NA Digest, V. 23, # 7

NA Digest Tuesday, February 28, 2023 Volume 23 : Issue 7


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: Clemens Heitzinger clemens.heitzinger@tuwien.ac.at
Date: February 22, 2023
Subject: New Book, Algorithms with Julia


Algorithms with Julia by Clemens Heitzinger
Textbook, Springer, 2022
Hardcover ISBN: 978-3-031-16559-7
eBook ISBN: 978-3-031-16560-3
Number of pages: XXI, 439
DOI: https://doi.org/10.1007/978-3-031-16560-3
https://link.springer.com/book/10.1007/978-3-031-16560-3

This book provides an introduction to modern topics in scientific
computing and machine learning, using JULIA to illustrate the
efficient implementation of algorithms. In addition to covering
fundamental topics, such as optimization and solving systems of
equations, it adds to the usual canon of computational science by
including more advanced topics of practical importance. In particular,
there is a focus on partial differential equations and systems
thereof, which form the basis of many engineering
applications. Several chapters also include material on machine
learning (artificial neural networks and Bayesian estimation).

JULIA is a relatively new programming language which has been
developed with scientific and technical computing in mind. Its syntax
is similar to other languages in this area, but it has been designed
to embrace modern programming concepts. It is open source, and it
comes with a compiler and an easy-to-use package system.

Aimed at students of applied mathematics, computer science,
engineering and bioinformatics, the book assumes only a basic
knowledge of linear algebra and programming.


From: Paola Lamberti paola.lamberti@unito.it
Date: February 22, 2023
Subject: MACMAS, Italy, May 2023


We would like to inform you that the following deadlines
for MACMAS 2023 have been extended by two weeks.

Submission of title and abstract: February 28th, 2023
- NEW DEADLINE March 15th, 2023
Notification of abstract acceptance: March 10th, 2023
- NEW DEADLINE March 25th, 2023
Early Registration: March 15th, 2023
- NEW DEADLINE March 30th, 2023

For your convenience, you can find details of the conference
at http://www.macmas2023.unito.it



From: Uldis Strautins strautin@lu.lv
Date: February 23, 2023
Subject: Mathematical Modelling and Analysis, Latvia, May-Jun 2023


26th International Conference
Mathematical Modelling and Analysis (MMA2021)
May 30 - June 2, 2023, Jurmala, Latvia

The Conference focuses on various aspects of mathematical modelling
and usage of numerical methods in solving modern problems of science
and engineering. It aims, in particular, at fostering a cooperation
among practitioners and theoreticians in this field.

The Basic Topics: Analysis of numerical methods for solving problems
of mathematical physics; Application of numerical methods to
industrial and engineering problems; Inverse and Ill-Posed Problems;
Analysis and applications of ODE, DE and PDE problems; Parallel
algorithms and parallel computing; Deep learning and applications;
Scientific computation; Mathematical modelling and analysis based on
fuzzy logic; Mathematical modelling for statistics and data science;
Financial mathematics and mathematics in economics.

Registration and abstract submission: April 1, 2023.
Notification of acceptance: April 10, 2023.

Questions regarding MMA2023 should be addressed to e-mail:
mma2023@lu.lv

Information about the conference MMA2023 can be found also on the home
page at https://mma2023.wordpress.com


From: Dmitri Kvasov kvadim@dimes.unical.it
Date: February 26, 2023
Subject: NUMTA2023, Italy, Jun 2023


The 4th International Triennial Conference and Summer School
'Numerical Computations: Theory and Algorithms' (NUMTA2023:
https://www.numta.org) will be held (in hybrid format) from 14 to 20
June 2023 in Calabria, Italy, at the all-inclusive resort "Tui Magic
Life Calabria" on the Tyrrhenian coast and close to the Lamezia Terme
international airport. The Conference is organized by the University
of Calabria, Department of Computer Engineering, Modelling,
Electronics and Systems Science, Italy, in cooperation with the
Society for Industrial and Applied Mathematics (SIAM), USA.

Main topics: Numerical analysis, computational models, optimization
and machine learning, and emerging computational paradigms.

