NA Digest, V. 21, # 15

NA Digest Monday, April 26, 2021 Volume 21 : Issue 15


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

Submissions for NA Digest:

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


From: Jack Dongarra dongarra@icl.utk.edu
Date: April 25, 2021
Subject: LA Software Survey of Freely Available Software Updated


We have an updated the survey of freely available software for the
solution of linear algebra problems. Send us comments if you see a
problem.

http://bit.ly/la-sw-survey-2021

Regards,
Jack Dongarra dongarra@icl.utk.edu
Dalal Sukkari sukkari@icl.utk.edu


From: Timo Betcke t.betcke@ucl.ac.uk
Date: April 19, 2021
Subject: Inverse Problems and Optimisation, ONLINE, May 2021


As part of the Excalibur working group on Exascale Computing for
System- Level Engineering we are organising an online workshop on
Inverse Problems and Optimisation from 6 - 7 May 2021. The workshop
starts 1pm UK time each day. The tentative programme is:

Thursday 6 May
13:00 Introduction
13:05 James Nagy (Emory University) - TBA
13:55 Bill Lionheart (University of Manchester) - TBA
14:45 Break
15:15 Chris Budd (University of Bath) - TBA
16:05 George Biros (U. T. Austin) - TBA
17:00 Open Discussion

Friday 7 May
13:00 Laurent Demanet (MIT) - TBA
13:50 Vladimir Druskin (Worcester Polytechnic Institute) - TBA
14:40 Break
15:10 Jiri Jaros (Brno University) / Felix Lucka (CWI) - TBA
16:00 Oscar Bruno (Caltech) - Fast spectral integral solvers for general
electromagnetic structures
17:00 Virtual drinks and discussions

For further information and registration please go to
https://excalibur-sle.github.io/workshop4.html



From: Andrew Mitchell becmc2021@contacts.bham.ac.uk
Date: April 19, 2021
Subject: British Early Career Mathematicians, UK, Jul 2021


Registration and abstract submissions are now open for the British
Early Career Mathematicians' Colloquium (BECMC) (formerly BYMC).

The BECMC will be held on 15th-16th July 2021 at the University of
Birmingham. This will be a two-day event aimed at PhD students and
early career mathematicians. It offers participants a valuable
opportunity to network with others in their field, gain an insight
into the active areas of research in a wide range of mathematical
disciplines, and give a talk in a relaxed and friendly
environment. The deadline for submission of abstracts will be the 14th
May 2021 with the deadline for registration being the 25th June
2021. (For more details, please visit
http://web.mat.bham.ac.uk/BYMC/BECMC21/).

Given the current government roadmap out of lockdown, the BECMC is
provisionally organised to be held in person with all relevant
COVID-19 guidelines being implemented. However, this may be subject to
change depending on future government announcements. We therefore
encourage people not to book travel or accommodation until at least
the 1st June 2021, at which point the final easing of lockdown
restrictions should be made clear.

The committee recognises that the standard of access at academic
conferences across the UK is largely unacceptable. Our team are
working to improve this, both for this BECMC 2021 and for future
conferences. Please see our website for full details about
accessibility at the conference.

If you have any questions, please email the committee on
becmc2021@contacts.bham.ac.uk.


From: Hartwig Anzt hartwig.anzt@kit.edu
Date: April 19, 2021
Subject: Scalable Data Analytics in Scientific Computing, ONLINE, Jul 2021


Scalable Data Analytics in Scientific Computing (SDASC) workshop
organized in conjunction with the ISC High Performance 2021 invites
submissions of original research.

The ever increasing importance of methods originating in statistical
inference and their growing use at large cloud computing facilities
leads both the scientific and HPC communities to look into new ways of
applying computational steering and incorporate it into their
large-scale simulations. The SDASC workshop will feature automated
data analysis efforts at the convergence of computational science,
HPC, large-scale data analytics and inference. The focus will be on
the integration of the HPC techniques and statistical learning tasks
into the modern software stack of computational science.

