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NADIGEST Home

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NADIGEST  August 2020, Week 4

NADIGEST August 2020, Week 4

Subject:

NA Digest, V. 20, # 32

From:

NA Digest Editor <[log in to unmask]>

Reply-To:

NA-Digest <[log in to unmask]>

Date:

Sun, 23 Aug 2020 21:32:00 -0600

Content-Type:

text/plain

Parts/Attachments:

Parts/Attachments

text/plain (391 lines)

[External Email]

Subject: NA Digest, V. 20, # 32

NA Digest  Sunday, August 23, 2020  Volume 20 : Issue 32

Today's Editor:

        Daniel M. Dunlavy
        Sandia National Labs
        [log in to unmask]

Today's Topics:

        SciML Updates: Catalyst, Neural PDEs, Lie Groups, Stochastic Delays
        CMAI Colloquium, George Mason Univ, Aug 2020
        Modelling the Cardiac Function, ONLINE, Aug-Sep 2020
        Differential Equations and Numerical Analysis, ONLINE, Oct 2020
        Domain Decomposition Methods, ONLINE, Dec 2020
        Postdoc Position, Computational Mathematics, BCAM
        Postdoc Position, MACROPISTAS, BCAM
        PhD Position, Computational Systems Biology, Univ of Memphis
        PhD Position, Equilibria for Energy Markets with Transport
        CONTENTS, Siberian Journal of Numerical Mathematics, 23 (3)

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: Christopher Vincent Rackauckas [log in to unmask]
Date: August 17, 2020
Subject: SciML Updates: Catalyst, Neural PDEs, Lie Groups, Stochastic Delays

The SciML software ecosystem has had two releases in the last month
thanks to overwhelming community support. These releases include:

- Catalyst: a new DSL for efficient forward and inverse problems
  on stochastic chemical reaction networks
- Adaptive Post-Leap Tau Leaping methods
- Methods for regular stepping on jump diffusions
- Automated adjoint methods for stochastic differential equations
- High weak order SDE solvers
- Continuous normalizing flows
- Sparse matrix support in ODE, SDE, and DAE adjoints
- NeuralPDE.jl: a physics-informed neural network PDE solver
  from symbolic descriptions of PDEs and a high-dimensional
  forward-backward method for parabolic PDEs
- Lie group integrators, like Magnus, Runge-Kutta-Munthe-Kaas,
  and Crouch-Grossman methods
- Solvers for stochastic delay differential equations and
  stochastic differential-algebraic equations
- Automated ensemble parallelism and multi-GPU usage with
  neural and universal differential equations
- Gradient-enhanced Kriging surrogates

and much more. Thank you to everyone involved in these developments,
including many from this community. For the full release notes, please
see the following links:
https://sciml.ai/news/2020/08/10/StochasticBonanza/
https://sciml.ai/news/2020/08/17/NeuralPDE/

-------------------------------------------------------

From: Harbir Antil [log in to unmask]
Date: August 20, 2020
Subject: CMAI Colloquium, George Mason Univ, Aug 2020

It is a pleasure to inform you that we will continue running the CMAI
Colloquium Series via Zoom during the Fall Semester. Our first talk
for the Fall Semester will be on August 28, 2020, at 10:00am (Eastern
Time) by Prof. Enrique Zuazua (FAU Erlangen).

If you are interested in joining the mailing list, please register:
https://cmai.gmu.edu/index.php/colloquium/1624-2/

This series has been highly successful throughout the summer. You can
find the list of previous talks (including videos) and the list of the
upcoming talks here: https://cmai.gmu.edu/index.php/events/#colloquium .
The talks cover a broad range of topics in Computational and
Applied Mathematics, including: Optimization, Control, Data Science,
Machine Learning, Inverse Problems, etc.

