NA Digest, V. 19, # 25

NA Digest Monday, July 01, 2019 Volume 19 : Issue 25


Today's Editor:

Daniel M. Dunlavy
Sandia National Labs
[email protected]

Today's Topics: Subscribe, unsubscribe, change address, or for na-digest archives: http://www.netlib.org/na-digest-html/faq.html

Submissions for NA Digest:

http://icl.utk.edu/na-digest/


From: Jon Gibson [email protected]
Date: June 24, 2019
Subject: Webinar, Software for Linear Algebra Targeting Exascales (SLATE)


Friday 5 July 2019
14:00hrs BST / 15:00hrs CEST

In this 30 minute live webinar, Jack Dongara will discuss the SLATE
Project. SLATE is to provide fundamental dense linear algebra
capabilities for today's high-performance computing (HPC)
community. To this end, SLATE will provide basic dense matrix
operations (e.g., matrix multiplication, rank-k update, triangular
solve), linear systems solvers, least square solvers, singular value
and eigenvalue solvers.

The ultimate objective of SLATE is to replace the Scalable Linear
Algebra PACKage (ScaLAPACK) library, which has become the industry
standard for dense linear algebra operations in distributed memory
environments. However, after two decades of operation, ScaLAPACK is
past the end of its lifecycle and overdue for a replacement, as it can
hardly be retrofitted to support hardware accelerators, which are an
integral part of today's HPC hardware infrastructure.

Please register at
https://register.gotowebinar.com/register/6263384879794614019



From: Alison Ramage [email protected]
Date: June 30, 2019
Subject: Student Prize Winners, Strathclyde NACONF, Jun 2019


The 28th Biennial Conference on Numerical Analysis took place at the
University of Strathclyde from June 25th-28th: thanks to all who
participated in making the meeting such a great success.

The three best student presentations at the conference were recognised
through prizes sponsored by the UK and Ireland section of SIAM. We are
delighted to announce that the prize winners this year were

Jakub Stocek, Heriot-Watt University, "Optimal operator
preconditioning for pseudodifferential boundary problems"

Yohanes Tjandrawidjaja, ENSTA Paristech, "The Half-Space Matching
Method and its application to wave scattering in elastic plates"

Heather Wilber, Cornell University, "Compression properties in
rank-structured solvers for Toeplitz linear systems"

Many thanks to the judging panel of Francesca Arrigo, Dugald Duncan
and Andy Wathen for making this very difficult decision.

Philip Knight, John Mackenzie, Alison Ramage
NACONF 2019



From: Rujuan Ding [email protected]
Date: June 25, 2019
Subject: Feng Kang Prize of Scientific Computing


The 13th Feng Kang Prize of Scientific Computing has been honored to:

Dr. Jun Hu,
Peking University, China

Dr. Haomin Zhou,
Georgia Institute of Technology, USA

For their significant contributions in mixed finite element methods of
elasticity problems; and computational methods based on wavelets and
PDE for signal /image processing and the theory of optimal transport
on graphs and its application in engineering.

The ceremony will be held at the General Assembly of the China Society
for Computational Mathematics, Haerbin, July 31-August 4, 2019.

The Office of Feng Kang Prize of Scientific Computing
Beijing, June 26, 2019


From: Kris ONeill [email protected]
Date: June 24, 2019
Subject: New Book, Probability and Mathematical Statistics


Probability and Mathematical Statistics: Theory, Applications, and
Practice in R by Mary C. Meyer

This book develops the theory of probability and mathematical
statistics with the goal of analyzing real-world data. Throughout the
text, the R package is used to compute probabilities, check
analytically computed answers, simulate probability distributions,
illustrate answers with appropriate graphics, and help students
develop intuition surrounding probability and statistics. Examples,
demonstrations, and exercises in the R programming language serve to
reinforce ideas and facilitate understanding and confidence.

Mary C. Meyer is a statistics professor at Colorado State University,
where her main area of research is estimation and inference in
statistical models with inequality constraints. This includes
nonparametric function estimation using constrained regression
splines, density and hazard function estimation with shape
constraints, and models with order restrictions.

