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NA Digest, V. 20, # 27

NA Digest Sunday, July 19, 2020 Volume 20 : Issue 27


Today's Editor:

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

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

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


From: Robert van de Geijn rvdg@cs.utexas.edu
Date: July 17, 2020
Subject: Graduate numerical linear algebra: are your students ready?


When teaching a graduate numerical linear algebra course, we often
discover that some students are a bit rusty in undergraduate linear
algebra. To help students self-assess their knowledge and skills, we
have created a pretest we intend to use for our "Advanced Linear
Algebra for Computing" course that is part of UT-Austin's Masters in
Computer Science Online program and our "Advanced Linear Algebra:
Foundations to Frontiers" (ALAFF) Massive Open Online Course offered
on edX. By encouraging future students to take this test well before
the semester starts, we hope to give them time to get ready.

Having created this resource, which provides full solutions, context,
and pointers to review materials, it occurred to us that others may
find use for it as well. It can be accessed at
http://www.cs.utexas.edu/users/flame/laff/alaff/ALAFF-pretest.html.

Please forward this message to those who teach NLA at your
institution. We welcome feedback.


From: Toby Driscoll driscoll@udel.edu
Date: July 15, 2020
Subject: Julia version of numerical comp text available online


I have converted the first half of my textbook with Rich Braun, called
Fundamentals of Numerical Computation, to an online format and ported
it to be entirely in Julia. This version of the text, which will not
change except for typos and important fixes, will remain available at

https://fncbook.github.io/v1.0

(The latest version is found at https://fncbook.github.io/fnc/. That
is not the best URL to distribute to a class, however, as there may be
changes at any time.)

We are interested in comments and suggestions. The best way to make
those is to file an issue at https://github.com/fncbook/fnc/issues,
but email to driscoll@udel.edu is fine.


From: Martin Schmidt martin.schmidt@uni-trier.de
Date: July 14, 2020
Subject: Autumn School, Bilevel Optimization, ONLINE, Oct 2020


Bilevel optimization problems have attracted considerable attention
over the last decades since their structure allows the modeling of a
large number of real-life problems involving two types of decision
makers, a leader and a follower, interacting sequentially in a
hierarchical setting. This rather young and highly active field at the
interfaces between mathematical optimization, computer science, and
operations research has grown a lot in the last years. The studied
problems are constrained optimization problems in which some
constraints specify that a subset of variables constitutes an optimal
solution of another (nested) optimization problem. Bilevel problems
constitute a class of very difficult problems because they are
inherently nonconvex and nondifferentiable. They are already NP-hard
even if both levels are linear problems.

In the ALOP (https://alop.uni-trier.de) autumn school on bilevel
optimization we will have introductory talks on the topics of linear
as well as mixed- integer linear bilevel problems and on the relation
between bilevel optimization, MPECs, and variational inequalities. The
confirmed speakers are Martine Labbe (Universite Libre de Bruxelles),
Ivana Ljubic (ESSEC Business School of Paris), and Didier Aussel
(Universite de Perpignan).

Due to the current circumstances, the autumn school will take place
online via Zoom meetings. Registration and participation is free of
charge and we will provide certificates of participation. The
registration deadline is September 28, 2020.

We also plan to have an elevator pitch session, where all participants
can present their current research in short talks of 3 minutes.

All relevant information and updates can be found at
https://alop.uni-trier.de/event/autumn-school-on-bilevel-optimization.


From: Stefan Wild wild@anl.gov
Date: July 19, 2020
Subject: Staff Position, Numerical PDEs and Scientific Computing, Argonne


The Laboratory for Applied Mathematics, Numerical Software, and
Statistics (LANS) in the Mathematics and Computer Science Division at
Argonne National Laboratory is seeking a research staff member in the
area of partial differential equations (PDEs), numerical software, and
scientific computing. We value and strive for diversity in
backgrounds, experiences, and perspectives.

The staff member will lead a basic research program and build
computational tools and methods for the solution of computational
science problems on distributed/scalable parallel computers. The staff
member will work with science and engineering application codes as
well as math libraries such as PETSc.

The appointment level will be commensurate with experience; US
citizenship is not required.

Senior applicants: https://bit.ly/2Otr7De
Earlier-career applicants: https://bit.ly/2B1Rxch

As an equal employment opportunity and affirmative action employer,
Argonne National Laboratory is committed to a diverse and inclusive
workplace that fosters collaborative scientific discovery and
innovation. In support of this commitment, Argonne encourages
minorities, women, veterans and individuals with disabilities to apply
for employment. Argonne considers all qualified applicants for
employment without regard to age, ancestry, citizenship status, color,
disability, gender, gender identity, genetic information, marital
status, national origin, pregnancy, race, religion, sexual
orientation, veteran status or any other characteristic protected by law.