The submission deadline is April 29, 2021 (AoE)

The workshop will be held virtually. More details about the virtual
realization of the workshop, the inclusion of accepted papers in the
conference proceedings, and a list of topics is available at: SDASC
web site: https://sdascconf.github.io/


From: Ratnasingham Shivaji r_shivaj@uncg.edu
Date: April 18, 2021
Subject: UNC Greensboro PDE Conference, ONLINE, Jul 2021


We are excited to inform you that we are initiating a conference
series in partial differential equations. The primary objective of
this conference series is to provide a forum for researchers from
academia, industry, and laboratories world-wide to share results on
all aspects of recent advances in partial differential equations. The
overall goal of this conference series is to promote research in
mathematical and computational analysis of differential
equations. This conference series will be hosted bi-annually.

The first conference this summer will be a virtual two-day conference
on July 24-25, 2021, featuring plenary lectures by the following world
renowned experts: Douglas Arnold (University of Minnesota); Alfonso
Castro (Harvey Mudd College); Monica Clapp (The National Autonomous
University of Mexico (UNAM)); Xiaobing Feng (University of Tennessee);
Peter Polacik (University of Minnesota); Beatrice Riviere (Rice
University).

The conference will also feature several contributed sessions, and
research contributions are cordially invited for presentation. For
this first conference there is no registration fee. However, for
administrative purposes we require all participants to register (a
very quick and easy process) in order to attend the conference.

More information is available at:
https://mathstats.uncg.edu/pde-conference/.


From: Yura Malitsky y.malitsky@gmail.com
Date: April 19, 2021
Subject: Postdoc Position, Linkoping Univ, Sweden


The department of Mathematics at Linkpping University seeks
applications for a postdoc position in the area of mathematical
optimization theory with the aim of developing new techniques for
machine learning. The position is for two years within the research
group led by Dr. Oleg Burdakov and Dr. Yura Malitsky.

The application deadline is May 21, 2021.

The full job ad:
https://liu.se/en/work-at-liu/vacancies?rmpage=job&rmjob=16145&rmlang=UK

The position is funded by a national Swedish initiative within the
Wallenberg AI, Autonomous Systems and Software Program (WASP). For
more information, please visit: https://wasp-sweden.org/.


From: Anna-Karin Tornberg akto@kth.se
Date: April 21, 2021
Subject: Postdoc Position, Numerical Analysis, KTH


The Mathematics department at the Royal Institute of Technology (KTH)
in Stockholm is announcing a two-year postdoc position in Numerical
Analysis.

Deadline for application: May 10, 2021.
Starting date: Flexible, at the latest January 2022.

The project will be in the field of numerical methods based on
integral equations. For more information about the project:
https://www.kth.se/profile/akto/page/phd-students-and-postdocs-and-new-openings

For the actual ad, see
https://www.kth.se/en/om/work-at-kth/lediga-jobb/what:job/jobID:395069/type:job/where:4/apply:1


For more information, please contact Anna-Karin Tornberg, akto@kth.se.


From: Armin Eftekhari armin.eftekhari@gmail.com
Date: April 24, 2021
Subject: Postdoc Position, Optimization of High-dimensional Systems


The Department of Mathematics and Mathematical Statistics at Umea
University is seeking a postdoctoral fellow in optimization of high-
dimensional systems with applications to ambulance care. The
fellowship is for two years full-time with starting date September 1,
2021, or by agreement.

Project description: Stochastic optimization plays a key role in data
driven decision making, where problems are often high-dimensional and
of black-box nature. The focus of this project is to develop new
theory and algorithms for the area, with a potential emphasis on
stochastic derivative-free algorithms that combine dimensionality
reduction and stochastic optimization. As an application, the
applicant will interact with a multidisciplinary research team focused
on optimizing the ambulance care in Sweden. A digital twin of the
ambulance care has been developed and through large scale simulations
the performances of different resource allocations (location and
scheduling of ambulances) can be predicted. Given some economical and
practical constraints the overall aim is to find the best resource
allocation. The appointed candidate will get the opportunity to carry
out collaborative research according to a mutually agreed research
plan. The postdoc will become a part of the research group in
mathematical statistics and be offered the opportunity to present the
research at international conferences and to participate in joint
workshops and seminars. This postdoctoral fellowship is financed by
The Kempe Foundations and amounts to 312 000 SEK per year.