June 2019 / Approx. xii + 707 pages / Hardcover / 978-1-611975-77-2 /
List $109.00 / SIAM Member $76.30 / OT162

See more details here: http://bookstore.siam.org/ot162



From: Christian Vergara [email protected]
Date: June 29, 2019
Subject: New Book, Mathematical Modelling of the Human Cardiovascular System


Mathematical Modelling of the Human Cardiovascular System - Data,
Numerical Approximation, Clinical Application,
by Quarteroni A., Dede' L., Manzoni A., Vergara C, Cambridge
University Press
https://www.cambridge.org/it/academic/subjects/mathematics/mathematical-modelling-
and-methods/mathematical-modelling-human-cardiovascular-system-data-numeric\
al-approximation-clinical-applications?format=HB&isbn=9781108480390

In this book the two principal aspects of the cardiovascular system
are addressed: arterial circulation and heart function. All aspects of
the problem are described, ranging from data imaging acquisition,
stating the basic physical principles, analyzing the associated
mathematical models that comprise PDE and ODE systems, proposing sound
and efficient numerical methods for their approximation, and reporting
numerical results for both benchmark problems and clinically inspired
problems. Critical issues involve filtering the data, identifying the
parameters of mathematical models, devising optimal treatments and
accounting for uncertainties. For this reason, the final part of the
book is devoted to control and inverse problems, including parameter
estimation, uncertainty quantification and the development of
reduced-order models.



From: Pamela Bye [email protected]
Date: June 26, 2019
Subject: Nonlinearity and Coherent Structures, UK, Jul 2019


3rd IMA Conference on Nonlinearity and Coherent Structures
10 - 12 July 2019, Northumbria University, Newcastle upon Tyne, UK

Still time to register!

Nonlinearity plays an important role in many fields of Science,
Engineering and Technology. The aim of this conference is to bring
together researchers working on aspects of nonlinear phenomena and to
encourage interaction between experts from different areas such as
Applied Mathematics, Mathematical Analysis, Fluid Dynamics,
Engineering and Physics. Recent theoretical developments, new
computational methods and experimental findings will be presented and
discussed. We plan to avoid parallel sessions and foster as much as
possible communication across the different communities. This
Conference has been organised in cooperation with the Society for
Industrial and Applied Mathematics (SIAM) and Northumbria University.

Conference topics include: Integrable systems and soliton theory;
Nonlinear waves and nonlinear evolution equations; Dispersive
hydrodynamics; Rogue waves and extreme wave phenomena; Instability in
nonlinear media; Orthogonal polynomials; Mathematical biology;
Coherent structures in shear flows and transition to turbulence

Further information
https://ima.org.uk/10959/3rd-ima-conference-on-nonlinearity-and-coherent-structures/

Contact information: For scientific queries please contact: Dr Matteo
Sommacal (Northumbria University) - [email protected]


From: Philipp Morgenstern [email protected]
Date: June 21, 2019
Subject: Summer School, Space-Time FEM for Conservation Laws, Germany, Aug 2019


Let me draw your attention to the 5th Summer School on Applied
Mathematics and Mechanics, which will take place at the Leibniz
University Hannover on *August 7-9, 2019*. The topic is Space-Time
Finite Element Methods for Parabolic and Hyperbolic Conservation Laws.

The program will last from Wednesday morning until Friday afternoon.
The registration fee is 50 EUR for academic attendees. It includes
lectures, programming tutorials, coffee breaks and the conference
dinner. Registrations can be made via email to
[email protected] until June 25, 2019.

For further details on program, registration, childcare etc., please
visit www.ifam.uni-hannover.de/samm2019 .

Confirmed speakers:

Lectures will be given by
- M.Sc. M.Phil. Enno Fischer (Uni Hannover)
- Prof. Dr. Christian Hesch (Uni Siegen)
- Prof. Dr. Olaf Steinbach (TU Graz)
- Prof. Dr. Jaap van der Vegt (Uni Twente)
and programming tutorials by
- Dipl.-Ing. Julia Hauser (TU Graz)



From: Dirk Praetorius [email protected]
Date: June 28, 2019
Subject: Reliable Methods of Mathematical Modeling, Austria, Sep 2019


The biennial RMMM conferences bring together scientists developing
reliable methods for mathematical modeling. The 9th edition of the
conference will take place on September 9-13, 2019, at TU Wien.

