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NA Digest, V. 20, # 25

NA Digest Sunday, June 28, 2020 Volume 20 : Issue 25


Today's Editor:

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

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From: Francesca Mazzia francesca.mazzia@uniba.it
Date: June 26, 2020
Subject: Jeff Cash


"When a man dies, a whole world dies."

We are very sad to announce that Jeff Cash, Emeritus Professor at
Imperial College in London, passed away on June 19th. Jeff received
his Mathematics degree from Imperial College, London, in 1969 and then
moved to St. John's College, Cambridge, where he studied for a PhD on
the numerical solution of differential equations under the guidance of
Dr. J.C.P. Miller. Having completed his studies in Cambridge, Jeff
returned to Imperial College as a member of staff in the Mathematics
Department. He was subsequently promoted to reader and then to
Professor in Numerical Analysis. Jeff's research has been mainly
focused on the solution of difference and differential equations, with
an emphasis on mathematical software. In this field, he made
substantial contributions, among which are innovative numerical
methods and codes that have proven to be of great importance. Jeff
will stay in our memory as a cordial, generous, and upright person.
Yet, when living memory of him passes, the methods he created will
continue to serve us all.


From: Marion Weinzierl SORSE.enquiries@gmail.com
Date: June 26, 2020
Subject: International Series of Online Research Software Events


The international Series of Online Research Software Events (SORSE)
has opened their call for contributions:
https://sorse.github.io/programme/call-for-contributions/

With the cancellation of several international Research Software
Engineering (RSE) community events as a result of the COVID-19
pandemic, RSEs worldwide are facing a lack of opportunities to engage
with their wider community. To address this challenge, SORSE has been
launched by an international committee to provide an opportunity for
RSEs to develop and grow their skills, build new collaborations and
engage with RSEs worldwide. Until we can meet again in person, SORSE
(pronounced "Source"), will bridge the gap and be the source of
interesting and engaging events.

This is an open call to all RSEs and anyone involved with research
software, worldwide, to propose talks, workshops and other types of
online events.

The Call for Contributions form will remain open continuously and
there will be a rolling deadline at the end of the last day (UTC) of
each month, following which all contributions received over the
previous month will be sent for review by the Programme Committee.


From: Harbir Antil hantil@gmu.edu
Date: June 28, 2020
Subject: CMAI Colloquium


Under the newly created Center for Mathematics and Artificial
Intelligence (CMAI) http://cmai.gmu.edu/ at George Mason University,
Fairfax, VA, we are currently running a virtual Colloquium Series
https://cmai.gmu.edu/index.php/events/#colloquium .

We meet on Fridays at 10am (ET). In case you are interested in
joining, please email me at hantil@gmu.edu for the link.

Harbir Antil, Director CMAI



From: Mohammad Asadzadeh mohammad@chalmers.se
Date: June 26, 2020
Subject: New Book, An Introduction to the FEM for Differential Equations


An Introduction to the Finite Element Method for Differential Equations.
by Mohammad Asadzadeh

https://www.wiley.com/en-ai/search?
pq=%7Crelevance%7Cauthor%3AMohammad+Asadzadeh



From: Stephan Wojtowytsch stephanw@princeton.edu
Date: June 27, 2020
Subject: Mathematics of Machine Learning, ONLINE, Jul 2020


The one world seminar series on the mathematics of machine learning is
starting on Wednesday July 1st at 12 noon ET (5PM BST / 6PM CEST / 9AM
PT / 10AM MT / 11AM CT) on zoom. The first scheduled presentations are

July 1st - Weinan E (Princeton University): Towards a mathematical
understanding of supervised learning: What we know and what we don't
know

July 8th - Eric Vanden-Eijnden (Courant Institute, NYU): Trainability
and accuracy of artificial neural networks

July 15th - Anders Hansen (University of Cambridge): On the
foundations of computational mathematics, Smale's 18th problem and AI

July 24th (Sat) - Thematic day on the training of multilayer networks
in the mean field regime. Speakers: Konstantinos Spiliopoulos (Boston
University), Roberto Oliveira (IMPA), Huy Tuan Pham (Stanford
University)

If you are interested in the events, you can sign up for our mailing
list at https://groups.google.com/forum/#!forum/one-world-ml/join or
on our webpage https://www.oneworldml.org. If you have colleagues who
might be interested in the seminar series, we would be grateful if you
could forward this email. The zoom link will be published on our
webpage and mailing list closer to the event.



From: Ronnie Sircar sircar@princeton.edu
Date: June 25, 2020
Subject: Postdoc & Research Software Engineer Positions, ORFE, Princeton


The Department of Operations Research & Financial Engineering (ORFE)
at Princeton University invites applicants for two positions for the
project ``Stochastic Models, Indices & Optimization Algorithms for
Pricing & Hedging Reliability Risks in Modern Power Grids'', that is
funded by ARPA-E. The co-PIs at Princeton are Professors Rene Carmona
and Ronnie Sircar.

