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NA Digest, V. 20, # 8

NA Digest Wednesday, February 26, 2020 Volume 20 : Issue 8


Today's Editor:

Daniel M. Dunlavy
Sandia National Labs
dmdunla@sandia.gov

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From: Daisuke Takahashi daisuke@cs.tsukuba.ac.jp
Date: February 19, 2020
Subject: Yasumasa Kanada, 1949-2020


It is with deep sadness that I report the passing of Prof. Yasumasa
Kanada on February 11, 2020, at the age of 70. Born on May 23, 1949,
in Hyogo, Japan, graduated from the Department of Physics, Tohoku
University in 1973, got a doctoral degree on the topic of algorithms
for symbolic formula manipulation from the University of Tokyo in
1978. After working for three years at Nagoya University,
Prof. Kanada moved to the University of Tokyo in 1981. He worked at
the University of Tokyo until 2015.

His world-known achievement is his numerous world records over the
past three decades for calculating digits of pi. One of his papers for
calculating digits of pi can be seen in

Yasumasa Kanada, "Vectorization of multiple-precision arithmetic
program and 201,326,000 decimal digits of pi calculation", Proc.
Supercomputing 88: Vol II, Science and Applications, pp. 117-128
(1988). DOI: 10.1109/SUPERC.1988.74139

In 2002, Prof. Kanada held the world record calculating pi to 1.2411
trillion decimal digits using a HITACHI SR8000/MPP supercomputer.

For a long time Prof, Kanada was engaged with the Information
Technology Center of the University of Tokyo, where he advised many
students and researchers. He contributed much to developments of
computer sciences in Japan, and at the same time, greatly served the
international community of computer scientists.

Prof. Kanada is survived by his wife Harumi.

We missed a respected computer scientist.


From: Alexander Brune acb795@bham.ac.uk
Date: February 26, 2020
Subject: British Early Career Mathematicians’ Colloquium, UK, Apr 2020


Call for abstract submissions to the British Early Career

Mathematicians' Colloquium (BECMC) 2020, which will be held at the
University of Birmingham on 1st-2nd April 2020. For more information,
please visit http://web.mat.bham.ac.uk/BYMC/BECMC20/.

The deadline for registration is 15th March 2020. The deadline for
submission of abstracts is 8th March 2020.

For any questions or concerns, please email the organising committee
on becmc2020@contacts.bham.ac.uk.


From: Iain Duff duff@cerfacs.fr
Date: February 25, 2020
Subject: Sparse Days at CERFACS, France, Jun 2020


The Annual Sparse Days meeting will be held at CERFACS in Toulouse on
11 and 12 June 2020.

As usual, there is no registration fee but interested parties should
nevertheless register using the website
https://sparsedays.cerfacs.fr/en. The deadline for doing this is 10
May 2020, but it well help our organization greatly if you could do
this as soon as possible. When you register, you should indicate
whether you want to give a talk and whether you want to attend our
traditional conference dinner on the evening of Thursday 11th.

The normal length for the talk and questions is 30 minutes but this is
open to negotiation in either direction subject to the fact that as
usual we will not be having parallel sessions.


From: Marta D'Elia mdelia@sandia.gov
Date: February 19, 2020
Subject: RAMSES, Italy, Jul 2020


Abstract submission and registration for RAMSES are now open!

Abstract submission for students and postdocs: Students and postdocs
who would like to participate as poster presenters are encouraged to
submit a proposed title and abstract. We also ask to list the name of
their advisor/s and attach a short CV, including publications. Please
fill out the submission form (title, presentation type, authors
information, presenter) and upload your abstract (.tex, .bib, and
other related files) using the official template provided at
https://indico.sissa.it/event/43/abstracts/

Please note that the submitting author is required to be a user
registered on the INDICO@SISSA platform (if you are already a
registered user, please login with your credentials).

The poster session will be preceded by a poster blitz consisting of 2
minute presentations; the purpose of these very short talks is to get
the other attendees interested so that they later on seek out the
poster for additional details. Note that the number of posters is
limited to 30.

Deadline: April 20, 2020. Notification of acceptance: within a month.

Registration: All participants are required to register at:

https://indico.sissa.it/event/43/registrations/30/ Students, whose

abstract has been accepted, should also indicate whether they need
financial support.


