NA Digest Monday, July 1, 2013 Volume 13 : Issue 27

Today's Editor:
Daniel M. Dunlavy
Sandia National Labs
dmdunla@sandia.gov

Submissions for NA Digest:

Mail to na.digest@na-net.ornl.gov

Information via email about NA-NET:

Mail to na.help@na-net.ornl.gov

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From: "Siegfried M. Rump" <rump@tuhh.de>
Date: Thu, 27 Jun 2013 07:28:42 -0400
Subject: Version 7.1 of INTLAB, the Matlab toolbox for reliable computing

I am pleased to announce that INTLAB version 7.1 is available at

http://www.ti3.tu-harburg.de/intlab/

INTLAB is a toolbox for verified computations completely written in
Matlab. Verified means that the computed results (error bounds) are
mathematically correct including all possible errors, in particular
rounding errors. Output routines are such that the displayed results
are correct as well.

INTLAB comprises of linear and nonlinear system solvers including
real/complex, full/sparse data, automatic differentiation, Taylor
models and much more. For details see the homepage above or download
demo files from

http://www.ti3.tuhh.de/rump/intlab/demos.zip

The new version comprises of a number of
changes/improvements. Moreover some higher transcendental functions
like erf, erfc and gamma have been added. For arguments close to
negative integers the result of the built-in Matlab function has
sometimes no correct digit, whereas INTLAB verifies bounds of almost
maximum accuracy.

Best wishes and enjoy INTLAB.

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From: Juliane Mueller <juliane.mueller2901@gmail.com>
Date: Fri, 28 Jun 2013 15:30:47 -0400
Subject: Matlab/Python Release, Parallel Stochastic RBF Algorithm

We are releasing a new parallel and serial Matlab and Python code of
the surrogate model global optimization method "Stochastic Radial
Basis Algorithm" for continuous black-box optimization problems.

The Stochastic Radial Basis Function Algorithm aims to solve
computationally expensive continuous black-box global optimization
problems with box constraints. The algorithm uses radial basis
functions to approximate the true objective function and to decide at
which points in the variable domain the costly objective function
should be evaluated. More than one function evaluation can be done in
each iteration in parallel if the user so wishes. This method has been
applied to numerical simulation models taking as long as 3 hours per
simulation.

No parallel code was previously available for the algorithm and the
new serial code is streamlined from an earlier serial Matlab verison
(by Regis and Shoemaker). The codes come with a user manual that
includes many examples.

The Matlab code can be found at
http://www.mathworks.com/matlabcentral/fileexchange/42090-stochastic-
radial-basis-function-algorithm-for-global-optimization

The Python implementation can be obtained from
juliane.mueller2901@gmail.com.

Dr. Juliane Müller & Prof. Christine Shoemaker, Cornell University,
Ithaca, NY, USA and Prof. Rommel Regis, St. Joseph’s Univ.,
Philadelphia, PA, USA

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From: Song Li <lisong@stanford.edu>
Date: Sun, 30 Jun 2013 23:49:44 -0400
Subject: Sparse Matrix Inverse Algorithms, ICNAAM 2013, Greece, Sep 2013

I am pleased to organize a minisymposium at ICNAAM 2013
(http://www.icnaam.org) on algorithms related to sparse matrix
inverse. If you are interested, please send to me the source files
(doc|docx tex+eps) along with the final .pdf file for your work to
present in the conference. If accepted, the paper will be published in
AIP (American Institute of Physics) Conference Proceedings.

Below are some sample topics. Please let me know if you have any
questions.

