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From: James Bunch jbunch@ucsd.edu
Date: June 29, 2015
Subject: Don Rose
Donald J. Rose, Professor of Computer Science at Duke University,
passed away on June 12, 2015, from sepsis which arose from a staph
infection.
Don received his BA from Berkeley in 1966 and his MA and PhD from
Harvard in 1967 and 1970. He then held positions as an Instructor of
Applied Mathematics at Harvard during Spring Semester 1970, as an
Assistant Professor of Mathematics at the University of Denver from
1970 to 1972, as an Assistant Professor and then Associate Professor
of Applied Mathematics at Harvard from 1972 to 1977, as a Professor of
Computer Science and Mathematics and as Chairman of Computer Science
at Vanderbilt from 1977 to 1978, as a Researcher at Bell Labs from
1978 to 1984, and lastly as a Professor of Computer Science and
Mathematics at Duke from 1991, as well as the Chairman of Computer
Science from 1984 to 1991.
Don's research was on numerical linear algebra, sparse matrix
computations, scientific computing, and more recently on the numerical
solution of nonlinear algebraic and differential equations.
When I was a grad student at Berkeley, I taught the course in ALGOL
programming in 1964-65; it was the lab connected to the undergrad
numerical analysis course, Math 128A. Don was a student in my class,
and he constantly had his hand raised asking questions. Later, Don
and I co-authored 4 publications on sparse matrices during 1971-76.
I am stunned by Don's passing and will greatly miss him.
James R. Bunch
Professor Emeritus of Mathematics
University of California, San Diego
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From: Des Higham d.j.higham@strath.ac.uk
Date: June 26, 2015
Subject: NA Conference Student Presentation Prize
The 26th Biennial Numerical Analysis Conference took place at the
University of Strathclyde from June 23-26th. This marked the fiftieth
anniversary of the event.
The three best student presentations at the conference are recognized
through prizes sponsored by the UK and Ireland section of SIAM.
I am delighted to announce that the prize winners this year are
Hadrien Montanelli, University of Oxford, UK,
"Computing choreographies"
Oliver Sutton, University of Leicester, UK,
"Virtual Element Methods for Elliptic Problems"
Mathea J. Vuik, Delft University of Technology, The Netherlands,
"Automated parameters for troubled-cell indicators using outlier
detection"
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From: Beauzamy Bernard.Beauzamy@scmsa.com
Date: June 24, 2015
Subject: New Book, Probabilistic Methods for the Management of Extreme Risks
New book : Méthodes probabilistes pour la gestion des risques extrêmes
(probabilistic methods for the management of extreme risks), in
French. In order to see a description of the book, please see:
http://www.scmsa.eu/archives/SCM_GRE_order.htm
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From: Bruce Bailey bailey@siam.org
Date: June 29, 2015
Subject: New Book, The Shapes of Things
Announcing the June 25, 2015, publication by SIAM of:
The Shapes of Things: A Practical Guide to Differential Geometry and
the Shape Derivative, by Shawn W. Walker
2015 / x + 152 pages / Softcover / ISBN 978-1-611973-95-2 / List Price
$74.00 / SIAM Member Price $51.80 / Order Code DC28
This self-contained overview of differential geometry explains how to
differentiate a function (in the calculus sense) with respect to a
“shape variable.†This approach, which is useful for understanding
mathematical models containing geometric partial differential
equations (PDEs), allows readers to obtain formulas for geometric
quantities (such as curvature) that are clearer than those usually
offered in differential geometry texts.
Readers will learn how to compute sensitivities with respect to
geometry by developing basic calculus tools on surfaces and combining
them with the calculus of variations. Several applications that
utilize shape derivatives and many illustrations that help build
intuition are included.
To order or for more about this book, including links to its Preface,
Contents, and Index, please visit http://bookstore.siam.org/DC28.
