NA Digest, V. 20, # 5

NA Digest Sunday, February 02, 2020 Volume 20 : Issue 5


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: Ewa B. Weinmueller e.weinmueller@tuwien.ac.at
Date: January 28, 2020
Subject: New software package bvpsuite2.0


We are happy to announce the release of a new version of our MATLAB
software package bvpsuite2.0 (Release January 2020).

bvpsuite2.0 provides routines for the solution of arbitrary mixed
order multipoint boundary value problems in ordinary differential
equations in an implicit formulation.

Features include boundary value problems in ODEs, eigenvalue problems
for differential operators, differential-algebraic equations of index
1, path-following for turning point problems.

The problems may be posed on finite or semi-infinite intervals and the
differential operator may depend on unknown parameters.

The package is published under the Berkeley Software Distribution
license and is freely available from
https://www.asc.tuwien.ac.at/~ewa/software_development5.htm

For more information, see
https://www.asc.tuwien.ac.at/~ewa/



From: Matthias Ehrhardt m.ehrhardt@bath.ac.uk
Date: January 27, 2020
Subject: Celebrating Chris Budd (60), UK, Mar 2020


Celebrating Chris Budd: A leader in mathematical innovation turns 60

On the 4th of March 2020 we come together at the University of Bath
and celebrate the 60th birthday of our colleague, friend and
collaborator Chris Budd. The aim of this workshop is to bring together
collaborators, former PhD students and PostDocs of Chris to celebrate
him and his achievements in mathematical innovation over his long and
fruitful academic career. Chris's career was driven by
interdisciplinary research and to honour his achievements in this
regard the invited speakers also reflect this. Similarly, the
audience of this workshop will be from various academic backgrounds
ranging from mathematics to engineering, physics, biology,
pharmacology to name a few. We expect that this workshop will
highlight an outstanding career such as Chris's, its genuine
interdisciplinary approach to applied mathematics and as such will
serve as an exemplar for how innovation and impact in mathematics can
be achieved.

The event will be held at the University of Bath, in 4 West 1.7, on
Wednesday, 4 March 2020. If you are interested in participating,
please visit link to register. Registration is free of charge.

Confirmed speakers for this event are: Alan Champneys (Bristol, UK);
Melina Freitag (Potsdam, Germany); Rachel Kuske (Georgia Institute of
Technology, US); Cathryn Mitchell (Bath, UK); Mark Peletier
(Eindhoven, Netherlands); Hilary Weller (Reading, UK).


From: Mathias J Krause mathias.krause@kit.edu
Date: January 27, 2020
Subject: Lattice Boltzmann Methods with OpenLB, Germany, Mar 2020


Early bird registration is open until the 10th of February 2020 for
the Fourth Spring School on Lattice Boltzmann Methods with OpenLB
Software Lab. It is held in Berlin, Germany, from 9th to 13th of March
2020.

- Registration: https://www.openlb.net/spring-school-registration
- More information: https://www.openlb.net/spring-school-2020


From: Alexander Brune acb795@bham.ac.uk
Date: January 27, 2020
Subject: British Early Career Mathematicians’ Colloquium, UK, Apr 2020


Abstract submissions are now open for the British Early Career
Mathematicians Colloquium (BECMC) (formerly BYMC). Registration will
open shortly.

The BECMC will be held on the 1st-2nd April 2020 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.
(For more details, please visit
http://web.mat.bham.ac.uk/BYMC/BECMC20/).

The committee recognises that the standard of access at academic
conferences across the UK is largely unacceptable. Our team are
working to improve this within their capabilities, both for this BECMC
2020 and for future conferences. Please see our website for full
details about the accessibility at the conference.

For any questions or concerns, please email the committee on
becmc2020@contacts.bham.ac.uk.



From: Yiqiu Dong yido@dtu.dk
Date: January 31, 2020
Subject: Computational UQ for Inverse Problems (PhD Course), Denmark, May 2020


We would like to draw your attention to our forthcoming PhD course on
"Computational Uncertainty Quantification for Inverse Problems". The
course will be held from 11 May to 15 May 2020 at the Technical
University of Denmark.

This course is aimed at PhD students and researchers in applied
mathematics and physics who want to understand and use UQ in
connection with inverse problems such as image deblurring, computed
tomography, and inverse scattering.