From: Fabio Nobile fabio.nobile@epfl.ch
Date: February 21, 2020
Subject: Numerical methods for forward and inverse UQ, Italy, Sep 2020


We are happy to announce the Fondazione CIME Summer School on
"Numerical methods for forward and inverse Uncertainty
Quantification", which will be held in Cetraro, Italy from August 31
to September 4, 2020 and is organized by Profs. Fabio Nobile, Andrew
Stuart and Raul Tempone.

The school includes the following 4 courses:
- A. Cohen (Sorbonne University): High dimensional approximation of
parametric and stochastic PDEs
- F. Nobile (EPFL), R. Tempone (RWTH Aachen & KAUST): Hierarchical
sampling methods for Uncertainty Quantification
- H. Rauhut (RWTH Aachen): Compressive sensing for parametric and
stochastic PDEs
- A. Stuart (Caltech): Inverse Problems and Applications

More details available on the CIME webpage

http://web.math.unifi.it/users/cime/

Online application is open. Please note that the number of
participants is limited.


From: Personnel Office recruit@hkbu.edu.hk
Date: February 25, 2020
Subject: Professor/Assoc/Asst Positons, Hong Kong Baptist Univ


FACULTY OF SCIENCE, Department of Mathematics

Professor / Associate Professor / Assistant Professor (PR0206/19-20)

The Department invites applications for a tenure-track faculty
position at the Professor/Associate Professor/Assistant Professor rank
specializing in applied/computational mathematics, statistics, data
science, or an area which complements the Department's research
profile.

Applicants should possess a relevant PhD degree and a record of strong
research. Teaching experience is preferred. They are expected to be
energetic and motivated, and actively participate in current research
and teaching programmes of the Department. Those with substantial
teaching experience and a good record of scholarly achievements will
be considered for appointment at the rank of Associate
Professor/Professor. Initial appointment will be offered on a
fixed-term contract up to three years. Re-appointment thereafter will
be subject to mutual agreement. Those who have responded to the
advertisement posted in November 2019 need not re-apply. Salary will
be commensurate with qualifications and experience.

Application Procedure: Applicants are invited to submit their
applications at the HKBU e-Recruitment System (jobs.hkbu.edu.hk) with
samples of publications, preferably three best ones out of their most
recent publications/works. Applicants should also request two referees
to send in confidential letters of reference, with PR number (stated
above) quoted on the letters, to the Personnel Office (Email:
recruit@hkbu.edu.hk) direct. Those not invited for interview four
months after the closing date may consider their applications
unsuccessful. All application materials including publication samples,
scholarly/creative works will be disposed of after completion of the
recruitment exercise. Details of the University's Personal Information
Collection Statement can be found at http://pers.hkbu.edu.hk/pics.

The University reserves the right not to make an appointment for the
post advertised, and the appointment will be made according to the
terms and conditions then applicable at the time of offer.

Closing date: 28 March 2020 or until the position is filled


From: MONTAZ ALI montaz.ali@wits.ac.za
Date: February 21, 2020
Subject: Senior Lecturer/Assoc Professor Position, NA, Optimization, Optimal Control


UNIVERSITY OF THE WITWATERSRAND, JOHANNESBURG, FACULTY OF SCIENCE

School of Computer Science and Applied Mathematics

SENIOR LECTURER/ASSOCIATE PROFESSOR (NUMERICAL A ANALYSIS AND
OPTIMIZATION/OPTIMAL CONTROL) Description: The School of Computer
Science and Applied Mathematics undertakes high-quality research in a
wide variety of areas and is home to several NRF rated scientists. In
the domain of Applied Mathematics the School's main research areas
include sy symmetry methods of differential equations, mathematical
modelling, co control theory, optimization, numerical analysis and
fluid mechanics. Fu Furthermore, research areas are in mathematics of
finance, which in include but not limited to portfolio optimization,
risk management, risk me measurement, stochastic processes in finance
and interested rate mo modelling. We seek applicants with research and
teaching experience in in the area of numerical analysis or
computational techniques.

Qualifications: For senior lecturer: Applicants must hold a doctorate
in numerical analysis teaching experience at a tertiary institution,
particularly numerical analysis and Optimization/Optimal Control. The
following factors will be taken into account, (i) evidence of
potential research and supe supervision of postgraduate students, (ii)
teaching experience, and (iii) acad academic citizenship.

