Today's Editor:
David S. Bindel
Cornell University
bindel@cornell.edu
Today's Topics:
Software Release, Ginkgo v1.9.0
New book, in honor of Wolfgang Dahmen's 75th birthday
Call for abstracts, ADMOS 2025, Spain, June 2025
15th International Conference on Monte Carlo Methods and Applications (MCM), Chicago, Jul 2025
7th European Conf. on Computational Optimization, Klagenfurt, Sep 2025
SMART2025, Reggio Calabria, Italy, Sep 2025
Faculty Positions at the University of Birmingham, UK
Professor position, Paderborn University, Germany
Postdoc position, Computational Epidemiology, Uppsala University, Sweden
Postdoc position, Numerical Analysis, Rensselaer Polytechnic Institute, USA
Postdoc positions, the University of Maryland, Baltimore County (UMBC), USA
PhD and postdoc positions, HPC and NLA, Sorbonne Université, Paris, France
Postdoc and PhD positions funded by ERC project COCOA, RWTH Aachen, Germany
14 PhD positions, Applied Mathematics (port Hamiltonian Systems), Wuppertal, Germany
PhD Position, Predictive Models for Wastewater Treatment Systems, Ireland
Temporary Research Position, University of Pisa, Italy
Contents, AIMS Communications on Analysis and Computation, 2(4)
Contents, AIMS Foundations of Data Science, 7(1)
Contents, AIMS Inverse Problems and Imaging, 9(2)
Contents, Iranian J Numerical Analysis and Optimization, 14 (4)
Contents, Mathematical Modelling and Analysis Vol 29 Issue 4
Call for Papers: COAP Special Issue on Machine Learning and Optimization
See this issue of NA Digest on the web at:
https://na-digest.coecis.cornell.edu/na-digest-html/24/v24n26.html
Submissions, FAQs, and archives:
https://na-digest.coecis.cornell.edu/
-------------------------------------------------------
From: Marcel Koch marcel.koch@kit.edu
Date: December 09, 2024
Subject: Software Release, Ginkgo v1.9.0
The Ginkgo team is proud to announce the new Ginkgo minor release
1.9.0.
Ginkgo is a high-performance numerical linear algebra library for
many-core systems, with a focus on solution of sparse linear
systems. It is implemented using modern C++, with GPU kernels
implemented for NVIDIA, AMD and Intel GPUs.
The highlights of the new release include:
- Support for half precision (IEEE FP16).
- New implementations of the ILU and IC factorization.
- New (S)SOR and Gauss-Seidel preconditioners.
- Simplified distributed matrix assembly.
The release contains many more additions, improvements, and bug
fixes. A full list of the release changes can be found here:
https://github.com/ginkgo-project/ginkgo/releases/tag/v1.9.0
-------------------------------------------------------
From: Remi Lodh remi.lodh@springer.com
Date: December 09, 2024
Subject: New book, in honor of Wolfgang Dahmen's 75th birthday
Multiscale, Nonlinear and Adaptive Approximation II,
edited by Ronald A. DeVore and Angela Kunoth
This book presents a collection of high-quality papers in applied and
numerical mathematics, as well as approximation theory, all closely
related to Wolfgang Dahmen’s scientific contributions. Compiled in
honor of his 75th birthday, the papers are written by leading experts
and cover topics including nonlinear approximation theory, numerical
analysis of partial differential equations, learning theory, and
electron microscopy. A unifying theme throughout the collection is the
emphasis on a solid mathematical foundation, which serves as the basis
for the most efficient numerical algorithms used to simulate complex
phenomena.
2024 / XXII + 460 pages / hardcover / List $169.99 /
Springer Author Discount $101.99
Bookstore link:
https://link.springer.com/book/10.1007/978-3-031-75802-7
-------------------------------------------------------
From: Matteo Giacomini matteo.giacomini@upc.edu
Date: December 10, 2024
Subject: Call for abstracts, ADMOS 2025, Spain, June 2025
The XII International Conference on Adaptive Modeling and Simulation
(ADMOS 2025) will be held in Barcelona, Spain on June 9-11, 2025
(https://admos2025.cimne.com/).