From: David Chappell david.chappell@ntu.ac.uk
Date: July 18, 2020
Subject: Associate Professor Position, Stat Appl Maths/Data Science, UK


The Department of Physics and Mathematics within NTU's School of
Science and Technology invites applications for an Associate Professor
in Statistical Applied Mathematics or Data Science.

Visit the link below for more details or to submit an online application:
https://vacancies.ntu.ac.uk/displayjob.aspx?jobid=7707


From: MONTAZ ALI montaz.ali@wits.ac.za
Date: July 13, 2020
Subject: Lecturer Position, Applied Mathematics, Univ of the Witwatersrand


Description: The School of Computer Science and Applied Mathematics
undertakes high-quality research in a wide variety of areas and is
home to several South African National Research Foundation (NRF) rated
scientists. In the domain of Applied Mathematics, the School's main
research areas include symmetry methods of differential equations,
mathematical modelling, control theory, optimization, numerical
analysis and continuum mechanics. Research areas are in mathematics of
finance, include but not limited to, portfolio optimization, risk
management, risk measurement, stochastic processes in finance and
interest rate modelling. We seek applicants with some research and
teaching experience in the area of Applied Mathematics.

Qualifications: Applicants must hold a doctorate in Applied
Mathematics. A background in Mathematics for Business will be an
advantage. The following factors will be taken into account, (i) some
evidence of publications in accredited journals, (ii) current or
future research areas and how this research will be compatible with
and/or strengthen the research activity within the department, (iii)
teaching experience at a tertiary institution. New PhD graduates will
be considered.

Duties: The successful applicant will be expected to teach topics in
Mathematics for Business, Finance and Economics, and Financial
Mathematics - A Computational Approach, at undergraduate.
Postgraduate teaching, supervise and/or co-supervise honours students
will be minimal. Participation in academic administration and develop
a productive research programme will be required. Applications:
Submit a covering letter accompanied by a detailed and updated
curriculum vitae, NRF rating (if available), description of research
interests, description of a teaching philosophy or portfolio,
certified copies of all educational qualifications and identity
document with 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
telephonic/Skype interview, and the presentation of a short lecture on
a topic decided by the School and a seminar on the proposed line of
research may be required.

Closing date: 31 July 2020



From: MONTAZ ALI montaz.ali@wits.ac.za
Date: July 13, 2020
Subject: Lecturer Position, Comp Finance, Univ of the Witwatersrand


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 symmetry
analysis of differential equations, mathematical modelling, control
theory, optimization, numerical analysis and fluid and solid
mechanics. Research areas are in mathematics of finance, include but
not limited to portfolio optimization, risk management, risk
measurement, stochastic processes in finance and interest rate
modelling. We seek applicants with some research and teaching
experience in the area of computational finance or mathematics of
finance.

Qualifications: Applicants must hold a doctorate in Mathematical
Sciences, Computational Finance or Mathematics of Finance. Some
teaching experience at a tertiary institution will be an advantage.
New PhD graduates will be considered.

Duties: The successful applicant will be expected to teach
Computational Finance or Mathematics of Finance topics at postgraduate
levels, supervise and/or co-supervise honours students, participate in
academic administration and develop a productive research profile in
field of Mathematics of Finance field.

Applications: Submit a covering letter accompanied by a detailed
updated curriculum vitae, NRF rating (if available), description of
research interests, description of a teaching portfolio, certified
copies of all educational qualifications and identity document with
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
telephonic/Skype interview, and the presentation of a short seminar on
the proposed line of research may be required.

Closing date:31 July 2020



From: MONTAZ ALI montaz.ali@wits.ac.za
Date: July 13, 2020
Subject: Lecturer Position, Numerical Analysis, Univ of the Witwatersrand


Description: The School of Computer Science and Applied Mathematics
undertakes high-quality research in a wide variety of areas and is
home to several South African National Research Foundation (NRF) rated
scientists. In the domain of Applied Mathematics, the School's main
research areas include symmetry methods of differential equations,
mathematical modelling, control theory, optimization, numerical
analysis and continuum mechanics. Research areas are in mathematics of
finance, include but not limited to, portfolio optimization, risk
management, risk measurement, stochastic processes in finance and
interest rate modelling. We seek applicants with some research and
teaching experience in the area of Numerical Analysis and/ or
Numerical Methods.