(i) A postdoctoral research associate position:
https://orfe.princeton.edu/jobs/jobid-106871

(ii) A professional specialist to serve as research software engineer:
https://orfe.princeton.edu/jobs/jobid-106869



From: Zhongqiang Zhang zzhang7@wpi.edu
Date: June 26, 2020
Subject: Postdoc Position, Numerical Analysis, Worcester Polytechnic

Institute, US

Prof. Zhongqiang Zhang at Worcester Polytechnic Institute has an
opening for a postdoc position. The 12-month postdoc position is
available immediately or no later than August 15, 2020. The research
topics for the position will be on designing and analyzing machine
learning algorithms for PDEs. The position will be supported by his
collaborative grant with Brown University and John Hopkins University.
Anyone with a background in at least one of the following areas is
welcome: numerical analysis of PDEs, calculus of variation and/or
PDEs, computational probability, uncertainty quantification. If
interested, please contact Prof. Zhang at zzhang7@wpi.edu.


From: Tamás Terlaky terlaky@lehigh.edu
Date: June 25, 2020
Subject: Postdoc Position, Quantum Computing and Optimization


Postdoctoral Position on Quantum Computing and Optimization
Quantum Computing and Optimization Laboratory,
Industrial and Systems Engineering Department,
Lehigh University, Bethlehem, PA, USA
http://QCOL.lehigh.edu/

Applications are invited for a postdoctoral position at the Quantum
Computing and Optimization Laboratory (QCOL), Industrial and Systems
Engineering (ISE) Department, Lehigh University
(http://QCOL.lehigh.edu/), as part of a recently awarded $2.1 million
DARPA grant (https://engineering.lehigh.edu/news/article/21m-darpa-
grant-puts-ise-faculty-vanguard-quantum-computing) for research in
optimization with Noisy Intermediate-Scale Quantum (NISQ) devices. We
seek outstanding candidates with a Ph.D. in operations research,
physics, computer science, applied mathematics or related areas with
research experience in the general area of Quantum Computing (QC). In
addition, demonstrated proficiency in verbal and written communication
skills and the ability to work in a collaborative, multidisciplinary
team are required. Some of the research directions that the QCOL is
pursuing are related, but not limited to: the development of new QC
results/techniques to address the solution of combinatorial
optimization problems with NISQ devices, the development of new QC
interior point algorithms, and the study and control of noise in NISQ
devices. Through collaborations, QCOL has access to IBM QC hardware
and software. Compensation will be commensurate with experience, and
the position is for one (1) year with the possibility of extension to
a second year. Interested applicants should submit a cover letter,
curriculum vita, a brief statement of research accomplishments and
contact information for at least three references to Prof. Tamas
Terlaky . Review of applications will begin immediately and will
continue until the position is filled. Questions concerning the
position can be directed to Prof. Tamas Terlaky, ISE Department at
terlaky@lehigh.edu.

Lehigh University is an affirmative action/equal opportunity employer.
Please check: https://www.lehigh.edu/~policy/university/eo.htm for
details.



From: Francesco Tudisco francesco.tudisco@gssi.it
Date: June 28, 2020
Subject: Postdoc Positions, Numerical Linear Algebra, GSSI, L'Aquila, Italy


The GSSI - Gran Sasso Science Institute - invites applications for
three postdoctoral research fellowships. The positions are for two
years with the possibility of one additional year extension.

One position is funded by the CUIM Project for the following profile:
Mathematical modelling in physical and life sciences, theory
(deterministic and stochastic), numerics and applications

Two positions are on any of the following themes: Numerical methods
for Partial differential equations and Dynamical systems, Numerical
linear algebra, Mathematical models in Fluid dynamics and Biology,
models of collective behavior, dynamics on networks. Stochastic
differential equations, stochastic methods in statistical mechanics,
hydrodynamic limits. Computational methods in seismology with
experience in HPC. Mathematical methods for quantum computing,
mathematics in quantum cryptography.

GSSI is an international school of advanced studies in Mathematics,
Physics, Computer Science and Social Science located in L'Aquila,
Italy. Located in the heart of the Apennine Mountains east of Rome,
the institute offers a stimulating environment, with numerous PhD
students and postdoctoral researchers selected internationally every
year. English is the official language of the institute.

