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NA Digest, V. 20, # 40

NA Digest Tuesday, October 20, 2020 Volume 20 : Issue 40

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: Craig C. Douglas Craig.C.Douglas@gmail.com
Date: October 11, 2020
Subject: Greg Astfalk

Greg was was a major contributor to scientific computing and SIAM for
a number of years. He was a chief scientist of Hewlett-Packard and a
significant member of Convex Computers before HP bought Convex. I am
trying to track him down for a historical question that he is unique
in possibly answering. If he is reading this message or someone else
knows how to contact him, please send me a private message to my email

Craig Doiuglas

From: Pamela Bye pam.bye@ima.org.uk
Date: October 16, 2020
Subject: IMA 16plus Careers Lecture, ONLINE, Nov 2020

Virtual Event: IMA 16plus Careers Lecture
Tuesday 10th November, 2020 , 17.30-19.00pm

In this 16+ lecture, we'll discover how the mathematical sciences can
play a key role in many different careers, including some you might
not expect. We will discuss who employs mathematicians, what
mathematicians do, and what skills are most valuable to mathematicians
(including tips to make your CV stand out). We'll hear from a
professional using mathematics to model the impact on the economy from
events such as the Coronavirus pandemic, a mathematician using their
skills to delve into the realm of biology, and mathematicians solving
real world physics and engineering challenges. Speaker profiles

Zahraa Kadri is a senior data analyst in transportation and
engineering mathematics.

Ben Calverley is a PhD student at the University of Manchester,
working in maths and biology.

Professor Marina Logares is a lecturer who has worked in the UK and
Spain - teaching and researching algebraic geometry and how it
relates to physics.

Dr Ken O'Neill. Since February 2019, Ken is the Lead Official for
Statistics at Accountant in Bankruptcy (AiB), an executive agency of
Scottish Government, where he is responsible for the production of
statistical outputs within AiB.

From: Dietmar H=C3=B6mberg dietmar.hoemberg@wias-berlin.de
Date: October 17, 2020
Subject: Maths for Industry 4.0, ONLINE, Dec 2020

In a joint activity of the Special Interest Groups Mathematics for Big
Data and Math for the Digital Factory of the European Consortium for
Mathematics in Industry (ECMI) this workshop strives to bring together
data scientists, mathematicians, and engineers from academia and
industry to discuss recent developments in digital manufacturing.

The webinar consists of a combination of plenary and contributed
scientific talks. There will be a session on digital twin technology
with presentations highlighting theoretical concepts and practitioners
from industry showing state of the art digital twin
realizations. Another topic will be machine learning and artificial
intelligence applications in automated manufacturing. In addition, we
plan a session with representatives of the MANUFUTURE technology
platform and the EU Industrial Technologies Programme (NMP) about
challenges in manufacturing research and funding opportunities in the
new Horizon Europe framework program.

Further information about confirmed plenary speakers, submission of
abstracts and pre-registration can be found on the event webpage,

From: Andreas Stathopoulos andreas@cs.wm.edu
Date: October 16, 2020
Subject: Deadline Extensions, SIAM Applied Linear Algebra, USA, May 2021

SIAM Conference on Applied Linear Algebra (LA21)
Dates: May 17-21, 2021
Location: New Orleans, LA, USA

- November 2, 2020: Minisymposium proposals
- November 30, 2020: Posters and abstracts for contributed and
minisymposium speakers

For an up to date COVID-19 contingency plan FAQ regarding LA21, visit:

For information about the conference, visit
https://www.siam.org/conferences/cm/conference/la21 .

From: Asya Mkhitaryan asyam@synopsys.com
Date: October 20, 2020
Subject: Senior R&D Engineer Position, Synopsys

Synopsys Inc. is seeking talented Senior R&D Engineers, with expertise
in scientific computing and software development, who will join the
Synopsys TCAD team to develop exciting physics-based simulation
platforms, used by semiconductor corporations, research institutions,
and universities worldwide. Primary responsibilities include
designing, developing, and implementing software infrastructure
components, novel physics and geometry modeling engines to enable the
fast and accurate simulation of large semiconductor devices,
interconnects and circuits consisting of many interconnected
devices. You will be joining a high- performing and collaborative R&D
culture with diverse expertise, experience and interests in software
development and scientific computing, and will enjoy a creative and
international work environment.