- Applications such as in device community, electronic structure,
finite element/finite difference analysis;
- Performance and scalability, including parallelization, cache/memory
optimization for speed and space constraints, use of GPU, etc.;
- Accuracy and stability of algorithms for matrices with a variety of
properties;
- FIND, RGF, SelInv, multifrontal methods, elimination trees, nested
dissection, their variations and applicability of a variety of
problems;
- Sparsity pattern of the matrices and the inverse entries of our
interests

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From: Dr N Nikiforakis <admin@csc.cam.ac.uk>
Date: Thu, 27 Jun 2013 12:23:04 -0400
Subject: High Performance Computing, UK, Sep 2013

The Autumn Academy is a two-week summer school on all aspects of
HPC. It is highly suitable for researchers from academia or industry
and in particular for new comers in high performance computing. The
Academy will take attendees through Basic HPC tools, Programming,
Performance Programming, Parallel Architectures, Shared Variables
Parallelism, Message Passing Parallelism and Practical Parallel
Programming.

In addition there will be several small group activities designed to
span these modules, and a series of plenary lectures from
international experts that will illustrate HPC research in action.

For more information or to register a place please refer to the link
below:

http://www2.warwick.ac.uk/fac/cross_fac/hpc-sc/courses/academy/

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From: Kirsten Wilden <Wilden@siam.org>
Date: Wed, 26 Jun 2013 13:29:17 +0000
Subject: SIAM Geometric and Physical Modeling, USA, Nov 2013

SIAM Conference on Geometric and Physical Modeling (GD/SPM13)
The Curtis, A DoubleTree by Hilton Hotel, Denver, Colorado, USA
November 11-14, 2013

The Call for Presentations for this conference is available at:
http://www.siam.org/meetings/gdspm13/

Twitter hashtag: #GDSPM13

SUBMISSION DEADLINES
- Due date for minisymposium proposals: July 1, 2013
- Due date for abstracts of all contributed and minisymposium
presentations: July 1, 2013

Please visit http://www.siam.org/meetings/gdspm13/submissions.php for
detailed submission information.

For additional information, contact the SIAM Conference Department
(meetings@siam.org).

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From: "K. John Wu" <kwu@lbl.gov>
Date: Sat, 22 Jun 2013 23:25:58 -0700
Subject: Research Scientist Position, LBNL

Computer Science Research Scientist - Scientific Data Management-75988

The Scientific Data Management Research Group has an immediate opening
for a research scientist to analyze time-series data from network
traffic measurements and related computer science problems. The
research includes statistical and mathematical algorithms and models
for large measurement data as well as large real-time streaming data
with techniques in data mining, machine learning, data reduction and
sampling, statistical analysis and modeling. The project investigates
and models a general-purpose, reusable and expandable network
performance estimation framework to improve the efficiency of resource
utilization and scheduling of scientific data transfer management on
high-speed networks. The predictive estimation model and the framework
will be helpful in optimizing the performance and utilization of fast
networks as well as sharing resources with predictable performance for
scientific collaborations, especially in data intensive applications.
Empirical network performance estimation would be able to provide
predictive estimation for a future time window, together with some
probabilistic variability estimate.

PhD degree in computer science, applied mathematics, statistics or a
related technical field is required. The candidate is expected to to
work independently and collaboratively in a diverse interdisciplinary
team, and to have excellent written and oral communication skills.

More details can be found, and apply within http://jobs.lbl.gov with
Job ID 75988 (or click on the link:
https://lbl.taleo.net/careersection/2/jobdetail.ftl?job=75988)

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From: AnneKvrn <Anne.Kvarno@math.ntnu.no>
Date: Mon, 24 Jun 2013 04:35:59 -0400
Subject: Professorship Positions, Math Modeling, NTNU, Norway

The Faculty of Information Technology, Mathematics and Electrical
Engineering (IME) at the Norwegian University of Science and
Technology (NTNU) invites applications for up to three full-time
positions as Associate Professor or Professor at the Department of
Mathematical Sciences.

The persons hired are expected to play leading roles in research and
research-based education within mathematical sciences. Preference
will be given to researchers in differential geometry/geometry and
topology, functional analysis, and mathematical modeling. Outstanding
candidates in other research areas represented in the department are
also encouraged to apply.