Deadline for applications: July 23

For more info:
https://www.gssi.it/
https://applications.gssi.it/postdoc/
https://applications.gssi.it/postdoc/docs/2020-1/Callpostdoc2020.pdf


From: Alireza Doostan doostan@colorado.edu
Date: June 26, 2020
Subject: Postdoc Positions, UQ, Machine Learning, and CFD


Applications are invited for multiple postdoctoral positions available
immediately in the Smead Aerospace Engineering Sciences Department at
the University of Colorado, Boulder.

Position 1. The appointees will conduct fundamental research in broad
areas of data- driven modeling, uncertainty quantification, and
machine learning, with a particular focus on multi-fidelity modeling,
generative modeling, transfer learning, deep neural networks, and
inverse problems. Applicants must have a Ph.D. in areas related to
computational sciences or engineering and at least one of the
aforementioned areas. The positions are for the duration of one year
with the possibility of extension to three years. The appointee will
be working with Prof. Alireza Doostan and a team of experts on
large-scale, multi-physics, and multi- scale modeling of complex
systems and their HPC implementations. The interested candidates
should submit a CV, a brief (max one page) statement of
researchinterests, and contact information of two references to
Prof. Doostan (doostan@colorado.edu). Questions about these positions
may be directed to Prof. Doostan.

Position 2. The appointee will conduct fundamental research in
computational fluid dynamics, fluid-structure interaction, and
massively parallel simulation. Experience with GPU both for the fluid
dynamics simulation and data science/analytics is also
valued. Applicants must have a Ph.D. in areas related to computational
science, applied math, or engineering. The position is for the
duration of one year with the possibility of extension to three
years. The appointee will be working with Prof. Kenneth Jansen and a
team of experts collaborating on large-scale, multi-physics, multi-
scale modeling of porous and high energy materials, as well as their
implementation on systems approaching exascale performance. The
interested candidates should submit a CV, a brief (max one page)
statement of research interests, and contact information of two
references to Prof. Kenneth Jansen
(kenneth.jansen@colorado.edu). Questions about this position may be
directed to Prof. Jansen.


From: Ed Saff Constructive.Approximation@vanderbilt.edu
Date: June 26, 2020
Subject: Contents, Constructive Approximation, 51 (3)


Constructive Approximation
Volume 51, Issue 3, June 2020
Table of Contents

Asymptotic Greediness of the Haar System in the Spaces Lp[0,1], 1 < p
< 8, Fernando Albiac, Jose L. Ansorena and Pablo M. Berna

Rigidity of the Hamburger and Stieltjes Moment Sequences, Alexander
Dyachenko

Existence of Meromorphic Solutions of First Order Difference
Equations, Risto Korhonen and Yueyang Zhang

Morrey Sequence Spaces: Pitt's Theorem and Compact Embeddings,
Dorothee D. Haroske and Leszek Skrzypczak

Five Point Energy Minimization: A Synopsis, Richard Evan Schwartz

Moment Preserving Local Spline Projection Operators, Martin Campos
Pinto

Constructive Approximation
An International Journal for Approximations and Expansions
Published by Springer
http://link.springer.com/journal/365


From: Irena Lasiecka lasiecka@memphis.edu
Date: June 25, 2020
Subject: Contents, Evolution Equations and Control Theory, 9 (2)


CONTENT: Evolution Equations & Control Theory
June 2020, Volume 9, Issue 2

1. On the three dimensional Kelvin-Voigt fluids: global solvability,
exponential stability and exact controllability of Galerkin
approximations, Manil T. Mohan

2.Regularized solution for a biharmonic equation with discrete data,
Tran Ngoc Thach, Nguyen Huy Tuan and Donal O'Regan

3. Decay rates for second order evolution equations in Hilbert spaces
with nonlinear time-dependent damping, Jun-Ren Luo and Ti-Jun Xiao

4.Stochastic porous media equations with divergence Ito noise, Ioana
Ciotir

5.Null-controllability properties of a fractional wave equation with a
memory term, Umberto Biccari and Mahamadi Warma

6. Existence of mass-conserving weak solutions to the singular
coagulation equation with multiple fragmentation, Prasanta Kumar Barik

7. Moving and oblique observations of beams and plates, Philippe
Jaming and Vilmos Komornik

8. Robust attractors for a Kirchhoff-Boussinesq type equation, Zhijian
Yang, Na Feng and Yanan Li

9. On a Kirchhoff wave model with nonlocal nonlinear damping, Vando
Narciso

10. Uniform stabilization of a wave equation with partial Dirichlet
delayed control, Xiaorui Wang and Genqi Xu

11. Null controllability for a heat equation with dynamic boundary
conditions and drift terms, Abdelaziz Khoutaibi and Lahcen Maniar

12. On a backward problem for two-dimensional time fractional wave
equation with discrete random data, Nguyen Huy Tuan, Tran Ngoc Thach
and Yong Zhou

2018 Impact Factor: 1.048


End of Digest
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