NA Digest, V. 19, # 8

NA Digest Sunday, February 24, 2019 Volume 19 : Issue 8

Today's Editor:

Daniel M. Dunlavy
Sandia National Labs

Today's Topics: Subscribe, unsubscribe, change address, or for na-digest archives:

Submissions for NA Digest:

From: Steven Lee
Date: February 23, 2019
Subject: DOE Scientific Machine Learning Workshop Report Available

The Department of Energy ASCR workshop report and brochure on "Basic
Research Needs for Scientific Machine Learning: Core Technologies for
Artificial Intelligence" are posted and can be found directly at:
- Report (109 pages) -
- Brochure (4 pages) -

Scientific Machine Learning (SciML) and Artificial Intelligence (AI)
will have broad use and transformative effects across the Department
of Energy. Accordingly, the January 2018 Basic Research Needs
workshop identified six Priority Research Directions (PRDs) as viewed
through the lens of applied mathematics and scientific computing. The
six PRDs provide a sound basis for a coherent, long-term research and
development strategy in SciML and AI.

From: Maxwell Hayes
Date: February 21, 2019
Subject: SIAM Data Mining (SDM19), Canada, May 2019

The SIAM Activity Group on Data Mining and Analytics (SIAG/DMA) is
happy to announce that registration and program are now available for

SIAM International Conference on Data Mining (SDM19)
Location: Hyatt Regency Calgary, Calgary, Alberta, Canada
Dates: May 2-4, 2019

Registration and the conference program are now posted at


Invited Speakers
- Emily Fox, University of Washington. U.S.
- Monika Henzinger, University of Vienna, Austria
- Francesca Rossi, IBM T.J. Watson Research Centre, U.S.
- Laks V. S. Lakshmanan, University of British Columbia, Canada


For additional information, contact the SIAM Conference Department at

From: Douglas N Arnold
Date: February 19, 2019
Subject: Geometry, Compatibility and Structure Preservation, UK, Jul 2019

Applications are now being accepted to attend the Issac Newton
Institute programme

Geometry, compatibility and structure preservation in computational
differential equations

Tutorial Workshop, July 8-12 2019

The purpose of the workshop is to introduce the audience to the wide
range of contemporary ideas and tools, originating in geometry and in
topology, to design and analyse numerical methods for differential

The workshop will feature 5 series of introductory lectures: Algebraic
Theory of numerical methods; Finite Element Exterior Calculus;
Geometric Numerical Integrators; Geometric PDE and Finite Element;
Differential Geometric methods; Lie groups through to Noether's
Theorem; as well as survey talks on topics of focus periods of the

Full details and a link to the application page can be found at

Some financial support is available; this can be requested at the same
time as the application to attend.

From: Tobias Breiten
Date: February 22, 2019
Subject: Model Reduction of Complex Dynamical Systems, Austria, Aug 2019

The 4th Workshop on Model Reduction of Complex Dynamical Systems
(MODRED 2019) will take place from August 28-30, 2019 in Graz,
Austria. The conference continues a series of model reduction
conferences previously organized in Berlin (2010), Magdeburg (2013),
and Odense (2017). Scientific topics include computational methods for
model order reduction of dynamical systems, data-driven methods,
digital twinning, model reduction methods in applications and
surrogate modelling for design and optimization.

Keynote speakers: Serkan Gugercin (Virginia Tech), Bernard Haasdonk
(University of Stuttgart), Dirk Hartmann (Siemens), Laura Iapichino
(TU Eindhoven), J. Nathan Kutz (University of Washington).

Proceedings: A special issue on model reduction of complex dynamical
systems will appear in the Springer International Series of Numerical

Early bird registration (until June 30, 2019) and abstract submission
for contributed talks (until March, 31, 2019) is now open.

More details can be found under

From: Jan-Frederik Pietschmann
Date: February 18, 2019
Subject: Chemnitz Symposium on Inverse Problems, Germany, Sep-Oct 2019

We are happy to announce that the registration for this year's
Chemnitz Symposium on Inverse Problems, on tour in Frankfurt, is now
open. The Symposium will take place from September 30th to October
2nd, 2019.

All details can be found at

Please feel free to forward this information to anybody who could be

From: Radim Blaheta
Date: February 24, 2019
Subject: Mathematical Modelling and Computational Methods Czech Republic, Sep 2019

The 7th Conference MODELLING 2019 on Mathematical Modelling and
Computational Methods will be held in Olomouc, Czech Republic,
September 16-20, 2019. For the details, see

The conference primarily concerns mathematical modelling of processes
described by partial differential equations (including certain non PDE
applications). It covers various aspects of mathematical modelling
including solutions to direct and inverse problems, development of
numerical methods, analysis of mathematical models, quantification of
uncertainties in input data, exploitation of high performance
computing on parallel computers, and modelling of challenging
industrial problems.