Confirmed plenary lectures and tutorials: Luigi Brugnano (Florence,
Italy), Lou D'Alotto (New York, USA), Renato De Leone (Camerino,
Italy), Kalyanmoy Deb (Michigan, USA), Hoai An Le Thi (Metz, France),
Francesca Mazzia (Bari, Italy), Panos Pardalos (Florida, USA), Witold
Pedrycz (Edmonton, Canada), Yaroslav Sergeyev (Rende, Italy), Nick
Trefethen (Oxford, UK).

Deadlines:
April 2, 2023: One-page abstract submission
April 16, 2023: Regular registration
May 21, 2023: Submission of papers for LNCS proceedings (Springer)
May 21, 2023: Late registration and Submission of applications for the
NUMTA2023 Young Researcher Prize


From: Yury Korolev ymk30@bath.ac.uk
Date: February 28, 2023
Subject: Deep Learning for Computational Physics, UK, Jul 2023


We are pleased to announce that registration is now open for the
Maths4DL Deep Learning for Computational Physics Conference, taking
place at University College London, from 4 to 6 July 2023.

Deep learning in physics represents a very active and rapidly growing
field of research. This shift in approach has already brought with it
many advances, which this conference aims to highlight. Recent
examples include PINNs, SINDy, symbolic regression, Fourier neural
operators, meta-learning, and neural ODEs to name a few. The
applications also embrace many disciplines across the scientific
spectrum, from medical sciences, to computer vision, to the physical
sciences. We believe that the next steps for machine learning require
a firm theoretical understanding and this conference will bring
together like-minded individuals to discuss current and future
research in this area.

Confirmed keynote speakers:
- Prof. Giovanni Alberti, University of Genoa
- Dr Steve Brunton, University of Washington
- Prof. Elena Celledoni, Norwegian University of Science and
Technology (NTNU)
- Asst. Prof. Sophie Langer, University of Twente
- Dr Chris Rackauckas, Massachusetts Institute of Technology (MIT)

More information can be found on the conference webpage
https://maths4dl.com/newsevents/conference-on-deep-learning-for-computational-physics/


From: Silvia Falletta silvia.falletta@polito.it
Date: February 24, 2023
Subject: PoWER2023, Italy, Jul 2023


We are pleased to announce the Workshop "PoWER2023: Propagation of
Waves, European Researchers in Turin", which will be held at the
Polytechnic of Turin, Italy, on July 26-28, 2023.

We invite you to participate. The registration is free but mandatory,
and the deadline is April 28.

For further details, including a list of speakers and registration
information, please visit our homepage at
https://sites.google.com/view/power2023turin/home or contact us at
power2023turin@gmail.com.



From: Tamas Terlaky tat208@lehigh.edu
Date: February 25, 2023
Subject: Quantum Computing & Optimization, USA, Jul-Aug 2023


We are pleased to announce that the 2023 Gene Golub SIAM Summer School
on Quantum Computing and Optimization will take place at Lehigh
University in Bethlehem, PA, USA from July 30 to August 12, 2023.
SIAMquantum.lehigh.edu

By harnessing the properties of subatomic particles, quantum computing
(QC) has the potential to radically transform our capability to solve
extremely difficult decision-making and optimization problems for
which no efficient classical algorithms exist. The goal for this
program is to help build the next generation of QC researchers by
bringing together QC and optimization experts and students in an
inquiry-based learning environment. We will provide a concentrated
review of necessary prerequisite math, optimization, and classical and
quantum computing material, and the QC-specific curriculum will focus
on: foundations of QC, quantum optimization techniques, and advanced
QC topics and applications. Students will work closely with lecturers
to apply their learning by engaging in interactive seminars and labs.

Graduate and advanced undergraduate students highly motivated to learn
QC and optimization techniques are encouraged to apply. Experience in
QC or optimization is not required to join the program. Please note
that in- person attendance is required. You can find more information
and submit applications at SIAMquantum.lehigh.edu.


From: Lars Grasedyck lgr@igpm.rwth-aachen.de
Date: February 26, 2023
Subject: Matrix Equations and Tensor Techniques, Germany, Sep 2023


On September 13--15 2023 the 10th workshop on Matrix Equations and
Tensor Techniques will be held in Aachen, Germany:
https://www.igpm.rwth-aachen.de/workshop/mett2023

Two invited talks will be given by Laura Grigori and Davide Palitta.
Submissions of abstracts for contributed talks are welcome.

There will be no conference fee and free coffee.