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From: Vanessa Styles v.styles@sussex.ac.uk
Date: June 24, 2015
Subject: Multi-physics Geometric PDE's, UK, Nov 2015
We are pleased to announce the following workshop.
"Multi-physics geometric PDE's using deformable surfaces : analysis
modelling, numerics and application."
This workshop will be held by the Department of Mathematics, at the
University of Sussex 4-6 November 2015.
This workshop is a satellite meeting of the Newton Institute Programme
'Coupling Geometric PDEs with Physics for Cell Morphology, Motility and
Pattern Formation'. Please see the link below for further information and
registration details.
http://www.sussex.ac.uk/maths/research/mpgp
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From: Ramon Planas ramon.planas@emtensor.com
Date: June 24, 2015
Subject: Researcher Position, Num Methods in Electromagnetics
EMTensor GmbH is seeking to recruit a researcher / mathematician /
computer scientist. We are looking for excellent candidates holding a
PhD in Applied Mathematics, Computational Electromagnetics or Computer
Science. Background on parallel computing, domain decomposition
techniques and/or finite elements for electromagnetics is essential. A
strong research track record in inverse problem solution of
diffraction tomography and electromagnetic imaging will be highly
appreciated. EMTensor GmbH is developing a novel biomedical imaging
modality using electromagnetics (microwave tomography). It has an
extensive IP portfolio, twenty years of internationally recognized
R&D, secure financial backing and international representation in USA
and UK. The company is located at TechGate Vienna, a technological
park in UN quarter of Vienna.
Compensation is commensurate with experience and all applications will
be considered until the position is filled.
Please submit your CV together with cover letter and evidence of
experience in computational electromagnetics and/or parallel computing
to: office@emtensor.com
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From: Sander Rhebergen srheberg@uwaterloo.ca
Date: June 26, 2015
Subject: Postdoc Position, Scientific Computing, Univ of Waterloo
Applications are invited for a one-year post-doctoral research
position with the possibility of renewal for another year in the
Department of Applied Mathematics at the University of Waterloo. The
position is available within the project "Numerical algorithms for
higher-order accurate discretizations of incompressible flows on
deforming domains". The preferred start date is January 1, 2016.
You must have a PhD in Applied Mathematics, Scientific Computing, or
similar. Demonstrated background and expertise is required in
discontinuous Galerkin finite element methods and significant
experience in C++.
Contact me at srheberg@uwaterloo.ca for more information and to send
your CV and research statement. The deadline to apply is October 1,
2015
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From: Lieven De Lathauwer Lieven.DeLathauwer@kuleuven-kulak.be
Date: June 24, 2015
Subject: PhD and Postdoc Positions, Tensor Methods, KU Leuven, Belgium
We are advertising PhD and postdoctoral positions in the Group
Science, Engineering and Technology, Kulak, KU Leuven, Belgium and
the Stadius Center for Dynamical Systems, Signal Processing and
Data Analytics, KU Leuven, Belgium.
Project: Higher-order tensors or multi-way arrays are becoming
increasingly important in all branches of mathematical engineering.
In this project we develop tensor-based methods for signal processing,
machine learning, system identification, big data analysis and data
fusion. Part of the project concerns the development of numerical
linear algebra / numerical optimization based algorithms for the
computation of (possibly large-scale) tensor decompositions and
coupled matrix/tensor decompositions.
Profile: We are seeking outstanding candidates who have obtained a
master's or doctoral degree in mathematical engineering, computer
science, electrical engineering, mathematics or physics, with a strong
interest in mathematical aspects of signal processing and a good
knowledge of linear algebra. Experience with numerical mathematics
and/or signal processing and/or polynomial equations is a plus.
Experience with tensor techniques is not required.
Successful applicants will join a well-equipped and experienced
multidisciplinary research group. The positions are initially for one
year and can be extended. Candidates are requested to send an
application letter and detailed CV to Prof. Lieven De Lathauwer
(Lieven.DeLathauwer@kuleuven-kulak.be,
http://www.esat.kuleuven.be/stadius/person.php?persid=22).
