June 08, 2017
Subject: PhD Position, Tensors for System Identification, Vrije Univ Brussel


A fully funded PhD position is now available at the Vrije Universiteit
Brussel (VUB), Belgium, department ELEC. The goal is to develop novel
methods for nonlinear system identification using tensors. We will
exploit the Volterra representation while aiming for interpretable
block-oriented models. Tensors play a central role in understanding
and taking advantage of the Volterra kernels. See our paper
http://homepages.vub.ac.be/~mishteva/papers/voltpWH.pdf

We offer an attractive salary, a job in the heart of Europe, and
support from a renowned research group. This is a four year PhD
project, with a yearly evaluated and renewable contract. The preferred
starting date is as soon as possible and no later than Oct 1, 2017.

The specific PhD topic can be adapted to the interests of the
applicant. It is especially suitable for mathematicians interested in
engineering applications, and for engineers interested in mathematics.

Requirements: Master's degree in (Applied) Mathematics, Electrical
Engineering, Physics, Computer Science, or a related domain. Further
requirements include excellent programming skills (e.g., MATLAB) and
excellent English language skills. Experience in tensor methods and
system identification is an advantage, but is not required.

Please send a two-page CV, a one-page personal statement (motivation
and background knowledge) as a single PDF document to
philippe.dreesen@vub.ac.be. Mention "FWO-VOLT-2017" in the email
subject line. Applications received before July 15, 2017 will be given
full consideration. Informal inquiries can be sent to the same email
address.



From: saul Buitrago sssbuitrago@yahoo.es
Date: June 08, 2017
Subject: Contents, Bulletin of Computational Applied Mathematics, 4 (2)


Table of Contents
Bulletin of Computational Applied Mathematics, Vol. 4, No. 2,
http://www.compama.co.usb.ve/

Special Issue In Honor of the 60th Birthday of Professor Marcos Raydan

A globally convergent method for nonlinear least-squares problems
based on the Gauss-Newton model with spectral correction,
D.S. Goncalves, S.A. Santos

Modified spectral projected subgradient method: convergence analysis
and momentum parameter heuristics, M. Loreto, S. Clapp, C. Cratty,
B. Page

Constrained optimization with integer and continuous variables using
inexact restoration and projected gradients, E.G. Birgin, R.D. Lobato,
J.M. Martinez

Derivative-free method for bound constrained nonlinear monotone
equations and its application in solving steady state
reaction-diffusion problems, O. Batta, W. La Cruz, G. Noguera

Sparse approximations of matrix functions via numerical integration of
ODEs, J.-P. Chehab

Hole-filling techniques by using minimal energy surfaces, M.A. Fortes



From: David G. Yu david.iapress@gmail.com
Date: June 06, 2017
Subject: Contents, Statistics, Optimization and Information Computing, 5 (2)


Table of Contents
Statistics, Optimization and Information Computing (SOIC),
Volume: 5, Number: 2 June 2017
http://www.iapress.org/index.php/soic/index

1. A Hybrid DBN and CRF Model for Spectral-Spatial Classification of
Hyperspectral Images, Ping Zhong, Zhiqiang Gong, pp.75-98.

2. On Optimal Properties of Special Nonlinear and Semi-infinite
Problems Arising in Parametric Optimization,Olga Kostyukova, Tatiana
Tchemisova, Maria Kurdina, pp.99-108.

3. Strictly $\varphi$-sub-Gaussian quasi shot noise processes, Olga
Vasylyk, pp. 109-120.

4. A net with serial access and the reduction of total work for
identical service, Andrey Valerianovich Pavlov, pp. 121-126.

5. Relations for Moments of Generalized Record Values from Additive
Weibull Distribution and Associated Inference, Rafiqullah Khan, M.A.
Khan, M.A.R. Khan, pp.127-136.

6. Proper complex random processes, Yurii Vasilyevich Kozachenko,
Marina Yurievna Petranova, pp.137-146.

7. Evidences in lifetimes of sequential r-out-of-n systems and optimal
sample size determination for Burr XII populations, Majid Hashempour,
pp.147-157.

8. Robust Bayesian Analysis of Generalized Half Logistic Distribution,
Ajit Chaturvedi, Taruna Kumari, pp.158-178.


End of Digest
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