Today's Editor:
David S. Bindel
Cornell University
bindel@cornell.edu
Today's Topics:
Second interim report on 8-bit binary floating point formats for machine learning
New Book, Optimal Transport: A Comprehensive Introduction to Modeling, Analysis, Simulation, Applications
International Conference on Multigrid and Multiscale Methods in Computational Science, Feb 2025
CFP: Scientific Computing and Machine Learning Conference, Mar 2025
Thematic Program in Mathematical Foundations of Data Science, May-Jun 2025
Sparse Days at CERFACS, Jun 2025
Postdoc Position, Computational Mathematics, TUHH, Hamburg, Germany
Postdoc Position, Numerical Analysis, University of Manchester, UK
Postdoc position. Computational mathematics, Chalmers and University of Gothenburg, Sweden
20 Computational Science PhD positions, UC Irvine-SDSU, USA
PhD Position, Reconstruction Methods in Micromagnetic Tomography, TU Bergakademie Freiberg, Germany
Contents, AIMS Inverse Problems and Imaging, 19(1)
Contents, Mathematical Modelling and Analysis, 29(4)
See this issue of NA Digest on the web at:
https://na-digest.coecis.cornell.edu/na-digest-html/24/v24n24.html
Submissions, FAQs, and archives:
https://na-digest.coecis.cornell.edu/
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From: Michael L. Overton mo1@nyu.edu
Date: November 26, 2024
Subject: Second interim report on 8-bit binary floating point formats for machine learning
The IEEE-SA P3109 Arithmetic Formats for Machine Learning working
group is providing a second version of its Interim Report on 8-bit
Binary Floating Point Formats. As a member of this committee who
subscribes to NA-Digest, I've been asked to pass on this information.
For more information on the working group, please see
https://sagroups.ieee.org/p3109wgpublic/
For the draft interim report, please see
https://github.com/P3109/Public/tree/main/Shared%20Reports
To submit comments on the draft, please go to
https://github.com/P3109/Public/issues
-------------------------------------------------------
From: Mitchell Graham mgraham@siam.org
Date: November 22, 2024
Subject: New Book, Optimal Transport: A Comprehensive Introduction to Modeling, Analysis, Simulation, Applications
Optimal Transport: A Comprehensive Introduction to Modeling, Analysis,
Simulation, Applications by Gero Friesecke
“Optimal transport is a beautiful theory with plenty of applications
both inside and outside mathematics; even though it has its roots in
the work of Monge at the end of the 18th century, it is still the
object of an intensive stream of pure, applied, and computational
research. Gero Friesecke brilliantly succeeds in giving a rich,
modern, and mathematically rigorous overview of the field while
sharing his deep intuitions with the reader.”
—Guillaume Carlier, Université Paris Dauphine
“I wish that this book had existed when I first learned (and taught)
optimal transport!”
—David Bourne, Heriot-Watt University
Historically, optimal transport was about moving a pile of mortar
efficiently or transferring the output of an array of steel mines
optimally. This type of problem has been found to arise in many
different fields of mathematics, science, and engineering—from fluid
dynamics to many-electron physics to artificial intelligence—and in
the last three decades interest in the subject has exploded.
This accessible book begins with an elementary and self-contained
chapter on optimal transport on finite state spaces that does not
require measure theory or functional analysis. It builds up
mathematical theory rigorously and from scratch, aided by intuitive
arguments, informal discussion, and carefully selected
applications. It is the first book to cover modern topics such as
Wasserstein GANs and multimarginal problems and includes a discussion
of numerical methods and basic MATLAB code for simulating optimal
transport problems directly via linear programming or more efficiently
via the Sinkhorn algorithm. Additionally, it provides classroom-tested
exercises in every chapter.
