NA Digest, V. 18, # 38

NA Digest Sunday, September 23, 2018 Volume 18 : Issue 38


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: Uri Ascher ascher@cs.ubc.ca
Date: September 23, 2018
Subject: Correction: PNWNAS, Canada, Oct 2018


The next one-day meeting of the Pacific Northwest Numerical Analysis
Seminar (PNWNAS) will take place at the University of British
Columbia, Vancouver, Canada, on October 13, 2018. The PNWNAS brings
together people interested in scientific computing, numerical
analysis, and computational mathematics from academia, government
research labs and industry from around the Pacific Northwest region
and beyond. PNWNAS has been held annually since 1987 at different
locations in the region.

Confirmed speakers are:
Ron Estrin
Jay Gopalakrishnan
Eldad Haber
Danny Kaufman
Sherry Li
Michael Overton
Steve Ruuth
Andy Wan

Please see our web site http://www.cs.ubc.ca/~greif/PNWNAS2018/ for
the program, registration details, and information regarding travel
and limited student support.

We gratefully acknowledge support from the Pacific Institute for the
Mathematical Sciences (PIMS) and the Society of Industrial and Applied
Mathematics (SIAM).



From: Ana Luisa Custodio alcustodio@fct.unl.pt
Date: September 23, 2018
Subject: Correction: PhD Position, Multiobjective Derivative-free Optim, Univ Nova de Lisboa


One MSc fellowship is opened at Faculdade de Ciencias e Tecnologia of
Universidade Nova de Lisboa, Portugal, under the scope of the project
BoostDFO: Improving the performance and moving to newer dimensions in
Derivative-Free Optimization (PTDC/MAT-APL/28400/2017).

We are looking for a talented student, which will be integrated in a
research team, developing robust and efficient algorithms for
Multiobjective Derivative-free Optimization.

Applicants must hold an MSc in Mathematics and have applied or commit
to apply in 2018/19 for a PhD program at the Department of Mathematics
of Faculdade de Ciencias e Tecnologia of Universidade Nova de Lisboa,
Portugal.

More information regarding the application can be found at:

http://www.eracareers.pt/opportunities/index.aspx?task=global&jobId=103817&lang=pt

The application deadline is 15th October 2018.

For more information, please contact the PI project, Ana Luisa
Custodio (alcustodio@fct.unl.pt).



From: Yang Qi yangqi@math.uchicago.edu
Date: September 20, 2018
Subject: Pierre Comon wins French Academy of Sciences IMT Grand Prize


Pierre Comon has been awarded the IMT Grand Prize by the French
Academy of Sciences for his exceptional scientific contributions in
the fields of digital technology and environment. The judging panel
cited his outstanding body of works in Blind Source Separation,
Independent Component Analysis, Theory of Nonnegative Tensors, and
their Applications to Environmental Science. The award will be
presented at a formal ceremony in November at the Institut de France.

http://www.academie-sciences.fr/en/Laureats/les-laureats-des-prix-2018.html


From: Hans De Sterck hans.desterck@monash.edu
Date: September 21, 2018
Subject: Call for Nominations, SIAG/CSE Best Paper Prize


Nominations are due by November 15, 2018 for the Best Paper Prize of
the SIAM Activity Group on Computational Science and Engineering
(CSE), which will be awarded for the first time at the 2019 SIAM CSE
conference in Spokane, Washington, USA, February 25 - March 1, 2019.

The prize recognizes a paper that makes an outstanding and potentially
long-lasting contribution to the CSE field, as determined by the prize
committee. The selection criteria emphasize multidisciplinary work
opening up new areas of research, and potential broad impact, in
addition to novelty, creativity, and overall scientific advancement
and quality. To promote the diversity and inclusiveness of the CSE
community, nominations of papers authored or co-authored by women and
minorities are encouraged.

For the 2019 award, the paper must have been published between the
dates of January 1, 2014 - December 31, 2017. The qualifying paper
must be published in English, in a peer-reviewed journal.