ADMOS is a Thematic Conference of the European Community on
Computational Methods in Applied Sciences (ECCOMAS) and a Special
Interest Conference of the International Association for Computational
Mechanics (IACM).
The ADMOS conference series targets the challenges of reliability and
efficiency in numerical simulations, with the objective of balancing
accuracy and computational effort, towards the development of
predictive digital twins. Topics of interest include: advanced
techniques to guarantee credibility of simulations (high-order
discretisations; error estimation; validation & verification;
uncertainty quantitification; mesh and degree adaptation; time step
control; model updating); efficient solutions for many- queries
applications (reduced-order and surrogate models; data-driven models;
multi-fidelity models; statistical computing; scientific machine
learning; reinforcement learning); frontier disciplines in
computational science and engineering aiming to strengthen the synergy
between credible results and affordable computation (discretisations
on hybrid/polygonal meshes; automatic mesh generation; statistical
learning and optimisation; low-rank approximations; behavioral
approach; quantum scientific computing).
ADMOS 2025 will host:
- Three plenary lectures delivered by Rossella Arcucci (Imperial
College London, UK), Andrea Beck (University of Stuttgart, Germany),
and Fehmi Cirak (Cambridge University, UK).
- One short course on mesh generation delivered by Christophe Geuzaine
(University of Liège, Belgium).
- 16 minisymposia organised by recognised international experts on the
topics of the conference.
Authors are kindly invited to submit a contribution to one of the
minisymposia of the conference following the instructions at
https://admos2025.cimne.com/call_for_abstracts.
Oral contributions will last 20 minutes, including Q&A.
Deadline for abstract submission is December 19, 2024.
IMPORTANT NOTICE: ACCOMMODATION DURING ADMOS 2025
We warmly recommend to book your accommodation for ADMOS 2025 as soon
as possible. Besides being a highly requested tourist destination,
Barcelona is hosting other large-scale scientific and commercial
events in the same period as ADMOS 2025, reducing accommodation
availability for the conference dates. To help you find the best
accommodation for your stay in Barcelona, special agreements with some
hotels are available to conference participants. Detailed information
and a dedicated search engine for accommodation are accessible at
https://admos2025.cimne.com/accommodation.
-------------------------------------------------------
From: Sou-Cheng Choi schoi32@iit.edu
Date: December 08, 2024
Subject: 15th International Conference on Monte Carlo Methods and Applications (MCM), Chicago, Jul 2025
Dear Colleagues,
The 15th International Conference on Monte Carlo Methods and
Applications (MCM) will take place at Illinois Institute of Technology
in Chicago from July 28 to August 1, 2025. The conference brings
together researchers and practitioners to share their latest findings
in Monte Carlo methods. We are delighted to have the following diverse
group of distinguished plenary speakers:
- Nicolas Chopin, ENSAE, Institut Polytechnique de Paris
- Peter W Glynn, Stanford University
- Roshan Joseph, Georgia Institute of Technology
- Christiane Lemieux, University of Waterloo
- Veronika Rockova, University of Chicago
- Uros Seljak, University of California, Berkeley
- Michaela Szölgyenyi, University of Klagenfurt (AAU)
- Matt Pharr, NVIDIA
For important dates related to the conference and information on how
to submit your contributions, please visit the conference website
http://mcm2025chicago.org. Please consider organizing a special
session or giving a talk! The deadlines for submissions are at the end
of January.
Help us spread the word by sharing this invitation with colleagues and
peers who may be interested in attending MCM 2025, or posting it on
relevant mailing lists and online forums.
We hope to see many of you in Chicago next year!