Requirements: PhD or MS in Computer Science, Physics, Engineering or
Applied Mathematics with + 3 years of development experience; Strong
design/programming skills in C++ and strong background in data
structures and algorithms; Experience with modern algorithms for the
computational solution of partial differential equations or 3D
unstructured mesh generation; Experience developing FEM (finite
element method) or FVM (finite volume method) analysis simulators in
commercial and/or industrial/research lab settings.

Please find more information on positions, requirements and online
application form at:

From: Heike Sill heike.sill@wias-berlin.de
Date: October 19, 2020
Subject: Research Assistant Position, Germany

WIAS invites applications for a Research Assistant Position (m/f/d)
(Ref. 20/20) in the Research Group "Stochastic Algorithms and
Nonparametric Statistics" (Head: Prof. Dr. Vladimir Spokoiny) starting
at January 1st, 2021 for the project "Analysis of brain signals by
Bayesian Optimal Transport" within the framework of the excellence
cluster Math+.

The preconditions are a completed scientific university education as
well as a doctorate in the field of mathematics or equivalent

Wanted: We are seeking outstanding scientists in a research field of
statistics, machine learning, or optimization.

The research area comprises the following topics among other: Optimal
transport. Statistical image analysis. Bayesian methods.
Classification and clustering. Large-scale optimization. Very good
English skills are still expected. International experience is also

The position is remunerated according to TVoD and is limited until
December 31st, 2022. The work schedule is 39 hours per week, and the
salary is according to the German TVoD scale.

See here for more information: https://short.sg/a/7825477

From: Axel Kroener axel.kroener@wias-berlin.de
Date: October 20, 2020
Subject: Research Assistant Position, WIAS, Germany

WIAS invites in the Research Group "Nonsmooth Variational Problems and
Operator Equations" (Head: Prof. Dr. M. Hintermuller) applications for
a Research Assistant Position (f/m/d) (Ref. 20/23) to be filled at the
earliest possible date.

Field of work: Optimization with partial differential equations. The
holder of the position is qualified in a modern field of optimization
with partial differential equations. Of particular interest are
non-smooth coupled systems and data-driven (e.g. machine learning)
approaches to modeling and optimization or variational problems in
mathematical image processing. In addition to analytical
considerations, the development and implementation of numerical
solution methods are of central importance.

Wanted: A motivated, outstanding young researcher with a very good
degree and excellent doctorate in mathematics as well as previous
experience in the fields mentioned above with the willingness to take
on responsibility for interdisciplinary projects. Further experience
within the framework of independent research in a postdoctoral phase
as well as very good knowledge in the areas of - Optimal control with
partial differential equations and numerical solution methods, -
Quasivariation inequalities, - Non-smooth variation problems,
e.g. with applications in image processing, as well as experience in
the computer-aided realization of the associated numerical solution

For further information: https://short.sg/j/7839947

The search for a qualified candidate will start immediately and
continue until the position is filled.

From: Martin Buecker martin.buecker@uni-jena.de
Date: October 15, 2020
Subject: Research Scientist/Postdoc Positions, Friedrich Schiller Univ, Ger=


The Friedrich Schiller University Jena, founded in 1558, invites
applications for four positions to start a new university-wide center
to strengthen research in data-driven and simulation
science. Establishing such a competence center is an exciting
opportunity for people with an exceptional ability to believe what
should happen in the future of computational and data science.

The official announcements for the positions
- acting manager
- high-performance computing
- research data management
- visualization and data exploration

are available at: https://www.mscj.uni-jena.de/opportunities/

From: Steven Fletcher steven.fletcher@colostate.edu
Date: October 12, 2020
Subject: Postdoc Position, Data Assimilation and ML, CIRA, USA

The Cooperative Institute for Research in the Atmosphere at Colorado
State University in Fort Collins, Colorado, USA has the following
position available: Postdoctoral Fellow, Data Assimilation and Machine
Learning Scientist (20-118)