2024 / xii + 333 pages / Softcover / 978-1-61197-808-7 /
List 79.00 / SIAM Member 55.30 / OT199
Bookstore link:
https://epubs.siam.org/doi/book/10.1137/1.9781611978094
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From: Gabriel Wittum gabriel.wittum@kaust.edu.sa
Date: November 26, 2024
Subject: International Conference on Multigrid and Multiscale Methods in Computational Science, Feb 2025
International Conference on Multigrid and Multiscale Methods in
Computational Science
IMG 2025
February 3 - 5, 2025 KAUST, Thuwal, Saudi Arabia
Martin Gander (Geneva), Alfio Grillo (Torino), Rolf Krause (Chair)
(KAUST), Zeyao Mo (Beijing), Arne Nägel (Frankfurt), Gillian Queisser
(Philadelphia), Arnold Reusken (Aachen), Jacob Schroder (Albuquerque),
Volker Schulz (Trier), Gabriel Wittum (KAUST), Jinchao Xu (KAUST),
Ulrike Meier Yang (Livermore).
Local Organizing Committee:
Daniele Boffi, KAUST, David Keyes, KAUST, Rolf Krause, KAUST,
(Co-Chair), Matteo Parsani, KAUST, George Turkiyah, KAUST, Gabriel
Wittum, KAUST (Chair) Jinchao Xu, KAUST, (Co-Chair).
Conference Topics:
Multigrid Methods, Algebraic Multigrid, Multilevel and Multigraph
Methods, Multiscale Methods, Domain Decomposition Methods, Parallel
and High-Performance Computing, Software and Tools, Computational
Fluid Dynamics, Flow and transport in porous media, Computational
Finance and other applications.
The conference provides a forum for reseachers to present and discuss
recent progress in multigrid, multilevel and multiscale methods as
well as their application. Previously called European Multigrid
Conference (EMG), the conference was opened for world-wide
participation in 2016 and renamed to International Multigrid and
Multiscale Methods in Computational Science (IMG). EMG/IMG conferences
were held in Cologne (1981, 1985), Bonn(1990), Amsterdam (1993),
Stuttgart (1996), Gent (1999), Hohenwart (2002), Scheveningen (2005),
Bad Herrenalb (2008), Ischia (2010), Schwetzingen (2012), Leuven
(2014), Bruchsal (2016), Kunming (2019) and Lugano (2022). The first
EMG conference in Cologne, 1981, was the first conference on
multi-grid methods ever.
Invited Speakers: Alfio Borzi, (Würzburg), Raimund Bürger
(Concepcion), Shihua Gong (Shenzhen), Alexander Heinlein (Delft),
Svetozar Margenov (Sofia), Kees Oosterlee (Utrecht), Gillian Queisser
(Philadelphia), Christoph Reisinger (Oxford), Kees Vuik (Delft)
Deadlines:
Minsymposium proposals: Nov 30, 2024
Abstracts: Nov 30, 2024
Dec 15, 2024: Notification of acceptance
Proceedings: Will be published as special issues of the International
Journal Computing and Visualization in Science and Engineering
Conference Location: King Abdullah University of Science and
Technology (KAUST), Thuwal, Saudi Arabia
Excursions: Thursday, Feb. 6, to Friday, Feb. 7, 2025
• Desert excursion with overnight stay in tents
• Alternatively excursion to Jeddah
The conference will start on Monday Feb 3, 2025 at 9 a.m. and will end
on Wednesday, Feb 5, 2025 at 6 p. m.
Visa: Citizens of many countries are eligible for coming to Saudi
Arabia on tourist visa, see https://www.visitsaudi.com. If your
country is not in this list, please contact the conference office
wrt. to visa.
Travel: The regular way to travel to KAUST is via King Abdulaziz
International Airport, Jeddah. From there you can go to KAUST by taxi
or the train to KAEC.
Accommodation: KAUST Al Khozama Hotel or Bay LaSun Hotel in King
Abdullah Economic City (KAEC)
Conference office: Jumana Alashi, jumana.alishi.1@kaust.edu.sa
Registration
Registration is mandatory. The conference fee includes lunches,
coffee/tea, conference dinner, and the collection of abstracts. For
registration please use this link: https://www.kaust.edu.sa/img25
Conference Fee IMG 2025
before Dec 31st, 2024: USD 150.- Participants USD 100.- Students
after January 1st, 2025: USD 300.- Participants USD 200.- Students
-------------------------------------------------------
From: Takaharu Yaguchi yaguchi@pearl.kobe-u.ac.jp
Date: November 28, 2024
Subject: CFP: Scientific Computing and Machine Learning Conference, Mar 2025
We are delighted to announce the call for papers for the International
Conference on Scientific Computing and Machine Learning 2025
(SCML2025, http://scml.jp ), which will be held in Kyoto (and online)
from March 3 to 7, 2025.