Important dates: March 15, 2019 (deadline for minisymposia proposals),
April 30, 2019 Abstract submission. For more deadlines see the
conference web.

From: Min Si
Date: February 19, 2019
Subject: SC19 Call for Panels, USA, Nov 2019

SC19 Panels Program - Call for Submissions

SC19: The International Conference for High Performance Computing,
Networking, Storage, and Analysis, November 17-22, 2019, Denver,
Colorado, USA

SC19 Panels will be held Tuesday-Friday, November 19-22, 2019.

Panels create an opportunity for the community to engage in discussion
on current HPC challenges and solutions. The goal of the Panels
program is to gather diverse practitioners in sharing insightful
perspectives, engaging the broader community in dialogue, and making
concrete progress toward a specific collaborative goal. We invite you
to make a submission and to offer your encouragement and assistance to
others in making submissions. Please start your submissions early and
refine them until submissions close.

Submissions Open: February 15, 2019

Submission Close: April 23, 2019
Notifications Sent: June 15, 2019

Web Submissions:

Email Contact:

From: Daniel Kressner
Date: February 23, 2019
Subject: Head of Laboratory/Professorship Position, PSI / EPFL, Switzerland

PSI and EPFL we are jointly seeking to appoint a dynamic personality
with strategic thinking abilities as Head of the Laboratory for
Scientific Computing and Modelling (LSM) at PSI, and as tenured
Professor of Computational Science and Engineering at EPFL.

PSI is a large center for multi-disciplinary research and a world
leading user laboratory. It develops and operates large complex
infrastructures that require exceptionally high standards of know-how
and experience. With 2000 employees, it is an autonomous institution
of the Swiss ETH domain.

EPFL is a leading university with a strong emphasis on basic,
engineering, and life sciences. Research and teaching within its
School of Basic Sciences includes computational mathematics,
high-performance computing, large-scale simulation, and scientific
data analysis.

Further details of the position can be found at

Applications including a motivation letter, a curriculum vitae with a
list of research outputs, a statement of research (max. 3 pages) and
teaching interests (max. 1 page), as well as the contact information
of at least five references, should be submitted in PDF format via until May 17th,

EPFL and PSI are equal opportunity employers and family friendly
institutions. They are committed to increasing the diversity among
their members. They strongly encourage women to apply.

From: Carola Schönlieb
Date: February 21, 2019
Subject: Research Associate Position, Image Analysis, Cambridge

Closing date for applications is the 27th of March.

Shortcut to the add and more information here

Research Assistant/Associate: Image Processing (Fixed Term)

Applications are invited for a two year Research Associate position to
work on a project on light sheet microscopy image analysis.

The project is entitled "Scalable image enhancement for light-sheet
microscopy: space varying deconvolution and image fusion". The project
is funded by the Isaac Newton Trust/Wellcome Trust/University of
Cambridge Joint Research Grant awarded to Dr Leila Muresan, an RSE
EPSRC fellow hosted by the Cambridge Advanced Imaging Centre. Key
collaborators include Cambridge Image Analysis-DAMTP, MRC-LMB and
Sainsbury Laboratories Cambridge University (SLCU). With the advent of
light sheet microscopy, imaging of large volumes (e.g. entire
embryos) over several days became a reality. However the analysis of
acquired datasets (on the order of terabytes) remains a challenge. The
goal of the project is to develop the computational tools that will
allow to unlock the potential of this technique. The image quality
will be enhanced via space varying deconvolution and information
fusion. The downstream analysis of the datasets will be explored. The
developed algorithms will be tested and refined based on the data
acquired by several light-sheet systems in CAIC, LMB and SLCU.

The successful candidate should have, or be about to receive, a PhD in
computer science, applied mathematics or a related area. Experience in
image processing in an interdisciplinary research environment is
required. Experience in optimisation, inverse problems, data science,
microscopy and high performance computing would be advantageous. Given
the interdisciplinary nature of the project, you will communicate and
liaise with biologists, mathematicians, engineers and physicists
forming collaborative relationships. Fixed-term: The funds for this
post are available for 2 years in the first instance.

To apply online for this vacancy, please click on the 'Apply' button
below. This will route you to the University's Web Recruitment
System, where you will need to register an account (if you have not
already) and log in before completing the online application form.
Informal enquires regarding the position should be made to Dr Leila
Muresan email: . Please quote reference PM18217 on
your application and in any correspondence about this vacancy.

The University values diversity and is committed to equality of
opportunity. The University has a responsibility to ensure that all
employees are eligible to live and work in the UK.

From: Euan Spence
Date: February 22, 2019
Subject: Postdoc Position, Univ of Bath

3-year postdoc at the University of Bath in Numerical Analysis of PDEs
for wave propagation.

