NA Digest, V. 19, # 38

NA Digest Sunday, October 06, 2019 Volume 19 : Issue 38

Today's Editor:

Daniel M. Dunlavy
Sandia National Labs

Today's Topics: Subscribe, unsubscribe, change address, or for na-digest archives:

Submissions for NA Digest:

From: Heike Fassbender
Date: September 30, 2019
Subject: Correction, Call for Proposals to Organize 2023 Householder Symposium

Unfortunately, in the last post concerning the call for proposals to
organize the 2023 Householder Symposium there was a typo in the
URL. The correct URL can be found below.

The Householder Committee seeks a team to organize the 2023
Householder Symposium on Numerical Linear Algebra. The deadline for
submitting a proposal is 1 April 2020.

Guidelines for preparing a proposal and a link for uploding the
proposal can be found at:

Additional questions can be sent to: Heike Fassbender
( Chair, Householder Committee

Please note: Proposals by professional congress and convention bureaus
will not be considered. No contact information about local members of
our community will be provided.

From: Min Hadler
Date: September 30, 2019
Subject: Eurasian Association on Inverse Problems (EAIP) Young Scientist Award

Nominations for the EAIP Young Scientist Award are open

The Eurasian Association on Inverse Problems (EAIP) Young Scientist
Award is awarded to young scientists under the age of 40 at the time
of the "Inverse Problems: Modeling and Simulation" conference, May,
24th - May, 30th, 2020 in Malta.

The EAIP Young Scientist Award recognizes outstanding achievements in
inverse problems analysis and its applications.

Candidates for the awards may be nominated by their organizations as
well as may apply themselves. Nomination materials (Cover Letter and
CV including a complete list of publications) should be submitted via
email to the Conference Secretariat ( with a
CC to Otmar Scherzer ( The deadline for
nominations is March, 23rd, 2020.

From: Michael Bader
Date: October 02, 2019
Subject: Release of the ExaHyPE engine for solving hyperbolic PDE systems

Release of the ExaHyPE engine for solving hyperbolic PDE systems -

ExaHyPE is an open source simulation engine to solve hyperbolic PDE
systems using high-order ADER-DG discretisation. It is built on top of
dynamically adaptive meshes and a customisation engine to yield
efficient parallel code. ExaHyPE is written in a way that most
computer science aspects as well as most of the numerics are hidden
away from the user. Users plug in their PDE formulation (as flux and
eigenvalues) into the engine and then delegate all further work to

Snapshots of the engine source code can be downloaded from Access to the engine repository is granted after
registration on the website. The engine comes with a User Guide and
several reference examples.

For details on the engine, see our preprint article on

From: Svetozar Margenov
Date: October 02, 2019
Subject: Solution Methods for Fractional PDEs, Bulgaria, Jun 2020

The International Workshop "Numerical Solution of Fractional
Differential Equations and Applications" (NSFDE&A'20) will take place
in June 8 - 13, 2020, Sozopol, Bulgaria:

Organizer: The workshop is organized by the Institute of Information
and Communication Technologies, Bulgarian Academy of Sciences, in
cooperation with the Bulgarian Section of SIAM, and the Center of
Excellence on Informatics and ICT.

Place: The NSFDE&A'20 will be held in Sozopol (ancient Apolonia), a
picturesque town on the Black Sea coast, 33 km to the south from
Bourgas. The Bourgas International Airport is less than 50 km to the
north from Sozopol.

Scope: Specific topics of interest (but not limited to) are the
following: (i)fractional in space diffusion problems;(ii) fractional
in time problems; (iii) problems involving p-Laplacian; (iv) coupled
problems; (v) phase separation and image segmentation; (vi) parallel
algorithms and HPC tools; (vii) applications in science and

Conference chairman: Svetozar Margenov
Conference secretary: Silvia Grozdanova

From: Stefan Wild
Date: October 04, 2019
Subject: Minitutorial Deadline, SIAM CSE21, USA, Mar 2021

SIAM is seeking proposals for minitutorials to be conducted at the
SIAM Conference on Computational Science and Engineering (CSE21),
March 1-5, 2021 in Ft. Worth, TX, USA.