Some of the upcoming speakers are:
- Enrique Zuazua (FAU Erlangen)
- Rainald Loehner (George Mason University)
- Fioralba Cakoni (Rutgers University)
- Shawn Walker (Louisiana State University)
- Carola-Bibiane Schoenlieb (University of Cambridge)
- Drew P. Kouri (Sandia National Laboratories)
- Kevin T. Carlberg (Facebook)
- Boyan Lazarov (LLNL)
- Martin J. Gander (Geneva)
- Siddhartha Mishra (ETH Zurich)
- Noemi Petra (UC Merced)


-------------------------------------------------------

From: Luca Paglieri [log in to unmask]
Date: August 19, 2020
Subject: Modelling the Cardiac Function, ONLINE, Aug-Sep 2020

2020 iHEART Online Congress
Modelling the Cardiac Function
August 31 - September 2, 2020
https://iheart.polimi.it/mcf2020

This congress aims at highlighting the state of the art in the
mathematical modelling and numerical simulation of the cardiac
function and its clinical applications.

Plenary speakers:
Olaf Dossel (Karlsruhe Institute of Technology);
Francesco Migliavacca (Politecnico di Milano);
Rajat Mittal (Johns Hopkins U.);
Steven Niederer (King's College, London);
Luca Pavarino (U. Pavia);
Gernot Plank (U. Graz);
Seiryo Sugiura (U. Tokyo);
Natalia Trayanova (Johns Hopkins U.);
Edward Vigmond (U. Bordeaux);

Full program available at
https://iheart.polimi.it/mcf2020/MCF2020_Schedule.pdf

This is the Fourth Conference of the series MPF - Modelling the
Physiological Flows and is organized by MOX - Politecnico di Milano,
with the support of the EU ERC-ADG - Advanced Grant iHEART - Project
ID: 740132

For more information and registration, visit
https://iheart.polimi.it/mcf2020

-------------------------------------------------------

From: Natesan Srinivasan [log in to unmask]
Date: August 21, 2020
Subject: Differential Equations and Numerical Analysis, ONLINE, Oct 2020

Department of Mathematics, Indian Institute of Technology Guwahati is
organizing an International Conference on Advances in Differential
Equations and Numerical Analysis (ADENA 2020) during October 12-14,
2020 in online mode. This international conference focuses on various
aspects of differential equations, numerical analysis, applied
mathematics, mathematical physics and mathematical modelling &
simulation. It aims, in particular, at fostering cooperation between
researchers working on the area theoretical and numerical aspects of
differential equations and applications to various other fields of
science and engineering. Another goal of the ADENA2020 is to
strengthen the existing contacts and to establish new ones between
scientists from all over the world. The working language of the
conference is English.

All relevant information and updates can be found at
https://www.iitg.ac.in/maths/ext/adena2020/


-------------------------------------------------------

From: Felix Kwok [log in to unmask]
Date: August 21, 2020
Subject: Domain Decomposition Methods, ONLINE, Dec 2020

The 26th International Conference on Domain Decomposition Methods
(DD26), organized by the Chinese University of Hong Kong (CUHK), will
now take place ONLINE from December 7 to 12, 2020. The purpose of the
conference is to bring together mathematicians, computational
scientists and engineers who work in the main themes of Domain
Decomposition, including theoretical, algorithmic and implementation
aspects of domain decomposition methods, solvers for multiphysics
problems, parallel-in-time methods, multigrid and multilevel methods,
fast solvers and preconditioning, and applications of such methods in
physics and engineering.

We are now re-opening the call for proposals of minisymposia and
contributed talks that fit the themes of DD26. Proposals should be in
the form of a plain text e-mail to [log in to unmask] For
minisymposia, please provide a title, a short description of the
subject matter, and a list of speakers for the minisymposium.

Minisymposia may span one or more sessions, with each session
consisting of four 25-minute talks, with an additional 5 minutes after
each talk for questions. For contributed talks, please provide a title
an abstract. Deadline for proposal submission: September 20, 2020.