Homepage: https://www.asc.tuwien.ac.at/rmmm2019/

Confirmed speakers:
Soren Bartels (University of Freiburg, Germany):
- "Simulation of twisted rods"
Alex Bespalov (University of Birmingham, UK):
- "Convergence analysis of adaptive stochastic Galerkin FEM"
Helmut Harbrecht (University of Basel, Switzerland):
- "Modelling and simulation of partial differential equations on random
domains"
Norbert Heuer (Pontifical Catholic University of Chile):
- "DPG theory and techniques for plate bending problems"
Christian Kreuzer (TU Dortmund, Germany):
- "Recovery of conformity: quasi-optimal and pressure robust
discretisations of the Stokes equations"
Ilaria Perugia (University of Vienna, Austria):
- "Adaptive hp discontinuous Galerkin methods for the Helmholtz equation"
Ernst Peter Stephan (University of Hannover, Germany):
- "hp-FEM for variational inequalities of the second kind involving the p-
Laplacian"
Rob Stevenson (University of Amsterdam, Netherlands):
- "Stability of Galerkin discretizations of a mixed space-time variational
formulation of parabolic evolution equations"
Martin Vohralik (Inria Paris, France):
- "A posteriori error estimates and adaptivity taking into account algebraic
errors"

Deadline for abstract submission: July 07, 2019
Deadline for registration: July 31, 2019


From: Patrick Henning [email protected]
Date: June 25, 2019
Subject: New Trends in Asymptotic Methods for Multiscale PDEs, Sweden, Oct 2019


International Workshop on "New Trends in Asymptotic Methods for
Multiscale PDEs" in Karlstad, Sweden, 21-25 October 2019

For detailed information about this workshop, for registration and for
abstract submissions, please visit the following website:
https://www.kau.se/index.php/en/mathematics/conferences-and-seminars/homogenization-
transport-through-thin-heterogeneous-layers

The workshop has a general focus on multiscale partial differential
equations, both from an analytical and a numerical point of few. As
one core topic it aims at advancing the understanding of transport
through thin heterogeneous layers and singular sources
(e.g. productions by fast reactions and/or quenching) by exploiting
fundamental properties of special structures (continuous, discrete,
and stochastic) using tailor-made matrix analysis for sparse systems,
multiscale asymptotics techniques, approximation theory for
measure-valued equations, distributed parameter control,
homogenization theory of partial differential equations, etc.

Contributed talks are welcome and suggestions can be submitted by
email. The workshop also contains three mini-courses on the first two
workshop days which are, in particular but not exclusively, directed
to PhD students.



From: Jens Saak [email protected]
Date: June 24, 2019
Subject: Matrix Equations and Tensor Techniques, Germany, Nov 2019


It is a pleasure to announce the 8th Workshop on Matrix Equations and
Tensor Techniques (METT VIII), which will be held in Magdeburg
(Germany) on November 06-08, 2019.

This workshop is the eighth in a series of workshops on matrix
equations and tensor techniques and takes place at the Max Planck
Institute for Dynamics of Complex Technical Systems. As in the
previous meetings, the focus will be on the latest developments in the
theory, computation and applications of linear and nonlinear matrix
equations and tensor equations. All participants are invited to
present their own work at the workshop by either a talk or a poster
presentation.

The deadline for submitting an abstract is September 30th, 2019 while
the registration is due by October 11th, 2019.

Further information at:
https://www.mpi-magdeburg.mpg.de/csc/events/mett2019



From: Dirk Roose [email protected]
Date: June 28, 2019
Subject: Research Professorship Position, Computational Materials Science, KU Leuven


At KU Leuven, Faculty of Engineering, Department of Materials
Engineering and Department of Computer Science, there is a joint
full-time academic vacancy in the area of Computational Materials
Science. The aim is to complement the existing expertise in both
departments and to bring KU Leuven to the forefront of the rapidly
expanding field of computational materials science. Candidates with an
interdisciplinary research record and with educational competence
within the fields of Materials Science and Engineering, and Scientific
Computing are invited to apply via
https://www.kuleuven.be/personeel/jobsite/jobs/55136006?
hl=en&lang=en. More information on the vacancy and the departments can
be found on https://set.kuleuven.be/en/about-us/vacancies/ZAP-2019-72.

Deadline for application: Sunday, 15 September 2019


From: Bernard Beauzamy [email protected]
Date: June 19, 2019
Subject: Research Engineer Position, Mathematical Modelling Company, Inc


Our Company, Societe de Calcul Mathematique SA (Mathematical Modelling
Company, Inc), based in Paris, France, announces the opening of a
position of Research Engineer, to be filled on August 1st, 2019.
Candidates may apply as soon as possible. Requirements : Master level
(Bac+5) in mathematics or other scientific disciplines (physics,
environment, and so on). Ability to program in VBA and Matlab, or
similar languages. Good preliminary knowledge in probabilities is
expected. The candidate should speak French or at least learn it
quickly (a candidate may speak English at the beginning). A general
presentation of our activities is given on our web site:
http://scmsa.eu/accueil_e.htm (in English). A more detailed
description of the job is given:
http://scmsa.eu/emploi/SCM_emploi_IR.pdf (in French)


From: Ray Mejía [email protected]
Date: June 18, 2019
Subject: Support Scientist and System Administrator Positions, HPC, NIH


For Support Scientist and System Administrator positions please see
https://hpc.nih.gov/about/recruit.html .


