NA Digest, V. 19, # 18

NA Digest Sunday, May 05, 2019 Volume 19 : Issue 18


Today's Editor:

Daniel M. Dunlavy
Sandia National Labs
dmdunla@sandia.gov

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From: Thomas Manteuffel Tmanteuf@colorado.edu
Date: April 29, 2019
Subject: Roland Sweet, March 14, 1940---April 15, 2019


Roland Sweet passed away April 15, 2019.

Roland earned his Ph. D. in Computer Science at Purdue University in
1967. He was an Assistant Professor at Cornell University, working
summers at Argonne National Laboratory and Marathon Oil Company. He
joined the Department of Mathematics at the University of Colorado in
1970, teaching at the Denver Campus and consulting at the National
Center for Atmospheric Research (NCAR). He received tenure in 1974.
In 1980, Roland joined the National Bureau of Standards (NBS now NIST)
in Gaithersburg, Maryland. Two years later, he transferred to the NBS
laboratory in Boulder, Colorado. In 1985, he joined the Department of
Mathematics at the University of Colorado, Denver, becoming the
Director of the Computational Mathematics Group in 1988.

Along with Paul Swarztrauber, Roland was one of the early pioneers of
fast direct Poisson solvers using the methods of Fourier analysis and
cyclic reduction (FACR), which resulted in the widely used software
package FISHPACK for sequential, vector, and parallel processors.

Roland retired for the first time in 1996 and spent two years sailing
around the Caribbean with his wife, Linda Lindgren. After that
adventure, he worked in Seattle for Lizard Tech, developing image
processing software, and in McKinney, Texas, for several companies. He
retired for the last time in 2008 and spent his final years in
Boulder, where he became deeply involved in the Boulder Homeless
Shelter and Earth's Table Community Garden.

Roland was a good friend and colleague. He had an easy smile, quick
wit, and a great sense humor. We will all miss him greatly.

For more information on Roland Sweet, follow the link
https://www.dignitymemorial.com/obituaries/boulder-co/roland-sweet-8251554



From: Jack S. Hale jack.hale@uni.lu
Date: May 02, 2019
Subject: FEniCS Project 2019.1.0 released


The FEniCS Project Steering Council is pleased to announce the release
of version 2019.1.0 of the FEniCS Project https://fenicsproject.org.
Installation instructions are available at
https://fenicsproject.org/download .

FEniCS Project 2019.1.0 includes new functionality for calculating
shape derivatives and support for PETSc and SLEPc versions 3.11. We
would like to take this opportunity thank the community for their many
contributions.

The FEniCS Project is currently undergoing a major redevelopment
codenamed FEniCS-X. You can read more about this effort at
https://fenicsproject.org/fenics-project-roadmap-2019/

FEniCS is a popular open-source (LGPLv3) computing platform for
solving partial differential equations (PDEs). FEniCS enables users to
quickly and automatically translate scientific models into efficient
finite element code.

The FEniCS Project is a fiscally sponsored project of NumFOCUS
(https://numfocus.org).


From: Ridgway Scott ridg@uchicago.edu
Date: May 03, 2019
Subject: FEniCS Course, USA, Jun 2019


We are giving a course entitled
Solving PDEs with the FEniCS Project
18-21 June 2019 in Chicago.

I will be the primary lecturer and be assisted by people who are
experts in FEniCS codes, graphics, etc.

In this course, students learn the basic concepts behind modeling
natural phenomena using partial differential equations and how to
implement fast finite element solvers for these equations with the
software provided by the FEniCS Project, and to visualize solutions
using state-of-the-art tools.

The course is ideal for grad students and post docs who want to learn
more about PDEs and numerical methods for solving them and to improve
their skills in modeling using PDEs.

For more information, go to
http://people.cs.uchicago.edu/~ridg/cminit/aboutcourses.html
or contact me by email at ridg@uchicago.edu.

The deadline for registration is 15 May.



From: Yousef Saad saad@umn.edu
Date: May 02, 2019
Subject: Deadline Extended, Preconditioning 2019 , USA, Jul 2019


Preconditioning 2019 final announcement.

The 2019 International Conference on Preconditioning Techniques for
Scientific and Industrial Applications (Preconditioning 2019) will
take place from July 1, to July 3, 2019 at The University of
Minnesota, Twin cities.

- The deadline for early registration is May 14th.

- Deadline for submitting an abstract/poster has been changed to May
12th.