From: Alessio Fumagalli alessio.fumagalli@polimi.it
Date: February 23, 2023
Subject: Professor Positions, Mathematics, Politecnico di Milano, Italy


Thanks to the award of "Excellence Department" obtained from the
Italian Ministry for Universities and Research (MUR), the Department
of Mathematics, Politecnico di Milano, Italy (www.mate.polimi.it) is
seeking expressions of interest for Associate or Full Professor
(permanent position) and tenured-track positions, to be covered
starting from 2023 by outstanding scientists. Candidates in all areas
of pure and applied mathematics will be considered and are invited to
submit their files (see below). In particular, candidates with
research interests related to the topics below are particularly
welcome: mathematical analysis, functional analysis, PDEs in fluid
mechanics, elasticity, fluid-structure interactions; mathematics for
quantum mechanics with attention to its analytical, geometrical and
probabilistic features; development and analysis of differential
models (PDEs) and their numerical implementation, focusing on some
applications to sustainable development issues and biomedicine. Some
experience in scientific computing, high-performance computing, or the
application of scientific machine learning to this class of problems
is appreciated. Successful candidates will be expected to contribute
to the activities of the Department, in particular by doing: Research,
by developing/defining research projects, attracting funding, and
disseminating their results through top-level publications; Teaching,
by offering courses for approximately 120 hrs per year (this
translates to 2 courses per year) to students at the undergraduate and
graduate level; Management, by serving on committees and boards of our
university. Candidates applying for professorship must have obtained
the Italian national habilitation (ASN) for associate/full professor
(see http://abilitazione.miur.it/public/index.php for applications),
or must already hold an equivalent certified academic position.
Salary is conformal to national standards. Tax reduction may apply for
5 or more years according to the Italian rules.

Interested candidates are kindly requested to submit via the link
https://www.mate.polimi.it/forms/call_for_interest.php the following
material (one single compressed file): a curriculum vitae (maximum
length 5 pages); a complete list of publications; research statement
(maximum length 2 pages); a short letter explaining their interest in
working in Italy and, in particular, at the Department of Mathematics,
Politecnico di Milano (maximum length 1 page). Applications to be
considered should reach within April 21, 2023, 5 pm (CET time). The
official email of the procedure is call-dmat@polimi.it



From: Valeria Simoncini valeria.simoncini@unibo.it
Date: February 25, 2023
Subject: Tenure-Track Position, Numerical Analysis, Univ di Bologna


The Department of Mathematics at Alma Mater Studiorum - Universita' di
Bologna opened a call for a Senior tenure-track position (RTDb), in
the scientific area MAT/08 - Numerical Analysis.

The researcher is required to carry out research activities on topics
of interest to the Numerical Analysis research area of the Department
of Mathematics, and more precisely on numerical methods for scientific
computations, with special emphasis on stochastic or deterministic
partial differential equations.

Minimum desired Qualifications/Experience: a PhD in Mathematics or
Applied Mathematics or related area.

Open Date: 22nd Feb 2023
Close Date: : 31st March 2023 at 12:00 (noon, CEST, Italian Time)

Application procedure details can be found at
https://bandi.unibo.it/s/apos5/rif-1211-bando-per-1-posto-da-ricercatore-a-tempo-determinato-tipo-b-senior-dipartimento-di-matematica-mat-ssd-mat-08


From: Human Resources Office, Hong Kong Baptist University recruit@hkbu.edu.hk
Date: February 23, 2023
Subject: Associate/Assistant/Professor Position, Hong Kong Baptist Univ


Hong Kong Baptist University
FACULTY OF SCIENCE, Department of Mathematics
Professor / Associate Professor / Assistant Professor (PR0015/21-22)

The Department invites applications for a tenure-track faculty vacancy
at the Professor/Associate Professor/Assistant Professor rank
specialising in applied/computational mathematics, especially with
numerical partial differential equations and scientific computing, or
an area which complements the Department's research profile.
Applicants should possess a relevant PhD degree with solid track
record in research. Teaching experience is preferred. They are
expected to be energetic and motivated and have strong commitment in
teaching. They will also actively participate in current research and
teaching programmes of the Department and be able to support its
independent research with external research grants. 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 of up to three years. Re-appointment thereafter
will be subject to mutual agreement. Rank and salary will be
commensurate with qualifications and experience.