From: Yvan Notay [email protected]
Date: June 21, 2019
Subject: Postdoc Position, Computational Math, Ecole Polytechnique de Bruxelles, Belgium


A 2 year postdoc position is open at Ecole Polytechnique de Bruxelles
(Universite Libre de Bruxelles, Belgium) within the Numerical Analysis
Group lead by Yvan Notay and Artem Napov.

Research are to be conducted within the framework of the (H2020
founded) Energy oriented Centre of Excellence in computing
applications (EoCoE). This initiative aims at porting towards exascale
some of the biggest European simulation codes in the domain of
energy. The Numerical Analysis Group contributes with the linear
system solver AGMG (http://agmg.eu), which is integrated in several of
the EoCoE application codes. The successful candidate will work both
on the improvement of the integration of AGMG in these codes, and on
the improvement of its core performance on extreme scale
architectures.

AGMG is a linear system solver based on algebraic multigrid, using
some unique features that allow it to be world leader in its
category. Altogether, publications related to AGMG have attracted more
than 800 citations. Entering the team represents a unique opportunity
to work on a cutting edge project mixing numerical mathematics and HPC
programming.

The position will remain open until it is filled.

For more information and how to apply, see
http://homepages.ulb.ac.be/~ynotay/Postdoc_Position.html



From: Lúcio Tunes dos Santos [email protected]
Date: June 25, 2019
Subject: Postdoc Position, Investigating Prospective Teachers Experiences


The Center for Research in Mathematical Sciences Applied to Industry
(CEPID-CeMEAI) at University of Sao Paulo opens a post-doctoral
research position in Mathematics Teaching and Mathematics Teacher
Training. The selected candidate will work at Institute of
Mathematics, Statistics and Scientific Computation (IMECC) of
University of Campinas (UNICAMP) in Campinas/SP, Brazil. Financial
support will be provided by Sao Paulo Research Foundation
(FAPESP). The position is for one year and the starting date is July
2019. More information is avaliable at www.fapesp.br/bolsas/pd.

Project: Investigating prospective teachers experiences in the
mathematics teacher training degree at UNICAMP
Supervisor: Lucio Tunes dos Santos

Job Description: The lack of teachers in STEM (science, technology,
engineering and mathematics) areas is a worldwide concern and the
scenario is not different in Brazil. Even at the University of
Campinas (UNICAMP), which is among the top universities in the
country, the completion rate in mathematics teaching is below the
average for other degrees and worryingly low considering the relevance
of the profession and the shortage of professionals available. The
main objective of this project is to investigate the experience of
prospective mathematics teachers enrolled in the training degree at
UNICAMP aiming at understanding what are the influences behind the
particularly low completion rate in this degree. The experience of
those involved suggests a few possible issues such as: admission of
students with low prior knowledge in mathematics, challenging
transition to higher education, low attractiveness of the teaching
career and lack of support during higher education. A secondary
objective is to understand the profile of those who choose this career
at UNICAMP, aiming at developing strategies to attract and increase
the interest for such an important career for the development of
Brazilian education. Under the guidance of the teacher Laura Rifo.

Requirements: The position requires a PhD with proven background in
studies in mathematics, mathematics education and teacher training. It
is expected that the candidate will be able to build a relationship
with the participants and work together with the research group. The
candidate must have completed his doctorate in the last 2 years.

Application: Interested candidates should send an e-mail with the
subject "CEPID Postdoc - Mathematics Teaching";
([email protected]), enclosing a cover letter including names and
contact information of two professionals who can recommend it (not
including letters of recommendation) and curriculum. All documents
must be sent in PDF format.

The deadline for sending documents is July 10, 2019.