- Deadline for special rate at the Graduate Hotel: June 7th. [limited
space]

For details consult z.umn.edu/Precon2019


From: Daniel Wachsmuth daniel.wachsmuth@mathematik.uni-wuerzburg.de
Date: May 02, 2019
Subject: Quasi-Variational Inequalities, Germany, Sep 2019


Quasi-variational inequalities (QVIs) form a notoriously difficult
class of problems which differ from standard variational inequalities
since its feasible set also depends on the decision variable. Besides
this fact, the QVI has become a standard tool for the modeling of
various equilibrium-type scenarios in the natural sciences and
includes, in particular, the generalized Nash equilibrium problem
(GNEP). QVIs therefore have a wide range of applications in game
theory, continuum mechanics, economics, transportation etc.

The lectures will be given by
- Jong-Shi Pang (University of Southern California, USA):
Generalized Nash-Equilibrium Problems in Finite Dimensions
- Carlos N. Rautenberg (Humboldt Universitaet zu Berlin, Germany):
Introduction to Quasi-Variational Inequalities in Hilbert Spaces
- Hasnaa Zidani (ENSTA ParisTech, France):
Optimal Control and Hamilton-Jacobi-Bellman Equations

More information can be found at
https://go.uniwue.de/fallschool2019


From: Bubacarr Bah bubacarr@aims.ac.za
Date: May 03, 2019
Subject: Spring School on Mathematics of Data Science, South Africa, Sep 2019


Applications are invited for the Spring School on Mathematics of Data
Science to be held at the African Institute for Mathematical Sciences
(AIMS) South Africa, Muizenberg, Cape Town on September 23 - 27, 2019.

Details about the school can be found at
https://aims.ac.za/2019/04/18/spring-school-on-mathematics-of-data-science/


From: Simon Byrne simonbyrne@caltech.edu
Date: May 03, 2019
Subject: Research Software Engineer Position, CliMA


We are seeking research software engineers to implement and integrate
components of the first Earth system model (ESM) that automatically
learns from global observations and targeted high-resolution
simulations of clouds, turbulence, and other elements of the Earth
system. As a CliMA research software engineer at Caltech, you will
collaborate with a dynamic, multi-disciplinary team of curious and
creative scientists, engineers, and applied mathematicians, spanning
Caltech, NASA's Jet Propulsion Laboratory, the Massachusetts Institute
of Technology, and the Naval Postgraduate School.

See https://clima.caltech.edu/join-our-team/ for more details.


From: Francesco Sica francesco.sica@nu.edu.kz
Date: April 29, 2019
Subject: Full-Time Positions, Applied Mathematics, Nazarbayev Univ


Nazarbayev University is seeking highly-qualified faculty at all ranks
to join its rapidly growing Mathematics Department in the School of
Science and Technology (SST). Candidates from all areas of mathematics
will be considered but preference will be given to those working in
the following research areas: Applied Mathematics (mathematical
biology, actuarial mathematics, mathematical finance, optimization).

Successful candidates should hold a doctorate degree (Ph.D.) in
applied mathematics, computational mathematics, mathematics,
statistics or in a related field and have excellent English-language
communication skills, demonstrated potentials to establish
interdisciplinary research, and experience with and exposure to
Western higher education. Applicants for associate and full professor
positions should have considerable experience in supervising students
at the graduate level, grant writing, possess strong teaching skills
and experience, and a demonstrated rank-appropriate research
accomplishment and service. Applicants for assistant professor level
should demonstrate a potential for excellence in teaching, research,
and service. Position responsibilities include: teaching undergraduate
and graduate level of courses (2-2 teaching load), supervision of
graduate students, curricular and program development, ongoing
engagement in professional and research activities, general program
guidance and leadership, and other activities related to the
intellectual and cultural environment of the university.

Nazarbayev University offers an attractive benefits package,
including: competitive compensation; free housing based on family size
and rank; relocation allowance; no-cost medical insurance, with global
coverage; educational allowance for children; air tickets to home
country, twice per year.

Applicants should send a detailed CV, teaching and research
statements, and list of publications to sst.cv@nu.edu.kz. Review of
applications will be processed on an ongoing basis and continue until
all positions have been filled. Successful appointments are expected
to begin on August 1st, 2019. For more information please visit
http://sst.nu.edu.kz



From: Philipp Birken philipp.birken@na.lu.se
Date: April 30, 2019
Subject: Senior Lecturer Position, Scientific Computing, Lund Univ


The Centre for the Mathematical Sciences at Lund University has an
open Senior University Lecturer Position in Scientific Computing.
This is a permanent position and the promotion to full professor is
possible in a tenure track type procedure.