A minitutorial offers attendees a great opportunity to learn in a
hands-on fashion from experts, and is a good way to raise the
visibility of new projects and topics. Subjects of recent
minitutorials at SIAM CSE have included numerical libraries (libMesh,
PETSc, PRIMME), simulation tools (Firedrake, MOOSe), as well as
general productivity tools and best practices (git, licenses,
productivity & sustainability, etc.). Proposals are encouraged for
minitutorials on any topic relevant to research in computational
science and engineering. Suggested areas include the themes listed at

For additional details and to submit a proposal, please go to . The deadline for submission is
December 13, 2019.

For questions, please contact Richard Moore , SIAM Director of
Programs and Services. Sincerely, The SIAM CSE21 Organizing Committee

From: Vanessa Peinhart
Date: October 02, 2019
Subject: Professor Position, Algebra, Univ of Graz

At the Institute of Mathematics and Scientific Computing at the
Faculty of Natural Sciences, the University of Graz is seeking to
appoint a Professor of Algebra (40 hours per week; selection procedure
in accordance with Section 99 (1) of the Universities Act (UG);
fixed-term employment according to the Salaried Employees Act (AngG)
until 30.09.2023; expected starting date December 1st 2019; Substitute
worker). The future post holder should represent the field of algebra
in research and teaching and be internationally recognised by
outstanding research results. We are looking for a personality with a
research focus on a current branch of algebra who will be able to
connect with the existing research group 'Algebra and Number Theory'
at the Institute of Mathematics and Scientific Computing.

The successful candidate is expected to participate appropriately in
the teaching functions of the institute. In particular, it is
necessary to contribute to the teacher training programme and in the
master's programm 'Mathematics', which is jointly organised with the
Graz Universiy of Technology.

Application deadline: November 6th 2019
Reference number: VV/13/99 ex 2018/19

Your application documents should include the reference number of the
position and be sent by email to:

See also: .

From: Marcus Sarkis
Date: October 03, 2019
Subject: Tenure Track Assistant/Associate Professor Position, Applied Math, WPI

The Department of Mathematical Sciences at Worcester Polytechnic
Institute invites applications for a tenure-track position at the
assistant or associate professor level, to begin in the Fall of
2020. We seek candidates in all areas of Applied Mathematics, in its
broadest interpretation, whose research interests are a good fit with
the department. A list of current faculty, along with their research
areas can be found at

The successful applicant is expected to develop a robust, externally
funded, high-profile research program, while at the same time
contributing to the educational mission of the Mathematical Sciences
Department. Applicants should have a Ph.D. in Mathematics, or a
closely related field, and should submit a cover letter that explains
how they see their research fitting with the department, a detailed
curriculum vitae, statements of specific research and teaching
objectives, and at least four letters of recommendation, one or more
of which addresses teaching experience or potential. All material
should be submitted via MathJobs. Questions about the mathematical
sciences department can be directed to The review
process will start on November 1, 2019 and will continue until the
position is filled.

We are an Equal Opportunity Employer and do not discriminate against
applicants due to race, color, religion, age, sex, sexual orientation,
gender identity, national origin, veteran status or disability. We are
looking for individuals who value creativity, diversity, inclusion,
and collaboration.