From: Lorenzo Tamellini [email protected]
Date: June 21, 2019
Subject: Postdoc Position, UQ+IGA, CNR-IMATI / Pavia, Italy


Applications are invited for a postdoctoral position on "Uncertainty
Quantification and Isogeometric Analysis". The position will be at
CNR-IMATI, located in Pavia (Italy), and the research activity will be
carried on under the supervision of Lorenzo Tamellini. Ideal
candidates should have a strong background on numerical methods for
PDEs and Uncertainty Quantification, as well as on C/C++ or
Matlab/Python programming.

The deadline for the application is July 26. Further details can be
found on the website
https://sites.google.com/view/postdoc-positions-at-cnr-imati



From: Bonita V. Saunders [email protected]
Date: June 21, 2019
Subject: Postdoc Position, Validated Computation of Special Functions, NIST


A two-year postdoctoral research opportunity in validated computation
of special functions is available at the National Institute of
Standards and Technology in Gaithersburg, MD through the US National
Research Council (NRC) Associateship Program. Applicants must be US
citizens. The application deadline is August 1, 2019.

NIST's Applied and Computational Mathematics Division (ACMD) is
developing an online system for generating validated tables of special
function values with an error certification computed to user-specified
precision. A typical user might be a researcher or software developer
testing his own code or confirming the accuracy of results obtained
from a commercial or publicly available package. The goal is to create
a standalone system, but also link to and from the NIST Digital
Library of Mathematical Functions (https://dlmf.nist.gov/).

The project, DLMF Standard Reference Tables on Demand (DLMF Tables),
is a collaborative effort with the University of Antwerp Computational
Mathematics Research Group (CMA) led by Annie Cuyt. A beta site based
on CMA's MpIeee, a multiprecision IEEE 754/854 compliant C++ floating
point arithmetic library, is available at
http://dlmftables.uantwerpen.be/ . The successful candidate will
advance our current efforts in the field of validated computing
through the continued research and development of multiple precision
function software providing guaranteed error bounds at arbitrary
precision. The associate will also help expand DLMF Tables into a
full-fledged site, as well as investigate the enhancement of existing
multiprecision libraries for possible inclusion in DLMF Tables.

Before formally applying, candidates should contact
[email protected] to discuss this appointment. For additional
information on NIST ACMD postdoc opportunities see
https://www.nist.gov/itl/math/postdoctoral-opportunities.



From: Evrim Acar [email protected]
Date: June 27, 2019
Subject: PhD and Postdoc Positions, Machine Learning/Data Mining


We have one Postdoc and two PhD positions in machine learning and data
mining for personalized cancer screening at SimulaMet (Simula
Metropolitan Center for Digital Engineering) and Cancer Registry of
Norway, Oslo, Norway. The positions are available as a part of the
Norwegian-funded research project DeCipher in collaboration between
SimulaMet, Cancer Registry of Norway, Lawrence Livermore National
Laboratory (LLNL), and Karolinska University Hospital.

The DeCipher project aims to develop a data-driven framework to
provide a personalized time-varying risk assessment for cancer
initiation and identify subgroups of individuals and factors
leading to similar disease progression. Specifically, the following
three sub-projects will be investigated:
- Development of matrix factorization approaches for reconstruction of
individualized disease trajectories from longitudinal screening data
(PostDoc at SimulaMet)
- Development of geometric deep learning framework for reconstruction
of individualized disease trajectories from longitudinal screening
data (PhD fellow at Cancer Registry)
- Development of data fusion approaches based on matrix and tensor
factorizations for joint analysis of longitudinal screening data and
lifestyle information as well as other relevant health data (PhD
student at SimulaMet)

Application deadline: August 15, 2019

Interested candidates can learn more about the project and submit
their applications through the application portal:
https://www.simula.no/about/job/call-2-phd-and-1-postdoctoral-positions-machine-
learning-and-data-mining-personalized


From: Sabine Le Borne [email protected]
Date: June 20, 2019
Subject: PhD/Postdoc Position, Hamburg Univ of Technology


The Math Department of Hamburg University of Technology (TUHH,
Germany) is offering a PhD/Postdoc position to contribute to research
projects in the field of Numerical Linear Algebra/Structured Matrix
Techniques.

Besides research, the position includes teaching responsibilities (in
German and/or Englisch). The position is available January 1, 2020,
for a duration of three years. The salary level is according to the
German public service regulation (TV-L 13).

For additional information, please refer to
https://stellenportal.tuhh.de/jobposting/56ef5409d56397c8beedc18414c8270f7dee7b19
or contact Sabine Le Borne ([email protected]). The application
deadline is August 7, 2019.