The course consists of lectures and exercises using MATLAB. The topics
are: a review of computational inverse problems, Bayesian methods and
UQ for inverse problems, prior modeling with Markov random fields, and
recently developed MCMC methods for UQ in inverse problems. The course
ends with a mini-project done by the course participants.

The course is given by Professor Johnathan M. Bardsley from the
University of Montana, and it uses the book: J. M. Bardsley,
Computational Methods and Uncertainty Quantification for Inverse
Problems, SIAM, 2018. Further details can be found from the website:
https://kurser.dtu.dk/course/02923.

Sign up for the course by sending an email to Yiqiu Dong: yido@dtu.dk.



From: Suzanne Shontz shontz@ku.edu
Date: February 02, 2020
Subject: Deadline Extension PDSEC, USA, May 2020


The deadline for papers to be submitted to the 21st IEEE International
Workshop on Parallel and Distributed Scientific and Engineering
Computing (PDSEC-20) has been extended to February 14, 2020. See
http://cse.stfx.ca/~pdsec20/ . It will be held on May 22, 2020 in New
Orleans in conjunction with IPDPS 2020.

Deadline: PDSEC-20 deadline (extended): 14 Feb 2020 (AoE)

Scope and Interests: The technological trends in HPC system evolution
indicates an increasing burden placed on application developers due to
the management of the unprecedented complexity levels of hardware and
its associated performance characteristics. Many existing scientific
applications codes are unlikely to perform well on future systems
without major modifications or even complete rewrites. In the future,
it will be necessary to utilize, in concert, many characteristics such
as multiple levels of parallelism, many lightweight cores, complex
memory hierarchies, novel I/O technology, power capping, system-wide
temporal/spatial performance heterogeneity and reliability concerns.
The parallel and distributed computing community has developed new
programming models, algorithms, libraries and tools to meet these
challenges in order to accommodate productive code development and
effective system use. However, the scientific application community
still needs to identify the benefit through practical evaluations.
Thus, the focus of this workshop is on methodologies and experiences
used in scientific and engineering applications and algorithms to
achieve sustainable code development for better productivity,
application performance and reliability.



From: Raimondas Ciegis rc@vgtu.lt
Date: January 27, 2020
Subject: Mathematical Modelling and Analysis, Lithuania, May 2020


25nd International Conference
Mathematical Modelling and Analysis (MMA2020)
May 26 -- 29 2020, Druskininkai, Lithuania

We are pleased to inform you about the progress in the organization of
the 25th International Conference Mathematical Modelling and Analysis
(MMA2020), which will be held in Druskininkai, Lithuania, from May 26
to May 29, 2020.

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.

Detailed information about the Conference is available on
http://mma2020.vgtu.lt/

Questions regarding MMA2020 should be addressed to e-mail:
mma2020@vgtu.lt



From: Cristina Campi span20sc@math.unipd.it
Date: January 28, 2020
Subject: Seminari Padovani di Analisi Numerica, Italy, May 2020


Seminari Padovani di Analisi Numerica 2020 (SPAN 2020)
Padova (Italy) - May 6-7, 2019.

This two-days workshop aims to bring together people from different
souls of the numerical analysis to foster and develop new scientific
relations.

Some slots for contributed talks are still available. Contributed
talks will be 25 minutes long (20+5 of questions). Submission deadline
is March 1st.

Registration is mandatory, the deadline is April 1st
https://events.math.unipd.it/SPAN2020/node/8

For additional information, please visit
https://events.math.unipd.it/SPAN2020/


From: Randy LeVeque rjl@uw.edu
Date: February 01, 2020
Subject: Foundations of Computational Mathematics, Canada, Jun 2020


Foundations of Computational Mathematics (FoCM) 2020, Simon Fraser
University, Downtown Vancouver, Canada, June 15-24, 2020

Registration is now open for FoCM 2020. We are also accepting
submissions for contributed poster presentations and applications for
travel support at this time. The key deadlines are:

Registration - April 1 (early bird), June 1 (regular)
Travel support - Mar 15 (for full consideration)
Contributed posters - Mar 15 (for full consideration)

For further information, see http://focm-society.org/2020/

FoCM 2020 is the latest edition of the conference series of the FoCM
society. Its aims are to promote research at the interface of
mathematics and computation, and to foster interaction between
mathematics, computer science and other areas of computational
science.