Marcus Sarkis, Professor
Mathematical Sciences Department
Worcester Polytechnic Institute
100 Institute Road
Worcester, MA 01609-2280
E-mail: msarkis at wpi dot edu

From: Bryan Quaife
Date: October 01, 2019
Subject: Tenure-Track Position, Scientific Computing, Florida State Univ

The Department of Scientific Computing is seeking a Full time
Tenure-track 9-month Faculty appointment beginning August
2020. Academic year requirements include teaching, research and
service. The Department is seeking candidates with a doctoral degree
from an accredited institution or the highest degree appropriate in
the field of Computational Science, Computer Science, Mathematics,
Statistics, or a related field with a demonstrated record of
achievement in teaching, academic research, and service. Preferred
applicant would possess a high potential for establishing a funded
program of interdisciplinary research in data science/machine
learning, broadly interpreted. In particular, the candidate should
have knowledge and experience in some combination of deep learning,
Bayesian statistical inference, probabilistic modeling, or
optimization, applied to one or more applications such as natural
language processing, image processing, and the material, chemical,
physical, biological, and social sciences. If qualified and
interested in a specific Faculty job opening as advertised, apply to
Florida State University at Job Opening ID
46364. If you are a current FSU employee, apply via myFSU > Self
Service. Applicants are required to complete the online application
with all applicable information. Applications must include education
details even if attaching a Vita. Please submit your cover letter,
CV, statements of teaching philosophy, research, and service as a
single PDF. Application Deadline will be December 16th with
anticipated start beginning Fall Semester 2020. Committee will begin
reviewing applications October 15, 2019.

This position requires that you have four confidential professional
letters of recommendation submitted on your behalf. Follow the steps
below to request these letters through our system: 1) After submitting
your application, click the Return to Job Search link; 2) Click the My
References link; 3) Click the Send/View Reference Request button next
to the appropriate position; and 4) Follow the steps on that page to
send your references a system generated email requesting they submit a
letter of recommendation on your behalf.

You may also return to the My References link and click on "Send/View
Reference Request" to see if your references have responded, add
additional references, or resend requests.

Job aid for the Letters of Recommendation module:

An Equal Opportunity/Access/Affirmative Action/Pro Disabled & Veteran
Employer. FSU's Equal Opportunity Statement can be viewed at:

Questions may be directed to Dr. Xiaoqiang Wang, at

From: John Pearson
Date: October 02, 2019
Subject: Lectureship Position, Applied & Computational Mathematics, Univ Edinburgh

Lectureship positions in Applied and Computational Mathematics are
open at the University of Edinburgh for a start on 1 July 2020 or
earlier by agreement. We are seeking candidates with a track record of
high-quality research in areas relating to mathematical modelling
and/or computational mathematics. Links to industry or commerce and/or
the ability to engage with multidisciplinary partners are
desirable. As well as carrying out high- quality research, the
successful candidate will contribute to the teaching of undergraduate
and postgraduate courses, and to the development of the MAC-MIGS
Centre for Doctoral Training. See for
details. Deadline is 05/11/2019 at 5 pm GMT.

From: Jodi Mead
Date: October 01, 2019
Subject: Assistant Professor Position, Comp Applied Statistics/Mathematics, Boise State

The Department of Mathematics at Boise State University invites
applications for a tenure-track position in computational applied
statistics or mathematics at the rank of assistant professor starting
in fall 2020. Applicants should have strong research potential in
statistical computing, optimization, numerical linear algebra or
related field with connections to data-driven applications.

Boise State's innovative transdisciplinary approach to research and
education has driven its success as a metropolitan research university
of distinction. Mathematics in particular leads data science efforts
at both the undergraduate and graduate levels. Boise, Idaho is ranked
by US News as the 4th safest city in the United States. It has a
vibrant downtown, abundant recreational opportunities, pleasant
weather, and the Milken Institute ranks it as the 12th best performing
economy in the US.

If you are interested in this position, materials must be submitted
electronically via and Boise State's
application system by November 30th.

From: Naoki Saito
Date: September 30, 2019
Subject: Assistant Professor & Postdoc Position, Univ of California, Davis

The Department of Mathematics at the University of California, Davis,
and the UC Davis TETRAPODS Institute of Data Science (UCD4IDS), funded
by the NSF HDR TRIPODS grant, are soliciting applications for the
Arthur J. Krener Assistant Professor / UCD4IDS research postdoc
position starting July 1, 2020.