From: Jack S. Hale [email protected]
Date: June 25, 2019
Subject: PhD Position, Data-Driven Mathematical Modelling of Ecohydrological Systems


Applications are invited for a PhD fellow in "Data-Driven Mathematical
Modelling of Ecohydrological Systems" at the University of Luxembourg,
under the supervision of Dr. Jack S. Hale, Prof. Christophe Ley and
Dr. Stan Schymanski within the FNR DRIVEN PRIDE DTU
https://driven.uni.lu/

The position is fully funded for up to 4 years with excellent pay and
conditions.

Possible research directions include:
- Bayesian model comparison to quantify the effects of physical laws,
calibration, extremum principles and information theoretic
approaches on eco-hydrological model precision and reliability.
- Novel extremum principles for optimal nutrient uptake based on
stochastic cost measures.
- Uncertainty quantification of root plant nutrient uptake using
mixed-dimensional coupled stochastic partial differential equation
models.

Further details and application procedure can be found here:
http://emea3.mrted.ly/26xf1



From: Armin Eftekhari [email protected]
Date: June 30, 2019
Subject: PhD Position, Mathematical Statistics


The Department of Mathematics and Mathematical Statistics at Umea
University is opening a PhD position in mathematical statistics,
focused on statistical learning with sparsity and deep network
models. The position is for four years of research, including courses
at the graduate level. Last day to apply is August 30, 2019.

Project description:
Modern statistical learning is at the forefront of the advances in
data science and artificial intelligence, and the main objective of
this doctoral position is to develop cutting-edge mathematical theory
and the next generation of computational tools to address the
challenges in these areas with an emphasis on learning with sparsity
and other emerging data models, and to potentially explore their
applications in AI, including medical imaging, automated quality
control, and self-driving cars, evaluated on both simulated and real
data. Understanding and exploiting structure in data to extract useful
information from big datasets with the purpose of making optimal
decisions will be the main research thrust for this position, where we
investigate data models ranging from sparsity, to rank constraints, to
deep network models, such as generative adversarial networks.

Application:
For more information about this position and to apply, please visit
https://www.umu.se/en/work-with-us/open-positions/wasp-ai-program-phd-position-in-
mathematical-statistics_279010/
or directly contact Jun Yu ([email protected]) and Armin Eftekhari
([email protected]).



From: Lihong Feng [email protected]
Date: June 20, 2019
Subject: PhD Position, Max Planck Institute, Magdeburg, Germany


The department of Computational Methods in Systems and Control Theory
at the Max Planck Institute for Dynamics of Complex Technical Systems,
Magdeburg, Germany offers a Ph.D. position working in model order
reduction for computational fluid dynamics

Expected Requirements: Master's degree or equivalent (obtained or to
be available soon) in Applied Mathematics, Computational Mathematics,
Computational Science and Engineering; Familiarity with numerical
methods for solving partial differential equations and ordinary
differential equations, e.g., finite element method, finite difference
method, or finite volume method; Familiarity with basics of model
order reduction, numerical linear algebra, and/or system and control
theory; Experience in programming with MATLAB or C++; High motivation
in academic research; Excellent oral, reading and writing skills in
English.

The successful candidate will be sponsored with competitive salary
according to German TVoD E13 (75%). English is the working language.
Details about the institute and the department can be found at
https://www.mpi-magdeburg.mpg.de/csc

Applications should include a cover letter, CV, Diploma and transcript
of records, two reference letters with contact details. Please send
your application (and any inquiries) via e-mail (subject:
PhD2019_fullname) to [email protected]

Deadline: September 30, 2019
Contact: Lihong Feng, E-Mail: [email protected], Phone: +49
(0) 391 6110 379



From: Carola Kruse [email protected]
Date: June 28, 2019
Subject: PhD Position, Parallel Algorithms, Cerfacs, France


A PhD position is available at Cerfacs (Toulouse, France) within the
Parallel Algorithm team led by Prof Ulrich Rude. The research will
focus on fast and robust solvers for matrices arising in the
discretization of partial differential equations governing subsurface
flows in porous media. The work will be done in an industrial
partnership with EDF R&D, the research division of the French electric
utility company EDF.

We are looking for a candidate with a Master (or equivalent) in the
fields of computational fluid dynamics or applied mathematics and who
should have interest in numerical algorithms, iterative solvers and
high performance computing.