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. They should also request two referees to send in
confidential letters of reference, with PR number (stated above)
quoted on the letters, to the Human Resources Office (Email:
recruit@hkbu.edu.hk) direct. Those not invited for interview 4 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://hro.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: Until the position is filled


From: Jeff Banks banksj3@rpi.edu
Date: February 27, 2023
Subject: Postdoc Position, Scientific Computing, RPI, USA


The Scientific Computation Research Center (www.scorec.rpi.edu), in
collaboration with the Department of Mathematical Sciences at
Rensselaer, is seeking a highly motivated individual to develop new
efficient algorithms and simulation techniques for application to
space weather prediction.

Interested applicants can view the job posting directly at
https://www.mathjobs.org/jobs?joblist-1040-20487


From: Tiago Pereira tiago@icmc.usp.br
Date: February 27, 2023
Subject: Postdoc Position, Univ de Sao Paulo


Post-doc Position in Applied Industrial Mathematical Modelling and
Computational Mathematics. The Center for Mathematical Sciences
Applied to Industry (CEPID- CeMEAI) has a post-doc position
available. The requirements are described below. The salary is
R$8.479,20 per month tax free. The appointed Post-doc can also get
return travel from his/her country to Brazil paid by the grant. The
positions are initially for one year, renewable for a second year
pending on suitable performance.

Post-Doctoral Research Project
University of Sao Paulo at Sao Carlos
ICMC - Department of Applied Mathematics and Statistics
Location: Sao Carlos - Sao Paulo State- Brazil
Title: Normal Forms and Sparse Reconstruction for Networks
Supervisor: Tiago Pereira

Job description/Requirements: A network encodes a structure of
individual units (the nodes), together with the information of how
these units depend on each other. We project focus on qualitative
changes in the dynamics of networks as one or more parameters
vary. One can, for example, think about the emergence of steady state
points or periodic orbits, or the phenomenon whereby multiple cells in
a network start displaying identical dynamical behaviour
(synchronisation). Due to the nature of network structures, the
symmetries are often more "exotic" than compact groups; equivariance
of a dynamical system will often mean with respect to the action of a
finite monoid (i.e. a group without inverses) and the representations
in question will often be of semigroups. The project deals with such
normal form reduction to understand how collective dynamics appear
with such systems. When data is collected from such networks recent
evidence suggest that if one aims to enforce sparsity of the
reconstruction only the normal form of the network can be
recovered. In this case, the normal form may be a hypergraph instead
of a network. This project envision to classify these reconstruction
scenarios. The successful applicant will participate of a
collaborative effort being developed by the Brazilian team headed by
Prof. Tiago Pereira. A doctoral degree in Applied Mathematics,
Engineering or a related area is required, together with strong
background on dynamical reduction techniques, such as normal form
theory, Lyapunov-Smith reduction and center manifold
reduction. Candidates with proven skills in performing independent
scientific research and in programming for high performance computing
environments will be preferred. Interested candidates should e-mail a
CV and two letters of recommendation from university professors before
March 29th to tiago@icmc.usp.br Contract Condition: Grant from FAPESP
under the Research, Innovation and Dissemination Centers (RIDC-CeMEAI)
(http://www.fapesp.br/en/17,http://www.cemeai.icmc.usp.br/)


From: Brigitte Eller brigitte.eller@uibk.ac.at
Date: February 23, 2023
Subject: Postdoc Position, Univ of Innsbruck


I am looking to fill a Postdoc position in the Numerical Analysis and
Scientific computing group (https://www.uibk.ac.at/mathematik/na/) at
the University of Innsbruck. The successful applicant will be employed
for a duration of three years with the possibility to extend the
contract for another three years (the salary is 4352 EUR brutto 14
times a year). He/she is expected to conduct research in the field of
numerics of partial differential equations, complexity reduction, and
scientific computing. In particular, I am looking for an applicant
willing to work closely with the group on dynamical low-rank
approximation and kinetic equations. Good programming skills are
necessary for the position and skills in C++ and high-performance
computing technologies (such as OpenMP, MPI, CUDA, ...) are welcome.

Potential applications are encouraged to directly contact Lukas
Einkemmer (lukas.einkemmer@uibk.ac.at). More information on submitting
an application and the legally binding call can be found at
https://lfuonline.uibk.ac.at/public/karriereportal.details?asg_id_in=3D13360.

