Today's Editor:
David S. Bindel
Cornell University
bindel@cornell.edu
Today's Topics:
New book, Differential-algebraic Equations. Analysis and Numerical Solution (2e)
Virtual Fair for Prospective Students: Computational Science: PhD Program, Dec 2024
IMG 2025 at KAUST, Feb 2025
Call for submissions, GAMM 2025 - S22 Scientific Computing, April 2025
Numerical Analysis and Applications to Data Science, Athens, Greece, April 2025
Simons Institute Research Fellowships, Fall 2025
Assistant Professor Position in Continuous Mathematics, Oakland University, Michigan, USA
Assistant Professor Position in Mathematics, Trinity College Dublin, Ireland
Postdoc Position, Inverse Modelling of Compressible Fluid Flow, Bayreuth, Germany
Postdoc Position, John von Neumann Fellowship, Sandia National Laboratories, USA
Postdoc position at LBNL, USA
Postdoc position in Computational Mathematics at Univ of Texas - Austin, USA
Postdoc position in computational mathematics at LSU, USA
PhD Position in Robust, Bilevel, and Discrete Optimization at the University of Technology Nuremberg (UTN), Germany
Contents, Editor's Choice, Journal Mathematical and Computational Applications
Contents, Journal of Computational Mathematics, Volume 42 (2024), issue 6
See this issue of NA Digest on the web at:
https://na-digest.coecis.cornell.edu/na-digest-html/24/v24n22.html
Submissions, FAQs, and archives:
https://na-digest.coecis.cornell.edu/
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From: Volker Mehrmann mehrmann@math.tu-berlin.de
Date: November 09, 2024
Subject: New book, Differential-algebraic Equations. Analysis and Numerical Solution (2e)
We are happy to announce the publication of the second edition of the book:
P. Kunkel and V. Mehrmann, Differential-Algebraic Equations. Analysis
and Numerical Solution, EMSPress 2024, DOI:10.4171/ETB/28,
ISBN print: 978-3-98547-016-7, ISBN digital 978-3-98547-516-2.
In contrast to the first edition that featured the analysis of linear
differential-algebraic equations (DAEs) with constant and variable
coefficients as well as nonlinear DAEs, Sections on optimal control,
stability analysis, as well as systems with symmetries have been
added.
The numerical part, which in the first edition discussed methods for
strangeness-free DAEs and index reduction for initial and boundary
value problems as well as numerical software, has been enriched
e.g. by sections on boundary value problems in optimal control and a
chapter on selected topics including overdetermined systems, root
finding, numerical path-following, and hybrid and dissipative
Hamiltonian systems.
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From: Jose E Castillo jcastillo@sdsu.edu
Date: November 14, 2024
Subject: Virtual Fair for Prospective Students: Computational Science: PhD Program, Dec 2024
The CSRC will be hosting a virtual fair for prospective students on Gather. This
event will be held on Friday, December 6th from 11:00 am - 2:00 pm PST. All
prospective students are encouraged to register. This event is a great
opportunity to meet with potential faculty advisors, current students, alumni,
and program coordinators. All who are interested are welcome to join this
event, especially current students in the program! This opportunity will allow
the space to share your personal insights and experiences in this program.
Please share this information with others who may be interested in what our
program has to offer. https://www.csrc.sdsu.edu/ph-d-program/
Register here: forms.gle/igqbSg2LrGSYrk8Q8
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From: Gabriel Wittum gabriel.wittum@kaust.edu.sa
Date: November 10, 2024
Subject: IMG 2025 at KAUST, Feb 2025
International Conference on Multigrid and Multiscale Methods in
Computational Science
IMG 2025
February 3 - 5, 2025
KAUST, Thuwal, Saudi Arabia
Scientific Committee:
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), 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, Applications.
The conference provides a forum for reseachers to present and discuss
recent progress in multi-grid, multi-level and multi-scale 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 Multi-grid and
Multi-scale 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: Deadline (≤1 page, pdf-file)
Dec 15, 2024: Notification of acceptance
Proceedings: Will be published as special issues of the International
Journal Computing and Visualization in Science and Engineering
(online, open access)
Conference Location: King Abdullah University of Science and
Technology (KAUST), Thuwal, Saudi Arabia
Excursions: Thursday, Feb. 6, Friday, Feb. 7, 2025
• Desert excursion with overnight stay in tents
• 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.