Best regards,
MCM2025 Organizing Committee
-------------------------------------------------------
From: Angelika Wiegele angelika.wiegele@aau.at
Date: December 13, 2024
Subject: 7th European Conf. on Computational Optimization, Klagenfurt, Sep 2025
It is our great pleasure to announce that we will be organizing the
7th European Conference on Computational Optimization (EUCCO)
September 29 -- October 1, 2025
University of Klagenfurt, Austria
https://eucco2025.aau.at
As with previous EUCCO events, the program will consist of thematic
focus sessions (with solicited and contributed talks) as well as
invited plenary presentations. The preliminary list of focus sessions
is (in alphabetical order):
* Combinatorial Optimization
* Inverse Problems
* Mixed-Integer Optimization
* Model-Order Reduction for Optimization and Control
* Non-smooth Optimization
* Optimal and Feedback Control of PDEs
* Optimization and Machine Learning
* Optimization in Applications
* Optimization under Uncertainty
* Shape and Topology Optimization
Participants might also take the opportunity to attend the subsequent
4th Alps-Adriatic Inverse Problems Workshop (October 2-3, 2025).
Important dates:
* July 31, 2025: submission of abstracts closes
* July 31, 2025: registration closes
* August 31, 2025: acceptance notifications for talks
* September 8, 2025: payment closes
We hope to see you in Klagenfurt in September/October 2025!
-------------------------------------------------------
From: Mariantonia Cotronei mariantonia.cotronei@unirc.it
Date: December 10, 2024
Subject: SMART2025, Reggio Calabria, Italy, Sep 2025
SMART2025 - International Conference on Subdivision, Geometric and
Algebraic Methods, Isogeometric Analysis and Refinability in Italy
September 28—October 2, 2025,
Castello di Altafiumara, Reggio Calabria, Italy
SMART2025 is the fourth Conference in the series. The previous SMART
conferences took place in Pontignano (2014), Gaeta (2017), Rimini
(2022).
Topics of interest include but are not limited to:
Applications of Algebraic and Differential Geometry, Computer Aided
Design, Curve and Surface Design, Isogeometric Analysis, Refinability,
Approximation Theory, Subdivision, Splines, Geometry Processing,
Wavelets and Multiresolution Methods, Applications of Geometric
Methods to Industrial Computations, Geometric Deep Learning,
Computational Imaging, Industrial Design.
Invited Speakers:
Keenan Crane, Carnegie Mellon University, USA
Annie Cuyt, University of Antwerpen, Belgium
Carlotta Giannelli, University of Firenze, Italy
Marjeta Knez, University of Ljubljana, Slovenia
Stefano De Marchi, University of Padova, Italy
Jungho Yoon, Ewha Womans University, South Korea
Deepesh Toshniwal, Delft University of Technology, The Netherlands
Important dates:
Registration: opening February 1, 2025 - closing May 31, 2025
Abstract submission: opening February 1, 2025 - closing Apr 30, 2025
Notification of abstract acceptance: May 10, 2025
Room reservation at Altafiumara resort (special rates):
opening February 1, 2025 - closing May 31, 2025
Selected original research papers from the Conference will be included
in a special issue of Journal of Computational and Applied Mathematics
(Elsevier). Participants will also be invited to contribute video
presentations to a special issue of the open access video journal
Science Talks (Elsevier).
Conference website: https://www.smart2025.unirc.it/
Please feel free to contact us for any information:
smart2025.italy@gmail.com
We look forward to meeting you in Reggio Calabria in September 2025!
The Conference organizers:
Costanza Conti, Mariantonia Cotronei, Serena Morigi, Enza Pellegrino,
Francesca Pelosi, Francesca Pitolli, Sara Remogna, Lucia Romani, Maria
Lucia Sampoli, Alessandra Sestini
-------------------------------------------------------
From: Alex Bespalov a.bespalov@bham.ac.uk
Date: December 10, 2024
Subject: Faculty Positions at the University of Birmingham, UK
The School of Mathematics at the University of Birmingham invites
applications for three Assistant Professor positions. We particularly
welcome applications from those working in Applied Mathematics
(including Numerical Analysis), Data Science, and Optimisation.