Please note that all minisymposia and contributed talks that were
approved for last December are automatically accepted. Minisymposium
organizers will soon receive an e-mail asking if they want to keep
their sessions, and whether there are any changes to the list of
speakers. Speakers from accepted contributed talks will also be asked
to confirm their participation via e-mail.

Thanks to the generous support of the Hong Kong Peihua Education
Foundation, we are now accepting applications for financial support,
including registration fee, from graduate students, postdocs and
junior faculty based in Mainland China. To be considered for funding,
please email a cover letter, including a statement about why you want
to participate, along with a CV to [log in to unmask] Deadline for
submissions: September 30, 2020.

For more information about DD26, please see the conference website at
https://www.math.cuhk.edu.hk/conference/dd26/?Conference-Home

-------------------------------------------------------

From: Irune Diaz Gonzalez [log in to unmask]
Date: August 17, 2020
Subject: Postdoc Position, Computational Mathematics, BCAM

IC2020_07_POSTDOCTORAL FELLOWSHIP IN COMPUTATIONAL MATHEMATICS

Requirements: Promising young researchers.  Applicants must have their
PhD completed before 31.08.2020. PhD degree in mathematics, computer
science, or related area.

Skills and track-record: Ability to effectively communicate and
present research ideas to researchers with different background.
Ability to clearly present and publish research outcomes in spoken
(talks) and written (papers) form.  Skilled in one of the following
programming languages: C, C++, C#, Python.  High level of spoken and
written English.  Good communication and interpersonal skills.

Scientific Profile: The researcher will work on an applied research
project, that deals with manufacturing of complex curved
objects. Possible research topics include, but are not limited to:
path planning algorithms for 5-axis computer numerically controlled
(CNC) machining and contact-based inspection, free-form surface
rationalization, and tool-shape design and optimization. Previous
experience in geometric modeling projects is particularly welcome.

Extended Deadline: 18th September 2020, 14:00 CET (UTC+1)

Apply at:
http://www.bcamath.org/en/research/job/ic2020-07-postdoctoral-fellowship-in-
computational-mathematics

-------------------------------------------------------

From: Irune Diaz Gonzalez [log in to unmask]
Date: August 21, 2020
Subject: Postdoc Position, MACROPISTAS, BCAM

IC2020_07_Postdoctoral Fellowship in CM - MACROPISTAS

Computational Mathematics.  The researcher will work on a Spanish
Ministry funded research project MACROPISTAS - MAnufacturing of CuRved
Objects via Path-desIgn of cuSTom-shAped toolS, that deals with
manufacturing of complex curved objects.  Possible research topics
include, but are not limited to: path planning algorithms for 5-axis
computer numerically controlled (CNC) machining and contact-based
inspection, free-form surface rationalization, and tool- shape design
and optimization. Previous experience in geometric modelling projects
is particularly welcome.

Requirements: Promising young researchers.  Applicants must have their
PhD completed before 31.08.2020. PhD degree in mathematics, computer
science, mechanical engineering, or related area.

Skills and track-record: Ability to effectively communicate and
present research ideas to researchers with different background.
Ability to clearly present and publish research outcomes in spoken
(talks) and written (papers) form.  Skilled in one of the following
programming languages: C, C++, C#, Python.  High level of spoken and
written English.  Good communication and interpersonal skills.
Skilled in manufacturing technologies such as machining.  Skilled in
CAM software.

APPLY AT:
http://www.bcamath.org/en/research/job/ic2020-07-postdoctoral-fellowship-in-cm-
macropistas

DEADLINE: 18TH SEPTEMBER, 2020

-------------------------------------------------------

From: Bernie J. Daigle, Jr. [log in to unmask]
Date: August 16, 2020
Subject: PhD Position, Computational Systems Biology, Univ of Memphis

Experimental biologists are generating data at an unprecedented rate.
Unfortunately, biological insight has not kept pace with this deluge
of data.  The goal of my lab is to improve the inference of biological
meaning from the wealth of experimental data collected from single
cells to whole organisms. To do so, we develop sophisticated
statistical and computational tools that enable integrated analyses of
noisy, heterogeneous datasets. More information on the lab can be
found at http://daiglelab.org.

