NA Digest Monday, January 7, 2013 Volume 13 : Issue 02

Today's Editor:
Daniel M. Dunlavy
Sandia National Labs

Submissions for NA Digest:

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Information via email about NA-NET:

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From: as <>
Date: Sat, 5 Jan 2013 10:05:23 +0000 (GMT)
Subject: Bath/RAL Numerical Analysis Day, UK, Jan 2013

The 11th Bath/RAL Numerical Analysis Day will be held at Bath
University (10.15am start in 4W 1.7) on 28th January.

Speakers will be:

Doug Arnold (Minnesota)
Phil Browne (Reading)
Jonathan Hogg (RAL)
Tony Shardlow (Bath)
Tyrone Rees (RAL)
Kevin Burrage (Oxford)

For more details see

All welcome - there is no attendance fee. Please email if any questions.


From: Christos Xenophontos <>
Date: Mon, 7 Jan 2013 03:28:26 -0500
Subject: Workshop on Problems with Layer Phenomena, Cyprus, May 2013

10th Annual Workshop on Numerical Methods for Problems with Layer

Thursday, 23rd - Friday, 24th May 2013, Larnaca, Cyprus


A two day workshop is being organised by the Department of Mathematics
and Statistics, University of Cyprus and it will take place at the
Palm Beach Hotel, Larnaca, Cyprus. 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: "Didier El Baz" <>
Date: Sat, 05 Jan 2013 19:21:05 +0100
Subject: Deadline extended: PCO'13, USA, May 2013

Final Call for Papers Workshop PCO'13

Third Workshop on Parallel Computing and Optimization

to be held in conjunction with Symposium IEEE IPDPS, Boston, USA,
May 24, 2013;

Paper Submission Deadline: January 11, 2013.

INVITED PLENARY SPEAKER: Professor Dimitri P. Bertsekas, LIDS, MIT

Topics: Integer programming, linear programming, nonlinear
programming; Global optimization, polynomial optimization; Exact
methods, heuristics; Graph partitioning, preconditioning,
Combinatorial Scientific Computing; Parallel algorithms for
combinatorial optimization; Parallel metaheuristics; Distributed
optimization algorithms; Hybrid computing and the solution of
optimization problems; Peer-to-peer computing and optimization
problems; Applications: planning, logistics, manufacturing, finance,
telecommunications, computational biology, combinatorial algorithms in
high performance computing.

Paper submission deadline: January 11, 2013
Notification of acceptance: February 19, 2013

Prospective authors should submit their papers through Workshop PCP 2013
submission system, i.e., EDAS conference management service,


From: Tom Bella <>
Date: Sun, 6 Jan 2013 17:16:43 -0500
Subject: Contributed Minisymposia, ILAS Annual Meeting, USA, Jun 2013

The scientific organizing committee welcomes proposals for contributed
minisymposia for the International Linear Algebra Society 2013 meeting
in Providence, RI, USA on June 3-7, 2013. For details about ILAS 2013,
see our website at

Minisymposia talks will be 30 minutes total (25 minutes plus 5 minutes
for discussion), and scheduled in blocks of 4 talks. Please submit
proposals for 4, 8, or 12 speaker minisymposia (the final size of
minisymposia will be fixed by the scientific committee).

Proposals should be in PDF format, and no more than 2 pages total.

Proposals should include the names of the organizers, a short
description of the topics of the minisymposium, and the names of
proposed speakers.

Proposals are due January 18th, 2013, and decisions will be reached by
February 1st, 2013.

Please email proposals directly to (both) chairs of the organizing
committee: Vadim Olshevsky and Tom Bella at,


From: Ilse Ipsen <>
Date: Sat, 5 Jan 2013 10:04:44 -0500
Subject: Graduate Student Modeling Workshop, USA, Jul 2013

The 19th Industrial Mathematical & Statistical Modeling (IMSM)
Workshop for Graduate Students will take place at North Carolina State
University, 15-23 July 2013. The workshop is sponsored by the
Statistical and Applied Mathematical Science Institute (SAMSI)
together with the Center for Research in Scientific Computation (CRSC)
and the Department of Mathematics at North Carolina State University.

The IMSM workshop exposes graduate students in mathematics,
engineering, and statistics to exciting real-world problems from
industry and government. The workshop will provide students with
experience in a research team environment and exposure to possible
career opportunities. Local expenses and travel expenses will be
covered for students at US institutions.

The application deadline is 15 April 2013.
Information is available at,
and questions can be directed to

With best regards,
Ilse Ipsen, Pierre Gremaud, and Ralph Smith


From: Vincent Natoli <>
Date: Fri, 4 Jan 2013 08:43:46 -0500
Subject: Computational Scientist Position, Stone Ridge Technology

Stone Ridge Technology has an immediate opening for a full-time
computational scientist. The candidate will join a team of physicists,
applied mathematicians and computer scientists working on large-scale
high performance scientific and engineering codes in a variety of
disciplines including Energy, Oil and Gas and Finance. Exceptional
ability in C++, C and UNIX required. The candidate should have
experience coding for performance, experience with
multicore/multi-node and GPU programming and the ability to rapidly
understand and contribute to complex technical codes in a variety of
engineering and scientific disciplines. PhD in Physics, Applied Math,
Engineering or Computer Science preferred.