Nominations require: Nominator's letter of recommendation for
candidate paper; Bibliographic citation for candidate paper; and
Digital version of candidate paper (PDF required).

Please see
https://www.siam.org/Prizes-Recognition/Activity-Group-Prizes/Detail/siag-cse-best-paper-
prize
for further information and for instructions on submitting a
nomination.



From: Dominique Orban dominique.orban@gerad.ca
Date: September 23, 2018
Subject: Call for Nominations, COIN-OR Cup


CALL FOR NOMINATIONS: 14th annual "COIN-OR Cup" competition sponsored
by the COIN-OR Foundation.

The COIN-OR Cup recognizes and celebrates the best contributions to
open source operations research software development and use
associated with the COIN-OR software collection. To remind you,
COIN-OR stands for "COmputational INfrastructure for OPerations
Research". It is the definitive collection of free open source
operations research software that lets you concentrate on your
research instead of re-implementing software. See
https://www.coin-or.org/. Get on board!

GUIDELINES FOR COIN-OR CUP SUBMISSIONS:

A submission or nomination must contain:
1. A synopsis of an effective use of COIN-OR or valuable contribution
to COIN-OR (or both!), including an explanation of its
significance. Maximum 3 pages (pdf format).
2. Copies of relevant papers or documents (pdf format).

We especially encourage nominations describing effective use of
COIN-OR that the community may not know about. Self-nominations are
welcome.

Submission deadline: Friday, October 5, 2018.

Please e-mail your submissions to coin-cup@coin-or.org in a single
zipped archive, containing a description of your submission and copies
of all relevant papers/documents in pdf format.

The winner must accept the prize in person at the 2018 INFORMS Annual
Meeting so we can all celebrate appropriately (see below).

The 2018 COIN-OR Cup will be awarded at a celebration on Monday
November 5 during the INFORMS Annual meeting in Phoenix, AZ. All
entrants, supporters, and other interested parties are welcome to join
the celebration and regale, rile, and roast the prize winners. Details
of the event will be announced later.

The winning entry will be announced at this celebration event, and
posted on the COIN-OR website https://www.coin-or.org/



From: Claude Brezinski claude.brezinski@univ-lille.fr
Date: September 18, 2018
Subject: Commemoration, Anfré-Louis Cholesky


On 31 August 2018, it was the centenary of the death of Cholesky.

See:
C. Brezinski, D. Tournès
Anfré-Louis Cholesky
Mathematician, Topograoher and Army Officer
Birkhäuser, Basel, 2014


From: Daniel B Szyld szyld@temple.edu
Date: September 18, 2018
Subject: Mid-Atlantic NA-Day, USA, Nov 2018


This year's Mid-Atlantic Numerical Analysis Day will take place at
Temple University in Philadelphia on Friday the 9th of November.
(Deadline for submission is October 15).

The keynote speaker is Tim Warburton, from Virginia Tech whose talk is
titled "On building an Exascle-ready high-order finite element
solver."

The purpose of the one-day meeting is to provide a forum for Graduate
Students and Postdoctoral Fellows, i.e., researchers and practitioners
at the very beginning of their careers, from the Mid-Atlantic region,
to exchange ideas in numerical analysis, scientific computing and
related application areas.

The meeting will start at 10am to allow same-day travel.

Registration is free, but we ask everyone to register (even if
attending only, i.e., no talk or poster).

The website is: https://www.math.temple.edu/events/conferences/na-day/

Please circulate this information among colleagues, postdocs and
graduate students.



From: Carolyn Sellers carolyn.sellers@brunel.ac.uk
Date: September 19, 2018
Subject: Mathematics of Finite Elements (MAFELAP), UK, Jun 2019


MAFELAP 2019: 17 - 21 June 2019, Brunel University London, England

MAFELAP 2019, the sixteenth conference on the Mathematics of Finite
Elements and Applications, will take place at Brunel University London
during 17 - 21 June 2019. Preliminary information is available on the
conference website: http://www.brunel.ac.uk/mafelap. Apologies for
cross-posting if you are already on our contact list, although we
would be grateful if you could also circulate this information to
interested colleagues.