In recent years, machine learning methods for scientific computing,
such as physics-informed neural networks and operator learning, have
attracted much attention. Many methods are based on machine learning
and/or theories of physics and/or computational mathematics. This
conference aims to showcase the latest research in these areas, which
have been fragmented while pursuing research in the same direction, to
bridge the gap between them, and to promote collaboration.
Several keynote/invited/tutorial talks will be scheduled. In
particular, this year, we will invite as invited speakers a few
students or young researchers who have published at least one paper
related to scientific machine learning (SciML) in top journals or
famous conferences. Those who wish to apply for this opportunity
should send the paper accepted for the above conference to
scml25-committee (at) geom.jp by December 13, 2024 (AOE).
Please contact the organizers at scml25-committee (at) geom.jp or
yaguchi at pearl.kobe-u.ac.jp with any questions.
Thank you very much indeed for your consideration.
SCML2025 Organizing Committee
-------------------------------------------------------
From: Simone Brugiapaglia simone.brugiapaglia@concordia.ca
Date: November 25, 2024
Subject: Thematic Program in Mathematical Foundations of Data Science, May-Jun 2025
Dear colleagues,
We are excited to announce a thematic program entitled Mathematical
Foundations of Data Science that will take place at the Centre de
Recherches Mathématiques (CRM), Montreal, Canada, in May-June
2025. The program consists of various activities including workshops,
a spring school, and distinguished (Aisenstadt) lectures.
The thematic program focuses (but is not restricted to) the following
research areas: optimization, high-dimensional probability,
approximation theory, scientific machine learning, inverse problems,
and their applications in data science.
Registration is open for many of the activities already, and links to
registration and travel support are available on this website:
https://www.crmath.ca/en/activities/#/type/activity/id/3950
Looking forward to seeing you in Montréal!
The program co-chairs
Simone Brugiapaglia (Concordia University)
Tim Hoheisel (McGill University)
also on behalf of the organizing committee:
Ben Adcock (Simon Fraser University), Quentin Cappart (Polytechnique
Montréal), Margarida Carvalho (Université de Montréal), Michael
Friedlander (University of British Columbia), Diane Guignard
(Université d’Ottawa), Mark Iwen (Michigan State University), Adam
M. Oberman (McGill University), Courtney Paquette (McGill University),
Elliot Paquette (McGill University), Carola-Bibiane Schönlieb
(University of Cambridge)
-------------------------------------------------------
From: Iain Duff duff@cerfacs.fr
Date: November 28, 2024
Subject: Sparse Days at CERFACS, Jun 2025
The Annual Sparse Days meeting will be held at CERFACS in Toulouse on
2 and 3 June 2025.
This will very much follow the pattern of earlier Sparse Days meetings,
with all talks in 30 minute slots, although shorter contributions
will be welcome.
The core topics of numerical linear and multilinear algebra,
numerical optimisation, and data assimilation will be supplemented by
talks involving High Performance Computing, scientific machine learning,
and quantum computing.
More information will be available on our website soon but, meanwhile,
SAVE THE DATES!
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From: Sebastian Goetschel sebastian.goetschel@tuhh.de
Date: November 28, 2024
Subject: Postdoc Position, Computational Mathematics, TUHH, Hamburg, Germany
The Chair for Computational Mathematics at TU Hamburg has an open
position for a post-doctoral researcher. The position is part of an
international, interdisciplinary project aiming at estimating tumor
perfusion from ultrasound measurements. The successful applicant will
develop computational methods for the identification of blood flow
parameters in a PDE model, including strategies for parallelizing in
the spatial and temporal domain.
More information and online application:
https://stellenportal.tuhh.de/jobposting/0c381a16541d3f6df0a90d94317fcea205475023
The deadline for applications is Wednesday, December 11, 2024.