The Department and the Institute seek applicants who demonstrate
promise and the capability of developing cutting edge computational,
mathematical, and/or statistical methodology pertaining to modern
areas of data science that involve large and complex data, as well as
effective teaching skills. In particular, those candidates whose
research interests are in the following three broad themes of the
Institute are strongly encouraged to apply:
1) Fundamentals of machine learning directed toward biological and
medical applications;
2) Optimization theory and algorithms for machine learning including
numerical solvers for large-scale nontrivial learning problems;
3) High-dimensional data analysis on graphs and networks.

Applicants are required to have completed their Ph.D. by the time of
their appointment, but no earlier than July 1, 2016. The annual
salary is $70,100. Appointments are renewable for a total of up to
three years, upon demonstration of satisfactory performance in
research and teaching. The teaching load is 2 quarter-long courses for
the first two years, and 4 quarter-long courses for the final third
year. Applications include: Cover Letter, CV, Research Statement,
Teaching Statement, Letters of Reference including a letter which
addresses teaching, and an optional Statement of Contributions to

Additional information about the department may be found at

Applications will be accepted until the position is filled. To
guarantee full consideration, the application should be received by
November 30, 2019. The application is available through UCRecruit at

The University of California, Davis, is an affirmative action/equal
opportunity employer with a strong institutional commitment to the
achievement of diversity among its faculty and staff.

From: Anders Petersson
Date: October 04, 2019
Subject: Postdoc Position, Quantum Control, Lawrence Livermore National Lab

We have an opening for a postdoctoral researcher in the area of
high-performance computing (HPC) for quantum optimal control and
characterization. You will be part of an interdisciplinary team that
develops HPC solvers for the Schrodinger and Lindblad equations to be
used within optimization algorithms. These solvers will be used to
determine signals for controlling and characterizing the next
generation of quantum computing hardware. We are looking for
exceptional candidates with a strong background in numerical linear
algebra, differential equations, numerical optimization, and C++
programming. For further information, please visit:

This position is within the Computing Directorate, Center for Applied
Scientific Computing (CASC) Division.

From: Jose A Cuminato
Date: October 02, 2019
Subject: Postdoc Position, Sao Carlos, Brazil

The Research Project Coordinated by Prof. Francisco Louzada Neto,
funded by ANP/Petrobras, seeks a Postdoc candidate with an engineering
degree in the areas of Mechanics, Mechatronics or Electrical, and a
doctorate in the areas of Finite Elements and/or Thermofluidodynamics.
Familiarity with two-phase flows and OpenFOAM-like computer packages
will be greatly appreciated. The work to be carried out in Sao Carlos-
Brazil, is a joint appointment at the Institute of Mathematical and
Computer Sciences and the School of Engineering of University of Sao
Paulo, involves simulating the operation of valves, fluid-structure
interaction and thermo-fluid-dynamics for oil pipelines hydrate and
paraffin melting. These simulations will be used by the risk analysis
team to predict defects in duct clearance equipment and leak
containment valves. The scholarship, with a duration of one year,
renewable annually for two more, depending on performance
analysis. Air travel to and from Brazil will be provided for non-
residents. The contract is expected to begin at 01/01/2020, or earlier
if the candidate is available. To apply send Curriculum Vitae and
access to the doctoral thesis to Prof. Oscar Rodriguez from EESC Sao
Carlos until 30/10/2019. Email

From: Simon Funke
Date: October 06, 2019
Subject: Postdoc Position, Scientific Computing and Machine Learning, Simula, Norway

At Simula, we are a hotbed of Information and Communication Technology
innovators. Introverts and extroverts alike, we are curious searchers
- thinkers and doers, who share one ambitious goal: to create
knowledge that truly benefits and advances society. Knowledge that
moves us forward and makes us - all of us - stronger. Healthier.
Safer. Better.

We are searching for a highly motivated candidate with a strong
background in computational science (mathematics/physics) and a
passion to work on the intersection between scientific computing and
machine learning.