Qualifications: Applicants must hold a doctorate in Numerical Analysis
or in Applied Mathematics with a strong focus on Numerical Methods.
The following factors will be taken into account, (i) evidence of
publications in accredited journals, (ii) current or future research
areas and how this research will be compatible with and/or strengthen
the research activity within the department, (iii) teaching experience
at a tertiary institution. New PhD graduates will be considered.

Duties: The successful applicant will be expected to teach Numerical
Analysis courses at undergraduate and postgraduate levels, supervise
and/or co-supervise honours students, participate in academic
administration and develop a productive research programme.

Applications: Submit a covering letter accompanied by a detailed and
updated curriculum vitae, NRF rating (if available), description of
research interests, description of a teaching philosophy or portfolio,
certified copies of all educational qualifications and identity
document with 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
telephonic/Skype interview, and the presentation of a short lecture on
a topic decided by the Head of School and a seminar on the proposed
line of research may be required.

Closing date: 31 July 2020



From: MONTAZ ALI montaz.ali@wits.ac.za
Date: July 13, 2020
Subject: Lecturer Position, Optimization, Univ of the Witwatersrand


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 symmetry
analysis of differential equations, mathematical modelling, control
theory, optimization, numerical analysis and fluid and solid
mechanics. Research areas are in mathematics of finance, include but
not limited to, portfolio optimization, risk management, risk
measurement, stochastic processes in finance and interest rate
modelling. We seek applicants with some research and teaching
experience in the area of Optimization.

Qualifications: Applicants must hold a doctorate in Optimization. Some
teaching experience at a tertiary institution will be an advantage.
New PhD graduates will be considered.

Duties: The successful applicant will be expected to teach
Optimization topics at undergraduate and postgraduate levels,
supervise and/or co- supervise honours students, participate in
academic administration and develop a productive research programme.

Applications: Submit a covering letter accompanied by a detailed
updated curriculum vitae, NRF rating (if available), description of
research interests, description of a teaching portfolio, certified
copies of all educational qualifications and identity document with
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
telephonic/Skype interview, and the presentation of a short seminar on
the proposed line of research may be required.

Closing date: 31 July 2020


From: J. Lu jianlu1979@163.com
Date: July 17, 2020
Subject: Postdoc Position, Optimization/ Computer Vision, SZU


Job Type: Full-Time
Duration: 2 years
Number of Position: 4 Positions

Salary for Postdoc: about 330,000 -- 370,000 RMB (47000 -- 53000 US
dollars) per year for those who are less than 35 years old and
obtained a PhD degree no more than 3 years; about 480,000 RMB (about
68,000 US dollars) per year for those who are less than 35 years old
and have obtained Ph.D. degrees from universities ranked 200 in the
world (e.g., Times Higher Education World University Ranking, QS,
USNEWS).

Closing Date: Open Until Filled

Description: We have projects that are looking for Postdoc in
Optimization/Computer Vision, etc.

We have no teaching tasks for Postdoc.

Promotor: Prof. Jian Lu (Shenzhen Key Laboratory of Advanced Machine
Learning and Applications, College of Mathematics, Shenzhen
University)

Those who are interested please send their C.V. to Prof. Jian Lu
(email: jianlu@szu.edu.cn; jianlu1979@163.com).


From: Wim Michiels Wim.Michiels@cs.kuleuven.be
Date: July 15, 2020
Subject: PhD Position, KU Leuven & Czech Technical Univ, Prague


A PhD position is available on the interdisciplinary project "Design
methods and computational tools for delay based vibration control of
mechatronic systems".

Recently novel techniques for vibration absorption, which involve the
use of delay based input shapers and so-called delayed resonators,
have been developed and successfully applied to flexible mechatronic
systems. The aim of the project is to analyze properties of poles and
zeros of multi-input, multi-output systems with delays, and to develop
and validate optimization based control design techniques, grounded in
simultaneously shaping spectra of poles and zeros, and capable of
solving co-design problems of absorbers and higher-level controllers
(to position a platform or to manipulate a robot's arm). These
requirements stem from the property that for future-generation delay
based vibration suppression techniques, a separation principle
allowing a separate design of absorbers and controllers, is no longer
viable, necessitating fundamentally different design tools.