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From: Bo Kagstrom bokg@cs.umu.se
Date: June 26, 2015
Subject: Postdoc/PhD Positions, Parallel Computing, Extreme-Scale Systems
Department of Computing Science at Umea University, Sweden invites
excellent candidates to apply for postdoctoral and PhD positions. The
successful candidate(s) will join NLAFET, which is one of the
high-profile extreme-scale computing projects funded by the European
Commission within the recent FET-HPC call under Horizon 2020. NLAFET
is coordinated by Umea University with international partners from
INRIA (France), University of Manchester and STFC-RAL (UK).
Future extreme-scale supercomputers will be heterogeneous and lead to
new and challenging demands for efficient numerical algorithms and
parallel software libraries. The aim of NLAFET is to tackle these
challenges and ultimately deliver new scalable numerical libraries for
fundamental problems in numerical linear algebra, including the
solution of dense and sparse systems of equations and eigenvalue
problems. Achieving this requires a co-design effort including
developing novel algorithms, exploration of advanced scheduling
strategies and runtime systems, offline and online autotuning, as well
as avoiding communication and synchronization bottlenecks.
The positions will focus on design, implementation, and evaluation of
parallel algorithms for matrix eigenvalue problems with regards to the
extreme-scale challenges. The research will be done in close
collaboration with recognized researchers and PhD students in the
research group as well as with other partners in NLAFET.
For complete information of the positions see (dead-line for
applications is August 17, 2015):
Postdoc-English:
https://umu.mynetworkglobal.com/en/what:job/jobID:69387/where:4/
PhD-English:
https://umu.mynetworkglobal.com/en/what:job/jobID:69520/where:4/
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From: Martin Buecker martin.buecker@uni-jena.de
Date: June 27, 2015
Subject: PhD/Postdoc Positions, Big Data, Jena Univ, Germany
The Institute for Computer Science at the Friedrich Schiller
University Jena, Germany, invites applications for two PhD or
Postdoctoral Positions in computational and data-driven science for
medical applications. These four-year positions are funded by the
German Research Foundation (DFG) within the framework of a newly
established Collaborative Research Centre (CRC), a long-term research
program, crossing the boundaries of disciplines, institutes,
departments, and faculties.
More details on this big data project including the job advertisement
are available at http://c3e.de/research/project/CRC-166-Z2
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From: Wim Michiels Wim.Michiels@cs.kuleuven.be
Date: June 26, 2015
Subject: PhD Position, KU Leuven
PhD position "Computational methods for robust control of large-scale
interconnected systems"
The dynamic behavior of a linear time-invariant system is determined
by the solutions of an eigenvalue problem. Dynamical systems are often
subject to physical parameters with an important level of
uncertainty. Application engineers then want to know how sensitive the
system is with respect to these parameters, for example, how much a
parameter may change without losing stability or a performance
level. This leads us to eigenvalue problems with uncertainty. The
question how the performance or robustness of the system can be
optimized by a careful choice of design parameters or by active or
passive control, leads us to eigenvalue optimization problems.
Recently, significant advances have been obtained on robust control
design approaches, grounded in eigenvalue optimization, as well as on
solving nonlinear eigenvalue problems, arising in the analysis of
classes of large-scale systems. The aim of the PhD project is to
shift the state-of-the-art from control of stand-alone systems to
large networks of interconnected systems. The goal is to compute
simple controllers, which are easy to implement, and possibly
decentralized, i.e., where a global objective is reached by local
actions. The project will be realized by combining advances in
numerical linear algebra, control theory, numerical optimization, and
approximation theory.
The methods and algorithms are validated on problems from mechanical
and electrical engineering (traffic flow control, communication
networks,…).