The 3-year Postdoctoral position is part of the SciML - Scientific
Computing & Machine Learning project, a collaborative initiative
between the Simula Research Laboratory and Department of Mathematics
UiO. The initiative aims to bridge numerical algorithms developed for
solving partial differential equations with recent techniques in
machine learning, in order to both increase the flexibility of
traditional numerical algorithms (such as finite element methods and
multigrid techniques) and also to increase robustness for neural
networks. Applications in focus are for example recent medical
findings relating development of Alzheimer's disease. The fluid
dynamical clearance of metabolic waste during sleep.

More information and application instructions can be found at:

From: Francisco Louzada
Date: October 04, 2019
Subject: Postdoc Position, Statistics, Sao Carlos, Brazil

The Research, Innovation and Dissemination Center for Mathematical
Sciences Applied to Industry (CeMEAI), hosted by the University of Sao
Paulo, Brazil, and funded by FAPESP (Sao Paulo Research Foundation,
Brazil) is offering a 1-year post-doctoral fellowship for candidates
with outstanding research potential.

This position is focused on the study of posteriori properties in
Bayesian regression models and applications in large and complex
industrial and medical data. The fellow will work under the direction
of Professor Francisco Louzada in the Institute of Mathematical
Science and Computing at the University of Sao Paulo, Sao Carlos,

Applicants must have received, or expect to complete, a doctorate in
Mathematics, Statistics or related discipline within the last 5 years.
Selection criteria will include demonstrated research ability in
Mathematics, Statistics or related discipline, a strong background in
real analysis, integration in R^n, measure, Bayesian methodology and
computation, experience with analysis of datasets, commitment to
collaborative research, and excellent verbal and written communication
skills. It is also desirable that the candidate has previous
experience working in a multidisciplinary research group and has
collaborated on research projects with companies or governmental

To apply please E-mail (only PDF files) the following items to
Professor Francisco Louzada at until 3rd November
2019: 1. A letter of interest, containing full contact information,
year graduated and citizenship/immigration status, concisely
responding to the research emphases and criteria above; 2. A CV
listing educational background, research experience and publications;
3. A cover letter including names and contact information for three
references (no letters please).

Please indicate "CEPID Postdoc" in the subject field of the message.

From: Dimitris Giannakis
Date: October 05, 2019
Subject: Postdoc Positions, Sea ice modeling, NYU Courant Institute

New York University's Courant Institute is seeking up to two
postdoctoral researchers to work within a new multi-institution
initiative on "Mathematics and Data Science for Improved Physical
Modeling and Prediction of Arctic Sea Ice'' funded by the Office of
Naval Research
( The positions
are jointly supervised by Dimitris Giannakis, Andrew Majda, and Georg
Stadler, but will involve collaboration with project participants at
Caltech, University of Washington, University of Wisconsin-Madison,
and Yale. The role of the postdocs is to study fundamental
mathematical aspects and data science for subgrid-scale modeling of
Lagrangian sea ice dynamics. Applicants with a background in
computational and applied mathematics, data science, and sea ice
modeling are encouraged to apply.

The postdoc positions come with no teaching requirement (although
teaching is available as an option), and have a flexible start
date. The initial appointment will be for two years, with the
possibility of an extension depending on performance and
funding. Applications submitted before November 30, 2019 will receive
full consideration, but the search will remain open until the
positions are filled. Please contact for more

Apply via Interfolio at .

From: Jörn Sesterhenn
Date: October 05, 2019
Subject: PhD or PostDoc Position, Data Assimilation, Univ of Bayreuth

At the Chair of Mechanics and Fuidmechanics of the University of
Bayreuth several positions (100%, German TV-L E13) are available for
Postdoctoral Researchers as well as for students holding a Master's
degree who want to pursue a PhD.

The subject will be data assimilation of PIV, Schlieren and acoustic
experiments of compressible jets at moderate Reynolds numbers. The
research will be based on our own DNS and adjoint solver (Fortran)
. Experiments will we done in-house using High-Speed Cameras and
Highspeed PIV in an anechoic room.