Persons hired in mathematical modeling should strengthen the
department’s applied and industrial profile, and will be expected to
contribute significantly to the Master’s program in Industrial
Mathematics.

For further information about the positions, see
http://www.jobbnorge.no/job.aspx?jobid=94108

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From: Johan Hoffman <jhoffman@kth.se>
Date: Mon, 24 Jun 2013 04:38:12 -0400
Subject: Asst Professor Position, High Perf Scientific Computing, KTH

The position as Assistant Professor involves research and
teaching. Distribution between research and teaching is negotiable but
the percentage of teaching will not be more than 25%.

KTH in Stockholm is the largest and oldest technical university in
Sweden. No less than one-third of Sweden’s technical research and
engineering education capacity at university level is provided by KTH.

The Department of High Performance Computing and Visualization
(HPCViz) focuses on developing methods and software for scientific
computing based on partial differential equations, and new concepts
for improved usage of high performance computer systems, including
algorithms, programming environments, tools, and the analysis and
synthesis of visual data. The department has established collaboration
with industry and clinical medicine based on the application of
simulation technology, in particular in the form of the open source
software project FEniCS for finite element computation developed at
the department, and also has strong links with the PDC Center for High
Performance Computing that operates national supercomputing resources.

The successful candidate is expected to strengthen the department in
its strategy towards high performance scientific computing, focusing
on one or more of the key topics researched in the department; method
and software development for finite element approximation of partial
differential equations, efficient algorithms, programming models,
runtime environments, and performance tools. The candidate is also
expected to contribute to the supervision of PhD students and
participate in related EC projects in leading positions.

Deadline for applications is August 31.

For more information see:

http://www.kth.se/en/om/work-at-kth/vacancies/assistant-professor-in-
high-performance-scientific-computing-1.397095

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From: Joerg Wensch <joerg.wensch@tu-dresden.de>
Date: Fri, 28 Jun 2013 04:43:46 -0400
Subject: Postdoc Position, TU Dresden

The Institute of Scientific Computing at TU Dresden offers a Postdoc
position for 30 month. The position is embedded in the project
"HPCOpenModelica".

The successful candidate should have a PhD in the area of scientific
computing or numerical mathematics, preferably in time integration
methods with emphasis on parallelization.

Excellent programming skills as well as experience on HPC
architectures are a requirement.

For further requests please contact Prof. Dr. Joerg Wensch
(E-Mail: joerg.wensch@tu-dresden.de).

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From: Andreas Dedner <a.s.dedner@warwick.ac.uk>
Date: Sun, 23 Jun 2013 17:46:06 -0400
Subject: Postdoc Position, Scientific Computing/NA, Warwick

Applications are invited for a Postdoctoral Research Associate in
Scientific Computing/Numerical Modelling to work with Dr. A. Dedner
(University of Warwick, Mathematics), Prof S. Arridge (UCL Centre for
Medical Image Computing) and Dr T. Betcke (UCL Mathematics) on schemes
for coupling finite element and boundary element methods (FEM+BEM)
with applications to medical imaging. The aim is to combine two
existing packages (DUNE and BEM++), building a powerful software
platform for solving a wide range of problems involving
discretizations on surfaces and in bulk domains using hpc facilities.
This is part of a large interdisciplinary group, researching finite
element and boundary element methods and their implementation. The
group involves both experts in FEM/BEM and in Electrical Impedance
Tomography, Ultrasound and Optical Tomography, including industrial
collaboration.

Key Requirements:
The Research Associate will contribute to the development of the
methods and their numerical implementation for large-scale problems on
high performance computing facilities. A strong background in
mathematics, scientific computing or related areas is required. In
particular, candidates should have experience with finite and/or
boundary element methods. Software development experience in C++ is
essential.