Registration
Registration is mandatory. The conference fee includes lunches,
coffee/tea, conference dinner, and the book of abstracts.
Conference Fee IMG 2025
before Dec 31st, 2024: USD 150.- Participants, USD 100.- Students
from January 1st, 2025: USD 300.- Participants, USD 200.- Students
Accommodation: KAUST Al Khozama Hotel or Bay LaSun Hotel in KAEC
-------------------------------------------------------
From: Silke Glas s.m.glas@utwente.nl
Date: November 13, 2024
Subject: Call for submissions, GAMM 2025 - S22 Scientific Computing, April 2025
Dear colleagues,
The upcoming 95th Annual Meeting of the International Association of Applied
Mathematics and Mechanics (GAMM) will be hosted at the Poznań University of
Technology April 7 - 11, 2025 in Poznań, Poland, please see:
https://jahrestagung.gamm.org/annual-meeting-2025/95th-annual-meeting-2/
As organizers of the section
Section S22 Scientific Computing
we want to invite you and the members of your working groups to submit an
abstract for a presentation (20 minutes, including discussion) in this section.
Abstract submission is already open.
Here are some more important dates:
- abstract submission deadline: December 15, 2024
- notification of abstract acceptance: January 12, 2025
- end of early online registration: January 21, 2025
- end of online registration: March 21, 2024
We look forward to your submissions and seeing you at the GAMM annual
meeting 2025 in Poznań!
Best regards,
Silke Glas (University of Twente, s.m.glas@utwente.nl)
Melina Merkel (Technical University of Darmstadt, melina.merkel@tu-
darmstadt.de)
Benjamin Unger (University of Stuttgart, benjamin.unger@simtech.uni-
stuttgart.de)
-------------------------------------------------------
From: Mustapha Hached mustapha.hached@univ-lille.fr
Date: November 14, 2024
Subject: Numerical Analysis and Applications to Data Science, Athens, Greece, April 2025
N2ADS is an annual meeting held in the National and Kapodistrian
University of Athens. Its goal is to highlight the most innovative
research in applied mathematics, with a special focus on applications
to data science. It will give to researchers the opportunity to share
their recent results with colleagues from both academia and industry
as well as with students. Presentations will focus on the following
topics :
Numerical Linear and Multilinear Algebra
Approximation, Numerical methods for PDE's
Machine Learning, Optimization, Image Processing
Model Reduction, Control Problems
Inverse and Ill-posed Problems
Graphs, cybersecurity, AI
Computational Statistics
For more info, visit the event website : https://www.n2ads2025.org/
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From: Daniel Kressner daniel.kressner@epfl.ch
Date: November 13, 2024
Subject: Simons Institute Research Fellowships, Fall 2025
In the context of the Simons Fall 2025 program on "Complexity and Linear
Algebra" there are 8 Simons Institute Research Fellowships available; see
https://simons.berkeley.edu/research-fellowship-call-applications
https://simons.berkeley.edu/programs/complexity-linear-algebra
These research fellowships are intended for exceptional young scientists
(within at most five years of the award of their PhD at the start of academic
year 2025). Applications for Fall 2025 will open on November 15 and close on
December 15, 2024.
-------------------------------------------------------
From: Nghia Tran nttran@oakland.edu
Date: November 09, 2024
Subject: Assistant Professor Position in Continuous Mathematics, Oakland University, Michigan, USA
The Department of Mathematics and Statistics invites applications for
a tenure-track position at the rank of Assistant Professor of
Mathematics, to begin August 15, 2025. Applicants must have a
specialization in continuous mathematics, which includes but is not
limited to, partial differential equations, ordinary differential
equations, variational methods, continuous optimization, or dynamical
systems. All candidates with research interests close to the
department’s faculty will be considered, with preference for those
whose research includes mathematical modeling, continuous
optimization, and machine learning. Candidates for this position must
have a Ph.D. in Mathematics or Applied Mathematics (or its
requirements completed) in the targeted area by August 15, 2025.
Responsibilities of the position include instruction, scholarship,
contribution to the Department’s Ph.D. program in Applied Mathematical
Sciences and other services at the departmental, university, and
professional levels. A typical faculty teaching load is two courses
per semester. Further information about the Department and the current
research interests of its faculty can be found at
http://www.oakland.edu/math.