-------------------------------------------------------
From: Stefan Güttel stefan.guettel@manchester.ac.uk
Date: November 25, 2024
Subject: Postdoc Position, Numerical Analysis, University of Manchester, UK
We invite applications for a two-year postdoctoral position based in
the Department of Mathematics of the University of Manchester. This
postdoctoral position will be devoted to research on Randomized
Numerical Linear Algebra for Optimization and Control of Partial
Differential Equations (PDEs). It is one of two positions funded by
EPSRC, and will be supervised by Prof. Stefan Güttel (University of
Manchester) and Prof. John Pearson (University of Edinburgh). This
post will involve the use of randomization to devise solvers for
large-scale eigenvalue problems, reduced-order models, and PDEs,
applied to problems from optimization and control. As such, the
candidate should have a background in numerical linear algebra and,
more generally, numerical analysis.
Application deadline is 6th of January 2025 and interviews are
expected to take place in late January 2025. Informal enquiries can be
made to stefan.guettel@manchester.ac.uk
Link to job portal:
https://www.jobs.manchester.ac.uk/Job/JobDetail?jobid=30947
-------------------------------------------------------
From: Annika Lang annika.lang@chalmers.se
Date: November 27, 2024
Subject: Postdoc position. Computational mathematics, Chalmers and University of Gothenburg, Sweden
At the Department of Mathematical Sciences at Chalmers and the
University of Gothenburg, I have an open postdoc position within my
research group financed by the European and Swedish Research Councils:
===
Postdoc position in computational mathematics
- Project: Time-evolving stochastic manifolds. The project includes
components of stochastic analysis, geometry, partial differential
equations (PDE), and computational mathematics.
- Link to announcement and application system:
https://www.chalmers.se/en/about-chalmers/work-with-us/vacancies/?rmpage=job&rmjob=13407
- Application deadline: December 30, 2024
===
If you have questions, please do not hesitate to contact me, Annika
Lang, at annika.lang@chalmers.se
-------------------------------------------------------
From: Jose E Castillo jcastillo@sdsu.edu
Date: November 25, 2024
Subject: 20 Computational Science PhD positions, UC Irvine-SDSU, USA
UC Irvine – San Diego State University Joint Doctoral Program in
Computational Sciences Seeks Doctoral Students for Fall 2025
The Interdisciplinary Ph.D. Program in Computational Science is aimed
at training scientists and engineers who will create advanced
computational methods and tools to model and solve challenging
problems at the intersections of scientific disciplines. The doctoral
program offers coursework and research in a broad range of subjects
that develop expertise in Mathematical Modeling and Scientific
Computing with applications to Biological Science, Earth Science,
Engineering Science, Health, Physical and/or Chemical Science. UCI and
SDSU campuses are recognized as Hispanic Serving Institutions offering
a welcoming and supportive environment for diverse students. Admitted
graduate students are offered a range of financial assistance options
while they are pursuing advanced degrees, including Teaching,
Graduate, and Research Assistantships and Fellowships. Applicants with
strong backgrounds in mathematics, physical, biological, and
geological sciences, computer science, and engineering are invited to
apply. Please check our website for details regarding the doctoral
program and the application process.
https://www.csrc.sdsu.edu/ph-d-program/
A virtual information session for the program will be held on December
6th, 2024 from 11:00 – 2:00 pm on Gather (https://gather.town/). To
attend, please register using the link below. Link to the virtual
space will be sent only to registered participants 2 days before the
event. This will be a great opportunity to meet and interact with
current students in the program, potential faculty advisors and
program coordinators.
https://forms.gle/vke73bk1ajFKk5vw9
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From: Christian Gerhards christian.gerhards@geophysik.tu-freiberg.de
Date: November 23, 2024
Subject: PhD Position, Reconstruction Methods in Micromagnetic Tomography, TU Bergakademie Freiberg, Germany
Within the project “Reconstruction Methods in Micromagnetic
Tomography”, we currently have an open PhD position at the
Geomathematics and Geoinformatics group
(https://tu-freiberg.de/en/geophysics) at TU Bergakademie Freiberg.
We are seeking mathematicians with an interest in geoscientific
problems and interdisciplinary research. The project aims at an
inverse problem in paleomagnetism: obtaining information about the
magnetization of rock samples at grain-size levels from scanning
magnetic microscopy data and microCT data. The tasks include both the
mathematical analysis of the problem as well as the development and
application of novel numerical methods. There exists the opportunity
for collaboration with the paleomagnetic laboratory at Utrecht
University.