Further information is available at
https://cerfacs.fr/en/offer/phd-position-fast-and-robust-solvers-for-non-symmetric-
systems-arising-in-the-discretizations-of-underground-flows/


From: Michele Benzi [email protected]
Date: June 20, 2019
Subject: PhD Positions, Scuola Normale Superiore, Pisa, Italy


Ten PhD Fellowships are available for students interested in pursuing
a PhD degree in Computational Methods and Mathematical Modeling for
the Sciences and Finance. Areas of specialization include Numerical
Analysis and Scientific Computing, Mathematical Models for the
Sciences and Finance, Computational Physics/Chemistry/Biology, and
Operations Research.

A description of the new PhD program can be found at
https://www.sns.it/en/computational-methods-and-mathematical-models-for-sciences-
and-finance

For instructions on how to apply and deadlines, please see
https://www.sns.it/en/admissions/phd/how-to-apply-for-the-post-graduate-course


From: Jan Holland [email protected]
Date: June 21, 2019
Subject: New Journal, SN Partial Differential Equations and Applications


SpringerNature has just launched "SN Partial Differential Equations
and Applications", a new journal which aims at becoming a preeminent
single platform for all PDE-based research, bridging the areas of
Mathematical Analysis, Computational Mathematics and applications of
Mathematics in the Sciences.

The goal of the journal is to foster and enhance the transfer of
knowledge between these different PDE-communities, raising the
synergies and establishing new connections between them.

More information, including the journal's editorial board and guidance
on how to submit, can be found at: https://www.springer.com/42985

The journal section on Computational Mathematics, led by Sid Mishra,
looks forward to your submissions!


From: Fikret Aliev [email protected]
Date: June 24, 2019
Subject: Contents, Applied and Computational Mathematics, 18 (2)


Applied and Computational Mathematics an International Journal
Vol.18, No.2, June 2019
www.acmij.az

CONTENTS

A New Bivariate Spectral Collocation Method with Quadratic Convergence
For Systems of Nonlinear Coupled Differential Equations,
V.M. Magagula, S.S. Motsa, P. Sibanda

Numerical Stability of RBF Approximation for Unsteady MHD Flow
Equations, M. Gurbuz, M. Tezer-Sezgin

Numerical Simulation of Jeffery-Hamel Flow of Bingham Plastic Fluid
and Heat Transfer in the Presence of Magnetic Field, A. Ara,
N.A. Khan, F. Sultan, S. Ullah

The Equivalence Between the Enriched and Extended Soft Topologies,
T.M. Al-shami, L.D.R. Kocinac

Multiple Criteria Decision Making Based on Frank Choquet Heronian Mean
Operator for Single-Valued Neutrosophic Sets, H. Garg, Nancy

On Partial and Complete Blocking Set of States in Queueing-Inventory
Model, D. Shajin, A. Krishnamoorthy, A.Z. Melikov

Conflict Resolution towards an Integrated Project Scheduling and
Material Ordering System in a Large-Scale Construction Project,
C. Feng, T. Ni, Z. Li, J. Cai, Y. Ma

Book Review: Some Algorithms for Unmanned Aerial Vehicles Navigation -
V.B. Larin, A.A. Tunik, S.I. Ilnytska, Reviewed by H. Ozbay, F. Aliev,
T. Basar



From: Yonghui Yu [email protected]
Date: June 27, 2019
Subject: Contents, Computational Mathematics, 37 (4)


Journal of Computational Mathematics, Volume 37 (2019), Issue 4
http://www.global-sci.org/intro/articles_list/jcm/1503.html

CONTENTS

Unconditional Superconvergence Analysis of an H1-Galerkin Mixed Finite
Element Method for Two-dimensional Ginzburg-Landau Equation, Dongyang
Shi and Junjun Wang

Interior Estimates of Semidiscrete Finite Element Methods for
Parabolic Problems with Distributional Data, Li Guo, Hengguang Li and
Yang Yang

The Structure-preserving Methods for the Degasperis-Procesi Equation,
Yuze Zhang, Yushun Wang and Yanhong Yang

Superconvergence Analysis for Timefractional Diffusion Equations with
Nonconforming Mixed Finite Element Method, Houchao Zhang and Dongyang
Shi

Numerical Analysis of Elliptic Hemivariational Inequalities for
Semipermeable Media, Weimin Han, Ziping Huang, Cheng Wang and Wei Xu

A Discontinuous Galerkin Method by Patch Reconstruction for Biharmonic
Problem, Ruo Li, Pingbing Ming, Zhiyuan Sun, Fanyi Yang and Zhijian
Yang