Research in Scientific Computing and Numerical Analysis at the Centre
for the Mathematical Sciences focuses on numerical methods for
differential equations. We are looking for a candidate with a
connection to the current research activities that adds new research
directions, e.g. high performance computing, PDE constrained
optimization, uncertainty quantification, adaptivity, stochastic
differential equations, model order reduction, or the relation to data
based models.

Lund University was founded in 1666 and is repeatedly ranked among the
world's top 100 universities. The University has 40 000 students and 7
600 staff based in Lund, Helsingborg and Malmo. It is in southern
Sweden and close to the danish capital of Copenhagen.

For more information and how to apply:
https://lu.mynetworkglobal.com/en/what:job/jobID:265302/type:job/where:4/apply:1



From: MONTAZ ALI montaz.ali@wits.ac.za
Date: April 30, 2019
Subject: Multiple Positions, Univ of Witwatersrand


The School of Computer Science and Applied Mathematics undertakes
high-quality research in a wide variety of areas and is home to
several NRF rated scientists. In the domain of Applied Mathematics the
School's main research areas include symmetry methods of differential
equations, mathematical modelling, control theory, optimization,
numerical analysis and fluid mechanics. Furthermore, research areas
are in mathematics of finance, which include but not limited to
portfolio optimization, risk management, risk measurement, stochastic
processes in finance and interested rate modelling.

ASSOCIATE PROFESSOR/FULL PROFESSOR (OPTIMAL CONTROL THEORY): We seek
applicants with research and teaching experience in the area of
optimal control theory.

ASSOCIATE PROFESSOR/FULL PROFESSOR (NUMERICAL ANALYSIS): We seek
applicants with research and teaching experience in the area of
numerical analysis or computational techniques.

LECTURER/SENIOR LECTURER (MATHEMATICS OF FINANCE): We seek applicants
with some research and teaching experience in the area of
computational finance or mathematics of finance.

To apply: External applicants are invited to apply by registering
their profile on the Wits i-Recruitment platform located at
https://irec.wits.ac.za and submitting applications. Internal
employees are invited to apply directly on Oracle by following the
path: iWits /Self Service application/"Apply for a job".

Closing date for all openings: 20 May 2019


From: Bojana Rosic b.rosic@utwente.nl
Date: May 05, 2019
Subject: Assistant Professor Position, Univ of Twente


The department of Mechanics of Solids, Surfaces & Systems (MS3) of the
Faculty of Engineering Technology at the University of Twente invites
applications for Assistant Professor in Physics Supported Data
Analysis of Materials Processing.

The candidate will be appointed for two years, with the prospect of a
permanent position after a positive evaluation. The successful
applicant is expected to hold a PhD in mechanical engineering or a
related discipline with proven skills on one or more of the following
areas: data science and analytics, machine learning, optimal control
and optimization.

Research within the department of Mechanics of Solids, Surfaces &
Systems (MS3) addresses the scientific and engineering aspects of the
strongly related "triangle" of (i) material (behaviour), (ii)
production and (iii) products, where ultimately the performance of all
aspects is of crucial importance.

University of Twente is an equal opportunity employer and values
diversity. We do not discriminate on the basis of race, religion,
color, national origin, gender, sexual orientation, age, marital
status or disability status. Because of our diversity values we do
particularly support women to apply.

Application Deadline: 15/05/2019

More details about the position and the application process can be
found at
https://www.utwente.nl/en/organization/careers/!/114303/assistant-professor-in-physics-
supported-data-analysis-of-materials-processing

Any enquiries may be addressed directly to me at b.rosic@utwente.nl



From: Christian Kuehn ckuehn@ma.tum.de
Date: April 28, 2019
Subject: Postdoc Position, Applied Mathematics, Technical Univ Munich


The research group on Multiscale and Stochastic Dynamics at Technical
University Munich seeks candidates for the following position:

Postdoctoral researcher (3-year) in applied mathematics

Interested candidates should have a background in one, or more, of the
following areas:

- stochastic processes/analysis, dynamical systems, scientific
computation, or PDE

The salary is TV-L 13 at 100%. Note that late applications may be
considered until the position is filled; initial deadline is 15th of
July 2019.