Please see the following webpages for full details of the posts,
including job descriptions and contact details for informal enquiries:
* Assistant Professor (1 position)
https://www.jobs.ac.uk/job/DKT142/assistant-professor-research-and-education
Deadline for applications: 5th January 2025
This post is aimed at consolidating connections between the Schools of
Mathematics and Computer Science.
* Assistant Professor in Mathematical Sciences (2 positions)
https://www.jobs.ac.uk/job/DKT174/assistant-professor-mathematical-sciences-research-and-education
Deadline for applications: 12th January 2025
-------------------------------------------------------
From: Balázs Kovács balazs.kovacs@math.upb.de
Date: December 13, 2024
Subject: Professor position, Paderborn University, Germany
The Institute of Mathematics at Paderborn University is offering the
following position (starting at the earliest possible date): W3 –
Professorship (f/m/d) for Applied Mathematics.
Application deadline: 16 February 2025.
From the future position holder it is expected that existing research
profile in applied mathematics at Paderborn University will be
strengthened and complemented, among other things within the framework
of professional cooperation and participation in coordinated research
projects planned for the future. Furthermore, a scientific connection
within the Institute is desired, as well as a personality who can
demonstrate successful and interdisciplinary cooperation, e.g. with
the engineering sciences, computer science or physics, and who
actively participates in existing research networks, e.g. the
Paderborn Center for Parallel Computing or the Institute for Photonic
Quantum Systems.
More details can be found at:
https://www.uni-paderborn.de/zv/4-4/stellenangebote/stellenangeboteprof#c7592
https://math.uni-paderborn.de/fileadmin-eim/mathematik/Stellenausschreibungen/Kennziffer6749_-_Englisch.pdf
-------------------------------------------------------
From: Stefan Engblom stefane@it.uu.se
Date: December 11, 2024
Subject: Postdoc position, Computational Epidemiology, Uppsala University, Sweden
I am opening a postdoc position in Computational Science, specifically
in Bayesian Epidemiology. The proposed project consists of two parts:
i) developing Neural Network techniques to use in the construction of
priors, and ii) developing diagnostic techniques suitable to
simulation-based inference.
See a short project description at
https://stefanengblom.github.io/files/docs/NNB_Epidemics.pdf
The formal ad can be found at
https://www.uu.se/en/about-uu/join-us/jobs-and-vacancies/job-details?query=777444
Please apply using the online application system linked
above. Application deadline 28th of February 2025.
-------------------------------------------------------
From: Andrew Horning hornia3@rpi.edu
Date: December 13, 2024
Subject: Postdoc position, Numerical Analysis, Rensselaer Polytechnic Institute, USA
Applications are invited for a postdoctoral fellow to begin by August
16, 2025. Candidates must hold, or expect to obtain before the start
date, a Ph.D. in applied mathematics, mathematics, computer science,
or a related discipline. Candidates with an equivalent foreign degree
are also welcome to apply.
The postdoctoral fellow will work closely with Dr. Andrew Horning and
his research group in the Department of Mathematical Sciences at RPI,
focusing on the design and analysis of principled data-driven
algorithms in scientific computing. Candidates with a strong
background in numerical linear algebra, applied analysis, and
computational mathematics are encouraged to apply.
The position is a two-year fixed-term opportunity with no required
teaching duties. The expected salary range is USD $65,000 – $70,000
annually and additional limited funding for travel and equipment is
available. Applicants must submit a cover letter, curriculum vitae, a
research statement, and three letters of recommendation through
Mathjobs:
https://www.mathjobs.org/jobs/list/26032
Inquiries may be sent directly to Dr. Horning (hornia3@rpi.edu).
Evaluation of applications will be conducted on a rolling
basis. Applications submitted by January 15, 2025 will be given full
consideration.
-------------------------------------------------------
From: Andrei Draganescu draga@umbc.edu
Date: December 09, 2024
Subject: Postdoc positions, the University of Maryland, Baltimore County (UMBC), USA
The Department of Mathematics and Statistics at the University of
Maryland, Baltimore County (UMBC) has an opening for several
postdoctoral scholar positions, starting in fall 2025. The
appointments are for fixed terms, but renewable upon satisfactory
performance and funding availability. Candidates should have finished
their Ph.D. in applied mathematics, statistics, biostatistics, machine
learning, or a related field before their appointment start
date. Successful candidates are expected to carry out research,
collaborate with faculty members, apply for external funding, and
teach courses.