Openings are available for students interested in pursuing a Ph.D. in
computational systems biology starting Spring 2021. Our research in
this area involves developing and applying computational methods for
inferring gene regulatory networks (GRNs) from single-cell gene
expression data.  Current projects include applying deep learning
techniques to rapidly and accurately infer GRNs from single-cell
RNA-sequencing data.

The successful candidate should be highly motivated and have some
Python programming experience. Prior research experience in
bioinformatics and/or computational biology is desirable. Details
about admission and degree requirements can be found at
http://www.memphis.edu/biology/graduate (PhD, Biological Sciences).
Applicants must apply to both The University of Memphis Graduate
School and the corresponding graduate program. To ensure full
consideration, applications should be completed by September
15. Accepted students will be considered for a graduate assistantship.

If interested, please first email Dr. Daigle ([log in to unmask])
your CV and a concise statement describing your interest in the
position, previous research experience, and relevant coursework.

-------------------------------------------------------

From: Axel Kroener [log in to unmask]
Date: August 20, 2020
Subject: PhD Position, Equilibria for Energy Markets with Transport

Job Description: PhD position in the research project 'Equilibria for
Energy Markets with Transport' (Cluster of Excellence MATH+); the
research will concentrate on modeling, analytic, optimization and
numerical aspects of generalized Nash equilibrium problems with
partial differential equation constraints.

Requirements: A completed university degree in mathematics or a
related discipline (preferably with very good results); Knowledge of
partial differential equations, continuous optimization and applied
functional analysis; Experience in the field of numerical and
computer-aided implementation; a high proficiency in spoken and
written English.

Please send your application (including motivation letter, CV, and two
reference letters) and quoting the reference number DR/146/20 to
Humboldt-Universitat zu Berlin, Faculty of Mathematics and Natural
Sciences, Department of Mathematics, Prof. Dr. Michael Hintermuller
(located: Rudower Chaussee 25), Unter den Linden 6, 10099 Berlin, or
preferably in electronic form to [log in to unmask] (cc to
[log in to unmask]).

Deadline 9.9.2020

https://www.personalabteilung.hu-berlin.de/de/stellenausschreibungen/

-------------------------------------------------------

From: Siberian Journal of Numerical Mathematics [log in to unmask]
Date: August 17, 2020
Subject: CONTENTS, Siberian Journal of Numerical Mathematics, 23 (3)

CONTENTS, Siberian Journal of Numerical Mathematics
Volume 23, No.3, 2020

For information to contributors and about subscriptions
see http://www.sscc.ru/SibJNM/

Alekseev A.K., Bondarev A.E.,On a posteriori estimation of
approximation error norm for ensemble of independent solutions (in
Russian)

Belyaev V.A., Solving the Poisson equation with singularities by the
least squares collocation method (in Russian)

Beshtokov M.K.,
Difference methods for solving nonlocal boundary value problems for
fractional-order pseudo-parabolic equations with the Bessel operator
(in Russian)

Boikov I.V., Ryazantsev V.A., On the question of the simultaneous
restoration of the density and the surface equation in the inverse
problem of gravimetry for a contact surface (in Russian)

Bondarev E.A., Voevodin A.F., Argunova K.K., Rozhin I.I., Equations of
state in mathematical models of natural gas production and
transportation (in Russian)

Kireev I.V., Orthogonal projectors and systems of linear algebraic
equations (in Russian)

Stognii P.V., Khokhlov N.I., Petrov I.B., The numerical modelling of
the elastic waves spread in the geological media with gas cavities
with the help of the grid-characteristic method (in Russian)

Yakunin M.A., A parametric analysis of stochastic oscillators by a
statistical modeling method (in Russian)

-------------------------------------------------------
End of Digest
**************************

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