Application Materials:
- CV + publication list
- transcript(s) for bachelor-/master-level studies
- names and full contact addresses of at least two references
- brief statement of scientific interests / motivation should be sent
as ONE PDF-file to: ckuehn@ma.tum.de

For further information please see:
http://www.multiscale.systems/PDF_files/jobs9.pdf



From: Matthias J Ehrhardt m.ehrhardt@bath.ac.uk
Date: April 29, 2019
Subject: Postdoc Position, Inverse Problems, PET Imaging and Optimisation, UK


Research Associate in Randomised Optimisation for Large-Scale
Tomographic Image Reconstruction (fixed-term role)

A position exists for a Research Associate to work on the development
of stochastic optimisation methods for large-scale tomographic image
reconstruction, within the EPSRC project PET++: Improving
Localisation, Diagnosis and Quantification in Clinical and Medical PET
Imaging with Randomised Optimisation
https://gow.epsrc.ukri.org/NGBOViewGrant.aspx?
GrantRef=EP/S026045/1.

This project is a collaborative project between mathematicians in Bath
and Cambridge, medical researchers and clinicians from Addenbrookes'
hospital and GE Healthcare, with support from advisors from UCL,
Oxford, Kings College London, University of Helsinki and KTH
Stockholm. We build on the insights from our previous research and
continue to develop advanced image reconstruction techniques directly
tailored to PET imaging applications, putting a strategy in place to
ensure that successful methods are adopted widely in healthcare.

For more details, see
https://www.bath.ac.uk/jobs/Vacancy.aspx?ref=CC6696


From: Alexandre Cláudio Botazzo Delbem vbonato@usp.br
Date: April 29, 2019
Subject: Postdoc Position, Reconfigurable Computing


The Center for Research in Mathematical Sciences Applied to Industry
(CEPID-CeMEAI) at University of Sao Paulo opens a post-doctoral
research position in Reconfigurable Computing. The selected candidate
will work at Institute of Mathematical and Computer Sciences of
University of Sao Paulo in Sao Carlos/SP, Brazil. Sao Paulo Research
Foundation provides the financial support with a monthly salary of
R$7,373.10. Financial support can also be provided to cover
transportation expenses as to the move to Sao Carlos - Brazil. An
extra grant is also provided to cover participation in highly relevant
conferences and workshops, as well as research trips (limited to 15%
of the annual amount of the fellowship). The position is for one year.

Project: Development of an FPGA-orientated hardware system for real
time financial market access.

Supervisor: Dr. Alexandre A. C. Delbem

Description: The financial market has employed real time computing
systems to accelerate trading operations known as HFT (High Frequency
Trading) systems. One of the major challenges of HFT systems is to
guarantee predictability of the system execution time and low latency
for the system response. Such features are fundamental to determine
its success. Then use of reconfigurable hardware for data processing
at package level is the state of the art for this type of
systems. This approach eliminates the various layers of software that
exists in traditional systems and allows both data preprocessing and
decision-making algorithms to be implemented directly in hardware
circuits using dedicated communication channels. This project aims to
construct such HFT system based on FPGA device, including resources to
access the financial market directly via FIX/FAST protocol and to
interface with software processors for hardware configuration and
monitoring. The research will be led jointly by Dr. Vanderlei Bonato.
Requirements: Applicants should have PhD in Computer Science or
related fields with experience in hardware development for FPGAs,
hardware description languages, high level synthesis languages, design
space exploration, and modeling and solving optimization problems. It
is also desirable to have experience in developing interfaces for
Gigabit Ethernet devices and DDR3 and DDR4 memories. The applicant
must have got their PhD in the last 5 years.
Application: Please send your application until June 4, 2019 to: Dr.
Vanderlei Bonato ( vbonato@usp.br ) indicating 'CEPID Postdoc - HFT'
in the subject line. Applications should include curriculum vitae,
statement of research interests and two contact information for
recommendation purpose (only PDF files).
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: Onkar Sahni sahni@rpi.edu
Date: May 05, 2019
Subject: Postdoc Position, Scientific Computation Research Center, RPI


Scientific Computation Research Center,
Rensselaer Polytechnic Institute, Troy, NY
Post Doctoral Research Associate

Position Responsibilities: The Scientific Computation Research Center
(www.scorec.rpi.edu) at Rensselaer is seeking highly qualified
post-doctoral research associates to develop parallel adaptive
unstructured mesh technologies that will be applied in multiple
application areas involving compressible flows with strong shocks,
multiphase flows with phase change, flow over rotors, evolving
geometry and others related areas. The successful candidates will
develop and implement parallel algorithms that effectively operate on
the current and future heterogeneous massively parallel computer
systems to support unstructured mesh methods, anisotropic mesh
adaptation, discontinuity capturing, simulation driven evolution of
geometry and meshes over complex domains, etc. The successful
candidates must be able to interact with faculty, research staff and
students in the Scientific Computation Research Center. The successful
candidates will also be required to interact with sponsors.