The deadline is the 10th of March.


From: Gaspard Kemlin gaspard.kemlin@ians.uni-stuttgart.de
Date: February 23, 2023
Subject: PhD/Postdoc Position, NA for DFT, Stuttgart Univ, Germany


A position as PhD or Postdoc researcher in numerical analysis for
density functional theory is available at Stuttgart University,
Germany.

Starting date is 01.06.2023 or later and the position is for 3 years.

The project deals with certified a posteriori error estimations of
nonlinear eigenvalue problems arising in density functional theory
(DFT) of electronic structure calculation. The goal is to provide
guaranteed bounds of the error between the approximate energy and the
exact energy.

DFT models are dominantly solved using the so-called Self-Consistent
Field (SCF) iterations where a linear eigenvalue problem is solved at
each step within the SCF-iterative procedure. The estimator will be
designed such that each error component of the total error can be
quantified, namely the discretization error due to the planewave
discretization, the iteration error due to the non-converged SCF
iterations, and the error due to the iterative solver of the linear
eigenvalue problems. This splitting allows the design of an adaptive
algorithm with error balancing between the different error sources.
The estimator will be a guaranteed upper bound of the error for convex
DFT-models and the final goal will be the extension to non-convex
models. The developed methods and estimators will be implemented and
tested in the open-source DFTK software package, written in Julia.

For further details and applications :
https://careers.uni-stuttgart.de/job/Stuttgart-PhD-or-PostDoc-position-A-posteriori-error-estimates-for-Density-Functional-Theory/935519155/


From: Nicolas Gillis nicolas.gillis@umons.ac.be
Date: February 22, 2023
Subject: PhD/Postdoc Positions, Beyond Low-Rank Factorizations, Univ of Mons


The research group of Nicolas Gillis at the University of Mons
(Belgium) is seeking highly qualified candidates for doctoral and
postdoctoral positions funded by the European Research Council (ERC).

This project, entitled Beyond Low-Rank Factorizations (eLinoR),
focuses on the theory, algorithms and applications of low-dimensional
representations of high-dimensional data based on generalizations of
low-rank matrix factorizations; see
https://sites.google.com/site/nicolasgillis/projects/erc-cons for a
description of the project and the objectives. The successful
candidate will have the flexibility to choose a topic within the range
of this project.

Your profile is a MSc/PhD in applied mathematics, mathematics,
computer science, or a related discipline. You should have an
expertise in at least one of these fields: optimization, computational
complexity, numerical linear algebra, data mining and machine
learning, signal processing. You should also have excellent
programming skills in a numerical language (such as MATLAB, Python or
Julia), and good communications skills, both written and oral, in
English.

Applications are collected until the 15th of May 2023, last limit to
have full consideration. The positions remain open until they are
filled. Please see
https://sites.google.com/site/nicolasgillis/coloramap/open-positions


From: Simon Praetorius simon.praetorius@tu-dresden.de
Date: February 26, 2023
Subject: PhD Position, NA/Scientific Computing, TU Dresden, Germany


The Faculty of Mathematics at TU Dresden is inviting applications for
a Research Associate/PhD Student position to work on vector and
tensor-valued PDEs on surfaces. The position is embedded in a DFG
Research Unit (FOR3013) and will be jointly supervised by Dr. Hanne
Hardering from the Institute of Numerical Mathematics and Dr. Simon
Praetorius from the Institute of Scientific Computing. The position
comprises 75% of the full-time weekly hours, is limited to three
years, and offers the opportunity to obtain further academic
qualifications, such as a PhD.

The successful candidate will be responsible for conducting numerical
analysis and implementing simulations using finite element schemes for
vector fields on surfaces that are subject to additional geometric
constraints. The candidate should have a university degree in
mathematics, experience in programming (preferably C++ or Python), and
a sound knowledge of the theory and application of finite element
methods. Additionally, the position offers the chance to participate
in joint seminars, workshops, and other activities.

TUD strives to employ more women in academia and research. We
therefore expressly encourage women to apply. The University is a
certified family-friendly university and offers a Dual Career Service.
We welcome applications from candidates with disabilities. If multiple
candidates prove to be equally qualified, those with disabilities or
with equivalent status pursuant to the German Social Code IX (SGB IX)
will receive priority for employment.

For further details, please visit https://tud.link/2fgn.


