NA Digest, V. 22, # 39

NA Digest Tuesday, December 06, 2022 Volume 22 : Issue 39


Today's Editor:

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

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http://icl.utk.edu/na-digest/


From: Horst D Simon hdsimon@gmail.com
Date: December 05, 2022
Subject: ADIA Competition For Papers in Causal Research


The majority of journal articles in the investment literature make
associational claims, instead of proposing falsifiable causal
theories. As a result, the investment literature can be described as a
collection of anecdotal empirical evidence, undermined by p-hacking,
backtest overfitting, and reproducibility problems. To become a
science, investing must first embrace causal reasoning.

To help correct this, ADIA Lab has launched its Award for Causal
Research in Investments. ADIA Lab will award USD 100,000 to the
authors of three papers that help advance the use of causal inference
in investing.

More details in the Call For Papers:
https://lnkd.in/dxU-jvzk
https://lnkd.in/d6HDcYDm

Horst Simon
Director, ADIA Lab
https://www.adialab.ae/


From: Michael Dumbser michael.dumbser@unitn.it
Date: November 24, 2022
Subject: Adv Num Meth for Hyperbolic PDE, HYBRID, Jan 2023


Short Course on Advanced Numerical Methods for Hyperbolic Equations

Laboratory of Applied Mathematics, University of Trento, Italy The
course will also be made available online via ZOOM

Lecturers: Prof. Dr.-Ing. Michael Dumbser and Dr. Laura del Rio
Dates: January 30th - February 3rd 2023
Website: http://www.unitn.it/nm2023
Course fee: 250 EUR (online), other fees for onsite participation

This advanced short course is primarily designed for PhD students and
post-doctoral researchers in applied mathematics, scientific
computing, computational physics and computational mechanics.

Summary: The course consists in a structured intensive one-week
programme of 40 hours of theoretical lectures and computer laboratory
exercises on advanced numerical methods for hyperbolic partial
differential equations with applications in engineering and science.
The course covers high order finite volume and discontinuous Galerkin
methods, also on unstructured triangular simplex meshes; Riemann
solvers, higher order TVD, ENO and WENO schemes, the discretization of
hyperbolic PDE with non-conservative products, well balanced schemes
as well as meshless Lagrangian particle methods.

The lectures are supplemented with computer laboratory exercises to
provide practical hands-on experience concerning the practical aspects
of the implementation of these advanced numerical methods.

Further information can be found on the dedicated web page
http://www.unitn.it/nm2023

The deadline for registration is January 25th 2023.

For further questions, please contact:
Prof. Dr.-Ing. Michael Dumbser
e-mail: michael.dumbser@unitn.it


From: Wolfgang Bangerth bangerth@colostate.edu
Date: November 25, 2022
Subject: Hackathon, SIAM CSE'23, The Netherlands, Feb 2023


The SIAM CSE'23 conference in Amsterdam this coming spring will be
preceded by a hackathon on February 25-26, 2023. This two-day event is
focused on creating cutting-edge mathematical solutions to real-world
problems in industry. During these two days, you will work with a team
to solve a specific and real problem using applied mathematics. These
challenges will be provided by one of the participating industry
partners.

We are looking for 125 emerging talents (students, Ph.D. students and
post docs) in the field of computational science and engineering who
combine deep algorithmic knowledge, strong implementation skills, and
a visionary mindset. Participants are coming from all over the world!
Participation is independent from participation in the SIAM CSE23
conference.

Register yourself via https://go.siam.org/hackathon2023

For more information, see also here:
https://www.siam.org/conferences/cm/program/special-events/cse23-special-events


From: Matteo Giacomini matteo.giacomini@upc.edu
Date: December 02, 2022
Subject: ECCOMAS-IACM Math 2 Product, Italy, May-Jun 2023


Math 2 Product (M2P) - Emerging Technologies in Computational Science
for Industry, Sustainability and Innovation is a new Thematic
Conference of the European Community on Computational Methods in
Applied Sciences (ECCOMAS) and a new Special Interest Conference of
the International Association for Computational Mechanics (IACM).

The conference will take place in Taormina (Sicily, Italy) from May 30
to June 1, 2023 (https://m2p2023.cimne.com/).

The goal pursued by M2P is twofold. On the one hand, cases of
successful interaction between mathematics and industry will be
presented. Special emphasis will be devoted to the benefits provided
by the transfer of knowledge in different fields of applications,
including the social challenges of sustainable development. On the
other hand, ground-breaking ideas and emerging technologies in
computational science will be discussed to foster cross-fertilisation
of academic solutions and real-world problems. M2P is meant to
establish a platform for proposal, discussion and promotion of current
and new trends in industry, sustainability and innovation, with the
goal of supporting creative and interdisciplinary thoughts.

You are kindly invited to submit a contribution
(https://m2p2023.cimne.com/call_for_abstracts) to one of the invited
sessions hosted by the conference. Oral contributions will last 20
minutes, including Q&A.

Deadline for abstract submission: January 15, 2023

M2P 2023 will be an in-person only event, we look forward to welcoming
you in Taormina, in May 2023!