Keywords: numerical linear algebra, dynamical systems, control and
optimization, uncertainty quantification
More info and application instructions at
http://people.cs.kuleuven.be/wim.michiels/vacdec.pdf
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From: Marta Betcke m.betcke@ucl.ac.uk
Date: June 29, 2015
Subject: PhD Position, Univ College London (UCL)
Applications are invited for PhD studentship to work with Dr Marta
Betcke (CMIC, CIP, CS), Dr Andrew Goldberg (IoO, RNOH), Prof David
Hawkes (CMIC, CS, MedPhys) and Guy Long (CurveBeam Europe Ltd) on
X-ray CT imaging of dynamics of weight bearing foot and ankle. The
successful candidate will be a part of the UCL Centre for Medical
Image Computing, the UCL Centre for Inverse Problems, and the
department of Computer Science researching new instrumentation and
algorithms for dynamic imaging.
The foot and ankle are complex structures comprising 28 bones and the
structure reflects the complexity of activity for movement, shock
absorption stability and balance. Successful diagnosis and treatment
planning can be extremely difficult due to limitations posed by
existing imaging modalities. Understanding the complex 3D motion of
the foot and ankle joints is vital in assessing the progression of
long term diseases such as arthritis and devising new treatments for
both injury and disease of the ankle and foot.
A new low dose vertical axis cone beam CT scanner, pedCAT, has been
developed by CurveBeam, which unique feature is the ability to provide
3D images of the weight bearing foot and ankle with the patient
standing motionless in a natural standing position. The aim of the PhD
project is to develop and implement imaging protocols and
reconstruction algorithms for imaging of dynamic function under load
with the pedCAT scanner. To this end, the candidate will
mathematically formulate the associated dynamic inverse problem (DIP)
and investigate under which conditions and with what additional
information the DIP can be uniquely and stably solved. The candidate
will devise data acquisition protocols and image reconstruction
algorithms for the proposed scenarios.
Further details are available at
https://www.prism.ucl.ac.uk/#!/?project=137 If you are interested in
applying please contact Dr Marta Betcke m.betcke@ucl.ac.uk. First
round of applications will close on 16th August 2015. The studentship
is due to start on the 28th September 2015, or as soon as possible
thereafter.
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From: Claude Brezinski claude.brezinski@univ-lille1.fr
Date: June 29, 2015
Subject: Contents, Numerical Algorithms, 69 (3)
Numerical Algorithms, Vol. 69, Issue 3
A block MINRES algorithm based on the band Lanczos method, Kirk
M. Soodhalter
Alternating direction method for the high-order total variation-based
Poisson noise removal problem, Le Jiang, Jin Huang, Xiao-Guang Lv, Jun
Liu
A note on the Hermite interpolation, Mircea Ivan
Some new periodic Golay pairs, Dragomir Z. DokoviC, Ilias S. Kotsireas
A class of balanced stochastic Runge-Kutta methods for stiff SDE
systems, Sadegh Amiri, S. Mohammad Hosseini
On preconditioned modified Newton-MHSS method for systems of nonlinear
equations with complex symmetric Jacobian matrices, Hong-Xiu Zhong,
Guo-Liang Chen, Xue-Ping Guo
An efficient and stable Newton-type iterative method for computing
generalized inverse A T , S ( 2 ) A_{T,S}^{(2)}, Fazlollah Soleymani
On generalized parameterized inexact Uzawa methods for singular
saddle-point problems, Ai-Li Yang, Yan Dou, Yu-Jiang Wu, Xu Li
A product approximation of the gamma function, Cristinel Mortici, Hari
M. Srivastava
Bounds for the zeros of symmetric Kravchuk polynomials, Ivan Area,
Dimitar K. Dimitrov, Eduardo Godoy, Vanessa Paschoa
A conservative linearized difference scheme for the nonlinear
fractional Schroedinger equation, Pengde Wang, Chengming Huang
Two-step Milstein schemes for stochastic differential equations,
A. Tocino, M. J. Senosiain
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