For Associate Professor: Applicants must hold a doctorate in numerical
an analysis and have a minimum of five years teaching experience at a
te tertiary institution, particularly numerical analysis and Op
Optimization/Optimal Control. The incumbent research interest and di
directions beyond PhD studies must be in the area of numerical an
analysis and optimization/optimal control. Furthermore, the incumbent
mu must have a sustained research record and publications in
recognised jo journal and or scholarly books. Further, evidence of
postgraduate su supervision is a necessary. The South African
National Research Fo Foundation rating is advantageous (if available).

Duties: The successful applicant will be expected to teach numerical
analysis, optimization and optimal control at undergraduate and
postgraduate levels, supervise and/or co-supervise postgraduate s
students, participate in academic administration and develop a p
productive research programme. Applications: Submit a covering letter
accompanied by a detailed updated curriculum vitae, NRF rating (if
available), description of research interests, a teaching portfolio,
certified copies of all educational qualifications and identity
document, and names and e-mail addresses of three referees. To apply:
External applicants are invited to apply by registering their profile
on the Wits i-Recruitment platform located at https://irec.wits.ac.za
and submitting applications. Internal employees are invited to apply
directly on Oracle by following the path: iWits /Self Service
application/'Apply for a job'. Correspondence will be entered into
with short-listed candidates only. Short-listed applicants must be
available for a personal or te telephonic/Skype interview, and the
presentation of a short seminar on th the proposed line of research
may be required. Closing date: 30 April 2019


From: Job Offer recruitment@bcamath.org
Date: February 26, 2020
Subject: Research Fellow Position, BCAM


In the framework of BCAM's Knowledge Transfer Unit (KTU), the KTU
Fellowship aims to transfer scientific knowledge and expertise between
BCAM and Industry with the particular interest in building
collaborative research with Bizkaia's industrial sector and SMEs. The
successful candidate will be expected to lead industrial projects that
would improve company business' competitiveness and productivity
through knowledge transfer and mathematical technologies and also
achieve scientific outcomes (publications, supervision of Industrial
MSc or PhD theses).

Requirements: Experienced researchers with an academic background and
expertise in industrial applications and knowledge transfer with
companies. Applicants must have their PhD completed before 2018.
Demonstrated experience in industrial projects (e.g.: industrial PhD
or postdoctoral experience in an industrial sector or R+D+I experience
in Industry).

Skills and track-record: Good interpersonal and problem-solving
skills. Managerial and leadership skills. Demonstrated experience in
project management, including planning a reporting. A proven track
record in quality research, as evidenced by research publications in
top scientific journals and conferences. Demonstrated ability to work
independently and as part of a collaborative research team. Ability
to present and publish research outcomes in spoken (talks) and written
(papers and reports) form. Ability to effectively communicate and
present research ideas to researchers and stakeholders with different
backgrounds. Fluency in spoken and written English and Spanish
(desired).

Scientific Profile: The preferred candidate will have: Strong
background in Mathematics, Statistics, Physics, Computer Science and
Engineering. Demonstrated knowledge in Data Analysis, Statistical
Modelling, Optimization algorithms and Machine Learning techniques.
Good programming skills in programming languages (e.g. R, Python,
and/or MATLAB) and computing platforms (e.g. HPC, Cloud computing, Big
Data infrastructures and Open Source tools).


From: Mingchao Cai Mingchao.Cai@morgan.edu
Date: February 25, 2020
Subject: Postdoc Position, Computational Math and PDE Analysis, Morgan Sate Univ


A postdoctoral position in the area of scientific computation,
numerical analysis, and PDE analysis is available in the research
group of Professor Mingchao Cai in the Department of Mathematics at
Morgan State University. The position involves Finite element methods
and numerical analysis for problems arising from fluid mechanics and
structure mechanics. Candidates should have a Ph.D degree in
Computational Mathematics or in Engineering with background in Finite
Element methods, high performance computing, fluid mechanics, and/or
structure mechanics. Candidates who has strong background on PDE
analysis (for example, asymptotic analysis, homogenization, analysis
of fluid mechanical problems) are also very welcome. The candidate
will also be required to teach one math course per semester. The
benefit include regular salary (very competitive) plus insurance for
your whole family members ($1,000/m charged by Morgan State
University). The regular salary part is negotiable based on the
expertise of the candidates. Postdoctoral appointments are full-time
training programs of advanced academic preparation and research
training under the mentorship of a faculty member.