For more information, please visit:
https://www.umu.se/en/work-with-us/postdoctoral-scholarships/6-815-21/


From: Matt Landreman mattland@umd.edu
Date: April 23, 2021
Subject: Postdoc Position, Optimization of Stellarators, Univ of Maryland


The plasma theory & computation group at the University of Maryland
College Park is seeking a postdoctoral associate in the area of
stellarator optimization. The stellarator, a plasma confinement device
that uses magnetic fields with carefully designed shaping, is a
candidate configuration for fusion energy, as well as a general
charged particle trap. The postdoc will work to understand how the
magnetic field in a stellarator can be shaped to optimize
confinement. This interdisciplinary project involves global and
multi-objective optimization, applied to numerical solutions of the
magnetohydrodynamic (MHD) equilibrium equations. Previous experience
with stellarators is not necessary. For more information, and to
apply, visit ejobs.umd.edu/postings/82139. More information about the
group can be found at https://terpconnect.umd.edu/~mattland/. For full
consideration, applications should be submitted by the end of May 28,
2021. Contact Matt Landreman (mattland@umd.edu) with any questions.


From: Hartwig Anzt hartwig.anzt@kit.edu
Date: April 23, 2021
Subject: PhD/Postdoc Position, High Performance Computing


We have multiple open positions on the PhD/PostDoc level in the field
of numerical linear algebra, high performance computing, and high
performance computing applications. Knowledge of C++ is mandatory,
experience in sustainable software development (git, CI, unit tests,
etc.) is a plus.

We are an agile and diverse research group with backgrounds in
computer science, mathematics, and computational science, and focus on
developing algorithms and applications for the next generation
supercomputers. We put a strong emphasis on sustainable software
development and disseminate our products as open source community
software. We are involved in the German NHR initiative, the EuroHPC
initiative, and the US Exascale Computing Project. If you are
interested in doing cutting-edge research in high performance
computing, working in a collaborative software development,
experiencing an international research environment, and contributing
to prestigious national and international HPC projects, we would like
to see your application. Please send applications along with a
detailed CV to hartwig.anzt@kit.edu .


From: Heike Sill heike.sill@wias-berlin.de
Date: April 21, 2021
Subject: PhD Position, Applied Mathematics (Analysis), WIAS (Berlin)


WIAS invites applications for a PhD student position (f/m/d)
(Ref. 21/11) in the Research Group "Partial Differential Equations"
(Head: Professor Alexander Mielke) starting as soon as possible.

It is the goal of this position to explore the connection between
mechanical deformations of solids and reaction-diffusion processes via
partial differential equations. The range of problems includes
consistent modeling of this connection for specific applications
(e.g. in semiconductor theory or growth of biological tissue), the
mathematical wellposedness (existence and properties of solutions) via
functional analytical methods, and the derivation of effective models.

We are looking for candidates with a master's degree in mathematics
and a strong background in applied analysis. In particular, a very
good knowledge in the area of partial differential equations and
functional analysis is required. Prior knowledge in the calculus of
variations, continuum mechanics and/or the modeling with partial
differential equations is beneficial. A willingness to work
interdisciplinary with researchers from different fields (e.g. physics
or biology) is also desirable.

See here for more information: https://short.sg/j/9870748



From: Xavier ANTOINE xavier.antoine@univ-lorraine.fr
Date: April 19, 2021
Subject: PhD Position, Applied and Computational Mathematics


Ph.D. position "Accurate and efficient computational methods for the
HPC simulation of Bose-Einstein Condensates"

We are offering a three-years funded PhD position in applied and
computational mathematics jointly between the Institut Elie Cartan de
Lorraine (Universite de Lorraine, France) and the department of
mathematics of Sichuan University (China).

The aim of the Ph.D. thesis is to develop some new numerical methods
to simulate Bose-Einstein condensates that play a crucial role in
quantum mechanics. These numerical methods will be developped for both
stationnary states and for the dynamics of the wave function, in
dimensions 2 and 3. In particular, we will consider the
multi-components case and the integration of nonlocal nonlinear
interactions. The implementation of the methods will be made in Python
first and then integrated in the BEC2HPC parallel solver to provide
efficient methods for physics applications considered at the end of
the Ph.D thesis.

The ideal candidate has a Master Degree in applied mathematics,
computational mathematics or computational engineering/physics. The
Ph.D. position is funded for three years in an international context
since the candidate will have to spend half of his/her time between
Nancy (France) and Chengdu (China). For this reason, the candidate
must be able to speak/write english correctly.