Candidates should have expertise in at least one of the following
- numerical analysis for compressible flows
- adjoint/convex optimisation
- computational aeroacoustics

Candidates should have experience in coding mathematical algorithms in
Fortran, Julia or Matlab. Applications including CV, list of
publications (if applicable), copies of certificates, a summary of the
Master's thesis and of the PhD thesis (if applicable) and names of
potential references should be sent by email as a single PDF file to The positions are available
immediately, applications are considered until the position is
filled. Further information on my former website

From: Daniel Ruprecht
Date: October 04, 2019
Subject: PhD Position, Computational Mathematics, Hamburg Univ of Technology

A 4-year PhD position in Computational Mathematics is available at
Hamburg University of Technology, Germany. Its focus is the
development of a new numerical time stepping algorithm for computer
simulations of atmospheric flows. Please visit the following link for
details and to apply

Candidates are expected to have a university degree in a relevant
subject, excellent knowledge of numerical mathematics and programming
experience. The deadline for applications is 21 October 2019.

From: Jesse Laeuchli
Date: October 05, 2019
Subject: PhD Position, Linear Algebra and Graph Theory for Cyber

PhD Position-Deakin University- Centre for Cyber Security Research and

The Centre for Cyber Security Research and Innovation (CSRI) at Deakin
University is seeking applicants for a PhD position. The project aims
to investigate the mathematics needed to build the next generation of
network analytics that must operate on the massive datasets generated
by modern networks. The proposed research will bring together themes
from numerical linear algebra, graph theory, and cyber security. The
successful applicant will have a background in mathematics or
theoretical computer science. A master's degree is preferred but
strong applicants with a bachelor's degree with honours will be
considered. The appointment will be for three years and carries a
salary of $27,596 AUD per annum (tax exempt). This base stipend rate
is increased annually by Consumer Price Index (CPI) as determined by
the Australian Government. Top-up scholarships for an amount of $10K
to $23K per annum will be available for exceptional applicants.

The position is located at Deakin University's Burwood campus in
Melbourne, which has consistently been rated as one of the most
liveable cities in the world. Members of Deakin's CSRI work closely
with members of Deakin's math and computer science departments to
produce interdisciplinary approaches to challenges in cyber security.

To apply please contact Dr. Jesse Laeuchli
with a CV, a transcript, and a short statement of interest.

From: Guanglian Li
Date: October 05, 2019
Subject: PhD Position, NA and Simulation, Univ of Groningen, Netherlands

I am currently recruiting one 4-year PhD student based at Bernoulli
Institute, University of Groningen, Netherlands. The applicant should
have an MSc degree (or equivalent) in Applied/Computational
Mathematics. The candidate has to possess excellent communication
skills in English, programming skills and basic knowledge on numerical
analysis and PDEs. More details on the job description can be found:

Please contact Dr. Guanglian Li at if you are

From: Dr Jemma SHipton
Date: October 04, 2019
Subject: PhD Position, Numerical Modelling of Weather & Climate, Univ of Exeter

Applications are open for a 3.5yr, funded PhD project at the
University of Exeter, in collaboration with the UK Met Office.

Next generation time stepping schemes for weather and climate

Accurate, timely weather and climate forecasting strongly relies on
the design of the mathematical and numerical algorithms underpinning
the forecast model and the efficiency with which they exploit
supercomputer hardware. Supercomputer design is undergoing a
revolution driven by physical limitations on the size, and therefore
speed, of processor components. This opens a 'chasm' between the
forecast simulations we need to run and what is possible to run on the
hardware. Future hardware will consist of vastly more, but less
powerful, processors meaning that we must distribute calculations
across the processors so they can be computed simultaneously, or `in
parallel\371. This requires revolutionary redesign of the mathematical
and numerical algorithms. An example of this is the recent UK Met
Office GungHo project, motivated by parallel communication bottlenecks
related to the geometry of the grid. The outcome was a new spatial
discretisation using compatible finite element methods which preserve
underlying properties of the equations of motion without imposing
restrictions on grid geometry. However, this does not solve the
parallel scalability problem inherent in spatial domain decomposition:
we must find a way perform parallel calculations in the time domain.