A Fourth-order Compact and Conservative Difference Scheme for the
Generalized Rosenau-Korteweg de Vries Equation in two Dimensions, Jue
Wang and Qingnan Zeng

A Decoupling Two-grid Method for the Steady-state Poisson-Nernst-
Planck Equations, Ying Yang, Benzhuo Lu and Yan Xie



From: Claude Brezinski [email protected]
Date: June 17, 2019
Subject: Contents, Numerical Algorithms, 81 (3)


Table of Contents
Numerical Algorithms, Vol. 81, No. 3

IR Tools: a MATLAB package of iterative regularization methods and
large-scale test problems, Silvia Gazzola, Per Christian Hansen, James
G. Nagy

A shrinking projection method for solving the split common null point
problem in Banach spaces, Truong Minh Tuyen, Nguyen Song Ha, Nguyen
Thi Thu Thuy

Generalized Tikhonov-type regularization method for the Cauchy problem
of a semi-linear elliptic equation, Hongwu Zhang, Xiaoju Zhang

New semi-implicit midpoint rule for zero of monotone mappings in
Banach spaces, Yan Tang, Zhiqing Bao

Numerical solution of a miscible displacement problem with dispersion
term using a two-grid mixed finite element approach, Hanzhang Hu,
Yiping Fu, Jie Zhou

Bilevel optimization with a multiobjective problem in the lower level,
Roberto Andreani, Viviana A. Ramirez, Sandra A. Santos, Leonardo D.
Secchin

Stability analysis of a family of optimal fourth-order methods for
multiple roots, Fiza Zafar, Alicia Cordero, Juan R. Torregrosa

Self-adaptive gradient projection algorithms for variational
inequalities involving non-Lipschitz continuous operators, Pham Ky
Anh, Nguyen The Vinh

Second-order difference approximations for Volterra equations with the
completely monotonic kernels, Da Xu

New five-step DTZD algorithm for future nonlinear minimization with
quartic steady-state error pattern, Binbin Qiu, Yunong Zhang, Jinjin
Guo, Zhi Yang, Xiaodong Li

Linesearch methods for bilevel split pseudomonotone variational
inequality problems, Tran Viet Anh

Uniform approximation on the sphere by least squares polynomials,
Woula Themistoclakis, Marc Van Barel

Two non-parameter iterative algorithms for identifying strong
H-tensors, Yangyang Xu, Ruijuan Zhao, Bing Zheng

Approximating fixed points of generalized a-nonexpansive mappings in
Banach spaces by new faster iteration process, H. Piri, B. Daraby,
S. Rahrovi, M. Ghasemi

On the problem of starting points for iterative methods, Stefan
Maruster, Laura Maruster

A new combined characteristic mixed finite element method for
compressible miscible displacement problem, Jiansong Zhang




From: Fikret Aliev [email protected]
Date: June 24, 2019
Subject: Contents, Proc Institute of Applied Mathematics, 8 (1)


F.A. Aliev, N.A. Aliev, M.M. Mutallimov, A.A. Namazov,Identification
method for defining the order of the fractional derivative oscillatory
system

T.S. Gadjev, S.Y. Aliev, M.N. Kerimova, The strong solvability
boundary value problem for linear non-divergent degenerate equations
of elliptic-parabolic type

Shamsur Rahman, Mohd Sadiq Khan, and Aboo Horaira, Cr- submanifolds of
a nearly trans-hyperbolic sasakian manifold with a quarter symmetric
metric connection

N.A. Aliyev, T.S. Mamieva, Research of solution of problems for
nonlinear difference two-different second-order equation

I. Sh Jabbarov, G. K. Hasanov, L. G. Ismailova, Estimation for the
area of the surface by using of singular numbers of functional matrix
containing partial derivatives of high order

S.T. Huseynov, R.M. Taghiev, Harnack inequality for -Laplacian

P.Thirupathi Reddy , B. Venkateswarlu, S. Sreelakshmi, Subclass of
meromorphically univalent functions

E.M. Farhadzadeh, Yu.Z. Farzaliyev, About expediency of classification
of multidimensional data

O.Z. Namazov, R.M. Tagiyev, G.S. Alieva, Construction of the sweep
algorithm by the relaxation method for solving gaslift problem

A.A. Namazov, Defining the coefficient of hydraulic resistance by
means of the Rosser model in gas lift process

End of Digest
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