Qualifications: PhD in Engineering, Applied Mathematics,
Computer/Computational Science, or related discipline. Expertise in a
subset of the following areas: Unstructured meshing
generation/adaptation technologies; Error estimation and indication
for anisotropic adaptation; Feature detection such as shocks;
Development and execution of parallel unstructured adaptive simulation
technologies. Proficiency in FORTRAN, C and/or C++ programming
languages and GNU/Linux operating system is required. Good knowledge
of parallel programming and high-performance computing. Experience in
large-scale software development. Knowledge of modern software
engineering tools will be considered favorably.

Close Date: Evaluation of applications will begin immediately and
continue until the position is filled.

Contact: Interested applicants should send a copy of their latest CV
with a cover letter or email and names of at least three references.
Applications should be submitted electronically and addressed to
Prof. Onkar Sahni (sahni@rpi.edu).



From: Eric C. Cyr eccyr@sandia.gov
Date: May 03, 2019
Subject: Postdoc Position, Scientific Machine Learning, Sandia National Laboratories


We are seeking a driven Postdoctoral Appointee with a real passion for
research in computational science and numerical algorithm development
to undertake a challenging research program developing and improving
scalable techniques for Scientific Machine Learning. You will possess
a strong research track record in at least one of the following areas:
multigrid methods, domain decomposition, parallel-in-time solvers or
large-scale optimization. Additional expertise in machine learning and
neural networks is desirable but not required. Day to day activities
will include algorithm development, implementation, executing studies
on state of the art HPC platforms, writing scientific publications,
and presenting research results at conferences. You'll contribute to
open source software implemented primarily in C++. In addition, strong
written and oral communication skills are required for this research
position. The expectation is to author academic publications and
present at technical meetings. Some travel is required.

To apply visit https://tinyurl.com/y6oa9rs9, or visit the Sandia
"Careers" page and search for Job ID 667221.


From: Zoran Levnajic zoran.levnajic@fis.unm.si
Date: April 29, 2019
Subject: Postdoc Position, Simulations, Faculty of Information Studies, Slovenia


Open postdoc position in condensed matter simulations at
Faculty of information studies in Novo mesto, Slovenia

The position is in FLAG-ERA project Preparation and characterization
of single/few layer antimonene and germanium
(https://www.flagera.eu/wp- content/uploads/2019/01/2D-SbGE.pdf),
which is already underway. The project revolves around development of
new 2D materials (from one to several atomic layers of thickness)
based on antimony and germanium, which have a huge applicative
potential. The project's goal is to understand how to create and use
these new materials. Candidate\371s research work. While the
materials will be physically produced in the labs of partner
institutions in Spain and Germany, the work of the postdoc candidate
will be focused on computer simulations/modeling aimed at predicting
the physical/chemical properties of these (and potentially some new)
2D materials. Numerical outputs will be compared to the experimental
results. Methodological details are to be discussed, but will in
principle involve DFT simulations and machine learning methods
(e.g. predicting the conductance/conductivity by training a supervised
algorithm on selected disordered systems, or using genetic algorithms
for optimization of tight-binding). All necessary computing resources
are available, including 600 CPU cores devoted exclusively to this
research. Degree and expertise requirements. Strongly motivated
candidate should hold a PhD in physics, chemistry or computer science,
and have (at least some) expertise in simulating quantum systems in
the context of material science. Employment details. Contract is for
two years starting ASAP. Net salary is approx. 1,400 EUR per month
plus all employment benefits (full health insurance, retirement funds,
etc). Position is research-only.

Interested send CV and publication record to zoran.levnajic@fis.unm.si



From: Camille Carvalho ccarvalho3@ucmerced.edu
Date: April 29, 2019
Subject: Postdoc Position, Univ of California, Merced


A postdoc position in the Department of Applied Mathematics at the
University of California, Merced is available in Professor Camille
Carvalho's research group.

The postdoctoral scholar will perform research on numerical methods
for electromagnetic interface problems. The researcher will derive and
analyze different interface problems formulations, develop and
implement numerical methods.

The search will remain open until the position is filled. Interested
candidates can contact Camille Carvalho at (ccarvalho3@ucmerced.edu)
and/or apply at: https://aprecruit.ucmerced.edu/JPF00773



From: Stig Larsson stig@chalmers.se
Date: May 03, 2019
Subject: PhD Position, Multi-scale Modelling of Paper


The Fraunhofer-Chalmers Center (FCC) and the Department of
Mathematical Sciences at Chalmers University of Technology,
Gothenburg, Sweden, invite applications for an industrial PhD student
position.