Further Details:
http://www.jobs.ac.uk/job/AGU157/research-fellow

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From: "Augusto Micheletti" <michelet@science.unitn.it>
Date: Thu, 27 Jun 2013 12:06:49 +0200
Subject: Open Positions and Opportunities, CIRM, Trento

CIRM-FBK, TRENTO-ITALY
CALL FOR APPLICATIONS FOR THE 2014 ACTIVITIES:
CONFERENCES, POSTDOC POSITION, VISITING POSITIONS, RESEARCH IN PAIRS

The CIRM (Centro Internazionale per la Ricerca Matematica, see
<http://cirm.fbk.eu/> http://cirm.fbk.eu) located in Trento-Italy,
following the proposal of its ADVISORY BOARD, is going to continue and
expand its activities in the field of Mathematics Research, also in
collaboration with the Department of Mathematics of the University of
Trento, according to the following program.

I) Conferences. This is the traditional activity, which has seen the
CIRM organizing more than 250 mathematical Meetings and Conferences
in the period 1979-2013.

Proposals of a conference for the year 2014 should be sent before
September 30.th, 2013, by ordinary mail to the address: Fondazione
Bruno Kessler, Centro Internazionale per la Ricerca Matematica, Via
Sommarive n. 14 - Povo, 38123 Trento or via electronic mail to the
address micheletti@fbk.eu.

An application must contain:
1) a scientific proposal, with names of possible speakers,
2) a rather detailed financial budget, which CIRM will be asked to
finance partially (up to 50%),
3) specification of the other available or planned financial
resources.

II) Postdoc Fellowships. CIRM opens the application for an annual
Postdoc Position, for researches in the field of Mathematics in
the year 2013-2014.

The fellowship amounts to Euro 23500 gross per year (taxes should
be deducted), which will be supplied in 12 monthly installments,
and requires daily presence at the CIRM Institute (address: Via
Sommarive 14, Povo, Trento).

The applications must arrive not later than September 30.th, 2013,
by ordinary or electronic mail to the above mentioned
addresses. For further information please visit the website
http://cirm.fbk.eu/postdoc-fellowships .

CIRM activities include two more programs, a program of CIRM Visiting
Professors and CIRM Visiting Scholars and another one of Research in
Pairs, the latter similar to the one of the Mathematisches
Forschungsinstitut Oberwolfach, which expects the presence of two or
three partners from Universities located in different towns, who
intend to work together at CIRM, on a definite research project for a
period of time ranging from one to six weeks.

Applications for these two programs must be sent to the address
mentioned above by ordinary or electronic mail. They can be submitted
at any time and they must contain a specific indication of the
proposed dates for the visit; it is suggested to send applications at
least three months before the planned stay since decision making might
require some time. Applications must contain a brief research
proposal, a C.V. and a list of publications for each applicant. For
further information please visit the websites:
http://cirm.fbk.eu/cirm-visiting-professors and
http://cirm.fbk.eu/research-pairs.

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From: tanbui <tanbui@ices.utexas.edu>
Date: Tue, 25 Jun 2013 11:58:30 -0500
Subject: PhD Position, Computational Science and Engineering

A PhD position is available to work on one or more of various topics
including numerical methods (optimization-based hybridized DG/DPG),
PDE-constrained optimization, parallel computing, inverse problems,
uncertainty quantification, model reduction, climate modeling,
etc. The position is under supervision of Dr. Tan Bui-Thanh of the
Department of Aerospace Engineering and Engineering Mechanics and also
of the Institute for Computational Engineering and Sciences, the
University of Texas at Austin. Please refer to

http://users.ices.utexas.edu/~tanbui/

to learn more about Dr. Tan Bui-Thanh's research interest.

Candidates must have a strong background in computation with numerical
methods (ideally with Discontinuous Galerkin method) and applied
mathematics. Previous experience with one or more of the following:
MPI programming, large-scale computation, Bayesian inversions,
probability theory, and Markov chain Monte Carlo simulation is a plus.

The position can start as early as Spring 2014 (preferable) or Fall
2014.