As on previous occasions the conference will consist of plenary
lectures, mini-symposia and parallel sessions. To propose a mini-
symposia for MAFELAP 2019 please send an email to mafelap-mini-
symposia@brunel.ac.uk with your name, those of any intended co-
organizers, and a tentative title. There is no formal review process -
we will follow the practice of previous years and encourage the
running of any mini-symposia related to the general MAFELAP themes and
areas of interest in and around the theoretical and application
advances in computational methods.

The current list of planned mini-symposia is here:
http://people.brunel.ac.uk/~icsrsss/bicom/mafelap/#ms

If you are new to the MAFELAP conferences you can get a flavour of
what they involve from the web pages of the previous two conferences:
http://people.brunel.ac.uk/~icsrsss/bicom/mafelap2016 and
http://people.brunel.ac.uk/~icsrsss/bicom/mafelap2013

We hope to hear from you and welcome you at Brunel in 2019.


From: Michail D Todorov mtod@tu-sofia.bg
Date: September 23, 2018
Subject: AMiTaNS'19, Bulgaria, 2019


The Euro-American Consortium for Promotion of the Application of
Mathematics in Technical and Natural Sciences is pleased to announce
its 11th Conference AMiTaNS'19 to be held in the 5-star Flamingo Grand
hotel in Albena, Bulgaria.

The conference will be scheduled in plenary and keynote lectures
followed by special and contributed sessions. The accents of the
conference will be on Mathematical Physics, Solitons and Transport
Processes, Numerical Methods, Scientific Computing, Continuum
Mechanics, Applied Analysis, Applied Physics, Biomathematics, which
can be complemented by some specific topics in contributed special
sessions. You are welcomed to announce and organize special sessions
that should be within the general topic of the conference. Please
send your announcements to conference@eac4amitans.eu.


From: James Wolfe james_wolfe@mentor.com
Date: September 21, 2018
Subject: Software Engineer Position, Mentor Graphics, USA


Company: Mentor Graphics
Job Title: Software Development Engineer - PEX- 8912
Job Location: USA - OR - Wilsonville
Job Category: R&D/Software Engineering

We are looking for a highly motivated software engineer to work on the
Calibre engineering team in the Design to Silicon business unit. You
will be part of a team responsible for designing, developing,
debugging and supporting the Calibre Parasitic Extraction
software. Development responsibilities will span different software
tools including computation engines, application software, APIs, and
utilities. You will collaborate with a senior group of software
engineers contributing to final production level quality of new
components and algorithms and to support support existing parasitic
extraction related products.

MS or PhD in Electrical Engineering or related discipline; Prior
experience with development of capacitance extraction engines, field
solver based is highly recommended; IC CAD experience and solid
knowledge of semiconductor processes and device physics, modeling, and
simulation is a plus; Understanding of numerical methods like Finite
Elements and numerical solvers for Maxwell's equations is a plus;
Knowledge of C, C++ is necessary; Strong ability to learn and explore
new technologies; Strong analysis and problem solving skills; Prior
experience with large software development projects is highly
recommended; Excellent programming and software engineering skills;
Experience with multithreaded and/or distributed programming ;
Experience with UNIX and/or LINUX platforms is recommended;
Willingness to travel overseas; Self-motivation, self-discipline and
the ability to set and work consistently towards personal goals

For more information and to apply directly please use the following link:
https://chc.tbe.taleo.net/chc01/ats/careers/v2/viewRequisition?
org=MENTOR&cws=44&rid=8912

This position may require access to export-controlled technology. If
an export license is required and Mentor Graphics elects to apply for
such a license, then candidates must be approved and licensed by the
applicable government authorities as a condition of employment.


From: Chao Yang CYang@lbl.gov
Date: September 18, 2018
Subject: Computational Research Scientist Position, Lawrence Berkeley National Laboratory


The Scalable Solvers Group in the Computational Research Division
(CRD) at Lawrence Berkeley National Laboratory (LBNL) is looking for a
Career-Track Research Scientist to join the group to engage in
research on the design and implementation of algorithms for solving
large-scale linear and nonlinear eigenvalue problems that are of
interest to the U.S. Department of Energy (DOE).