To apply and for more information, please visit
https://jobs.oakland.edu/postings/32842.
Applications should include: a cover letter, a vita with a publication
list, graduate transcripts (unofficial transcripts are acceptable for
application), a diversity statement, a research statement, and a
teaching statement. Three reference letters, with at least one of them
addressing the teaching effectiveness and potential of the candidate,
are required. Applications should be completed by December 31, 2024
for full consideration.
Please direct any questions to: Professor Nghia Tran (nttran@oakland.edu)
-------------------------------------------------------
From: Kirk M. Soodhalter ksoodha@maths.tcd.ie
Date: November 09, 2024
Subject: Assistant Professor Position in Mathematics, Trinity College Dublin, Ireland
Dear all,
The School of Mathematics of Trinity College Dublin is seeking a candidate for
Assistant Professor in Mathematics. The appointment will be tenable from
September 2025. This is a teaching and research position; the successful
candidate will be required to contribute at all levels of teaching and supervision
undertaken by the School and will be expected to conduct a vigorous research
programme.
This position is a Tenure Track position. For more information see
https://my.corehr.com/pls/trrecruit/erq_jobspec_details_form.jobspec?
p_id=037734. Information is also available at
https://www.mathjobs.org/jobs/list/25818.
Informal Enquiries about this post should be made to Professor Tristan
McLoughlin (headmath@maths.tcd.ie), Head of School, School of Mathematics.
Please apply through the Trinity Jobs Portal http://jobs.tcd.ie or
https://my.corehr.com/pls/trrecruit/erq_jobspec_details_form.jobspec?
p_id=037734.
Sincerely,
Kirk M. Soodhalter
-------------------------------------------------------
From: Joern Sesterhenn joern.sesterhenn@uni-bayreuth.de
Date: November 14, 2024
Subject: Postdoc Position, Inverse Modelling of Compressible Fluid Flow, Bayreuth, Germany
e are seeking a highly motivated and skilled Postdoctoral Researcher
to join our working group in the field of Computational Fluid
Mechanics. The successful candidate will contribute to an exciting
three-year project focused on inverse modelling of compressible fluid
flow using high-speed Schlieren and PIV images.
The project involves developing and applying advanced numerical
methods for solving the compressible Navier-Stokes equations, both
forward and adjoint solutions, to invert experimental data from
high-speed imaging techniques. The successful candidate will be
expected to work closely with our experienced team in the field of
adjoint data assimilation to develop innovative solutions, based upon
an existing numerical framework and in house experimental data.
**Requirements:**
* Ph.D. in a related field
* Strong background in numerical methods for fluid flow simulation
* Proficiency in programming Julia, (Python, C++, or Fortran)
* Excellent communication and collaboration skills
* (ideally:) Experience with imaging techniques, Schlieren and PIV
images, AI, Physics Informed Machine Learning, GPU Programming
**What We Offer:**
* A three-year, 100% TVL 14 postdoctoral position in an international,
dynamic and experienced research group
* Opportunities for professional growth and development in a cutting-edge field
* Collaborative and stimulating working environment
Apply with Cover letter, CV etc. at office.tms@uni-bayreuth.de
-------------------------------------------------------
From: Ray Tuminaro rstumin@sandia.gov
Date: November 13, 2024
Subject: Postdoc Position, John von Neumann Fellowship, Sandia National Laboratories, USA
Sandia National Laboratories invites outstanding candidates to apply
for the 2025 John von Neumann Postdoctoral Research Fellowship in
Computational Science. This prestigious fellowship is funded from the
Applied Mathematics Research Program in the US Department of Energy
Office of Advanced Scientific Computing Research and Sandia’s Lab
Directed Research and Development Program. The fellowship provides an
exceptional opportunity for innovative research in computational
mathematics and scientific computing on advanced computing
architectures with application to a broad range of science and
engineering problems of national importance. Applicants must have or
will receive a Ph.D. in applied/computational mathematics or a
related area, such as computer science, engineering, or statistics,
conferred after January 1, 2021 and no later than August 2025. The
appointment is for one year, with the option of a second year, and
includes a highly competitive salary, moving expenses and a generous
professional travel allowance. Complete applications received by
November 22, 2024 will receive full consideration.