For more information, see

http://www.chalmers.se/en/about-chalmers/Working-at-
Chalmers/Vacancies/Pages/default.aspx?rmpage=job&rmjob=7515



From: Carolin Gietz carolin.gietz@uni-muenster.de
Date: April 30, 2019
Subject: PhD Positions, Mathematics Münster Graduate School


The Mathematics Munster Graduate School within the Cluster of
Excellence Mathematics Munster: Dynamics - Geometry - Structure offers
several PhD positions (75% position, salary level E13 TV-L) in all
fields of mathematics related to the cluster. The duration of these
positions is 3 years. The expected starting date is no later than
October 2019. Generally, there are no teaching obligations but such
opportunities are provided if desired by the candidates. The main
selection criterion is scientific excellence.

Your application should contain a cover letter, your CV, diplomas of
your academic degrees (bachelor, master or Diplom) and transcripts of
the courses taken, including marks or grades, as well as proof of your
proficiency in English and German. Moreover, you have to choose one or
two of the Research Areas as well as at least two potential local
supervisors listed as investigators of Mathematics Munster. Applicants
are requested to include examples of their academic work, if
applicable. Please arrange for at least two letters of recommendation
to be submitted within the deadline.

In the Ada Lovelace PhD-Programme of Mathematics Munster an Ada
Lovelace (add-on) PhD position (25% position, salary level E13 TV-L,
to be combined with a 75% PhD position) is offered for exceptionally
strong candidates of the PhD programme of Mathematics Munster and has
to be combined with a 75% PhD position. The Ada Lovelace PhD position
is to contribute to gender equality within the mathematical
sciences. This might for example be documented by an appropriate
gender equality concept.

Your application should contain a cover letter, your CV, diplomas of
your academic degrees and transcripts of courses taken, including
marks or grades. Applicants are requested to include examples of their
academic work, if applicable. Please arrange for a supporting
statement from at least one of the investigators of Mathematics
Munster to be submitted within the deadline. Applications for the Ada
Lovelace PhD position and for a 75% PhD position may be combined; you
may also apply for the Ada Lovelace position if you already hold a 75%
PhD position and are a member of Mathematics Munster.

The University of Munster is an equal opportunity employer and is
committed to increasing the proportion of women academics.
Consequently, we actively encourage applications by women. Female
candidates with equivalent qualifications and academic achievements
will be preferentially considered within the framework of the legal
possibilities. We also welcome applications from candidates with
severe disabilities. Disabled candidates with equivalent
qualifications will be preferentially considered.

Please apply using our online application form with further
instructions at:
www.uni-muenster.de/MathematicsMuenster/careers/doctoral-studies

If you have any questions, please contact
mm.applications@uni-muenster.de.

The evaluation for the current application round will start on 15 May
2019. Later applications can also be considered.


From: Murtazo Nazarov murtazo.nazarov@it.uu.se
Date: May 02, 2019
Subject: Contents, BIT Numerical Mathematics, 59 (1)


BIT Numerical Mathematics Volume 59, Issue 1, March 2019

On banded M-splitting iteration methods for solving discretized
spatial fractional diffusion equations, Zhong-Zhi Bai, Kang-Ya Lu

Multivariate data fitting with error control, Annie Cuyt, Oliver
Salazar Celis

Krylov integrators for Hamiltonian systems, Timo Eirola, Antti Koskela

Razumikhin-type technique on stability of exact and numerical
solutions for the nonlinear stochastic pantograph differential
equations, Ping Guo, Chong-Jun Li

A stabilised finite element method for the plate obstacle problem, Tom
Gustafsson, Rolf Stenberg, Juha Videman

Optimal quotients for solving large eigenvalue problems, Marko
Huhtanen, Vesa Kotila

Stable application of Filon-ClenshawCurtis rules to singular
oscillatory integrals by exponential transformations, Hassan Majidian

The time-fractional diffusion inverse problem subject to an extra
measurement by a local discontinuous Galerkin method, Samaneh Qasemi,
Davood Rostamy, Nazdar Abdollahi

Stability and convergence of a conservative finite difference scheme
for the modified Hunter-Saxton equation, Shun Sato

Pricing multi-asset option problems: a Chebyshev pseudo-spectral
method, Fazlollah Soleymani