The Cooperative Institute for Research in the Atmosphere (CIRA) at
Colorado State University seeks to fill a postdoctoral fellowship in
November 2020 as part of a National Science Foundation (NSF) award to
train a new scientist in data assimilation and machine learning
techniques. Located at CIRA in Fort Collins, Colorado, this fellowship
is intended for persons who have completed their Ph.D.'s within the
last 3 years and may last up to 3 years contingent upon NSF funding
availability. Recent work at CIRA has focused on non-Gaussian-based
data assimilation systems that are mixed Gaussian-lognormal based. As
part of a previous award, a second non-Gaussian distribution has been
detected in the Lorenz 63 model, as well as early indication of this
reverse lognormal distribution in the output from the Weather Research
and Forecasting (WRF) model. The individual in this position will
develop the theory of the reverse lognormal in both variational and
ensemble data assimilation systems. Specifically, the individual in
this position will serve as a member of the CIRA data assimilation
group and will test the robustness of machine learning techniques to
identify the links between non-Gaussian distributions and different
atmospheric scale dynamics, convert the hybrid version of WRF-GSI to
have a non- Gaussian component, and assess the robustness of new
non-Gaussian based ensemble systems along with advancing the
development of a new version of the Maximum Likelihood Ensemble
Smoother. For full position announcement and to apply, please click
"Apply to this Job" at the following website:
http://jobs.colostate.edu/postings/80087. CSU is an EO/EA/AA employer
and conducts background checks on all final candidates.

From: Human Resources ads@adclub.com
Date: October 13, 2020
Subject: Postdoc Position, HPC Numerical Algorithms, LBNL

HPC Numerical Algorithms Postdoctoral Researcher - 91276
Organization: CR-Computational Research

Berkeley Lab's Computational Research (https://crd.lbl.gov/) Division
has an opening for a HPC Numerical Algorithms Postdoctoral Researcher
to work on high-performance numerical algorithm development. The
Applied Numerical Algorithms Group (ANAG) develops advanced numerical
algorithms and software for partial differential equations integrated
with the application of the software to problems of independent
scientific and engineering interest. The primary focus of our work is
in the development of high-resolution and adaptive discretizations of
partial differential equations in complex geometries, targeting
DOE-mission applications including biological systems,
electro-chemical and electro-magnetic systems, climate, and fusion
energy. We are seeking strong software and applied math candidates
that can help develop the next generation of finite volume numerical
algorithms, which must be both highly accurate and fast on multi-core
and GPU architectures. You will join an interdisciplinary team of
applied mathematicians and software engineers to develop new
algorithms for next-generation high performance computing (HPC)
computational science simulations. We value and strive for diversity
in backgrounds, experiences, and perspectives. What You Will Do:
Analyze accuracy and stability of numerical algorithms and linear
algebra solvers. Understand C++ software design and development for
high- performance computer architectures. Contribute to publications
and participate in conferences and meetings. Contribute in a
multidisciplinary team environment which includes mathematicians,
software developers, and computational scientists. What is Required:
Ph.D. in Applied Mathematics, Computer Science, or Physical
Sciences/Engineering within the last 3 years, with a strong research
background in at least some of applied mathematics, computational
methods, and scientific computing. General experience in developing
and using numerical software for partial differential equations. Some
experience in C/C++ programming. Experience developing mathematical
and software models for science applications is desired.
Understanding of computer systems architecture and their contributions
to the overall system performance is also desirable. For full
consideration, please submit a CV. The posting shall remain open until
the position is filled.

Apply directly online at and
follow the on-line instructions to complete the application process.

From: Bobby Philip bphilip@lanl.gov
Date: October 13, 2020
Subject: Postdoc Position, Multi-physics Methods and Simulation, LANL

We invite applications for a postdoc position in our group at Los
Alamos National Laboratory focused on developing high fidelity
simulation tools for Inertial Confinement Fusion (ICF) and High Energy
Density (HED) physics. The successful applicant will be part of a team
that is developing new mathematical algorithms and techniques for
coupled multiscale multi-physics simulations of kinetic plasmas,
radiation, electromagnetic effects, and nonlinear laser plasma
interactions. Further details regarding the position and how to apply
can be found at:


Please feel free to contact Bobby Philip ( bphilip at lanl.gov ) for
questions regarding this position.

From: Per Christian Hansen pcha@dtu.dk
Date: October 20, 2020
Subject: PhD & Postdoc Position, Computational UQ, Technical Univ of Denmar=


The Technical University of Denmark opens a 2-year Postdoc position
and a 3-year PhD position starting January 1, 2021 or soon thereafter.
These are part of the project Computational Uncertainty Quantification
for Inverse problems, CUQI: www.compute.dtu.dk/english/cuqi.