The plenary speakers are: Folkmar Bornemann, Sara van de Geer, Philipp
Grohs, Alice Guionnet, Thomas Hales, Aicke Hinrichs, Kristin Lauter,
Bojan Mohar, Sebastian Reich, Ed Saff, Carola Schoenlieb, Daniel
Spielman, Rekha Thomas, Caroline Uhler, Mariel Vazquez, Rebecca
Willett, Sara Zahedi

FoCM features 21 themed parallel workshops, each spanning a three-day
period, with the conference comprising three periods in total.
Workshop talks are primarily by invitation. There will be sessions
during each of the three periods featuring contributed poster
presentations.



From: Marta D'Elia mdelia@sandia.gov
Date: January 30, 2020
Subject: RAMSES, Italy, Jul 2020


We would like to announce the workshop RAMSES - Reduced order
modeling, Approximation theory, Machine learning, Surrogates,
Emulators and Simulators to be held at SISSA in Trieste, Italy, on
June 30-July 3, 2020. This workshop is focused on the review of
recent algorithmic and mathematical advances and the development of
new research directions for Mathematical Model Approximations via
RAMSES in the setting of parametrized partial differential equations
with sparse and noisy data in high-dimensional parameter spaces. We
invite PhD students and postdocs already active in RAMSES-related
research to participate in the workshop and present a poster.
Abstract submission and registration details will be announced soon.

Confirmed invited speakers: M.A. Bessa (TU Delft), P. Bochev (Sandia
National Laboratories), C. Carstensen (Humboldt University), S. Canic
(UC Berkely), Q. Du (Columbia University), J. Hesthaven (EPFL),
A. Huerta (Universitat Politecnica de Cataluna). G.E. Karniadakis
(Brown University), O. Dunbar (California Institute of Technology),
S. Perotto (Politecnico di Milano), A. Quaini (University of Houston),
F. Rizzi (NexGen Analytics), C. Schonlieb (University of Cambridge),
R. Smith (North Carolina State University), A. Teckentrup (University
of Edinburgh), E. Ullman (TU Munich), C. Webster (Oak Ridge National
Laboratory), K. Willcox (University of Texas at Austin).

For questions, do not hesitate to contact us at: ramses@sissa.it


From: Jose Madeira aguilarmadeira@tecnico.ulisboa.pt
Date: January 27, 2020
Subject: Advances in Structural and Multidisciplinary Optimization, Spain, Sep 2020


The Eleventh International Conference on Engineering Computational
Technology, 8 - 10 September 2020 | Palma, Mallorca, Spain
http://www.ectconference.com/special-session.asp

We would like to invite you to submit an abstract to the invited
session "ECT5 - Advances in Structural and Multidisciplinary
Optimization" that we are organizing as part of the conference ECT, to
be held at Palma, Mallorca, Spain, 8-10 September 2020. The deadline
for abstract submission is 28 February 2020. The purpose of this
session is to bring together researchers who successfully develop
techniques for solving structural and multidisciplinary optimization
problems (single and multi-objective). We encourage new research into
all aspects of the optimal design of structures as well as
multidisciplinary design optimization where the involved disciplines
deal with the analysis of solids, fluids or other field problems.
This special session aims to provide a forum for researchers from
theoretical developments for single or multi-objective optimization as
well as their application for solving real engineering problems.

Submissions presenting novel developments or critical reviews are welcome.


Contributions are invited on the following topics: Application of
Structural optimization in nanotechnology; Application of Structural
optimization in computational design of materials; Application of
Structural optimization for the design of mechanisms; Optimization of
Composite Structures; Sampling and surrogate modeling in design
optimization; Numerical Optimization Techniques; Experimental
Optimization Techniques; Shape and Topology Optimization;
Surrogate-based Optimization; Multidisciplinary Optimization;
Multi-objective Optimization; Robust and Reliability-based Design
Optimization.



From: Jianlin Xia xiaj@purdue.edu
Date: January 30, 2020
Subject: Fast Direct Solvers, USA, Sep 2020


Purdue CCAM (Center for Computational & Applied Mathematics) will host
the 2020 Conference on Fast Direct Solvers on September 26-27, 2020.