Exceptional programming ability in C++.
Experience with large technical codes as primary author.
Experience programming for performance.
Experience in GPU programming with CUDA.
Experience in parallel programming, OpenMP, MPI, pThreads.
Experience with Unix systems.

PhD in Physics, Applied Math, Engineering or Computer Science.
Experience with the numerical solution of PDE’s.
Experience with sparse linear algebra.
Experience with Geophysics, CFD, MHD or CEM.

Stone Ridge Technology provides services and products to the High
Performance Computing industry focusing in Oil and Gas, Bioinformatics
and Finance. It develops, ports and optimizes scalable physics and
engineering based technical codes for modern multi-core and GPU
compute architectures. It markets GAMPACK, a scalable high-performance
GPU-based Algebraic Multigrid linear solver library. Candidates
should be comfortable with a challenging, high-energy
environment. Compensation includes salary, bonus and equity
options. Interested candidates should email resumes to Dr. Vincent
Natoli: This position is in Bel Air,


From: Haesun Park <>
Date: Fri, 4 Jan 2013 11:08:41 -0500
Subject: Faculty Positions, School of CSE, Georgia Tech

The School of Computational Science and Engineering of the College of
Computing at the Georgia Institute of Technology invites applications
for tenure-track faculty positions. Applications at all levels of
service will be considered. We encourage applications from all areas
of computational science and engineering. Applicants with expertise in
areas related to high-performance computing, scientific computing,
large-scale data analytics, visualization, computational systems
biology, modeling & simulation, or complex systems are especially
encouraged to apply.

Applications will be considered until open positions are
filled. However, to receive full consideration; applications should be
submitted online through
immediately. The application material should include a full academic
CV, teaching and research statements, a list of at least three
references and up to three publications.

For more information about the School of Computational Science and
Engineering please visit:


From: Ronald Boisvert <>
Date: Thu, 3 Jan 2013 10:17:40 -0500
Subject: Postdoc Positions, NIST

The US National Research Council (NRC) Associateship Program is
accepting applications for two-year appointments for postdoctoral
research at the National Institute of Standards and
Technology (NIST) in Gaithersburg, Maryland and Boulder,
Colorado. Among the topic areas of interest are image analysis,
dynamical systems, combinatorial and discrete algorithms, applied
optimization and control, compressive sensing, scientific data
mining, immersive visualization, parallel/distributed computing,
and verification, validation, and uncertainty quantification in
scientific computing. Of particular interest are applications
in materials science, electromagnetics, optoelectronics,
computational biology, network science, quantum information,
and computer security. For details see

Competition for postdoctoral awards across all NIST technical
program areas is managed by the NRC. Applications must be
submitted directly to the NRC; the deadline for applications is
February 1. An additional competition is held in the summer, with
an application deadline of August 1. Note that the NRC program at
NIST is restricted to US citizens.


From: Grigorios Pavliotis <>
Date: Sun, 06 Jan 2013 22:11:09 +0000
Subject: PhD Position, Sochastic Climate Models, Imperial College London

PhD Position on Data-driven derivation of stochastic climate models,
Department of Mathematics, Imperial College London
Supervisor: Dr G.A. Pavliotis (;
co-Supervisor: Dr C.J. Cotter (
Funded by the Grantham Institute for Climate Change.

The goal of this project is to develop a toolkit of systematic
statistical methods for diagnosing dynamical behaviours (such as
bistability) from climate proxy data, and quantifying our uncertainty
in this diagnosis.

Kwasniok and Lohmann (2009) proposed a one dimensional model for this
data, consisting of stochastically forced motion in a double well
potential, and attempted to estimate the parameters describing the
shape of the well from the data using an unscented Kalman
filter. Their parameters indicated that the lower ?18O state was much
more stable than the upper state. However, they did not attempt to
estimate confidence intervals for their parameters, nor did they test
the hypothesis that the model predicts the data well; a preliminary
study using more rigorous methods suggests that the errors are too
large to make any statements about metastability with this length of
data. In this project, we will utilise the wealth of analytical,
computational and statistical techniques have been developed in recent
years for the study of complex multiscale dynamical systems. These
techniques enable us to obtain low dimensional effective dynamics that
capture accurately the evolution of a few appropriately selected
variables (slow variables, resolved degrees of freedom) at the length
and time scales of interest. Such adiabatic elimination and
coarse-graining methodologies can be made rigorous under the
assumption of scale separation. One important development in recent
years is the systematic use of data in the derivation and validation
of the effective dynamics (data-driven coarse graining). The goal of
the PhD studentship is the systematic use of analytical, statistical
and computational techniques for deriving low-dimensional stochastic
climate models in a data-driven framework. In particular main
objective will be the following: given noisy data from the original
dynamics (projected onto the slow variables), estimate parameters (or
even the functional form) in the effective dynamics. A first step in
this direction was taken in Pavliotis and Stuart (2007), with
applications to oceanic transport in Cotter and Pavliotis (2009). In
this work, one of the key issues has been the issue of model
misspecification: the effective stochastic model is only valid on long
timescales and so the data must be subsampled appropriately. In this
project, we will take this toolkit and apply it to a number of climate
proxy datasets, concentrating on using parameter estimation to detect
bistable/metastable states and stochastic resonances. These phenomena
result in nonlinear threshold behaviour which are often discussed in
the context of the impacts and costs of climate change. We will employ
bootstrapping methods to test hypotheses about relationship between
the model and the data, and to quantify uncertainty about statements
about the model. We will investigate hierarchies of models and
quantify the amount of data that is required to make statements at
different heirarchical levels. The result will be a defendable
quantification of what can be inferred about climate behaviour from a
given dataset, which will provide a useful guide for climate
policymakers; we will emphasise the communication of these results in
the project.