Questions and initial application material can be addressed to
Prof. Christian Gerhards
(Christian.gerhards@geophysik.tu-freiberg.de). The official posting
and application instructions can be found at
https://tu-freiberg.de/en/job- offers/scientific-employees, job
reference number 202/2024. Feel free to forward this information to
interested candidates.
-------------------------------------------------------
From: Charley Denton cdenton@aimsciences.org
Date: November 22, 2024
Subject: Contents, AIMS Inverse Problems and Imaging, 19(1)
Inverse Problems and Imaging
February 2025, Vol. 19, No. 1
https://www.aimsciences.org/ipi/article/2025/19/1
A Interior transmission problems with coefficients of low regularity
Georgi Vodev
Superiorized iteration algorithm for CT image simultaneous
reconstruction and segmentation
Shousheng Luo, Zhiting Liu, Yaofei Lu and Xue-Cheng Tai
Fully-connected tensor network decomposition and group sparsity for
multitemporal images cloud removal
Zhihui Tu, Jian Lu, Hong Zhu, Wenyu Hu, Qingtang Jiang and
Michael K. Ng
Denoising of sphere- and SO(3)-valued data by relaxed tikhonov
regularization
Robert Beinert, Jonas Bresch and Gabriele Steidl
Direct imaging of inhomogeneities in a 3D shallow ocean waveguide with
an elastic seabed
Keji Liu
Stability estimates for the inverse source problem with passive
measurements
Faouzi Triki, Kristoffer Linder-Steinlein and Mirza Karamehmedović
Read more articles here:
https://www.aimsciences.org/ipi/article/2025/19/1
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From: Raimonds Ciegis rc@vgtu.lt
Date: November 29, 2024
Subject: Contents, Mathematical Modelling and Analysis, 29(4)
MATHEMATICAL MODELLING AND ANALYSIS
The Baltic Journal on Mathematical Applications, Numerical Analysis
and Differential Equations
ISSN 1392-6292, ISSN 1648-3510 online, Electronical edition:
http://mma.vgtu.lt
Raimondas {\v{C}}iegis (Editor) Volume 29, Issue 4, 2024 (p.600-800)
CONTENTS
Dai Watanabe and Shuji Yoshikawa
Modelling for a New Mechanical Passive Damper and its Mathematical
Analysis
600-620
Mohammad Sharifi, Ali Abdi, Michal Bra\'{s} and Gholamreza Hojjati
A Class of Explicit Second Derivative General Linear Methods for
Non-Stiff ODEs
621-640
Grigory Panasenko, Laetitia Paoli and Ruxandra Stavre
Micropolar Fluid-Thin Elastic Structure Interaction: Variational
Analysis
641-668
Taher Amoozad, Saeid Abbasbandy, Tofigh Allahviranloo and Mohsen
Rostamy Malkhalifeh
A New Approach for Solving a Nonlinear System of Second-Order BVPs
669-683
Chol-Jun O and Fan Wu
The BKM Criterion to the 3D Double-Diffusive Magneto Convection
Systems Involving Planar Components
684-693
Delfina G\'omez and Mar\'{\i}a-Eugenia P\'erez-Mart\'{\i}nez
Averaged Reaction for Nonlinear Boundary Conditions on a Grill-Type
Winkler Foundation
694-713
Eleni Theodosiou, Carina Bringedal and Jochen Sch\"utz
A Two-Derivative Time Integrator for the Cahn-Hilliard Equation
714-730
Emile Franc Doungmo Goufo
Mirroring and Nonlinear Perturbation of a Circuit's System with
Multiple Attractors
731-752
Shih-Hsiang Chang
Regions of Existence and Uniqueness for Singular Two-Point Boundary
Value Problems
753-766
Volodymyr Ya. Halchenko, Ruslana Trembovetska, Volodymyr Tychkov and
Nataliia Tychkova
The Inverse Problem of Determining Profiles of Electrophysical
Parameters in Eddy-Current Structuroscopy Using Apriori Information on
Multifrequency Probing
767-780
Mohammad Izadi and Pradip Roul
An Effective Numerical Algorithm for Coupled Systems of Emden--Fowler
Equations via Shifted Airfoil Functions of the First Kind
781-800
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End of Digest
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