The conference themes include:
- Structured matrices and structured direct solvers
- Sparsity and data sparsity
- Randomized numerical linear algebra
- High performance direct solvers and matrix factorizations
- Structured preconditioning and FMM solvers
- Fast PDE and IE solvers
- Applications to data science and other fields
- Other relevant subjects

Contributed talks are welcome. A limited amount of travel support is
expected to be available to early-career researchers and
students. Please see the following webpage for the list of invited
speakers, registration, travel support, and other information:

http://www.math.purdue.edu/~xiaj/FastSolvers2020/



From: Jose E Castillo jcastillo@sdsu.edu
Date: January 26, 2020
Subject: VP Research Position, San Diego State


San Diego State University (SDSU) seeks an experienced, innovative and
entrepreneurial leader to serve as its next vice president for
research (VPR).

San Diego State University is the flagship research institution of the
23- campus California State University (CSU) system and one of the top
68 public universities in the United States, according to U.S. News
and World Report. SDSU offers 24 doctoral programs. With SDSU
researchers securing $148.5 million in grants and contracts last year,
the university is currently designated as a doctoral university with
high research activity (R2) by the Carnegie Foundation, and is on an
ascendant trajectory toward becoming a "doctoral/research-extensive"
(R1) institution. San Diego has long been a hub of innovation on many
levels: biomedical sciences, military defense, public health,
engineering, water science, climate change, social policy and
more. SDSU students pursue real-world challenges under the guidance of
internationally recognized mentors in cutting-edge labs,
entrepreneurship centers and business incubators.

https://careers.insidehighered.com/job/1923410/vice-president-for-research/


From: Ricardo Ruiz Baier ricardo.ruizbaier@monash.edu
Date: January 30, 2020
Subject: Postdoc Position, Numerical Analysis, Monash Univ


We invite applications for a 2-year postdoctoral research fellowship
available at the School of Mathematics of Monash University,
Australia, to work on a project spanning numerical analysis of partial
differential equations and coupled problems in elasticity. The
position will be supervised by Ricardo Ruiz Baier, and the successful
candidate will conduct theoretical analysis and perform efficient
implementation for novel discretisation techniques applied to the
simulation of intracellular calcium propagation and the coupling with
deformations in different cell types.

The appointee will have a doctoral qualification in applied
mathematics or numerical analysis, sufficient experience with the
analysis and realisation of virtual element methods or similar
schemes, and a strong publication record commensurate with the career
stage. The fellowship is open to talented candidates of any
nationality and the selection will be based upon research potential
and fit with the main themes of the project.

More information about the position, as well as salary details and
specifics on the application procedure can be found following the link

http://careers.pageuppeople.com/513/cw/en/job/602668/research-fellow-in-numerical-
analysis

Informal enquiries can be directed to Ricardo Ruiz Baier
(ricardo.ruizbaier@monash.edu), whereas confidential or official
enquiries should be directed to sci-maths-jobs@monash.edu citing the
Job No.: 602668. Applications are open until 26 February 2020.


From: Giraud luc.giraud@inria.fr
Date: January 27, 2020
Subject: Postdoc Position, Numerical Linear Algebra and HPC, Inria Bordeaux Sud-Ouest


2 year Postdoctoral Position
High Performance Computing
Inria Bordeaux Sud-Ouest

Inria Bordeaux Sud-Ouest has an opening for an exciting Postdoctoral
Scholar opportunity. The successful candidate will conduct fundamental
and applied research in parallel numerical linear algebra with
applications in various engieneering, physics and data driven
applications.

What You Will Do: Study and numerical linear algebra algorithms
covering the numerical analysis aspects (e.g., mutiple precision
calculation, data sparse calculation, ...) . Implement advanced code
using innovative programming paradigms such as task-based programming
on top of runtime systems to contribute to open-source libraries
developed at Inria Bordeaux (e.g., Maphys, Fabulous, ..) Publish and
present research results in high-impact journals and top conferences
in the areas of parallel computing, numerical linear algebra and
application domains. This is a full-time 2-year, postdoctoral
appointment Work will be primarily performed at Inria Bordeaux, but
visits to partners in Europe will be required.

What is Required: PhD degree, preferably within the last 3 years, in
Computer Science, Computational Sciences, Applied Mathematics, or a
related technical field. Proficiency in C and/or C++ programming
language. Ability to publish in top journals and conferences.
Excellent verbal and written communication skills.