The Computational Research Scientist will be expected to contribute to
algorithmic design and code development in several areas of eigenvalue
computation research. In particular, the candidate is expected to
develop rational Krylov approximation based nonlinear eigenvalue
computational methods, model order reduction methods for solving
linear response eigenvalue problems, and novel algorithms for solving
tensor eigenvalue problems using tensor train and tensor networks
representation of the eigenfunctions. In addition, the successful
candidate will participate in multidisciplinary teams involving
mathematicians, computer scientists, and domain scientists for
developing and deploying eigenvalue computation techniques and codes
in the solution of DOE science problems.

More information on application requirements can be found at
https://jobs.lbl.gov/jobs/computational-research-scientist-1083

The deadline of application is: Sept 30, 2018.


From: Melanie Regis m.regis@jobtarget.com
Date: September 21, 2018
Subject: Faculty Position, Operations Research and Information Engineering


A faculty position in Operations Research and Information Engineering
(ORIE) is available at the Cornell Tech campus in New York City. The
position is part of the Jacobs Technion-Cornell Institute.

The position is within Cornell University's School of ORIE, and
applicants with research interests represented within Cornell ORIE are
welcome at all levels, including tenured and tenure-track. The School
consists of a diverse group of high-quality researchers and educators
interested in probability, optimization, statistics, simulation, and a
wide array of applications such as e-commerce, supply chains,
scheduling, manufacturing, transportation systems, health care,
financial engineering, service systems and network science. Cornell
ORIE spans both the Ithaca and New York City campuses, but the
successful candidate's teaching and research will be based in New York
City.

Candidates must hold a Ph.D. in operations research, mathematics,
statistics, or a related field by the start of the appointment, and
have demonstrated an ability to conduct outstanding research at the
level of tenure-track or tenured faculty in Cornell ORIE. The
successful candidate will be expected to pursue an active research
program, to teach Master's and Ph.D.-level graduate courses, and to
supervise graduate students.

All applications completed by November 16, 2018 will receive full
consideration, but we urge candidates to submit all required material
as soon as possible. We will accept applications until we fill the
positions.

Applications are on-line at
https://academicjobsonline.org/ajo/jobs/12018
Inquiries about your application may be directed to Sheri Minarski
at slm339@cornell.edu.

Diversity and Inclusion are a part of Cornell University's
heritage. We are a recognized employer and educator valuing AA/EEO,
Protected Veterans, and Individuals with Disabilities.

Apply Here: http://www.Click2apply.net/s83dbmy465qxdqkf

PI104475450



From: Hannah Gay Ico h.ico@jobtarget.com
Date: September 21, 2018
Subject: Faculty Positions, ORIE, Cornell Univ


Cornell University's School of Operations Research and Information
Engineering (ORIE) seeks to fill multiple tenured/tenured-track
faculty positions for its Ithaca campus. We will primarily consider
applicants with research interests in the areas of discrete
optimization and financial engineering, especially those individuals
who do computation, who work with data, or whose work intersects with
machine learning. Nevertheless, we welcome strong applicants from all
research areas represented within ORIE, especially those in resonance
with the College of Engineering Strategic Areas:
https://www.engineering.cornell.edu/research-and-faculty/strategic-areas-research.

Requisite is a strong interest in the broad mission of the School,
exceptional potential for leadership in research and education, an
ability and willingness to teach at all levels of the program, and a
Ph.D. in operations research, mathematics, statistics, or a related
field by the start of the appointment. Salary will be appropriate to
qualifications and engineering school norms.

Please apply online at https://academicjobsonline.org/ajo/jobs/11870
with a cover letter, CV, statements of teaching and research
interests, sample publications, at least three reference letters and,
for junior applicants, a doctoral transcript. All applications
completed by November 16, 2018 will receive full consideration, but we
urge candidates to submit all required material as soon as
possible. We will accept applications until we fill the positions.