For more information, including application instructions, see:
https://www.sandia.gov/careers/career-possibilities/students-and-postdocs/fellowships/john-von-neumann-fellowship
-------------------------------------------------------
From: Sherry Li xsli@lbl.gov
Date: November 14, 2024
Subject: Postdoc position at LBNL, USA
The Scalable Solvers Group in the Applied Mathematics and Computational
Research Division at Lawrence Berkeley National Laboratory (LBNL) is seeking
a Postdoctoral Fellow to develop parallel sparse linear solvers and
preconditioners, integrate them into DOE science codes, and develop scalable
scientific machine learning (SciML) and uncertainty quantification (UQ)
methods for large-scale modeling and simulations.
Please go to this page to see position description and application link:
https://jobs.lbl.gov/jobs/sparse-linear-algebra-and-machine-learning-postdoc-
fellow-6806
Sherry Li
-------------------------------------------------------
From: Gunnar Martinsson pgm@oden.utexas.edu
Date: November 14, 2024
Subject: Postdoc position in Computational Mathematics at Univ of Texas - Austin, USA
The Oden Institute for Computational Engineering and Sciences at The
University of Texas at Austin invites applications for a Postdoctoral
Fellow position in Computational Mathematics under the joint
supervision of Dr. Joe Kileel and Dr. Gunnar Martinsson. Candidates
should have a background in at least one of the following areas:
tensor methods, randomized linear algebra, streaming algorithms,
nonconvex optimization, scientific computing, or applied algebraic
geometry. This research position offers an opportunity to work in a
world-class interdisciplinary environment, collaborating with leading
researchers in computational science, engineering, and mathematics.
Review of applications will begin December 1, and will continue until
the position is filled.
Expected qualifications:
- Ph.D. in the mathematical sciences, expected before the start date
or received within the past three years
- Outstanding research potential
- Good publication record
- A plus but not required: experience with scientific programming
For additional details, and for instructions on how to apply please see:
https://apply.interfolio.com/157724
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From: Susanne Brenner brenner@math.lsu.edu
Date: November 12, 2024
Subject: Postdoc position in computational mathematics at LSU, USA
The Center for Computation & Technology (CCT) at Louisiana State
University (LSU) is seeking applications to fill a postdoctoral
researcher position starting August 2025. The postdoctoral researcher
will work under the supervision of Professor Susanne C. Brenner.
Required Qualifications: Ph.D. or equivalent degree in mathematical
sciences or a closely related field.
Preferred Qualifications: Research excellence. Ideal candidates will
be published research in at least one of the following areas: adaptive
finite element methods, discontinuous Galerkin methods, multiscale
methods, virtual element methods, multigrid methods, domain
decomposition methods, elliptic optimal control problems,
computational electromagnetics or computational mechanics.
Salary will be commensurate with qualifications and experience. An
offer of employment is contingent on a satisfactory pre-employment
background check. We will begin reviewing applications on January 15,
2025, and will continue to review applications until the position is
filled.
Applications should be submitted through mathjobs:
https://www.mathjobs.org/jobs?joblist-108-25644
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From: Johannes Thürauf johannes.thuerauf@utn.de
Date: November 15, 2024
Subject: PhD Position in Robust, Bilevel, and Discrete Optimization at the University of Technology Nuremberg (UTN), Germany
PhD Position in Robust, Bilevel, and Discrete Optimization at the University of
Technology Nuremberg (UTN) (Johannes Thürauf)
The University of Technology Nuremberg (UTN) is currently offering an opening
for a doctoral research opportunity in the field of robust, bilevel, and discrete
optimization at the Discrete Optimization Lab by Johannes Thürauf.
- Potential research topics are flexible and can be in the fields of robust, bilevel,
discrete, and/or mixed-integer nonlinear optimization.
- The doctoral research opportunity is fully funded (100% position – TVL E13)
and supervised by Johannes Thürauf.
- Applications will be reviewed on a rolling basis. To receive full consideration,
please apply until 24.11.2024. Applications received after that date might still
be considered.
For more details about the position and the application process, please see the
official advertisement here:
https://www.utn.de/en/career/opportunities-for-doctoral-researchers/#disc-opt
To learn more about the ongoing research in the lab, please visit my personal
website https://www.johannesthuerauf.com/ and the Discrete Optimization Lab
website https://www.utn.de/en/departments/department-liberal-arts-and-
sciences/discrete-optimization-lab/
Please feel free to share this announcement to any student who may be
interested.