Candidates in all areas of applied mathematics and statistics may
apply. Our interests include but are not limited to analysis and
computation of partial differential equations and applications;
stochastic processes and applications (e.g. mathematical biology, data
science); mathematical biology with modeling and analysis of cellular
dynamics (e.g. clustered cell migration, neuromechanical locomotion,
network synchronization), parameter estimation (e.g. in
epidemiological spread, chemical reaction networks), emergent behavior
(e.g. flocking, swarming); optimization theory and numerical
optimization with applications to data science; high-dimensional
statistics; Bayesian statistics; resampling techniques; digital twins;
uncertainty quantification; statistical process control; foundations
of machine learning and artificial intelligence; statistical
applications to biomedical problems and precision medicine.
The full ad and information on how to apply can be found at:
https://www.mathjobs.org/jobs/list/25929
-------------------------------------------------------
From: Theo Mary theo.mary@lip6.fr
Date: December 09, 2024
Subject: PhD and postdoc positions, HPC and NLA, Sorbonne Université, Paris, France
We are inviting applications for PhD or postdoctoral positions at
Sorbonne Université, in the PEQUAN team of the LIP6 laboratory, in
Paris, France, in the field of high performance computing (HPC) and
numerical linear algebra (NLA). We have multiple open positions,
either for three-year PhD contracts or two-year postdoctoral
contracts, funded by the French National Agency for Research. The
start date is flexible, from March 2025 or later.
The successful applicant will work in a team project investigating
innovative high performance numerical linear algebra algorithms,
covering both fundamental questions about their design and analysis,
and practical questions about their efficient implementation on modern
parallel supercomputers and use in computational science
applications. One topic of particular current interest is the use of
low precision floating-point arithmetic, which requires the
development of both new analyses, e.g., based on probabilistic models
for rounding errors, and new algorithms, e.g., using mixed precision
arithmetic.
To apply please send your CV and cover letter to theo.mary@lip6.fr.
More details can be found at
https://perso.lip6.fr/Theo.Mary/doc/positions_Sorbonne.pdf
-------------------------------------------------------
From: Markus Bachmayr bachmayr@igpm.rwth-aachen.de
Date: December 11, 2024
Subject: Postdoc and PhD positions funded by ERC project COCOA, RWTH Aachen, Germany
The ERC Consolidator Grant project "Computational Complexity of Highly
Nonlinear Approximations" (COCOA) will fund several postdoctoral and
PhD positions at RWTH Aachen, Germany. The positions will be available
from July 1st, 2025.
The project will investigate numerical methods for high-dimensional
partial differential equations based on nonlinear approximations such
as low-rank tensor decompositions, Gaussian mixtures and neural
networks, with a particular focus on the computational costs of
reliable solvers.
Candidates for postdoc positions should have a strong background in
numerical analysis of PDEs and approximation theory, with experience
in one or several of the following topics: low-rank tensor methods for
PDEs, approximations by Gaussian basis functions, numerical analysis
of neural network-type approximations, methods for time-dependent
PDEs, multi- parametric problems, eigenvalue solvers, or mathematical
methods in quantum chemistry.
Candidates for PhD positions should have solid knowledge of analysis
and numerics of PDEs and interest in pursuing one of the above topics.
The positions will be based at the Institute for Geometry and Applied
Mathematics (IGPM) at RWTH Aachen, which offers a vibrant research
environment in applied mathematics with strong connections to other
research projects, such as the DFG CRC Sparsity and Singular
Structures.
All positions are remunerated according to TV-L E13 (100%).
To apply, please send your application documents to Markus Bachmayr
(bachmayr@igpm.rwth-aachen.de). These should include CV with contact
details of at least two references, list of publications, statement of
research interests, certificates and transcripts, and copies of (or
links to) MSc or PhD theses. Applications will be considered until all
positions are filled. Informal inquiries are welcome.