More details can be found by looking at the job offer
(https://jobs.inria.fr/public/classic/en/offres/2020-02328) or by
emailing to luc.giraud@inria.fr



From: Melina Freitag melina.freitag@uni-potsdam.de
Date: January 28, 2020
Subject: Postdoc Positions, Univ of Potsdam, Germany


The research focus area Data Centric Sciences at the University of
Potsdam seeks applications for three two-year Jacob-Jacobi
postdoctoral fellowships (pay scale TV-L 13)

The three fellowship holders will join and strengthen ongoing
interdisciplinary research activities at the University of Potsdam in
the following three target areas:

(a) Cognitive modelling and data science
(b) Big data (analytics) in the public sector
(c) Physics-based machine learning with applications to fluid mechanics

Successful applications will join a vibrant research environment
spanning across several faculties at the University of Potsdam. The
starting date is negotiable. The fellowship holders are expected to
develop an innovative personal research agenda in the context of one
of the above target areas. Successful project may receive funding
beyond the initial two year period and may join collaborative research
initiatives such as SFB 1294 and SFB 1287 at the University of
Potsdam.

Deadline for applications is 01.03.2020. Applications will be
considered until all positions have been filled. Applications should
contain a CV and a research proposal in a single PDF document and
should be sent to the coordinator Dr. Udo Schwarz
(udo.schwarz@uni-potsdam.de).

Inquiries about the three fellowships can be addressed to Ralf Engbert
(ralf.engbert@uni-potsdam.de) or Shravan Vasishth
(vasishth@uni-potsdam.de) for the post in cognitive modelling and data
science, Julia Fleischer (fleischer@uni-potsdam.de) for the post in
big data in the public sector and Melina Freitag
(melina.freitag@uni-potsdam.de) or Niels Landwehr
(landwehr@cs.uni-potsdam.de) for the post in physics-based machine
learning. General inquiries can also be directed to the speaker of the
centre Sebastian Reich (sebastian.reich@uni-potsdam.de).


From: Evrim Acar evrim@simula.no
Date: January 28, 2020
Subject: PhD & Postdoc Positions, Multi-Modal Data Mining Methods, Simula, Norway


We have multiple openings (PhD students and postdoctoral researchers)
at the Machine Intelligence Department at Simula Metropolitan Center
for Digital Engineering (SimulaMet), Oslo, Norway.

The Machine Intelligence Department at SimulaMet has expertise in
machine learning, with a particular focus on matrix and tensor
factorizations, signal processing, and statistical learning theory. We
are interested in developing and applying methods to address
challenging problems in various real-life applications. Open positions
will involve model and algorithm development for multi-modal data
mining methods with a focus on applications (i.e., multi-modal
neuroimaging data fusion, omics data fusion and personalized cancer
screening) and with the opportunity to work closely with domain
experts.

For more details, please see the full advertisements:

https://www.simulamet.no/about/job/call-phd-student-or-postdoctoral-researcher-develop-
data-mining-methods-personalized

https://www.simulamet.no/about/job/multiple-openings-phd-studentpostdoctoral-
researcher-multi-modal-data-mining-methods-omics


From: Eric Hall hall@uq.rwth-aachen.de
Date: January 28, 2020
Subject: PhD Position, Chair of Mathematics for UQ, RWTH Aachen Univ


Full announcement here: https://bit.ly/30PZeuD

The Helmholtz School for Data Science in Life, Earth, and Energy
(HDS-LEE, https://www.hds-lee.de/) invites applications for a Ph.D.
position in "Stochastic Differential Equation Models and Inference for
Wind and Solar Power Production" under the primary supervision of Raul
Tempone, Alexander von Humboldt Professor of Mathematics for
Uncertainty Quantification at RWTH Aachen University. HDS-LEE provides
an interdisciplinary environment for educating the next generation of
data scientists in close contact with domain-specific knowledge and
research.

The Project: The scope of this Ph.D. project is to develop a
computational framework for providing efficient probabilistic forecast
models for wind and solar power production for short up to
intermediate time horizons.

The Offer: 3-year position (salary TVL 13 100%) providing the
opportunity to develop personal strengths and engage in a unique
graduate school program that provides an international and
interdisciplinary working environment.

Application: Applications must contain a CV, a letter of motivation,
copies of degree certificates, and relevant course transcripts along
with contact details of at least two academic referees. Please forward
materials to Prof. Raul Tempone (tempone@uq.rwth-aachen.de).