If you have any question regarding the position, please do not hesitate to
contact me at johannes.thuerauf@utn.de
-------------------------------------------------------
From: Everett Zhu everett.zhu@mdpi.com
Date: November 11, 2024
Subject: Contents, Editor's Choice, Journal Mathematical and Computational Applications
Multi-Physics Inverse Homogenization for the Design of Innovative Cellular
Materials: Application to Thermo-Elastic Problems
Matteo Gavazzoni, Nicola Ferro, Simona Perotto and Stefano Foletti
Reduced Order Modeling Using Advection-Aware Autoencoders
Sourav Dutta, Peter Rivera-Casillas, Brent Styles and Matthew W. Farthing
Can DtN and GenEO Coarse Spaces Be Sufficiently Robust for Heterogeneous
Helmholtz Problems?
Niall Bootland and Victorita Dolean
A Trust Region Reduced Basis Pascoletti-Serafini Algorithm for Multi-Objective
PDE-Constrained Parameter Optimization
Stefan Banholzer, Luca Mechelli and Stefan Volkwein
On the Use of High-Order Shape Functions in the SAFE Method and Their
Performance in Wave Propagation Problems
Elyas Mirzaee Kakhki, Jalil Rezaeepazhand, Fabian Duvigneau, Lotfollah
Pahlavan, Resam Makvandi, Daniel Juhre, Majid Moavenian and Sascha
Eisenträger
Comparison of Two Aspects of a PDE Model for Biological Network Formation
Clarissa Astuto, Daniele Boffi, Jan Haskovec, Peter Markowich and Giovanni
Russo
An Adaptive in Space, Stabilized Finite Element Method via Residual
Minimization for Linear and Nonlinear Unsteady Advection–Diffusion–Reaction
Equations
Juan F. Giraldo and Victor M. Calo
A Parallel Solver for FSI Problems with Fictitious Domain Approach
Beichao Hu and Dwayne McDaniel
Read more articles at:
https://www.mdpi.com/journal/mca/editors_choice
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From: Yonghui Yu yyu@lsec.cc.ac.cn
Date: November 11, 2024
Subject: Contents, Journal of Computational Mathematics, Volume 42 (2024), issue 6
Journal of Computational Mathematics, Volume 42 (2024), issue 6
https://www.global-sci.org/intro/articles_list.html?
journal=jcm&volume_id=2585
CONTENTS
Low-rank Matrix Completion with Poisson Observations via Nuclear
Norm and Total Variation Constraints
Duo Qiu, Michael K. Ng and Xiongjun Zhang
An Inexact Proximal DC Algorithm for the Large-scale Cardinality
Constrained Mean-variance Model in Sparse Portfolio Selection
Mingcai Ding, Xiaoliang Song and Bo Yu
Numerical Analysis for Stochastic Time-space Fractional Difusion
Equation Driven by Fractional Gaussian Noise
Daxin Nie and Weihua Deng
Wong-Zakai Approximations for Stochastic Volterra Equations
Jie Xu and Mingbo Zhang
Bezier Splines Interpolation on Stiefel and Grassmann Manifolds
Ines Adouani and Chafik Samir
Error Analysis for Parabolic Optimal Control Problems with Measure
Data in a Nonconvex Polygonal Domain
Pratibha Shakya
Accelerated Symmetric ADMM and Its Applications in Large-scale Signal
Processing
Jianchao Bai, Ke Guo, Junli Liang, Yang Jing and H.C. So
Analysis of Two Any Order Spectral Volume Methods for 1-D Linear
Hyperbolic Equations with Degenerate Variable Coe cients
Minqiang Xu, Yanting Yuan, Waixiang Cao and Qingsong Zou
Adaptive Regularized Quasi-Newton Method Using Inexact First-order
Information
Hongzheng Ruan and Weihong Yang
Convergence and Stability of the Split-step Theta Method for Class of
Stochastic Volterra Integro-di erential Equations Driven By Levy Noise
Wei Zhang
Tensor Neural Network and Its Numerical
Yifan Wang, Hehu Xie and Pengzhan Jin
Error Analysis of the Second-order Serendipity Virtual Element Method
for Semilinear Pseudo-parabolic Equations on Curved Domains
Yang Xu, Zhenguo Zhou and Jingjun Zhao
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End of Digest
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