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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

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:


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


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


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


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


School of Computer Science and Applied Mathematics


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


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


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


More information about the position and the application procedure can

be found at:



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


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


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


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


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:




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


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



The numerical solution of nonlinear weakly singular Fredholm integral

equations based on the dual-Chebyshev wavelets, Pouria Assari, Mehdi


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


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



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


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


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