More details here:

From: Thomas Ranner
Date: February 21, 2019
Subject: PhD Position, School of Computing, Univ of Leeds

PhD students are sought in the School of Computing at the University
of Leeds, UK. These studentships form part of a larger collaborative
and interdisciplinary project, that currently includes two academics
(Dr Thomas Ranner and Professor Netta Cohen), a postdoctoral fellow
and three PhD students. Funding is available for UK and EU students.

We are seeking to appoint up to three further PhD candidates: one on
the mathematical understanding of numerical methods for biomechanical
models (Dr Thomas Ranner), one on modelling the neural control of
behaviour (Professor Netta Cohen) and one experimental project,
combining behavioural experiments and machine vision (Professor Netta
Cohen). All projects are envisioned within this multidisciplinary

Deadline: 15/03/2019
More information (including contacts) is available at:

From: Sabine Le Borne
Date: February 20, 2019
Subject: PhD Positions, Computational Mathematics/Data Science, Hamburg

The recently established "Data Science in Hamburg Helmholtz Graduate
School" (DASHH) is inviting applications for 14 PhD positions
(full-time employment, 3 years). The research projects address data
challenges from application fields such as structural biology,
particle physics, material science and ultrafast X-ray science. We
are looking for applicants with a strong background in computer
science, applied mathematics or the natural sciences, preferably with
an interdisciplinary training at the interface of natural and computer
science or mathematics.

Application deadline: March 31, 2019
For more information, see

From: Vyacheslav Kungurtsev
Date: February 22, 2019
Subject: PhD Positions, Optimization and Machine Learning, Czech Technical Univ

Four PhD positions are available at the Department of Computer
Science, Faculty of Electrical Engineering (FEL), Czech Technical
University in Prague, starting September, 2019.

Two PhD positions are available under the co-supervision of Drs.
Vyacheslav Kungurtsev and Filip Zelezny, both at FEL. The focus will
be on continuous optimization algorithms for machine learning, with
the potential topic of the relationship between generalization
(training versus test accuracy) and choice of optimization algorithm
used for training deep neural networks. Correspondingly, we are
seeking applicants with a masters degree in Mathematics, Informatics,
Computer Science, or working towards one. The applicant should be
familiar with Machine learning, especially deep neural networks, and
Continuous optimization.

A PhD position is available under the co-supervision of Drs.
Vyacheslav Kungurtsev (Czech Technical University) and Jakub Marecek
(IBM Research -- Ireland). The focus will be on incorporating methods
from control engineering in algorithms for non-convex optimization,
such as in the training deep neural networks as well as incorporating
machine learning in control engineering. Correspondingly, we are
seeking applicants with a masters degree in Mathematics, Control
Engineering, Cybernetics, Informatics, Computer Science, or working
towards one. The applicant should be familiar with at least one of: 1)
Machine learning, especially deep neural networks 2) Linear control
theory (PID, integral-quadratic controllers, etc.) 3) Nonlinear
control theory 4) Continuous optimization.

A PhD student position is available in the Department of Computer
Science, Faculty of Electrical Engineering at Czech Technical
University in Prague, under the co-supervision of Drs. Vyacheslav
Kungurtsev (Czech Technical University), Jakub Marecek (IBM Research
-- Ireland), and Didier Henrion (LAAS-CNRS). The focus will be on
semidefinite programming, which is a branch of convex optimization
with extensive applications in control engineering, power systems,
signal processing, and statistics. Potential topics include those
related to time-dependent problems, semidefinite programming under
uncertainty, distributed solvers, and solvers specialised to low-rank
problem, with details to be agreed upon. Correspondingly, we are
seeking applicants with a Masters degree in Mathematics, Informatics,
Computer Science, or similar, or working towards one, and with
programming experience in MATLAB.

Funding is available for an internationally competitive salary and
travel expenses for four years, starting in September 2019. Requests
for further information and applications, including a cover letter and
a CV, should be addressed to Dr. Vyacheslav Kungurtsev

Date: February 23, 2019
Subject: Contents, J Numer Anal Approx Theory, 47 (2)

Journal of Numerical Analysis and Approximation Theory
published since 1972

Caputo fractional approximation by sublinear operators,
G.A. Anastassiou

Ball convergence for an Aitken-Newton method, I.K. Argyros, M. Kansal,
V. Kanwar

A Stancu type extension of Cheney and Sharma operators, T. Bostanci,
G. Bascanbaz-Tunca

Shape preserving properties and monotonicity properties of the
sequences of Choquet type integral operators, S. Gal

Linear complementarity problems solvable as linear programs,
Z. Kebbiche

Generalized growth and approximation errors of entire harmonic
functions in Rn, n>=3, D. Kumar

Approximations of objective function and constraints in bi-criteria
optimization problems, T.I. Luca, D.I. Duca

An infeasible interior point methods for convex quadratic problems,
H. Roumili, N. Boudjellal

Book reviews

End of Digest