Deadline: For full consideration please apply by Feb 15, 2020.
However, applications will be accepted until the position is full.


From: lasiecka lasiecka@memphis.edu
Date: January 27, 2020
Subject: Contents, Evolution Equations and Control Theory, 9 (1)


The new issue EECT 9-1 March 2020 regular issue is now online.
https://www.aimsciences.org/journal/A0000-0000/2020/9/1

CONTENTS

Abdelmouhcene Sengouga, Exact boundary observability and
controllability of the wave equation in an interval with two moving
endpoints

Doria A ane, Meriem Aissous and Mustapha Fateh Yarou, Almost mixed
semi-continuous perturbation of Moreau's sweeping process

Gilbert Peralta, Uniform exponential stability of a fluid-plate
interaction model due to thermal effects

Jeremy LeCrone and Gieri Simonett, On quasilinear parabolic equations
and continuous maximal regularity

Paola Loreti and Daniela Sforza, Reachability problems for a wave-wave
system with a memory term

Ruxandra Stavre, Optimization of the blood pressure with the control
in coe cients

Zhiyuan Li, Xinchi Huang and Masahiro Yamamoto, Initial-boundary value
problems for multi-term time-fractional di usion equations with x-
dependent coe ffcients

Peng Gao, Global exact controllability to the trajectories of the
Kuramoto-Sivashinsky equation

Andrea Signori, Optimality conditions for an extended tumor growth
model with double obstacle potential via deep quench approach

Dalila Azzam-Laouir, Warda Belhoula, Charles Castaing and
M. D. P. Monteiro Marques, Multi-valued perturbation to evolution
problems involving time dependent maximal monotone operators

Sergei Avdonin, Je Park and Luz de Teresa, The Kalman condition for
the boundary controllability of coupled 1-d wave equations

Jifeng Chu, Maurizio Garrione and Filippo Gazzola, Stability analysis
in some strongly prestressed rectangular plates


From: IMA Journal of Numerical Analysis charlotte.parr@oup.com
Date: January 30, 2020
Subject: Contents, IMA Journal of Numerical Analysis, 40 (1)


IMA Journal of Numerical Analysis
Links to all articles in this issue are available online at:
https://academic.oup.com/imajna/issue/40/1

P1 finite element methods for an elliptic optimal control problem with
pointwise state constraints, Susanne C Brenner, Li-yeng Sung, and
Joscha Gedicke

Finite element approximation of a strain-limiting elastic model,
Andrea Bonito, Vivette Girault, and Endre Suli

A mixed finite-element method for elliptic operators with Wentzell
boundary condition, Eberhard Bansch and Markus Gahn

Stream function formulation of surface Stokes equations, Arnold
Reusken

Analysis and finite element discretization for optimal control of a
linear fluid-structure interaction problem with delay, Gilbert Peralta
and Karl Kunisch

On the numerical solution of a class of systems of linear matrix
equations, Valeria Simoncini

Optimal control of elliptic surface PDEs with pointwise bounds on the
state, Ahmad Ahmad Ali, Michael Hinze, and Heiko Kroner

A fully discrete approximation of the one-dimensional stochastic heat
equation, Rikard Anton, David Cohen, and Lluis Quer-Sardanyons

Sampling inequities for anisotropic tensor product grids, Christian
Rieger and Holger Wendland

A priori and a posteriori error estimates for a virtual element
spectral analysis for the elasticity equations, David Mora and Gonzalo
Rivera

Strong order 1/2 convergence of full truncation Euler approximations to
the Cox-Ingersoll-Ross process, Andrei Cozma and Christoph Reisinger

Pointwise-in-time error estimates for an optimal control problem with
subdiffusion constraint, Bangti Jin, Buyang Li, and Zhi Zhou

A convergent finite volume method for the Kuramoto equation and
related nonlocal conservation laws, N Chatterjee and U S Fjordholm

Hierarchical B-spline complexes of discrete differential forms, John A
Evans, Michael A Scott, Kendrick M Shepherd, Derek C Thomas, and
Rafael Vazquez Hernandez

Maximum norm error estimates for Neumann boundary value problems in
graded meshes, Thomas Apel, Sergejs Rogovs, Johannes Pfefferer, and
Max Winkler