-------------------------------------------------------
From: Andreas Frommer frommer@uni-wuppertal.de
Date: December 09, 2024
Subject: 14 PhD positions, Applied Mathematics (port Hamiltonian Systems), Wuppertal, Germany
The PIs of the freshly approved Collaborative Research Center CRC 1701
“Port-Hamiltonian Systems” are delighted to announce 14 doctoral
student positions starting from April 2025 for a duration of 3 years
and 9 months. We are centered in Wuppertal (North Rhine-Westphalia,
Germany) with collaborators at Berlin, Chemnitz, Ilmenau and Trier.
We are searching for highly motivated students, preferably with a
background in continuous optimization, functional analysis,
multiobjective optimization, numerical analysis, programming /
implementation, stochastic analysis, or control theory. You can look
forward to an excellent research environment and a vibrant
interdisciplinary community.
We are happy to receive your application. Please consider
https://phi.uni-wuppertal.de/en/port-hamiltonian-institute/crc-1701/
for detailed information and the application process.
-------------------------------------------------------
From: Kirk M. Soodhalter ksoodha@maths.tcd.ie
Date: December 13, 2024
Subject: PhD Position, Predictive Models for Wastewater Treatment Systems, Ireland
Dear all,
It is my pleasure to advertise a PhD position on an interdisciplinary
project. There are three positions in the announcement with one
having a strong computational science/numerical methods component.
The position is based in Department of Civil, Structural, and
Environmental Engineering, Trinity College Dublin. Please forward to
any students with strong applied mathematics background who might be
interested in applying their knowledge to an important environmental
issue concerning wastewater.
This PhD position will focus on developing predictive models to
forecast potential failures in on-site domestic wastewater treatment
systems and provide early warnings. The successful candidate will
employ advanced machine learning techniques integrated with microbial
growth kinetics to improve predictive accuracy. By utilizing influent
and effluent water quality data (e.g., BOD, COD, nutrient
concentrations), the candidate will develop and validate models to
identify potential system failure issues. This role offers
opportunities for high-impact publications in predictive modeling and
environmental data science. The position will be supervised by Prof.
Muhammad Ali, with co-supervision by Professors Kirk M. Soodhalter and
Patrick Morrissey.
More information and the application form can be found at
https://aeesp.org/jobs/3928.
Sincerely,
Kirk M. Soodhalter
-------------------------------------------------------
From: Fabio Durastante fabio.durastante@unipi.it
Date: December 09, 2024
Subject: Temporary Research Position, University of Pisa, Italy
Numerical Analysis Group @ University of Pisa
Start Date: March 1st, 2025
Application Deadline: January 24th, 2025
Application Portal:
https://bandi.unipi.it/public/Bandi/Detail/150eaadb-8fec-4fc5-acb6-593dc7a29259
The University of Pisa invites applications for a short-term Research
Associate position within the dealii-X project. This role, based in
the Department of Mathematics, focuses on Numerical Analysis and the
creation of advanced numerical tools for high-performance simulations
using the deal.II library.
The dealii-X project aims to create an Exascale Framework for Digital
Twins of the Human Body. This initiative enhances personalized
medicine through computational models, enabling detailed simulations
of human organs.
We seek dynamic individuals with a strong scientific CV relevant to
numerical analysis and simulations. A Master’s degree in a scientific
subject is mandatory; a PhD is a plus. The successful candidate will
develop and optimize numerical tools for simulations in the deal.II
library. Key areas include meshing techniques, advanced coupling
methods, non-matching techniques, reduced-order methods, and
preconditioning.
The role involves close collaboration with international teams,
contributing to the development of the deal.II library.