Cornell University seeks to meet the needs of dual career couples, has
a Dual Career program, and is a member of the Upstate New York Higher
Education Recruitment Consortium to assist with dual career
searches. Visit www.unyherc.org/home to see positions available in
higher education in the upstate New York area.

Diversity and Inclusion are a part of Cornell's heritage. We are a
recognized employer and educator valuing AA/EEO.



From: Sebastian Reich sreich@math.uni-potsdam.de
Date: September 16, 2018
Subject: Professorship Position, Uncertainty Quantification, Univ of Potsdam


The University of Potsdam, Faculty of Science, Institute of
Mathematics invites applications for a W 1- Junior Professorship
"Uncertainty Quantification" Candidates are expected to have a strong
research profile in the area of uncertainty quantification or related
areas of statistics, applied mathematics, and machine learning with
connections to the field of data assimilation. In particular, the
successful candidate is expected to develop a research program in the
field of uncertainty quantification as part of the Collaborative
Research Centre (SFB) 1294 "Data Assimilation - The seamless
integration of data and models". Successful candidates will have
demonstrated the ability to combine theoretical and algorithmic
advances with applications to problems of practical relevance. The
candidate is expected to contribute to the teaching curriculum of the
MSc Mathematics and the new MSc Data Science. Applications (with a
presentation of your research interests, teaching statement,
curriculum vitae, copies of academic certificates and documents, a
list of publications, a list of conducted courses, a list of
externally funded projects) should be sent to the University of
Potsdam ausschreibungen@uni-potsdam.de till October 9th. Informal
inquires about the post can be directed to the Head of the Institute
of Mathematics, Prof. Wilhelm Huisinga (huisinga@uni-potsdam.de).


From: Christian Himpe himpe@mpi-magdeburg.mpg.de
Date: September 19, 2018
Subject: Postdoc Position, Model Reduction for Hyperbolic Systems


The Max Planck Institute for Dynamics of Complex Technical Systems in
Magdeburg is looking for a postdoctoral researcher with solid
experience in model order reduction and an interest to get involved in
model order reduction for hyperbolic systems. Moreover, the candidate
will be part of the MathEnergy project, a cooperation research project
between universities, research institutes and industry. The MathEnergy
project is aimed at developing a library of software components for
the simulation of gas and power networks as well as their
interaction. The Max Planck Institute for Dynamics of Complex
Technical Systems develops new model reduction techniques for models
of such energy networks as part thereof.

Aspects of your research may include model reduction for hyperbolic
and nonlinear models of gas networks, hyper-reduction, data-driven
methods, time-stepping solvers, discretization of partial differential
equations, index reduction of differential algebraic equations, data
compression and parallel computing. Thus, the work environment has
facets of numerical linear algebra, numerical analysis and scientific
computing. On the network-coordination side, your duties will focus on
coordinating the scientific aspects considered in MathEnergy,
co-organizing project meetings and workshops, etc.

You should hold a PhD in Applied Mathematics with a focus on numerical
analysis, numerical linear algebra or scientific computing as well as
experience with model order reduction. You should possess a strong
ability for organizing scientific collaboration and you must be
willing to support the scientific administration of the
project. Fluency in written and spoken English is required. The
position is for two years with salary according to the German public
service wage agreement (TVoD E13 or E14, depending on
qualification). The position will be associated to the team
"Simulation of Energy Systems" led by Dr. Sara Grundel, which is part
of the department "Computational Methods in Systems and Control
Theory" at the Max Planck Institute for Dynamics of Complex Technical
Systems, headed by Prof. Dr. Peter Benner.

The Max Planck Society is committed to increasing the number of
individuals with disabilities in its workforce and therefore
encourages applications from such qualified individuals. Furthermore,
the Max Planck Society seeks to increase the number of women in those
areas where they are underrepresented and therefore explicitly
encourages women to apply.

Please send your application material, including a motivation letter,
CV, and contact-details of at least two references as one pdf-file to
sek-csc@mpi-magdeburg.mpg.de by September 30th, 2018.