Basic Qualifications: PhD Degree in Mathematics, Scientific Computing,
Numerical Analysis, PDE analysis, Computational Mechanical Engineering
or a related discipline at the time of application. 1-2 years research
experience or training related to mathematics and scientific
computation. Preferred Qualifications: Prior experience would be
viewed especially favorably in the areas of large-scale scientific
computation, numerical analysis, CFD and elasticity, and/or mechanical
engineering, but are not strictly required. The individual would like
to interact with the faculty members and the students in the
department.

The initial appointment will be for two (2) year appointment, although
the contract is going to be initialized as 1 year. Please send email
to Dr. Mingchao Cai: Mingchao.Cai@morgan.edu directly then apply to
the HR website by April 20, 2020 for primary consideration. Position
will remain open until filled.

Anticipated start date is Aug. 1/Sept. 1, 2020. Curriculum vitae,
cover letter, statement of research and 2 letters of reference are
required for a complete application.

The Department is especially interested in candidates who can
contribute to the diversity and excellence of the academic community
through research, teaching and service. Morgan State University is an
Equal Opportunity/Affirmative Action Employer and all qualified
applicants will receive consideration for employment without regard to
race, color, religion, sex, sexual orientation, gender identity,
national origin, disability status, protected veteran status, or any
other characteristic protected by law. This employer is not accepting
applications for this position through Mathjobs.Org. Please send email
and then apply in the website of the HR in Morgan State University.


From: Axel Målqvist axel@chalmers.se
Date: February 24, 2020
Subject: Postdoc Position, Computational Math, Chalmers/Univ of Gothenburg


The department of mathematics at Chalmers University of Technology and
University of Gothenburg offers a two year Postdoc position in
computational mathematics. The focus will be on development and
analysis of numerical methods for multiscale and multiphysics
problems. The Postdoc will work in the research group of Professor
Axel Malqvist.

Applicants must have a PhD in mathematics, computational mathematics,
scientific computing or a closely related field. A strong background
in num numerical methods for partial differential equations is
important.

More information about the position and the application procedure can
be found at:

https://www.gu.se/english/about_the_university/job-opportunities/vacancies-details/?id=5618

The deadline for the applications is the 26th of March.


From: Irving Institute for Cancer Dynamics cancerdynamics@columbia.edu
Date: February 24, 2020
Subject: Postdoc Position, Irving Institute for Cancer Dynamics, Columbia Univ


Postdoc opening for the Irving Institute for Cancer Dynamics

Postdoctoral Program

As part of the Irving Institute for Cancer Dynamics Postdoctoral
Program, we seek up to two postdoctoral research scientists who are
recent Ph.D. graduates and who are interested in developing
independent and novel research in an environment that fosters
multi-disciplinary, collaborative research. While these positions
might suit a researcher with some post- doctoral experience, we also
encourage applications from recent PhD graduates. Candidates will be
mentored by at least two faculty members, at least one of whom should
be based on the Morningside Heights campus of Columbia University, to
be identified through interaction with the candidate. For more
information and to apply: http://pa334.peopleadmin.com/postings/5095

Deadline: March 15, 2020

For further information, please write to: cancerdynamics@columbia.edu


From: Masson Roland roland.masson@univ-cotedazur.fr
Date: February 23, 2020
Subject: Postdoc Position, Scientific Computing, Univ Cote d’Azur, Nice


A 16 months postdoc position is available in the department of
Mathematics J..A. Dieudonne and Inria team Coffee at the University
Cote d'Azur, Nice France. The project is part of the European EURAD
project. Its objective is to develop a reduced model coupling a 3D
liquid gas Darcy flow and a 1D free gas flow. The discretization will
be non-matching at the interface between both Darcy and free flow
subdomains and the solution algorithm will be based on a nonlinear
Robin Robin domain decomposition algorithm. The discretization and
domain decomposition algorithm will be implemented in the open source
parallel code ComPASS http://www.anr- charms.org/page/compass-code.