Key Information:
- Research Focus: Development of numerical tools for the deal.II
library
- Department: Mathematics, University of Pisa
- Specialization: Numerical Analysis & High-Performance Computing
- Contract Duration: 24 months
- Gross Annual Salary: €32,427.96
- Application Deadline: 24th January 2025
- Starting Date: 1st March 2025 or as soon as possible thereafter
-------------------------------------------------------
From: Charley Denton cdenton@aimsciences.org
Date: December 11, 2024
Subject: Contents, AIMS Communications on Analysis and Computation, 2(4)
Communications on Analysis and Computation
December 2024, Vol. 2, No. 4
https://www.aimsciences.org/CAC/article/2024/2/4
Determination of a source term in Schrödinger equation with data taken
at final moment of observation
Oleg Imanuvilov and Masahiro Yamamoto
Stable determination of a time-dependent matrix potential for a wave
equation in an infinite waveguide
Nitesh Kumar, Tanmay Sarkar and Manmohan Vashisth
A new type of ill-posed and inverse problems for parabolic equations
Michael V. Klibanov
An augmented Lagrangian method for the identification of magnetic
permeability in a maxwell system
Djemaa Messaoudi, Ting Cheng and Daijun Jiang
The linearly backward Milstein method with truncated Wiener process
for the stochastic SIS epidemic model
Chaoyi Han and Peng Hu
The parareal algorithm for Caputo-Hadamard fractional differential
equations
Tingting He, Jian Lu and Min Li
-------------------------------------------------------
From: Charley Denton cdenton@aimsciences.org
Date: December 11, 2024
Subject: Contents, AIMS Foundations of Data Science, 7(1)
Foundations of Data Science
March 2025, Vol. 7, No. 1
https://www.aimsciences.org/FoDS/article/2025/7/1
Scientific Machine Learning: A Symbiosis
Brendan Keith, Thomas O'Leary-Roseberry, Benjamin Sanderse, Robert
Scheichl and Bart van Bloemen Waanders
GNEP based dynamic segmentation and motion estimation for neuromorphic
imaging
Harbir Antil and David Sayre
A system identification approach for non-intrusive reduced order
modeling of radiation-induced photocurrents
Pavel Bochev and Biliana Paskaleva
An over complete deep learning method for inverse problems
Moshe Eliasof, Eldad Haber and Eran Treister
A practical existence theorem for reduced order models based on
convolutional autoencoders
Nicola Rares Franco and Simone Brugiapaglia
Hyper-differential sensitivity analysis with respect to model
discrepancy: Posterior optimal solution sampling
Joseph Hart and Bart van Bloemen Waanders
Read more articles here:
https://www.aimsciences.org/FoDS/article/2025/7/1
-------------------------------------------------------
From: Charley Denton cdenton@aimsciences.org
Date: December 11, 2024
Subject: Contents, AIMS Inverse Problems and Imaging, 9(2)
Inverse Problems and Imaging
April 2025, Vol. 19, No. 2
https://www.aimsciences.org/ipi/article/2025/19/2
Convexification numerical method for a coefficient inverse problem for
the system of nonlinear parabolic equations governing mean field games
Michael V. Klibanov, Jingzhi Li and Zhipeng Yang
A variational model to remove multiplicative noise based on SAR image
feature preservation
Yamei Zhou, Zhichang Guo, Yao Li, Wenjuan Yao and Boying Wu
Quantum inverse scattering for time-decaying harmonic oscillators
Atsuhide Ishida
Reciprocal transformation based convex variational image restoration
with multiplicative noise
Yu Gan, Zhifang Liu and Huibin Chang
Variational image dehazing with a novel underwater dark channel prior
Zhengmeng Jin, Yue Ma, Lihua Min and Minling Zheng
Distribution of resonances and inverse resonance problems with the
mixed given data for the massless Dirac operator on the real line
Ting-Ting Zuo and Xiao-Chuan Xu
Read more articles here:
https://www.aimsciences.org/ipi/article/2025/19/2
-------------------------------------------------------
From: Ali R. Soheili soheili@um.ac.ir
Date: December 07, 2024
Subject: Contents, Iranian J Numerical Analysis and Optimization, 14 (4)
We are pleased to announce that the latest issue of the Iranian
Journal of Numerical Analysis and Optimization (Volume 14, Issue 4,
December 2024) is now available online. The Iranian Journal of
Numerical Analysis and Optimization (IJNAO) is indexed in Scopus, has
no page charges, and publishes original papers of high scientific
value in all areas of numerical analysis and optimization. All
research articles accepted and published by IJNAO are immediately
freely available online to read, download, and share, without any
subscription charges or registration barriers.