From: Alan Heirich aheirich@slac.stanford.edu
Date: September 17, 2018
Subject: Postdoc Position, Stanford SLAC Computer Science, California USA


Mathematical optimization, numerical continuation, machine learning

This position is in the Computer Science division of the SLAC National
Accelerator Laboratory at Stanford University. The division is
directed by professor Alex Aiken of the Stanford Computer Science
department. Members of the division conduct fundamental research and
collaborate with groups on the Stanford campus and at other
institutions.

The project involves several related activities: Build a Machine
Learning model of a Free Electron Laser from simulations Implement a
novel gradient-free Machine Learning algorithm in C++ Design and
implement nonlinear programming models in AMPL Develop methods to
measure the quality and smoothness of solutions of the ML model

The position requires a PhD in Computer Science or a closely related
field. Previous experience with machine learning is not a strict
requirement for this position, but expertise with optimization and
continuation are essential. Software development skills and
experience are a plus.

The position is funded for two years with a possibility of renewal for
a third year. The position is available now and will be filled when a
suitable candidate is found.

Interested candidates should send a c.v. and personal statement of
interest to Alan Heirich at aheirich@slac.stanford.edu

The SLAC National Accelerator Laboratory is operated by Stanford
University for the Department of Energy. Stanford is an equal
opportunity employer and all qualified applicants will receive
consideration without regard to race, color, religion, sex, sexual
orientation, gender identity, national origin, disability, veteran
status, or any other characteristic protected by law.



From: Daniel B Szyld szyld@temple.edu
Date: September 18, 2018
Subject: Postdoc Position, Temple Univ, USA


A postdoctoral position is available to start July 1, 2019. Candidates
are sought in several areas including Applied and Computational
Mathematics. The applicant must identify a mentor in the Department
of Mathematics, Temple University, Philadelphia, PA, and indicate the
name of the mentor or mentors in the application through MathJobs.
https://www.mathjobs.org/jobs/jobs/12506

Screening of applications will begin on December 1st, 2018.



From: Tan Bui tanbui@ices.utexas.edu
Date: September 17, 2018
Subject: PhD/Postdoc Position, Inverse Problems+Machine learning, UT Austin


Due to recent grants from NSF, DOE, and DTRA: A PhD and a Postdoc
positions are immediately available Dr. Bui's Computational
Engineering and Optimization Group at the Institute for Computational
Engineering and Sciences, UT Austin.

Research Areas: Inverse problems, machine learning, high-order finite
element methods, and HPC

Requirements: Strong background in mathematics and computation

Salary: Competitive

Duration:
1) PhD: 4-5 years
2) postdoc: renewable each year based on the performance and the
position is available up to 4 years.

Please contact Tan Bui at tanbui@ices.utexas.edu for more details.



From: Frank E. Curtis frank.e.curtis@gmail.com
Date: September 17, 2018
Subject: PhD Position, Industrial and Systems Engineering (ISE), Lehigh Univ


The Department of Industrial and Systems Engineering (ISE) at Lehigh
University invites applications for its Ph.D. program.

Faculty and students in the department are involved in cutting-edge
research in a variety of extremely active areas including
- mathematical optimization,
- data science and machine learning,
- energy and service systems, and
- high-performance computing.

Our PhD alumni have been recruited by top universities, research
institutions, and companies. For more information, please see our
website: http://ise.lehigh.edu

Financial support is guaranteed for first-year students. Subsequent
support is available through research advisors and their federal,
state, and industry grants.

Please direct any questions to Frank E. Curtis


From: Stig Larsson stig@chalmers.se
Date: September 21, 2018
Subject: PhD Position, Mathematics for Artificial Intelligence


The Department of Mathematical Sciences of Chalmers University of
Technology and University of Gothenburg, Sweden, invites applications
for a PhD student position in "mathematics for artificial
intelligence".