A further analysis of backward error in polynomial deflation, Min
Wang, Yangfeng Su

Minimum residual Hermitian and skew-Hermitian splitting iteration
method for non-Hermitian positive definite linear systems, Ai-Li Yang,
Yang Cao, Yu-Jiang Wu



From: IMA Journal of Numerical Analysis charlotte.parr@oup.com
Date: April 29, 2019
Subject: Contents, IMA Journal of Numerical Analysis, 39 (1)


IMA Journal of Numerical Analysis
Links to all articles in this issue are available online at:
https://academic.oup.com/imajna/issue/39/1

Global rates of convergence for nonconvex optimization on manifolds,
Nicolas Bouma, P-A Absil, and Coralia Cartis

An a posteriori error bound for discontinuous Galerkin approximations
of convection-diffusion problems, Emmanuil H Geogoulis, Edward Hall,
and Charalambos Makridakis

Variational time discretization of Riemannian splines, Behrend
Heereen, Martin Rumpf, and Benedikt Wirth

Total variation diminishing schemes in optimal control of scalar
conservation laws, Soheil Hajian, Michael Hintermuller, and Stefan
Ulbrich

A partial differential equation for the \epsilon\epsilon-uniformly
quasiconvex envelope, Bilal Abbasi, and Adam M Oberman

A priori and a posteriori error control of discontinuous Galerkin
finite element methods for the von Karman equations, Carsten
Carstensen, Gourange Mallik, and Neela Nataraj

Elastic flow interacting with a lateral diffusion process: the one-
dimensional graph case, Paola Pozzi, and Bjorn Stinner

Preserving invariance properties of reaction diffusion systems on
stationary surfaces, Massimo Fritelli, Anotida Madzvamuse, Ivonne
Sgura, and Chandrasekhar Venkataraman

Quadratures with multiple nodes for Fourier-Chebyshev coefficients,
Gradimir V Milovanovic, Ramon Orive, and Miodrag M Spalevic

Near-minimal cubature formulae on the disk, Brahim Benouahmane, Cuyt
Annie, and Irem Yaman

Parametric integration by magic point empirical interpolation,
Maximilian Gass, and Kathrin Glau

An IMEX-RK scheme for capturing similarity solutions in the
multidimensional Burgers's equation, Jens Rottmann-Matthes

A mixed finite element method for a sixth-order elliptic problem,
Jerome Droniou, Muhammad Ilyas, Bishnu P Lamichhane, and Glen E
Wheeler

Optimal stencils in Sobolev spaces, Oleg Davydov, and Robert Schaback

Discontinuous Galerkin method for an elliptic problem with nonlinear
Newton boundary conditions in a polygon, Miloslav Feistauer, Filip
Roskovec, and Anna-Margarete Sandig

Truncated nonsmooth Newton multigrid methods for block-separable
minimization problems, Carsten Graser, and Oliver Sander

A group of immersed finite-element spaces for elliptic interface
problems, Ruchi Guo, and Tao Lin

Convergence of an MPFA finite volume scheme for a two-phase porous
media flow model with dynamic capillarity, X Cao, S F Nemadjieu, and I
S Pop



From: IMA Journal of Numerical Analysis charlotte.parr@oup.com
Date: April 29, 2019
Subject: Contents, IMA Journal of Numerical Analysis, 39 (2)


IMA Journal of Numerical Analysis
Links to all articles in this issue are available online at:
https://academic.oup.com/imajna/issue/39/2

Exact and inexact subsampled Newton methods for optimization, Raghu
Bollapragada, Richard H Byrd, and Jorge Nocedal

Increasing the smoothness of vector and Hermite subdivision schemes,
Caroline Moosmuller, and Nira Dyn

Asymptotically compatible discretization of multidimensional nonlocal
diffusion models and approximation of nonlocal Green's functions,
Qiang Du, Yunzhe Tao, Xiaochuan Tian, and Jiang Yang

Discretization error estimates for penalty formularions of a
linearized Canham-Helfrich-type energy, Carsten Graser, and Tobias
Kies

A convergent time-space adaptive dG(s) finite element method for
parabolic problems motivated by equal error distribution, Fernando D
Gaspoz, Kunibert Siebert, Christian Kreuzer, and Daniel A Ziegler

On the time growth of the error of the DG method for advective
problems, Vaclav Kucera, and Chi-Wang Shu

A posteriori estimates for the two-step backward differentiation
formula and discrete regularity for the time-dependent Stokes
equations, Eberhard Bansch, and Andreas Brenner