The postdoc will contribute to design, abstraction, and implementation
of fundamental Bayesian inversion methods with focus on exploitation
of problem structure, choice of sampling methods, acceleration of the
forward model computations, and suitable user interfaces. The work is
done in close collaboration with CUQI project members. The postdoc
will also help support and train users of the CUQI software, as well
as develop documentation and tests.

The PhD student will pursue uniqueness results and stability estimates
for inverse source problems and passive medium imaging problems
involving random media. The project will quantify the uncertainty in
solutions due to measurement noise or random medium noise, and due to
incomplete measurement data, as well as derive and test convergence
estimates for numerical solvers.

Both the Postdoc and the PhD student will work individually and as
team players supported by dedicated supervisors, and contribute to a
general computational platform for UQ for inverse problems. Applicants
are expected to contribute to teaching and training activities as well
as supervision of students.

For more details and to apply, see: https://tiny.cc/CUQI-Postdoc-3 and

From: Hakon Hoel hoel@uq.rwth-aachen.de
Date: October 13, 2020
Subject: PhD Position, Numerical Analysis, RWTH Aachen Univ

The Department of Mathematics at RWTH Aachen University invites
applications for a PhD position in "Numerical analysis of stochastic
differential equations and data assimilation" under the primary
supervision of Hakon Hoel, Junior Professor at the Chair of
Mathematics for Uncertainty Quantification.

The position is funded for up to 3 years on the salary scale TV-L at
75%, and it comes with a teaching load of 3 hours weekly during the
semester. The task and duties of the position consist of mathematical
modeling, analysis and development of numerical methods for solving
practically relevant problems in data assimilation, molecular dynamics
and mathematical finance with uncertainties in the forward model
and/or the measurement data. It is also expected that you will attend
and present recent research findings at international conferences.

Official announcement at RWTH: http://bit.ly/MATH4UQPHD

Deadline: For full consideration, please apply by November 15th 2020,
but applications will be accepted until the position is filled. The
starting date is as soon as possible after November 15th 2020.

For any further inquiries about the position, please contact Hakon
Hoel (hoel@uq.rwth-aachen.de).

From: Sebastian Aland sebastian.aland@htw-dresden.de
Date: October 14, 2020
Subject: PhD Position, Numerical Simulation of Cell Biology, Germany

An open PhD position is available in the DFG project "Phase-Field
Models for Biological Cells in Flow". The collaborative research
project is shared between HTW Dresden and TU Freiberg. The funding
will run for 3 years starting in early 2021 (negotiable). The salary
is according to 75% of the German E13 scale (>38.000 Euro per year).

The project is concerned with the numerical simulation of a biological
cell and aims to develop a new method to detect cellular diseases by
means of mathematical modeling and simulations. The mission will
involve scientific exchange and collaboration with experimentalists
and other researchers from all over the world.

The successful candidate should have a diploma or master's degree in
Mathematics, Computational Engineering Science, Physics, or a related
field, with a sound knowledge in numerical methods and an interest in
biological applications.

Dresden is one of the most beautiful towns in Germany and evolved in
recent years to an internationally recognized scientific center. It
combines an outstanding scientific environment with a vivid cultural
scene and cheap costs of living. The Faculty aims to increase the
proportion of women in this field, so applications from women are
particularly welcome.

Please visit https://alandlab.de/job-opening/ for further information
or contact: sebastian.aland@htw-dresden.de

From: Nail Yamaleev nyamalee@odu.edu
Date: October 16, 2020
Subject: PhD Position, Old Dominion Univ

A PhD student assistantship is available in the Department of
Mathematics and Statistics at Old Dominion University (Norfolk, VA).
This position will provide a unique opportunity to work on a
cutting-edge project in the group of Prof. N. Yamaleev in close
collaboration with research scientists of NASA Langley Research
Center. Current research in the group focuses on the development of
new entropy stable schemes for the Navier-Stokes equations,
adjoint-based methods for PDE-constrained optimization problems, and
grid adaptation methods based on error minimization. Our group has a
history of producing highly educated, independent, exceptionally
talented PhD scientists and postdocs. More information about our
research can be found at:
https://www.odu.edu/directory/people/n/nyamalee#profiletab=3D1. A
typical PhD study in our group leads to participation in national and
international conferences and meetings, multiple publications in top
journals such as Journal of Computational Physics, Computers & Fluids,
AIAA Journal etc., and ample opportunities for networking with leading
research scientists from NASA, national labs, academia, and industry.
We are looking for an enthusiastic and highly motivated PhD candidate
with a M.S. or B.S. degree in Mathematics, Computer Science,
Engineering or a closely related field. A solid background in
numerical methods, strong hands-on experience in programming in
Fortran 90 or C++, and effective communication skills (written/spoken
English) are required.