We offer a PhD position for four years at KU Leuven (main institution)
and the CTU in Prague (one year stay), two top European universities
and hubs for interdisciplinary research in the fields of Applied
Mathematics and Systems & Control, aiming at a double doctorate. This
vacancy fits within a long-standing collaboration and a joint project
between the research groups of W. Michiels (KU Leuven - Numerical
Analysis and Applied Mathematics Center) and T. Vyhlidal (Czech
Technical University in Prague, Faculty of Mechanical Engineering).

More information and application instructions can be found at
https://people.cs.kuleuven.be/~wim.michiels/vacKULCTU.pdf



From: Ricardo Ruiz Baier ricardo.ruizbaier@monash.edu
Date: July 12, 2020
Subject: PhD Position, Numerical Analysis of PDEs, Monash Univ


Applications are invited for fully funded PhD positions at the School
of Mathematics of Monash University, Australia.

The topics of the PhD projects relate broadly to the analysis of
finite element methods for time-dependent interface problems in
composite porous media with large deformations.

Candidates are expected to have finished, or be about to finish, a
Master's degree in mathematics or an equivalent qualification
(candidates with degrees on different disciplines must show evidence
that they completed a sufficient amount of mathematical training). A
good command of numerical analysis, scientific computing, functional
analysis, and PDEs is required.

Inquiries and applications (including at least a cover letter, CV,
certificates of academic degrees and references for possible
recommendation letters) should be directed to Assoc. Prof. Ricardo
Ruiz Baier (ricardo.ruizbaier@monash.edu) until August 15, 2020.

Further details on the School of Mathematics, the graduate programme,
and the subject of the call can be found in

https://www.monash.edu/science/schools/school-of-mathematics/postgraduate-research
https://research.monash.edu/en/persons/ricardo-ruiz-baier



From: Axel Kroener axel.koener@wias-berlin.de
Date: July 17, 2020
Subject: PhD Position, Restricted Mean-Field Games, WIAS, Berlin


The Weierstrass Institute for Applied Analysis and Stochastics (WIAS)
invites in the Research Group "Nonsmooth Variational Problems and
Operator Equations" (Head: Prof. Dr. M. Hintermuller) applications for
a PhD Student Position (f/m/d) (Ref. 20/13) to be filled at the
earliest possible date. The position is associated with the research
project "Restricted Mean-Field games: Analysis and Algorithms" within
the DFG Priority Program SPP1962 "Non-smooth systems and
complementarity problems with distributed parameters: simulation and
multistage optimization".

Prerequisite: Knowledge in the field of theory or numerics of partial
differential equations and in optimization or game theory. Technical
queries should be directed to Prof. Dr. Michael Hintermuller
(Michael.Hintermueller@wias-berlin.de). The position is remunerated
according to TVoD and is limited to three years. Please upload your
complete application documents (motivation letter, detailed CV,
certificates, list of MSc courses and grades, copy of the master
thesis, reference letter, etc.) via our applicant portal on
https://short.sg/j/7196550 Deadline: August 7th, 2020


From: Gerlind Plonka-Hoch plonka@math.uni-goettingen.de
Date: July 16, 2020
Subject: PhD Positions, Applied Mathematics, Univ of Goettingen


Applications are invited for 2 PhD positions at the the Institute for
Numerical and Applied Mathematics at the Universitat Goettingen.

These PhD positions are within RTG 2088: Statistics meets optimization
and inverse problems under my supervision. We offer an
interdisciplinary qualification program that equips our graduate
students with a broad set of skills for data analysis - also beyond
the scientific scope of our RTG. Both positions start as soon as
possible and are limited to 3 years.

Candidates should hold an excellent or very good M.Sc. degree (or
equivalent) in mathematics, have a strong interest in Fourier
analysis, harmonic analysis, mathematical signal and image processing,
and/or Bayesian statistics, feel comfortable with writing and speaking
in English, ideally have experience in programming.

The advertisement with exact description of the application process
can be found under
https://www.uni-goettingen.de/de/305402.html?cid=100708
Please contact me for any questions.