Applications must be submited at:
http://doctorat.univ-lorraine.fr/fr/les-ecoles-doctorales/iaem/offres-de-these/methodes-numeriques-rapides-et-precises-pour-la

Please contact the two advisors for further informations: Xavier
ANTOINE (Xavier.Antoine@univ-lorraine.fr) ; Qinglin TANG
(qinglin_tang@scu.edu.cn)


From: Laurette Lauffer laurette.lauffer@kit.edu
Date: April 22, 2021
Subject: PhD Position, Numerical Analysis of Multiscale Methods, KIT


Seeking a Doctoral Researcher (f/m/d - 75 %) for the CRC 1173 doctoral
thesis project "Numerical analysis of multiscale methods". The
Collaborative Research Center "Wave phenomena - analysis and numerics"
(CRC 1173) of the Karlsruhe Institute of Technology, is currently
seeking to recruit, as soon as possible, limited to three years, a
doctoral researcher (f/m/d - 75%).

Nowadays a lot of new materials are artificially constructed and
tailored to exhibit astonishing physical properties. These
metamaterials are characterized by fine structures of different
material components. Within mathematical models, this leads to partial
differential equations with a coexistence of multiple spatial
scales. However, standard numerical methods need to resolve all fine
scales and thus have a prohibitive computational effort. Numerical
multiscale methods in turn decompose the solution into a macroscopic
and a fine-scale contribution allowing for an efficient approximation
of the macroscopic solution on coarse meshes. In the project Numerical
analysis of multiscale methods (https://www.waves.kit.edu/AP5.php), we
develop such schemes and prove a priori estimates for the
discretization error. A main objective of this project is to develop
and analyze multiscale methods for problems with nonlinearities,
random perturbations, or multiscale dynamics.

More details about the position can be found here:
https://www.waves.kit.edu/joboffers.php .

Applicants should have: Excellent Master or an equivalent degree in
Mathematics. Strong background in numerical methods for partial
differential equations and numerical analysis. Programming skills (in
MATLAB, python or C++) are beneficial. We expect good writing and
oral communication skills in English along with the ability to work
independently within an international team.

Applications should include a cover letter, a curriculum vitae, a
statement of research interest, contact information for two referees,
and copies of degree certificate(s). Please apply online via
office@waves.kit.edu until May 28, 2021. For further information,
please contact Dr. Barbara Verfurth, barbara.verfuerth@kit.edu, or Ms
Laurette Lauffer, Laurette.lauffer@kit.edu.


From: Matteo Giacomini matteo.giacomini@upc.edu
Date: April 19, 2021
Subject: PhD Positions, Computational Engineering, CIMNE Barcelona


Three fully-funded PhD positions are available in the Innovative
Algorithms for Fast Accurate Computing group
(https://www.cimne.com/3211) and the Credible data-driven models group
(https://www.cimne.com/3214/) at the International Centre for
Numerical Methods in Engineering (CIMNE) in Barcelona.

The three PhD projects belong to the framework of the strategic
programme of the Government of Catalonia for CIMNE and will cover the
following topics:
1. Scientific Machine Learning for UAVs Path Planning (Prof. Antonio
Huerta and Dr. Matteo Giacomini) - Deadline for applications: May
12th, 2021 at noon CEST (https://www.cimne.com/vnews/11255)
2. Data-driven patient-specific reduced-order models supporting
decision making in bioengineering (Prof. Pedro Diez, Dr. Berto Garcia
and Dr. Jose Felix Rodriguez-Matas) - Deadline for applications: May
31st, 2021 at noon CEST (https://www.cimne.com/vnews/11269)
3. Adaptive parameterisation in Markov chain Monte Carlo methods (Dr.
Sergio Zlotnik and Prof. J.C. Afonso) - Deadline for applications: May
31st, 2021 at noon CEST (https://www.cimne.com/vnews/11274)

The successful candidates will join CIMNE and they will enrol on a PhD
programme at Universitat Politecnica de Catalunya (UPC). The duration
of the fellowships is three years and the successful candidates will
have access to state-of-the-art research and computing facilities at
both UPC and CIMNE. CIMNE currently holds the Severo Ochoa Excellence
Award which identifies and promotes public research centres in Spain
that stand out as international references in their specialised
fields. The prospective PhD students are expected to start as soon as
possible and not later than September 2021.