The start date for this position is January 2021 or September 2021.
Interested candidates should apply for a graduate assistantship in
computational and applied mathematics at:
https://www.odu.edu/admission/graduate . Further details on how to
apply can be found at:
For more information, please contact Dr. Yamaleev at nyamalee@odu.edu

From: Attila Tan=C3=A1cs tanacs@inf.u-szeged.hu
Date: October 12, 2020
Subject: Contents, Acta Cybernetica, 24 (3)

Special Issue of the 11th Summer Workshop on Interval Methods

Preface, Ekaterina Auer, Julia Kersten, Andreas Rauh

Chapter 1: Uncertainty Modeling, Software, Verified Computing and

Sound Over-Approximation of Probabilities, Eugenio Moggi, Walid Taha,
Johan Thunberg

Reliable Visual Analytics, a Prerequisite for Outcome Assessment of
Engineering Systems, Wolfram Luther, Ekaterina Auer, Benjamin Weyers

Another Multibody Dynamics in Natural Coordinates through Automatic
Differentiation and High-Index DAE Solving, John D Pryce, Nedialko Nedialko=

Towards Analyzing the Influence of Measurement Errors in Magnetic
Resonance Imaging of Fluid Flows, Kristine John, Andreas Rauh, Martin
Bruschewski, Sven Grundmann

Computer-assisted Existence Proofs for One-dimensional
Schrodinger-Poisson Systems, Jonathan Wunderlich, Michael Plum

Verified Solution to Optimal Control Problems of Elastic Rod Motion
Based on the Ritz Method, Georgy Kostin

Eigenvalue Placement by Quantifier Elimination - the Static Output
Feedback Problem, Klaus Robenack, Rick Vosswinkel

Chapter 2: Interval Methods in Control and Robotics

Characterizing Sliding Surfaces of Cyber-Physical Systems, Luc Jaulin,
Fabrice Le Bars

Optimal Switching Instants for the Control of Hybrid Systems, Olivier
Mullier, Julien Alexandre dit Sandretto, Alexandre Chapoutot

Verified Interval Enclosure Techniques for Robust Gain Scheduling
Controllers, Julia Kersten, Andreas Rauh, Harald Aschemann

Interval Predictors for a Class of Uncertain Discrete-Time Systems,
Nacim Meslem, John Martinez

From Verified Parameter Identification to the Design of Interval
Observers and Cooperativity-Preserving Controllers, Andreas Rauh,
Julia Kersten

On Interval Observer Design for Continuous-Time LPV Switched Systems,
Chaima Zammali, Jeremy Van Gorp, Tarek Raissi

Cooperative Localization of Drones by using Interval Methods, Ide
Flore Kenmogne, Vincent Drevelle, Eric Marchand

Reliable Bounding Zones and Inconsistency Measures for GPS Positioning
using Geometrical Constraints, Hani Dbouk, Steffen Schon

From: Computational methods in applied mathematics (CMAM) cmam@degruyter.co=
Date: October 14, 2020
Subject: Contents, Computational Methods in Applied Mathematics, 2020 (4)


Contains Special Issue Articles Dedicated to the Memory of Academician
Alexander Samarskii

Modern Problems of Numerical Analysis. On the Centenary of the Birth
of Alexander Andreevich Samarskii, Raytcho Lazarov, Piotr Matus, and
Petr Vabishchevich

Finite Difference Approximation of a Generalized Time-Fractional
Telegraph Equation, Aleksandra Delic, Bosko S. Jovanovic, and Sandra

Weighted Estimates for Boundary Value Problems with Fractional
Derivatives, Ivan P. Gavrilyuk, Volodymyr L. Makarov, and Nataliya
V. Mayko