Long-time L\infty(L2) a posteriori error estimates for fully discrete
parabolic problems, Oliver J Sutton

Asymptotic preserving discretization of a Jin-Xin model with implicit
equilibrium manifold on a bounded domain, Nicolas Seguin and Magali
Tournus

An exact penalty method for semidefinite-box-constrained low-rank
matrix optimization problems, Tianziang Liu, Zhaosong Lu, Xiaojun
Chen, and Yu-Hong Dai

Evaluation of Legendre polynomials by a three-term recurrence in
floating-point arithmetic, Tomasz Hrycak and Sebastian Schmutzhard

Range-relaxed criteria for choosing the Lagrange multipliers in
nonstationary iterated Tikhonov method, R Boiger, A Leitao, and B F
Svaiter

Error estimates of finite difference schemes for the Korteweg-de Vries
equation, Clementine Courtes, Frederic Lagoutiere, and Frederic
Rousset

A multi-level mixed element scheme of the two-dimensional Helmholtz
transmission eigenvalue problem, Yingxia Xi, Xia Ji, and Shuo Zhang

Virtual element methods for the obstacle problem, Fei Wang and Huayi
Wei

Optimal error estimates of the unilateral contact problem in a curved
and smooth boundary domain by the penalty method, Ibrahima Dione

BPX preconditioners for isogeometric analysis using analysis-suitable
T- splines, Durkbin Cho and Rafael Vazquez

Corrigendum to: A convergent adaptive finite element method for
elliptic Dirichlet boundary control problems, Wei Gong, Wenbin Liu,
Zhiyu Tan, and Ningning Yan



From: Claude Brezinski claude.brezinski@univ-lille.fr
Date: January 29, 2020
Subject: Contents, Numerical Algorithms, 83 (2)


Table of Contents
Numerical Algorithms, Vol. 83, No. 2

A new iteration technique for nonlinear operators as concerns convex
programming and feasibility problems, D.R. Sahu, A. Pitea, M. Verma

On the complex Falk-Langemeyer method, Vjeran Hari

A type of cascadic multigrid method for coupled semilinear elliptic
equations, Fei Xu, Qiumei Huang

A direct numerical method for approximate solution of inverse reaction
diffusion equation via two-dimensional Legendre hybrid functions,
I. Gholampoor, M. Tavassoli Kajani

Continuous and discrete zeroing neural dynamics handling future
unknown-transpose matrix inequality as well as scalar inequality of
linear class, Jianrong Chen, Yunong Zhang

A posteriori error estimation for a singularly perturbed Volterra
integro-differential equation, Jian Huang, Zhongdi Cen, Aimin Xu,
Li-Bin Liu

A Matlab software for approximate solution of 2D elliptic problems by
means of the meshless Monte Carlo random walk method, Slawomir
Milewski

Construction of new generalizations of Wynn's epsilon and rho
algorithm by solving finite difference equations in the transformation
order, Xiang-Ke Chang, Yi He, Xing-Biao Hu, Jian-Qing Sun, Ernst
Joachim Weniger

A tangential method for the balanced truncation in model reduction,
Y. Kaouane

A new preconditioner for elliptic PDE-constrained optimization
problems, Hamid Mirchi, Davod Khojasteh Salkuyeh

Unconditional optimal error estimate of the
projection/Lagrange-Galerkin finite element method for the Boussinesq
equations, Zhiyong Si, Yanfang Lei, Zhang Tong

Penalty variable sample size method for solving optimization problems
with equality constraints in a form of mathematical expectation,
Natasa Krklec Jerinkic, Andrea Roznjik

A robust adaptive grid method for a nonlinear singularly perturbed
differential equation with integral boundary condition, Li-Bin Liu,
Guangqing Long, Zhongdi Cen

A direct discontinuous Galerkin finite element method for
convection-dominated two-point boundary value problems, Guanglong Ma,
Martin Stynes

Detecting a hyperbolic quadratic eigenvalue problem by using a
subspace algorithm, Marija Miloloza Pandur

A new algorithm for solving the split common null point problem in
Hilbert spaces, Simeon Reich, Truong Minh Tuyen

Edge importance in a network via line graphs and the matrix
exponential, Omar De la Cruz Cabrera, Mona Matar, Lothar Reichel

End of Digest
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