On accuracy of the mass-preserving DG method to multi-dimensional
Schrodinger equations, Hailiang Liu, Yungqing Huang, Wenying Lu, and
Nianyu Yi

Time-dependent semidiscrete analysis of the viscoelastic fluid flow
problem using a variational multiscale stabilized formulation, Gabriel
R Barrenechea, Ernesto Castillo, and Ramon Codina

A new class of exponential integrators for SDEs with multiplicative
noise, Utku Erdogan, and Gabriel J Lord

Explicit numerical approximations for stochastic differential
equations in finite and infinite horizons: truncation methods,
convergence in pth moment and stability, Xiaoyue Li Xuerong Mao, and
George Yin

A Galerkin BEM for high-frequency scattering problems based on
frequency-dependent changes of variables, Fatih Ecevit, and Hasan
Huseyin Eruslu

A time-dependent wave-thermoelastic solid interaction, George C Hsiao,
Tonatiuh Sanchez-Vizuet, Francisco-Javier Sayas, and Richard J
Weinacht

Parameter-free superconvergent H(div)-conforming HDG methods for the
Brinkman equations, Guosheng Fu, Yanyi Jin, and Weifeng Qiu

Adaptive vertex-centred finite volume methods for general second-order
linear elliptic partial differential equations, Christoph Erath, and
Dirk Praetorius

Numerical methods for changing type systems, Sebastian Franz, Sascha
Trostorff, and Marcus Waurick

On the Lebesgue constant of weighted Leja points for Lagrange
interpolation on unbounded domains, Peter Jantsch, Clayton G Webster,
and Guannan Zhang

Uniform convergence of a multigrid method for elliptic equations with
anisotropic coefficients, Xiaofan Yun, Chenxiang Qin, Jinbiao Wu, and
Hui Zheng



From: Information and Inference: A Journal of the IMA charlotte.parr@oup.com
Date: April 29, 2019
Subject: Contents, Information and Inference: A Journal of the IMA, 8 (1)


Information and Inference: A Journal of the IMA
Links to all articles in this issue are available online at:
https://academic.oup.com/imaiai/issue/8/1

Regularized gradient descent: a non-convex recipe for fast joint blind
deconvolution and demixing, Shuyang Ling, and Thomas Strohmer

The non-convex geometry of low-rank matrix optimization, Qiuwei Li,
Zhihui Zhu, and Gongguo Tang

Phase retrieval via randomized Kaczmarz: theoretical guarantees, Yan
Shuo Tan, and Roman Vershynin

Non-Gaussian observations in nonlinear compressed sensing via Stein
discrepancies, Larry Goldstein, and Xiaohan Wei

Quantization for low-rank matrix recovery, Eric Lybrand, and Rayan
Saab

Simple, direct and efficient multi-way spectral clustering, Anil
Damle, Victor Minden, and Lexing Ying



From: Yonghui Yu yyu@lsec.cc.ac.cn
Date: April 28, 2019
Subject: Contents, Journal of Computational Mathematics, 37 (3)


Journal of Computational Mathematics, Volume 37 (2019), Issue 3
http://www.global-sci.org/intro/articles_list/jcm/1474.html

Table of Contents

Alternating Direction Implicit Schemes for the Two-dimensional Time
Fractional Nonlinear Super-diffusion Equations, Jianfei Huang, Yue
Zhao, Sadia Arshad, Kuangying Li and Yifa Tang

An Unfitted hp-Interface Penalty Finite Element Method for Elliptic
Interface Problems, Haijun Wu and Yuanming Xiao

On the Validity of the Local Fourier Analysis, Carmen Rodrigo,
Francisco J. Gaspar and Ludmil T. Zikatanov

Quantization and Training of Low Bit-width Convolutional Neural
Networks for Object Detection, Penghang Yin, Shuai Zhang, Yingyong Qi
and Jack Xin

A Diagonally-implicit Time Integration Scheme for Space-time Moving
Finite Elements, Randolph E. Bank and Maximilian S. Metti

The Factorization Method for A Mixed Scattering Problem from A Bounded
Obstacle and An Open Arc, Qinghua Wu, Meilan Zeng, Wentao Xiong,
Guozheng Yan and Jun Guo

Derivative Sampling Expansions for the Linear Canonical Transform:
Convergence and Error Analysis, Mahmoud H. Annaby and Rashad
M. Asharabi

Numerical Solutions of Nonautonomous Stochastic Delay Differential
Equations by Discontinuous Galerkin Methods, Xinjie Dai and Aiguo Xiao

End of Digest
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