From: Cornelia Böhnstedt cornelia.boehnstedt@fu-berlin.de
Date: July 16, 2020
Subject: PhD Program, PharMetrX, Berlin/Potsdam, Germany


The Graduate Research Training Program PharMetrX: Pharmacometrics &
Computational Disease Modelling is an interdisciplinary PhD program
bridging pharmacy and mathematics. It aims at understanding the
drug-patient-disease interaction by analysing data of drug
concentration, effect & disease profiles of pre-/clinical trials and
of therapeutic care by developing and using mathematical & statistical
models. We are currently inviting applications to enrol in the
PharMetrX Research+ Program or the PharMetrX Training+ Program. The
PharMetrX Research+ Program (Research & Training & Network) comprises
an excellent research environment in the vibrant Berlin/Potsdam area,
fascinating and innovative research projects in a highly relevant
field, truly transdisciplinary supervision, an individual mentorship
from one of the associated industry partners, a specifically tailored
training program of compact modules, a network of peers and a highly
competitive 3.5 years fellowship. The PharMetrX Training+ Program
(Training & Network) offers a specifically tailored training program
of compact modules that convey the foundations in pharmacokinetics &
pharmacodynamics, systems biology, statistics, methodological
approaches of modelling & simulation etc. as well as a network of
peers. It is open for PhD students who have already started their PhD
in the field of pharmacometrics or will do so soon. Both programs are
open to candidates with a university degree in pharmacy,
pharmaceutical sciences, mathematics/statistics, bioinformatics, life
sciences or medicine. See https://www.PharMetrX.de for further details.

Deadline for applications: 15 September 2020.

PharMetrX is a joint program of Freie Universitat Berlin and the
Universitat Potsdam, supported by a consortium of global
research-driven pharmaceutical companies.



From: Vadym Aizinger vadym.aizinger@uni-bayreuth.de
Date: July 13, 2020
Subject: CFP, GEM Topical Collection on Numerical Methods for Ocean Modeling


GEM - International Journal on Geomathematics invites you to submit to
the Topical Collection "Numerical Methods for Global and Regional
Ocean Modeling" edited by Vadym Aizinger, Tuomas rna, Daniel Le Roux
and Y. Joseph Zhang, which provides an overview of the progress in
this rapidly developing area, to identify current challenges, and to
present and discuss promising approaches.

The topics covered include but are not limited to the design and
analysis of novel discretization schemes for the hydrodynamics and
other relevant physical processes, development of inverse and reduced
order models, application of stochastic techniques, adaptivity, model
coupling, and other mathematical and numerical methodologies relevant
to the area of ocean modeling. In addition, submissions of overview
papers reporting on significant conferences in the field are highly
encouraged.

The guest editors of this special issue invite interested authors to
submit their contributions to GEM starting August 1, 2020 until July
31, 2021 and to spread this "Call for Papers" to other colleagues
active in this area.

Link to the announcement on the journal homepage:
https://www.springer.com/journal/13137/updates/18141046


From: Dante Kalise dante.kalise@nottingham.ac.uk
Date: July 16, 2020
Subject: CFP, Machine Learning for Control Systems and Optimal Control


Mathematics of Control, Signals and Systems has a long tradition in
publishing papers at the interface of machine learning and artificial
intelligence with the mathematics of control systems and signals. An
outstanding example is the seminal paper of George Cybenko on
approximation by superposition of sigmoidal functions, which was
published in MCSS in 1989. By now, it is well understood that there
exist many fruitful links between optimal control, estimation and
learning. For example, in supervised learning training, a neural
network for classification tasks can be phrased as an optimal control
problem. Likewise, there exist promising approaches to approximate the
argmin operator of an optimization or optimal control problem via
learning techniques. Hence MCSS is inviting mathematically rigorous
original research articles for a special issue on 'Machine Learning
for Control Systems and Optimal Control'. Submissions should
investigate theoretical and numerical interconnections of optimal
control and/or estimation with machine learning in a broad sense,
i.e. including supervised learning, reinforcement learning, etc. At
the top of this, the main objective of the special issue is not only
to draw a state-of-the-art of the topic but also to provide
significant novelties and to identify challenges for the future
research. Submissions are open until January 31th 2021 and will
undergo a rigorous peer-review process. The issue is expected to be
published in 2021, in the meantime corrected proofs of accepted papers
will be available as Online First.

If any questions, please contact one of the associate editors:
- Timm Faulwasser timm.faulwasser@tu-dortmund.de
- Dante Kalise dante.kalise@nottingham.ac.uk
- Emmanuel Trelat mailto:emmanuel.trelat@sorbonne-universite.fr


From: Computational methods in applied mathematics cmam@degruyter.com
Date: July 13, 2020
Subject: Contents, Computational Methods in Applied Mathematics, 2020 (3)


COMPUTATIONAL METHODS IN APPLIED MATHEMATICS
https://www.degruyter.com/view/j/cmam/ (2020), No 3

Contents

1. Quasi-overlapping Semi-discrete Schwarz Waveform Relaxation
Algorithms: The Hyperbolic Problem, Mohammad Al-Khaleel and Shu-Lin Wu