The center "Wallenberg AI, Autonomous Systems and Software Program"
(WASP) is launching a program to develop the mathematical side of this
area, see http://wasp-sweden.org/ai-math/. The aim is to promote the
competence of Sweden as a nation within the area of AI. We are taking
part in this program through several research projects. We have
recently recruited three PhD students and we now seek one more PhD
student with a strong background in mathematics or mathematical
statistics for the project "Deepest learning using stochastic partial
differential equations" supervised by associate professor Annika Lang.

Application deadline: October 30, 2018
Starting date: January 1, 2019

More information and link to the online application system:
http://www.chalmers.se/en/about-chalmers/Working-at-
Chalmers/Vacancies/Pages/default.aspx?rmpage=job&rmjob=6690

For questions, please contact:
Stig Larsson, stig@chalmers.se
Annika Lang, annika.lang@chalmers.se



From: Jose E Castillo jcastillo@sdsu.edu
Date: September 17, 2018
Subject: PhD Positions, Southern California, USA


San Diego State University(SDSU) and University of California Irvine
(UCI) two hispanic serving institutions offer a joint
Interdisciplinary PhD program in Computational Science.

We offer graduate students, on a competitive basis, a broad range of
financial assistance options while they are pursuing their advanced
degree, including Teaching, Graduate and Research Assistantships and
Fellowships.

Areas of interest include: BioScience, Earth Science, Engineering
Science, Physical and Chemical Science, intersecting with Mathematical
Modeling and Scientific Computing.

Strong applicants with backgrounds in mathematics, the natural
sciences, computer science, or engineering are all considered.

Please check our web site for details about the program, including
application process.

http://www.csrc.sdsu.edu/doctoral.html

Don't hesitate to contact our center if you have any questions about
our program. Our email address is: csrc@mail.sdsu.edu


From: Claude Brezinski claude.brezinski@univ-lille.fr
Date: September 18, 2018
Subject: Contents, Numerical Algorithms, 79 (1)


Table of Contents
Numerical Algorithms, Vol. 79, No. 1

Convergence rates for Kaczmarz-type algorithms, Constantin Popa

Novel analytical and numerical techniques for fractional temporal SEIR
measles model, F. A. Abdullah, F. Liu, P. Burrage, K. Burrage, T. Li

On the eigenvalues of the saddle point matrices discretized from
Navier-Stokes equations, Na Huang, Chang-Feng Ma

Finite-difference method for singular nonlinear systems, Sandra
Buhmiler, Sanja Rapajic, Slavica Medic, Tatjana Grbic

Interval versions of Milne's multistep methods, Andrzej Marciniak,
Malgorzata A. Jankowska

AIR Tools II: algebraic iterative reconstruction methods, improved
implementation, Per Christian Hansen, Jakob Sauer Jorgensen

Modified basic projection methods for a class of equilibrium problems,
Pham Ngoc Anh, Tran T. H. Anh, Nguyen D. Hien

Some iterative methods for the largest positive definite solution to a
class of nonlinear matrix equation, Bao-Hua Huang, Chang-Feng Ma

New class of hybrid BDF methods for the computation of numerical
solutions of IVPs, Moosa Ebadi

A new subspace minimization conjugate gradient method with nonmonotone
line search for unconstrained optimization, Ming Li, Hongwei Liu,
Zexian Liu

Globally convergent Jacobi methods for positive definite matrix pairs,
Vjeran Hari

A new class of efficient one-step contractivity preserving high-order
time discretization methods of order 5 to 14, Abdulrahman Karouma,
Truong Nguyen-Ba, Thierry Giordano, Remi Vaillancourt

Boundary layer preconditioners for finite-element discretizations of
singularly perturbed reaction-diffusion problems, Thai Anh Nhan, Scott
MacLachlan, Niall Madden

Disguised and new quasi-Newton methods for nonlinear eigenvalue
problems, E. Jarlebring, A. Koskela, G. Mele

Galerkin-Legendre spectral schemes for nonlinear space fractional
Schrodinger equation, Hui Zhang, Xiaoyun Jiang, Chu Wang, Wenping Fan


End of Digest
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