For more information, see

https://math.unice.fr/~massonr/PostdoctoralPosition-coupling-porous-free-flows.pdf

Application deadline: december 2020.


From: Naoki Saito saito@math.ucdavis.edu
Date: February 24, 2020
Subject: Postdoc Position, Statistics, Univ of California, Davis


University of California, Davis Department of Statistics

Postdoctoral Position in Data Science at UC Davis

The Department of Statistics at the University of California, Davis,
and the UC Davis TETRAPODS Institute of Data Science (UCD4IDS) funded
by the NSF HDR-TRIPODS grant, are soliciting applications for a
UCD4IDS postdoctoral employee position starting July 1, 2020.

The Department and the Institute seek applicants who demonstrate
promise and the capability of developing cutting edge computational,
mathematical, and/or statistical methodology pertaining to modern
areas of data science that involve large and complex data, as well as
effective teaching skills. In particular, those candidates whose
research interests are in the following three broad themes of the
Institute are strongly encouraged to apply: 1) Fundamentals of machine
learning directed toward biological and medical applications; 2)
Optimization theory and algorithms for machine learning including
numerical solvers for large-scale nontrivial learning problems; and 3)
High-dimensional data analysis on graphs and networks.

Applicants are required to have completed their Ph.D. by the time of
their appointment, but no earlier than July 1, 2017. The appointment
may include teaching up to three courses per academic year, which will
be negotiable. The appointment will be for up to two years, renewable
after the first year upon demonstration of satisfactory performance in
research and teaching (if applicable).

The position will remain open until filled, but to assure full
consideration please submit a cover letter, Statement of Research,
Statement of Teaching, Statement of Contribution to Diversity,
curriculum vitae, 2-4 letters of reference, and transcripts (if PhD
obtained during 2017 or later) by March 13, 2020. Applications are
submitted online through UC Recruit at
https://recruit.ucdavis.edu/analyst/recruitments/JPF03387/. The
University of California is an Equal Opportunity/Affirmative Action
Employer. All qualified applicants will receive consideration for
employment without regard to race, color, religion, sex, national
origin, disability, age or protected veteran status. Department of
Statistics, University of California, Davis

(https://statistics.ucdavis.edu/)


From: Bernard Haasdonk haasdonk@mathematik.uni-stuttgart.de
Date: February 21, 2020
Subject: PhD/Postdoc Positions, MOR/ML, Univ of Stuttgart, Germany


I want to announce several PhD/Postdoc position openings in my group
at the University of Stuttgart. All positions are related to
surrogate modelling with model reduction or machine learning
techniques. The positions are to be filled as soon as possible. The
call for applications can be found at

www.haasdonk.de/data/announcement2020.pdf

The application deadline is March 29, 2020. Please forward this
message to potential candidates.


From: Carlo de Falco carlo.defalco@polimi.it
Date: February 19, 2020
Subject: PhD Position, Numerics and HPC for Molecular Electrostatics, IIT and MOX


One PhD Position on the topic "Numerical Methods and HPC Thechniques
for Molecular Electrostatics"

Is available at IIT Genova and MOX -Politecnico di Milano.

The PhD program envisions a period of training of one year at maximum
to be spent at the Polytechnic of Milan and the remaining period of at
least two years at the IIT in Genoa.

An internship period in an external foreign Lab can also be
envisioned.

The selection will be based on the CV and the suggested Research
Project, related to the topic of the call.

Please visit https://concept.iit.it/phd for more information

Informal inquiries are welcome and should be sent to:
walter.rocchia@iit.it
or
carlo.defalco@polimi.it

Deadline is March 6th, 2020 at 2pm (Rome time zone)


From: Davide La Torre davide.latorre@skema.edu
Date: February 17, 2020
Subject: Special Issue, Optimization Methods in Inverse Problems


This special issue aims at bringing together articles that discuss
recent advances of optimization methods and algorithms in inverse
problems and application to science and engineering. A typical
inverse problem seeks to find a mathematical model that admits given
observational data as an approximate solution. This sort of question
is of great interest in many application areas, including biomedical
engineering and imaging, remote sensing and seismic imaging,
astronomy, oceanography, atmospheric sciences and meteorology,
chemical engineering and material sciences, computer vision and image
processing, ecology, economics, environmental systems, physical
systems. Very often an inverse problem appears in the form of a
parameter estimation problem, it can be formulated as an optimization
model, and then solved using different optimization algorithms and
techniques. All papers included in this special issue will consider
aspects of numerical analysis, mathematical modeling, and
computational methods. Potential topics include but are not limited to
the following:

Inverse Problems Algorithms

Inverse Problems for Ordinary and Differential Equations

Inverse Problems using Nonsmooth Optimization

Inverse Problems using Multicriteria Optimization

Fractal-based Inverse Problems

Shape Optimization

Inverse Optimization

Inverse Problems in Image Analysis

Regularization Techniques

https://www.opte-journal.com/index.php?page=sis


From: Fikret Aliev chief_ed@acmij.az
Date: February 18, 2020
Subject: Contents, Applied and Computational Mathematics, 19 (1)


Applied and Computational Mathematics an International Journal

Vol.19, No.1, February 2020

www.acmij.az

CONTENTS

The numerical solution of nonlinear weakly singular Fredholm integral
equations based on the dual-Chebyshev wavelets, Pouria Assari, Mehdi
Dehghan

Perturbation bounds for the matrix equation X + A*X-1A = Q, Vejdi
I. Hasanov

Comparison of fuzzy numbers using left/right sides of level sets,
S. Peker, R. Shikhlinskaya, E. Nasibov

Fractional power series solutions of fractional differential equations
by using generalized Taylor series, Zaid Odibat

The new classes of high order implicit six-step P-stable
multiderivative methods for the numerical solution of Schrodinger
equation, Mohammad Mehdizadeh Khalsaraei, Ali Shokri

Control of accuracy of Taylor-collocation method to solve the weakly
regular Volterra integral equations of the first kind by using the
CESTAC method, S. Noeiaghdam, D. Sidorov, V. Sizikov, N. Sidorov

Dual spaces and wavelet characterizations of anisotropic Musielak-
Orlicz Hardy spaces, Jun Liu, Dorothee D. Haroske, Dachun Yang, Wen
Yuan

On the natural oscillation of an inhomogeneously pre-stressed
multilayered hollow sphere filled with a compressible fluid,
Y.M. Sevdimaliyev, S.D. Akbarov, H.H. Guliyev, N. Yahnioglu


From: Yonghui Yu yyu@lsec.cc.ac.cn
Date: February 17, 2020
Subject: Contents, Journal of Computational Mathematics, 38 (1)


Journal of Computational Mathematics, Volume 38 (2020), Issue 1

http://www.global-sci.org/intro/articles_list/jcm/1592.html

CONTENTS

A Robust Discretization of the Reissner-Mindlin Plat with Arbitrary
Polynomial Degree, Dietmar Gallistl and Mira Schedensack

Variational Discretization of a Control-constrained Parabolic Bang-
bang Optimal Control Problem, Nikolaus von Daniels and Michael Hinze

Computational Multiscale Methods for Linear Heterogeneous
Poroelasticity, Robert Altmann, Eric Chung, Roland Maier, Daniel
Peterseim and Sai- Mang Pun

An Efficient Ader Discontinuous Galerkin Scheme for Directly Solving
Hamilton-Jacobi Equation, Junming Duan and Huazhong Tang

Recovery Based Finite Element Method for Biharmonic Equation in 2D,
Yunqing Huang, Huayi Wei, Wei Yang, and Nianyu Yi

The Quadratic Specht Triangle, Hongliang Li, Pingbing Ming and Zhongci
Shi

Local Pressure Correction for the Stokes System, Malte Braack and Utku
Kaya

How to Prove the Discrete Reliability for Nonconforming Finite Element
Methods, Carsten Carstensen and Sophie Puttkammer

Numerical Approximation of the Smoluchowski Equation Using Radial
Basis Functions, Christiane Helzel and Maximilian Schneiders

An Error Analysis Method SPP-BEAM and a Construction Guideline of
Nonconforming Finite Elements for Fourth Order Elliptic Problems, Jun
Hu and Shangyou Zhang

Superconvergence Analysis of the Polynomial Preserving Recovery for
Elliptic Problems with Robin Boundary Conditions, Yu Du, Haijun Wu and
Zhimin Zhang



End of Digest
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