Prerequisites: Strong undergraduate and MS degree (or equivalent)
record in applied mathematics, computational science and engineering
or related discipline. Knowledge of numerical methods for the
approximation of partial differential equations, with special emphasis
on the finite element method. Knowledge of reduced order models and
machine learning is not compulsory but will be considered an
advantage. Good programming skills (Matlab and/or Fortran).
Hard-working and enthusiastic attitude. Curiosity and commitment to
develop high-quality research. Good written and oral communication
skills in English.


From: Raymond Spiteri spiteri@cs.usask.ca
Date: April 22, 2021
Subject: PhD/MSc Positions, Mathematical Modelling of Arctic Lakes


Graduate student opportunities in April 2021. Integrating SWOT
Altimetry and Physics Based Modelling to monitor and predict changes
to Arctic-Boreal Lakes. Professors Philip Marsh and Roderick Melnik,
Wilfrid Laurier University, Waterloo, Ontario, Canada

We invite applications to the following MSc and PhD positions:
1. PhD. Mathematical modelling of coupled climate and hydrologic
processes for increased predictive capabilities,
2. MSc. Field studies of lake hydrological processes and variability
across the ITC, and
3. PhD. Physics based hydrologic modelling of lake dominated
watersheds along the ITC.

Position 1 will be in the Interdisciplinary Mathematical and Statistical
Modelling PhD program at Wilfrid Laurier University (Laurier). The program
is unique in Canada. This PhD position will focus on integrating physics-
based mathematical models into a unique hydrologic model platform as
required to consider the impacts of climate change, thawing permafrost,
and vegetation change on the hydrology of the Canadian Arctic. Prior
experience with CFD and high-performance computing would be
considered an advantage for this position. Positions 2 and 3 will be in the
Geography and Environmental Studies Department at Laurier. This is a
joint graduate program with the University of Waterloo and is the second
largest Geography graduate program in Canada, and the sixth largest in
North America. Through both the Modelling and Geography programs you
will find a unique combination of students, research associates, post-
doctoral fellows, and faculty exploring a wide range of research interests
through a combination of field studies, modelling, and remote sensing.
This combination will offer you a unique, challenging and stimulating
research environment. Further information on both programs is available at:
https://www.wlu.ca/programs/science/graduate/mathematical-and-statistical-modelling-phd/index.html

https://uwaterloo.ca/waterloo-laurier-graduate-program-in-geography/

Graduate students at Laurier receive competitive funding packages that
come from a combination of teaching assistantships, internal scholarships,
and research assistantships. All students are strongly encouraged to apply
for a variety of external scholarships. Students in Melnik's and Marsh's
research teams have been very successful in receiving such external
awards over the past years. Canadian applicants are strongly encouraged
to apply. Funding for Arctic field research is provided by external research
grants.
https://www.wlu.ca/academics/faculties/graduate-and-postdoctoral-studies/funding-at-
a-glance/index.html

For admission in September 2021, candidates are encouraged to contact
both Drs. Marsh and Melnik. Please submit a cover letter highlighting
relevant experience and your interest in joining our research team, a
list of courses taken and marks, and a curriculum vitae to pmarsh at
wlu.ca and rmelnik at wlu.ca with the subject line "Mathematical lake
hydrology graduate students". Applicants will be reviewed in order
they are received until successful candidates are found.


From: Hans De Sterck hans.desterck@uwaterloo.ca
Date: April 22, 2021
Subject: CFP, SISC Special Section on Multigrid Methods


Submission deadline: June 30, 2021; Special Section Editors-in-Charge:
Matthias Bolten and Hans De Sterck

Submission are invited for a Special Section of the SIAM Journal on
Scientific Computing (SISC) dedicated to recent progress in Multigrid
Methods. Attendees of the the 20th Copper Mountain Conference on
Multigrid Methods (https://grandmaster.colorado.edu/copper/2021) which
took place March 24 - April 2, 2021, as well as the general community
are invited to submit papers. Papers will be subject to review by a
guest Editorial Board.

Submissions are encouraged in all aspects of multigrid methods
including the following areas: multi-modeling and multi-scale;
algebraic multigrid; algorithm design and performance for emerging
architectures; software; parallel time integration; coupled physics
problems; structured and matrix-free methods; hierarchical low-rank
matrix decompositions; graph problems; multilevel methods for
stochastic problems; applications; machine learning and multilevel
methods.