Lagrangian Mixed Finite Element Methods for Nonlinear Thin Shell
Problems, Mikhail M. Karchevsky

Reliable Computer Simulation Methods for Electrostatic Biomolecular
Models Based on the Poisson-Boltzmann Equation, Johannes Kraus,
Svetoslav Nakov, and Sergey Repin

Adaptive Space-Time Finite Element Methods for Non-autonomous
Parabolic Problems with Distributional Sources, Ulrich Langer and
Andreas Schafelner

On Convergence of Difference Schemes for Dirichlet IBVP for Two-
Dimensional Quasilinear Parabolic Equations with Mixed Derivatives and
Generalized Solutions, Piotr Matus, Dmitriy Poliakov, and Le Minh Hieu

Difference Schemes on Uniform Grids for an Initial-Boundary Value
Problem for a Singularly Perturbed Parabolic Convection-Diffusion
Equation, Grigorii I. Shishkin and Lidia P. Shishkina

A Finite Element Splitting Method for a Convection-Diffusion Problem,
Vidar Thomee

Incomplete Iterative Implicit Schemes, Petr N. Vabishchevich

Explicit Runge-Kutta Methods Combined with Advanced Versions of the
Richardson Extrapolation, Zahari Zlatev, Ivan Dimov, Istvan Farago,
Krassimir Georgiev, and Agnes Havasi

Regular research articles:

A General Superapproximation Result, Susanne C. Brenner

A First-Order Explicit-Implicit Splitting Method for a
Convection-Diffusion Problem, Amiya K. Pani, Vidar Thomee, and
A.S. Vasudeva Murthy

A Factorization of Least-Squares Projection Schemes for Ill-Posed
Problems, Shukai Du and Nailin Du

A New Mixed Functional-probabilistic Approach for Finite Element
Accuracy, Joel Chaskalovic and Franck Assous

Error Analysis of a Finite Difference Method on Graded Meshes for a
Multiterm Time-Fractional Initial-Boundary Value Problem, Chaobao
Huang, Xiaohui Liu, Xiangyun Meng, and Martin Stynes

A Finite Element Method for Elliptic Dirichlet Boundary Control
Problems, Michael Karkulik

From: Ed Saff Constructive.Approximation@vanderbilt.edu
Date: October 19, 2020
Subject: Contents, Constructive Approximation, 52 (2)

Constructive Approximation
Volume 52, Issue 2, October 2020
Table of Contents

Ambient Approximation on Embedded Submanifolds, L. B. Maier

Sampling Almost Periodic and Related Functions, Stefano Ferri, Jorge
Galindo, and Camilo Gomez

Sharp Remez Inequality, S. Tikhonov and P. Yuditskii

The Generalized Operator Based Prony Method, Kilian Stampfer and
Gerlind Plonka

Approximation to uniform distribution in SO(3), Carlos Beltran and
Damir Ferizovic

Hyperuniform Point Sets on Flat Tori: Deterministic and Probabilistic
Aspects, Tetiana A. Stepanyuk

Constructive Approximation
An International Journal for Approximations and Expansions
Published by Springer

From: Lothar Reichel reichel@math.kent.edu
Date: October 20, 2020
Subject: Contents, ETNA, 51

Electronic Transactions on Numerical Analysis

V. Nallapu, Bernstein fractal approximation and fractal full Muntz

T. Valkonen, Block-proximal methods with spatially adapted

M. Brdar, S. Franz, and H.-G. Roos, Numerical treatment of singularly
perturbed fourth-order two-parameter problems

M. Ehler, S. Kunis, T. Peter, and C. Richter, A randomized
multivariate matrix pencil method for superresolution microscopy

K. Sakowski, L. Marcinkowski, P. Strak, P. Kempisty, and S. Krukowski,
On the composite discontinuous Galerkin method for simulations of
electric properties of semiconductor devices

C. Hofmann, B. Hofmann, and A. Pichler, Simultaneous identification of
volatility and interest rate functions - a two-parameter
regularization approach

A. Napov and R. Perrussel, Revisiting aggregation-based multigrid for
edge elements

A. Goddard and A. Wathen, A note on parallel preconditioning for
all-at-once evolutionary PDEs

Sk. S. Ahmad, Perturbation analysis for palindromic and
anti-palindromic nonlinear eigenvalue problems