2. Numerical Solution to the 3D Static Maxwell Equations in
Axisymmetric Singular Domains with Arbitrary Data, Franck Assous and
Irina Raichik

3. The Gradient Discretisation Method for Linear Advection Problems,
Jerome Droniou, Robert Eymard, Thierry Gallouet and Raphaele Herbin

4. Adaptive Mesh Refinement in 2D - An Efficient Implementation in
Matlab, Stefan A. Funken and Anja Schmidt

5. A Robust Finite Element Method for Elastic Vibration Problems,
Yuling Guo and Jianguo Huang

6. A Reduced Crouzeix-Raviart Immersed Finite Element Method for
Elasticity Problems with Interfaces, Gwanghyun Jo and Do Young Kwak

7. Regularized Collocation in Distribution of Diffusion Times Applied
to Electrochemical Impedance Spectroscopy, Sergei V. Pereverzev,
Sergiy G. Solodky, Vitalii B. Vasylyk and Mark Zic. Free Access

8. Ensemble Algorithm for Parametrized Flow Problems with Energy
Stable Open Boundary Conditions, Aziz Takhirov and Jiajia Waters

9. On the Parameter Choice in the Multilevel Augmentation Method,
Suhua Yang, Xingjun Luo, Chunmei Zeng, Zhihai Xu and Wenyu Hu

10. Numerical Approximations for the Variable Coefficient Fractional
Diffusion Equations with Non-smooth Data, Xiangcheng Zheng, Vincent
J. Ervin and Hong Wang. Free Access



From: Claude Brezinski claude.brezinski@univ-lille.fr
Date: July 19, 2020
Subject: Contents, Numerical Algorithms, 84 (4)


Table of Contents, Numerical Algorithms, Vol. 84, No. 4

Special issue dedicated to Gerard Meurant
at the occasion of his 70th anniversary

International Conference Mathematical Modelling with Applications
Mohammed V University, Rabat; Morocco, 1-4, April 2019

Special volume on mathematical modeling with applications,
Froilan Dopico, Khalide Jbilou, Mohammed Seaid

Some unusual results on extrapolation methods, Claude Brezinski,
Michela Redivo-Zaglia

The simpler block CMRH method for linear system,s Ilias Abdaoui,
Lakhdar Elbouyahyaoui, Mohammed Heyouni

Preconditioned Krylov subspace and GMRHSS iteration methods for
solving the nonsymmetric saddle point problems, A. Badahmane,
A. H. Bentbib, H. Sadok

FDEMtools: a MATLAB package for FDEM data inversion, G. P. Deidda,
P. Diaz de Alba, C. Fenu, G. Lovicu, G. Rodriguez

On the residual norms, the Ritz values and the harmonic Ritz values
that can be generated by restarted GMRES, Jurjen Duintjer Tebbens,
Gerard Meurant

On prescribing the convergence behavior of the conjugate gradient
algorithm, Gerard Meurant

Simple stopping criteria for the LSQR method applied to discrete
ill-posed problems, Lothar Reichel, Hassane Sadok, Wei-Hong Zhang

Computation of energy eigenvalues of the anharmonic Coulombic
potential with irregular singularities, M. Essaouini, B. Abouzaid,
P. Gaudreau, H. Safouhi

Krylov subspace projection method for Sylvester tensor equation with
low rank right-hand side, A. H. Bentbib, S. El-Halouy, El M. Sadek

Mixed finite element methods for the Oseen problem, Mohamed Farhloul

On the calculation of the poles of multivariate meromorphic functions
using the symbolic-numeric two-point qd-algorithm, A. Elidrissi,
J. Abouir, B. Benouahmane

Extended nonsymmetric global Lanczos method for matrix function
approximation, A. H. Bentbib, M. Ghomari, K. Jbilou

Leja, Fejer-Leja and R-Leja sequences for Richardson iteration, Moulay
Abdellah Chkifa

RMVPIA: a new algorithm for computing the Lagrange multivariate
polynomial interpolation, M. Errachid, A. Essanhaji, A. Messaoudi

Golub-Kahan bidiagonalization for ill-conditioned tensor equations
with applications, Fatemeh P. A. Beik, Khalide Jbilou, Mehdi
Najafi-Kalyani, Lothar Reichel

Identification of the source function for a seawater intrusion problem
in unconfined aquifer, S. Slimani, I. Medarhri, K. Najib, A. Zine

A variational method for solving two-dimensional Bratu's problem,
A. Kouibia, M. Pasadas, R. Akhrif



End of Digest
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