If you are interested, please contact Dr. Tan Bui-Thanh at
tanbui@ices.utexas.edu.

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From: "M.A. Bochev (Botchev)" <m.a.botchev@utwente.nl>
Date: Fri, 28 Jun 2013 17:34:01 +0200
Subject: PhD Position, Numerical Turbulence Modeling, Univ of Twente

The Cluster of Applied Analysis and Computational Science (AACS) of
the Department of Applied Mathematics, University of Twente, invites
outstanding candidates to apply for a PhD position to work on
massively parallel numerical algorithms for simulating turbulent
flows. This project is part of a close collaboration with Physics
groups at TU Delft, TU Eindhoven and UTwente, aimed at experimental
and computational analysis of ultimate regimes in turbulent flows. The
PhD student will work under the guidance of Prof. Bernard Geurts
(thesis promotor) and Dr. Mike Botchev.

The applicants are expected to have
- MSc (or comparable) degree in Applied Mathematics, Physics,
Mechanical, Chemical or Civil Engineering
- strong background in Numerical Mathematics and Computational
Science, high motivation in doing research in the field of Numerical
Methods
- excellent programming skills in Fortran 95/2003, experience with
MPI.

Applications including your CV, list of grades, and a half-page page
motivation why you want to work on this project, can be submitted by
following the link http://www.utwente.nl/vacatures/??VacatureID=586362

We will not consider incomplete or mass-mailed applications. The
application deadline is September 15, 2013.

If you have questions concerning the vacancy, please contact Prof.
Bernard Geurts (b.j.geurts@utwente.nl) or Dr. Mike Botchev
(m.a.botchev@utwente.nl).

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From: Brezinski Claude <claude.brezinski@univ-lille1.fr>
Date: Sun, 30 Jun 2013 11:30:22 +0200
Subject: Contents, Numerical Algorithms, 63(3)

Table of contents for Numerical Algorithms, Volume 63, Number 3.

Some modifications of the quasilinearization method with higher-order
convergence for solving nonlinear BVPs, Sandile S. Motsa, Precious
Sibanda

A new integral filter algorithm for unconstrained global optimization,
Lina Yue, Yongjian Yang

Compact finite difference scheme for the solution of time fractional
advection-dispersion equation, Akbar Mohebbi, Mostafa Abbaszadeh

Properties of an h-Bernstein-like basis and curves, Phillip Barry

Reconstruction of quasi developable surfaces from ribbon curves,
Mathieu Huard, Nathalie Sprynski, Nicolas Szafran, Luc Biard

Connection coefficients for orthogonal polynomials: symbolic
computations, verifications and demonstrations in the Mathematica
language, Pascal Maroni, Zelia da Rocha

Preconditioned AHSS iteration method for singular saddle point
problems, Shan-Shan Wang, Guo-Feng Zhang

Numerical approximation of highly oscillatory integrals on semi-finite
intervals by steepest descent method, Hassan Majidian

On efficient two-parameter methods for solving nonlinear equations,
Jovana Dzunic

Erratum to: ReLaTIve. An Ansi C90 software package for the Real
Laplace Transform Inversion, Luisa D’Amore, Rosanna Campagna, Valeria
Mele, Almerico Murli, Mariarosaria Rizzardi

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From: Oleg Burdakov <oleg.burdakov@liu.se>
Date: Thu, 27 Jun 2013 20:14:08 +0200
Subject: Contents, Optimization Methods and Software, 28(4)

Table of Contents
Optimization Methods and Software (OMS),
Volume 28, Number 4 (August, 2013)

Special issue: the 8th International Conference on Optimization:
Techniques and Applications, December 10-13, 2010, Shanghai, China
Guest Editors: Jie Sun, Xiaoling Sun and Ya-xiang Yuan

Jiarui Chen and Wenxing Zhu, A discrete dynamic convexized method for
VLSI circuit partitioning, 670-688