Up to 10 Grantham-funded studentships will be available from October
2013, for new students. Studentships cover home/EU fees and bursary
for three years and are open to UK and EU candidates, as well as
overseas candidates who would be able to pay the difference between
home and overseas fees. Further details of the fees payable by
overseas students are available on the College website

[1] C.J. Cotter and G. Pavliotis, Estimating eddy diffusivities from
noisy Lagrangian observations, Commun.
Math. Sci. (2009).
[2] F. Kwasniok and G. Lohmann. Deriving dynamical models from
paleoclimatic records: application to
glacial millennial-scale climate variability. Phys. Rev. E. (2009).
[3] G.A. Pavliotis and A.M. Stuart, Parameter estimation for multiscale
diffusions, J. Stat. Phys. (2007).

Applicants should contact the supervisors (Dr. G.A. Pavliotis, and Dr C.J. Cotter, directly in order to discuss the potential
projects and submit a CV, covering letter and the names of two academic
referees. Supervisors will advise students of any further/alternative
departmental requirements. The latest date for applications to
supervisors is *1 February 2013. * Interviews are expected to be held in
mid February.

Further information about the Grantham Institute PhD Studentships can
be found at


From: "Collis, Samuel Scott" <>
Date: Thu, 3 Jan 2013 19:20:45 +0000
Subject: Summer Intern Positions, Computer Science Research Institute

Sandia National Laboratories' Computer Science Research Institute
(CSRI) located in Albuquerque, NM seeks multiple students to
participate in collaborative research across a wide range of areas in
computer science, applied mathematics, and computational science and
engineering. Possible research areas include advanced computer
architectures, systems software, programming languages and paradigms,
networks, informatics and information sciences, combinatorial
mathematics, discrete event simulation, scalable linear and nonlinear
solvers, continuous and discrete optimization, uncertainty
quantification, statistics, multi-scale methods and mathematics,
multi-physics modeling, visualization, and meshing. Students are also
sought with interests in applying computational methods to scientific
and engineering applications including shock physics,MHD, CFD,
electrical systems, MEMS, and climate science.

These student summer internships are for motivated and enthusiastic
individuals with excellent communication skills that have the desire
to gain research experience in a highly collaborative research
environment. Successful applicants will be exposed to a wide range of
computational research at Sandia and will have a strong project-based
research experienceworking directly with Sandia staff scientists.

To learn more about the requirements for graduate and undergraduate
positions, and to apply online, please visit us at, click Advanced
Search and reference the specified Job Opening ID Number: 642453 (for
current graduate students) and 642451 (for current undergraduate

U.S. Citizenship Normally Required. Equal Opportunity Employer.


From: "Prof. T. Tang" <>
Date: Sat, 5 Jan 2013 13:55:13 +0800 (HKT)
Subject: Contents, East Asian Journal on Applied Mathematics, 2(4)

East Asian Journal on Applied Mathematics (EAJAM)
Volume 2, Number 4, 2012

J. Ding and N. H. Rhee, A Nontrivial Solution to a Stochastic Matrix
Equation, pp. 277-284.

Roger J. Hosking and Fausto Milinazzo, Modelling the Floating Ladder
Track Response to a Moving Load by an Infinite Bernoulli-Euler Beam on
Periodic Flexible Supports, pp. 285-308.

Jiwoon Kim, Dongwoo Sheen and Sungwon Shin, Option Pricing of Weather
Derivatives for Seoul, pp. 309-325.

Raymond H. Chan, Min Tao, and Xiaoming Yuan, Linearized Alternating
Direction Method for Constrained Linear Least-Squares Problem,
pp. 326-341.

L. H. Wiryanto and H. B. Supriyanto, The Contraction Coefficient of a
Free-Surface Flow Under Gravity Entering a Region Beneath a
Semi-Infinite Plane, pp. 342-352.

Hao Jiang, Xi Chen, Yushan Qiu and Wai-Ki Ching, On Generating Optimal
Sparse Probabilistic Boolean Networks with Maximum Entropy from a
Positive Stationary Distribution, pp. 353-372.

End of NA Digest