S. Amstutz and P. Gangl, Topological derivative for the nonlinear
magnetostatic problem

J. R. Van Zandt, Efficient cubature rules

P. Kurschner, Approximate residual-minimizing shift parameters for the
low-rank ADI iteration

X.-Q. Lei, Phi-type inclusion set for eigenvalues of a tensor

Christian Clason and Vu Huu Nhu, Bouligand-Levenberg-Marquardt
iteration for a non-smooth ill-posed inverse problem

T. A. Nhan and R. Vulanovic, Analysis of the truncation error and
barrier-function technique for a Bakhvalov-type mesh

M. M. Pandur, Preconditioned gradient iterations for the eigenproblem
of definite matrix pairs

W.-R. Xu, N. Bebiano, and G.-L. Chen, On the construction of real
non-selfadjoint tridiagonal matrices with prescribed three spectra

A. Napov and R. Perrussel, Algebraic analysis of two-level multigrid
methods for edge elements

A. Neubauer, Augmented GMRES-type versus CGNE methods for the solution
of linear ill-posed problems

A. Klawonn, M. Lanser, O. Rheinbach, and J. Weber, Preconditioning the
coarse problem of BDDC methods - three-level, algebraic multigrid, and
vertex-based preconditioners

N. Van Buggenhout, M. Van Barel, and R. Vandebril, Biorthogonal
rational Krylov subspace methods

Y. Feng, J. Xiao, and M. Gu, Flip-flop spectrum-revealing QR
factorization and its applications to singular value decomposition

A. Badahmane, A. H. Bentbib, and H. Sadok, Preconditioned global
Krylov subspace methods for solving saddle point problems with
multiple right-hand sides

R. Kehl, R. Nabben, and D. B. Szyld, Adaptive multilevel Krylov

H.-X. Zhong and G.-L. Chen, Thick restarting the weighted harmonic
Golub-Kahan-Lanczos algorithm for the linear response eigenvalue

H. Kanda, Laminar-turbulent transition in channel flow: wall effects
and critical Reynolds number

From: Raimondas Ciegis rc@vgtu.lt
Date: October 13, 2020
Subject: Contents, MMA Journal, 25 (4)

The Baltic Journal on Mathematical Applications, Numerical Analysis
and Differential Equations
ISSN 1392-6292, ISSN 1648-3510 online, Electronical edition:
Volume 25, Issue 4, 2020

Aliya Kantarbayeva and Almaz Mustafin, A Biologically Inspired Fluid
Model of the Cyclic Service System

Said R. Grace and John R. Graef, Oscillatory Behavior of Higher Order
Nonlinear Difference Equations

Amir Hossein Salehi Shayegan, Ali Zakeri and Seyed Mohammad Hosseini,
A Numerical Method for Solving Two-Dimensional Nonlinear Parabolic
Problems Based on a Preconditioning Operator

Michel Kern, Abdelaziz Taakili and Mohamed M. Zarrouk, Preconditioned
Iterative Method for Reactive Transport with Sorption in Porous Media

Roma Ka{\v c}inskait{\.e} and Kohji Matsumoto, On Mixed Joint Discrete
Universality for a Class of Zeta-Functions: a Further Generalization

Rima Kriauzien{\. e}, Andrej Bugajev and Raimondas {\v C}iegis, A
Three-Level Parallelisation Scheme and Application to the Nelder-Mead

Mariana Chivu Cojocaru and Andaluzia Matei, On a Class of Saddle Point
Problems and Convergence Results

Jurgita Arnastauskait{\.e} and Tomas Ruzgas, Accuracy of Nonparametric
Density Estimation for Univariate Gaussian Mixture Models: a
Comparative Study

Kishor D. Kucche, Jyoti P. Kharade and J. Vanterler da C. Sousa, On
the Nonlinear Impulsive $\Psi$--Hilfer Fractional Differential

J. Christy Roja and Ayyadurai Tamilselvan, An Overlapping Schwarz
Method for Singularly Perturbed Fourth-Order Convection-Diffusion Type

Haniye Dehestani, Yadollah Ordokhani and Mohsen Razzaghi, Numerical
Solution of Variable-Order Time Fractional Weakly Singular Partial
Integro-Differential Equations with Error Estimation

End of Digest