Please submit manuscript and cover letter in PDF format on SISC's
online submission site (https://sisc.siam.org), selecting "Special
Section" and "Copper Mountain Special Section, Multigrid Methods,
2021" from the relevant dropdown boxes.

For questions about submission, please contact Mitch Chernoff
(chernoff@siam.org), SIAM Publications Manager, Brittni Holland
(holland@siam.org), Editorial Associate, or the Editors-in-Charge,
Matthias Bolten (bolten@math.uni-wuppertal.de) or Hans De Sterck
(hans.desterck@uwaterloo.ca).


From: Emily Richardson emily.richardson@oup.com
Date: April 23, 2021
Subject: Contents, IMA Journal of Numerical Analysis, 41 (2)


IMA Journal of Numerical Analysis
Links to all articles in this issue are available online at:
https://academic.oup.com/imajna/issue/41/2

An algorithm for calculating Hermite-based finite difference weights,
Bengt Fornberg

Conforming and nonconforming virtual element methods for a Krichhoff
plate contact problem, Fei Wang, Jikun Zhao

Trace operators of the bi-Laplacian and applications, Thomas Fuhrer,
Alexander Haberl, Norbert Heuer

Optimal-order error estimates of finite element approximations to
variable-order time-fractional diffusion equations without regularity
assumptions of the true solutions, Xiangcheng Zheng, Hong Wang

Randomized sketch descent methods for non-separable linearly
constrained optimization, Ion Necoara, Martin Takac

Hermite Interpolation on the unit sphere and limits of Lagrange
projectors, Phung Van Manh

A priori analysis of higher-order nonlinear elasticity model for an
atomistic chain with periodic boundary condition, Yangshuai Wang, Lei
Zhang, Hao Wang

Cubature rules from Hall-Littlewood polynomials, J F van Diejen, E
Emsiz

A convergent FV-FE shceme for stationary compressible Navier-Stokes
equations, Charlotte Perrin, Khaled Saleh

Blow-up of error estimates in time-fractional initial-boundary value
problems, Hu Chen, Martin Stynes

Variational analysis of the discontinuous Galerkin time-stepping
method for parabolic equations, Norikazu Saito

Guaranteed a posteriori error bounds for low-rank tensor approximate
solutions, Sergey Dolgov, Tomas Vejchodsky

The Euler-Maruyama scheme for SDEs with irregular drift: convergence
rates via reduction to a quadrature problem, Andreas Neuenkirch,
Michaela Szolgyenyi

Discontinuous Galerkin finite element methods for the Landau-de Gennes
minimization problem of liquid crystals, Ruma Rani Maity, Apala
Majumdar, Neela Nataraj

Symmetric pressure stabilization for equal-order finite element
approximations to the time-dependent Navier-Stokes equations, Bosco
Garcia-Archilla, Volker John, Julia Novo

Backward differentiation formula finite difference schemes for
diffusion equations with an obstacle term, Olivier Bokanowski,
Kristian Debrabant

On the complexity of an augmented Lagrangian method for nonconvex
optimization, Geovani Nunes Grapiglia, Ya-xiang Yuan

Linearization of the finite element method for gradient flows by
Newton's method, Georgios Akrivis, Buyang Li

Optimal-rate finite-element solution of Dirichlet problems in curved
domains with straight-edged tetrahedra, Vitoriano Ruas

Variational integrators for stochastic dissipative Hamiltonian
systems, Michael Kraus, Tomasz M Tyranowski

Multivariate approximation of functions on irregular domains by
weighted least-squares, Giovanni Migliorati

Contour integrals of analytic functions given on a grid in the complex
plane, Bengt Fornberg

Optimal rate of convergence for two classes of schemes to stochastic
differential equations driven by fractional Brownian motions, Jialin
Hong, Chuying Huang, Xu Wang

A high-frequency boundary element method for scattering by a class of
multiple obstacles, Andrew Gibbs, Simon N Chandler-Wilde, Stephen
Langdon, Andrea Moiola

The Hodge Laplacian on axisymmetric domains and its discretization,
Minah Oh

Convergence of a finite-volume scheme for a degenerate-singular
cross-diffusion system for biofilms, Esther S Daus, Ansgar Jungel,
Antoine Zurek

End of Digest
**************************