Further information is available on the website: https://ijnao.um.ac.ir/
1. A numerical solution of parabolic quasi-variational inequality
nonlinear using Newton-multigrid method, M. Bahi; M. Beggas;
N. Nesba; A. Imtiaz
2. Designing the sinc neural networks to solve the fractional optimal
control problem, R. Heydari Dastjerdi; G. Ahmadi
3. A space-time least-squares support vector regression scheme for
inverse source problem of the time-fractional wave equation,
A. Mohammadi; A. Tari Marzabad
4. A semi-analytic and numerical approach to the fractional
differential equations, K.N. Sachin; K. Suguntha; S. Kumbinarasaiah
5. A fuzzy solution approach to multi-objective fully triangular fuzzy
optimization problem, N. Swain; S. Maharana; S. Nayak
6. Adaptive mesh based Haar wavelet approximation for a singularly
perturbed integral boundary problem, P. Shukla; S. Saini; V. Devi
7. Mathematical modeling and optimal control of customer's behavior
toward e-commerce, H. Hassouni; S. Belhdid; O. Balati
8. Modified hat functions: Application in space-time-fractional
differential equations with Caputo derivative, E. Sedighi; O. Baghani;
H. Azin
9. An efficient collocation scheme for new type of variable-order
fractional Lane–Emden equation, H. Azin; A. Habibirad; E. Hesameddini;
M.H. Heydari
10. A novel mid-point upwind scheme for fractional-order singularly
perturbed convection-diffusion delay differential equation,
N.A. Endrie; G.F. Duressa
11. Advanced mathematical modeling and prognosication of regulated
spatio-temporal dynamics of Monkeypox, M. Baroudi; I. Smouni;
H. Gourram; A. Labzai; M. Belam
12. A Petrov–Galerkin approach for the numerical analysis of soliton
and multi-soliton solutions of the Kudryashov–Sinelshchikov
equation, H. Samy; W. Adel; I. Hanafy; M. Ramadan
-------------------------------------------------------
From: Raimondas Ciegis raimondas.ciegis@vgtu.lt
Date: December 07, 2024
Subject: Contents, Mathematical Modelling and Analysis Vol 29 Issue 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
-------------------------------------------------------
From: Sven Leyffer leyffer@anl.gov
Date: December 12, 2024
Subject: Call for Papers: COAP Special Issue on Machine Learning and Optimization
Computational Optimization and Applications is now accepting
submissions to the Special Issue: Machine Learning and Optimization.
Closes September 1, 2025
Guest Editors
Robert Bassett, Naval Postgraduate School, USA
Sven Leyffer, Argonne National Laboratory, USA
Andrea Lodi, Cornell University, USA
Justo Puerto, University of Seville, Spain
Nikolaos Sahinidis, Georgia Institute of Technology, USA
Optimization and machine learning are closely connected disciplines,
with machine learning serving as both a motivating application and an
effective technique for many recent advances in
optimization. Computational Optimization and Applications (COAP)
invites submissions of manuscripts to a special issue on optimization
and machine learning with innovative and novel ideas that advance
optimization or machine learning in two related focal areas:
1. Computational optimization techniques applied to problems in
machine learning that advance the state-of-the-art in machine learning
or demonstrate practical impact.
2. Application of machine learning techniques to solve optimization
problems with provable performance guarantees or empirical comparison
to state-of-the- art optimization solvers.
Contributions which establish new or investigate underdeveloped
connections between machine learning and optimization are also of
interest.
Link: https://link.springer.com/journal/10589/updates/27715730
-------------------------------------------------------
End of Digest
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