Please find further details regarding funding, eligibility and the
application procedure here:

From: Simon Funke
Date: October 06, 2019
Subject: PhD Position, Scientific Computing and Machine Learning, Univ of Oslo

Position as a PhD Research Fellow in mechanics available at the
Department of Mathematics, University of Oslo. The fellowship period
is 3 years. Starting date no later than 01.01.2020.

We are searching for a highly motivated candidate with a strong
background in computational science (mathematics/physics) and a
passion to work on the intersection between scientific computing and
machine learning.

The PhD position is part of the SciML-Scientific Computing & Machine
Learning project, a collaborative initiative between the Department of
Mathematics, UiO and Simula Research Laboratory. The initiative aims
to bridge numerical algorithms developed for solving partial
differential equations with recent techniques in machine learning, in
order to both increase the flexibility of traditional numerical
algorithms (such as finite element methods and multigrid techniques)
and also to increase robustness for neural networks. Applications in
focus are for example recent medical findings relating development of
Alzheimer's disease with the fluid dynamical clearance of metabolic
waste during sleep.

More information and application instructions are available at:

From: Cristóbal Bertoglio
Date: October 03, 2019
Subject: PhD positions, Cadiovascular Modeling and Inverse Problems

2 PhD positions on Cardiovascular Modeling and Inverse Problems will be
available in Groningen from the beginning of 2020.

More information can be found here:

Please also do not hesitate to forward this email to your master students
and to any colleague who may know suitable candidates.

From: Claude Brezinski
Date: October 03, 2019
Subject: Contents, Numerical Algorithms, 82 (2)

Table of Contents
Numerical Algorithms, Vol. 82, No. 2

Optimal rates of linear convergence of the averaged alternating
modified reflections method for two subspaces, Francisco J. Aragon
Artacho, Ruben Campoy

Rothe method and numerical analysis for history-dependent
hemivariational inequalities with applications to contact mechanics,
Stanislaw Migorski, Shengda Zeng

A fully conservative block-centered finite difference method for
simulating Darcy-Forchheimer compressible wormhole propagation, Xiaoli
Li, Hongxing Rui, Shuangshuang Chen

Coupling of boundary integral equation and finite element methods for
transmission problems in acoustics, Hongrui Geng, Zhenhua Xu

Robust additive block triangular preconditioners for block two-by-two
linear systems, Zhao-Zheng Liang, Guo-Feng Zhang

A meshfree method for solving the Monge-Ampere equation, Klaus
Boehmer, Robert Schaback

Numerical solutions to time-fractional stochastic partial differential
equations, Guang-an Zou

A modified modulus-based matrix splitting iteration method for solving
implicit complementarity problems, Hua Zheng, Seakweng Vong

New explicit stabilized stochastic Runge-Kutta methods with weak
second order for stiff Ito stochastic differential equations, Xiao
Tang, Aiguo Xiao

On starting and stopping criteria for nested primal-dual iterations,
Jixin Chen, Ignace Loris

The quasi-boundary value method for identifying the initial value of
heat equation on a columnar symmetric domain, Fan Yang, Ya-Ru Sun,
Xiao-Xiao Li, Can-Yun Huang

A prediction-correction-based primal-dual hybrid gradient method for
linearly constrained convex minimization, Feng Ma, Yiming Bi, Bin Gao

Sparse fast DCT for vectors with one-block support, Sina Bittens,
Gerlind Plonka

Lanczos method for large-scale quaternion singular value
decomposition, Zhigang Jia, Michael K. Ng, Guang-Jing Song

Solving system of inequalities via a smoothing homotopy method, Xiaona
Fan, Qinglun Yan

Circulant preconditioners for a kind of spatial fractional diffusion
equations, Zhi-Wei Fang, Michael K. Ng, Hai-Wei Sun

End of Digest