Z.G. Feng, K.F.C. Yiu and K.L. Teo, A smoothing approach for the
optimal parameter selection problem with continuous inequality
constraint, 689-705

Bingsheng He and Xiaoming Yuan, Forward-backward-based descent methods
for composite variational inequalities, 706-724

Hongjin He, Deren Han, Wenyu Sun and Yannan Chen, A hybrid splitting
method for variational inequality problems with separable structure,
725-742

Zi Hu, New combinatorial direction stochastic approximation
algorithms, 743-755

Bo Jiang and Yu-Hong Dai, Feasible Barzilai-Borwein-like methods for
extreme symmetric eigenvalue problems, 756-784

Pei-Yu Li, Zhi-Feng He and Gui-Hua Lin, Sampling average approximation
method for a class of stochastic Nash equilibrium problems, 785-795

Bing Liang, Mark Goh and Shaojian Qu, Trust region methods for solving
multiobjective optimization, 796-811

Y.S. Niu, T. Pham Dinh, H.A. LE Thi and J.J. Judice, Efficient DC
programming approaches for the asymmetric eigenvalue complementarity
problem, 812-829

Cheng Soon Ong and Le Thi Hoai An, Learning sparse classifiers with
difference of convex functions algorithms, 830-854

Guozhen Tana, Jinghao Sun and Guangjian Hou, The time-dependent rural
postman problem: Polyhedral results, 855-870

Xiao Wang and Ya-xiang Yuan, A trust region method based on a new
affine scaling technique for simple bounded optimization, 871-888

S. Washio, S. Yamada, T. Tanaka and T. Tanino, Expansion of the cross
efficiency evaluation by using the equations forming the efficient
frontier in DEA, 889-899

K.F.C. Yiu, M.J. Gao, T.J. Shiu, S.Y. Wu, T. Tran and I. Claesson, A
fast algorithm for the optimal design of high accuracy windows in
signal processing, 900-916

Jinping Zeng and Haixiong Yu, A Newton-like method for solving a
nonsmooth elliptic equation, 917-929

Xiaojin Zheng, Xiaoling Sun and Duan Li, A note on semidefinite
relaxation for 0-1 quadratic knapsack problems, 930-942

Forthcoming papers and complete table of contents:
http://www.mai.liu.se/~olbur/contents

Instructions for Authors and Online sample copy:
http://www.tandfonline.com/goms

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From: Fikret Aliev <piam@bsu.az>
Date: Fri, 28 Jun 2013 04:16:55 -0400
Subject: Contents, Proc Institute of Applied Mathematics, 2 (1)

Proceedings of the Institute of Applied Mathematics
V.2, N.1, 2013, ISSN 2225-0530
http://iam.bsu.edu.az/en/content/proceedings_of_institute_of_applied_mathematics01112011125221

M.A. Sadygov, On an optimization problem for the differential
inclusions with state constraints

H.S. Akhundov, On an extremum problem in the metric spaces

N.A. Ismailov, N.A. Muxtarova, Method for solution of the problem of
discrete optimization with boundary control

M.I. Ismailov, On perturbations of Xd Bessel basis in Banach spaces

G.R. Gas&#305;mov, E.A. Rzayev, A.M. Aliyev, Investigation of the
solution of a problem in the heat limited to moving a hollow cylinder

Ehsan Lotfi, Mathematical modeling of emotional brain for
classification problems

T.M. Seoudy, M.K. Aouf, Some inequalities of meromorphic p-valent
functions associated with the Liu- Srivastava operator

S.A. Shabanov, Expert-statistical approach to evaluate the scientific
success of universities in Azerbaijan

S. Ebadi, A. Zamiri, Calculating technical efficiency scores using DEA
in Sama college

V.G. Karnaukhov, REVIEW of the monograph “Non stationary
viscous-elastic waves” by M.Kh. Ilyasov, Baku,2011, p.330

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End of NA Digest

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