From: Michele Benzi michele.benzi@sns.it
Date: February 26, 2023
Subject: PhD Positions, Scuola Normale Superiore, Italy


Seven PhD fellowships are available at SNS for students interested in
pursuing a PhD degree in Computational Methods and Mathematical
Modeling for the Sciences and Finance. Areas of specialization include
Numerical Analysis and Scientific Computing, Quantitative Finance,
StochasticAnalysis, and Computational Physics/Chemistry/Biology.

The application deadline is April 13, 2023; start date is November 1,
2023.

For application information, please see
https://www.sns.it/en/phd-admission-competition/phd-calls

Further information about the PhD program is available at
https://www.sns.it/en/computational-methods-and-mathematical-models-sciences-and-finance-phd-programme


From: Communications on Applied Mathematics and Computation camc@oa.shu.edu.cn
Date: February 23, 2023
Subject: Contents, Communications on Applied Mathematics and Computation, 5(1), 2023


Communications on Applied Mathematics and Computation
Volume 5, Number 1, March 2023
https://www.springer.com/journal/42967

Preface to the Focused Issue on WENO Schemes, Sigal Gottlieb, Jan
S. Hesthaven, Jianxian Qiu, Chi-Wang Shu, Qiang Zhang, Yong-Tao Zhang

A New Sixth-Order WENO Scheme for Solving Hyperbolic Conservation
Laws, Kunlei Zhao, Yulong Du, Li Yuan

High-Order Bound-Preserving Finite Difference Methods for Multispecies
and Multireaction Detonations, Jie Du, Yang Yang

New Finite Difference Mapped WENO Schemes with Increasingly High Order
of Accuracy, Jun Zhu, Jianxian Qiu

A GPU-Accelerated Mixed-Precision WENO Method for Extremal Black Hole
and Gravitational Wave Physics Computations, Scott E. Field, Sigal
Gottlieb, Zachary J. Grant, Leah F. Isherwood, Gaurav Khanna

High-Order Semi-Lagrangian WENO Schemes Based on Non-polynomial Space
for the Vlasov Equation, Andrew Christlieb, Matthew Link, Hyoseon
Yang, Ruimeng Chang

One- and Multi-dimensional CWENOZ Reconstructions for Implementing
Boundary Conditions Without Ghost Cells, M. Semplice, E. Travaglia,
G. Puppo

A High-Order Semi-Lagrangian Finite Difference Method for Nonlinear
Vlasov and BGK Models, Linjin Li, Jingmei Qiu, Giovanni Russo

A New Hybrid WENO Scheme with the High-Frequency Region for Hyperbolic
Conservation Laws, Yifei Wan, Yinhua Xia

Curl Constraint-Preserving Reconstruction and the Guidance it Gives
for Mimetic Scheme Design, Dinshaw S. Balsara, Roger Kappeli, Walter
Boscheri, Michael Dumbser

Fifth-Order A-WENO Schemes Based on the Adaptive Diffusion
Central-Upwind Rankine-Hugoniot Fluxes, Bao-Shan Wang, Wai Sun Don,
Alexander Kurganov, Yongle Liu

A Fourth-Order Unstructured NURBS-Enhanced Finite Volume WENO Scheme
for Steady Euler Equations in Curved Geometries, Xucheng Meng, Yaguang
Gu, Guanghui Hu

Quinpi: Integrating Conservation Laws with CWENO Implicit Methods,
G. Puppo, M. Semplice, G. Visconti

A Combination of Residual Distribution and the Active Flux
Formulations or a New Class of Schemes That Can Combine Several
Writings of the Same Hyperbolic Problem: Application to the 1D Euler
Equations, R. Abgrall

A Fixed-Point Fast Sweeping WENO Method with Inverse Lax-Wendroff
Boundary Treatment for Steady State of Hyperbolic Conservation Laws
Liang Li, Jun Zhu, Chi-Wang Shu, Yong-Tao Zhang

Efficient WENO-Based Prolongation Strategies for Divergence-Preserving
Vector Fields, Dinshaw S. Balsara, Saurav Samantaray, Sethupathy
Subramanian

High Order Finite Difference WENO Methods for Shallow Water Equations
on Curvilinear Meshes, Zepeng Liu, Yan Jiang, Mengping Zhang, Qingyuan
Liu

End of Digest