From: Dimitri Breda dimitri.breda@uniud.it
Date: November 28, 2022
Subject: Summer School, Data-Driven Methods, Italy, Jun 2023


The 18th "Dobbiaco Summer School in Numerical Analysis" will take
place from 18 to 23 June 2023 at Dobbiaco/Toblach, northern Italy.

The title is "Data-driven methods for the computational sciences" and
the lecturers are
- Nathan Kutz, University of Washington, Seattle - USA
(https://amath.washington.edu/people/j-nathan-kutz)
- Karsten Urban, Ulm University, Germany
(https://www.uni-ulm.de/mawi/institut-fuer-numerische-mathematik/institut/mitarbeiter/prof-dr-karsten-urban/).

The school is mainly intended for PhD students and young
researchers. Registration will open in January 2023. For further
information please see https://dmi.units.it/dobbiaco/


From: Roland Herzog roland.herzog@iwr.uni-heidelberg.de
Date: November 29, 2022
Subject: Computational Optimization (EUCCO), Germany, Sep 2023


It is a great pleasure to announce that we will be organizing the
6th European Conference on Computational Optimization (EUCCO)
September 25-27, 2023
Heidelberg University, Germany
https://tinyurl.com/eucco2023

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 Optimization and Machine Learning; Nonsmooth Optimization;
Optimization under Uncertainty; Inverse Problems; Optimization on
Manifolds; Optimal and Feedback Control of PDEs; Shape and Topology
Optimization; Model-Order Reduction for Optimization; Mixed-Integer
Optimization; Optimization in Applications

Due to the generous support by various sponsors, we will be able to
offer travel support for young researchers upon request. The details
are available on the web page.

Important dates:
Jan 31, 2023: submission of abstracts opens
May 31, 2023: submission of abstracts close
May 31, 2023: travel support applications close
June 16, 2023: acceptance notifications for talks and travel support
June 30, 2023: registration opens


From: Miguel A. Fern=E1ndez miguel.fernandez@inria.fr
Date: November 30, 2022
Subject: Permanent Research Positions, Inria Paris, France


For its 2023 recruitment campaign, Inria will offer two class of
permanent research positions:
- Normal Class Researcher (CRCN) positions, which offer a civil
servant status and do not have teaching duties;
- Inria Starting Faculty Positions (ISFP), which offer an
unlimited-term contract and are associated with a teaching service
in an Inria partner higher education institution (approximately 32
to 64 hours per year).

COMMEDIA project-team (https://team.inria.fr/commedia/) is seeking
candidates whose research demonstrably aligns with one or more of our
research themes, which include mathematical modeling, scientific
computing and inverse problems for the simulation of cardiovascular or
respiratory flows. For full details about the positions and to apply,
please contact miguel.fernandez@inria.fr.


From: Martin Holler martin.holler@uni-graz.at
Date: November 25, 2022
Subject: Faculty Position, Univ of Graz, Austria


The Institute of Mathematics and Scientific Computing at the
University of Graz is filling a 6-year faculty position in the
research group "Mathematics of Data Science"

The research focus of this position is on mathematical foundations and
interdisciplinary applications of machine learning and inverse
problems.

Benefits of the position include:
- Close integration into a well-established, interdisciplinary
cooperation network of several research groups in Graz working in
the areas of Inverse Problems, Machine Learning, Optimization and
Medical Image Processing
- High degree of autonomy; possibility to conduct independent
research, to apply for third-party funding, to teach courses, and to
supervise theses
- Part of an active research group working on both mathematical
foundations and concrete applications with interdisciplinary
cooperation partners, e.g., from biomedical imaging, neuropsychology
or emergency care medicine

More details can be found at
https://jobs.uni-graz.at/ausschreibung/en/?jh=3Dyk9sbh8t8zv2tpiffs282b4vmwmgxmm

Application Deadline: December 21, 2022



From: Ya Yan Lu mayylu@cityu.edu.hk
Date: November 24, 2022
Subject: Faculty Positions, City Univ of Hong Kong


The Department of Mathematics at City University of Hong Kong is
recruiting a number of assistant, associate, full or chair professors
in applied and computational mathematics. More information about the
positions can be found in the web page:
https://www.cityu.edu.hk/hro/en/job/current/academic.asp?ref=3Duac-a578


From: Maya Neytcheva maya.neytcheva@it.uu.se
Date: November 25, 2022
Subject: Professor Position, Numerical Analysis, Uppsala Univ


The Department of Information Technology, Uppsala University, Sweden
invites applicants for the position of a full professor in Numerical
Analysis.

The position is hosted by the Division of Scientific Computing within
the Department of Information Technology.

In filling this position we want to ensure a continued strong
competence in numerical analysis and a continued development of our
research and research education in this area. We are in particular
looking for expertise at the intersection of mathematics and
computations, in the areas numerical analysis for differential
equations, numerical linear algebra and/or numerical optimization.

The deadline for applying is February 1, 2023.

The detailed announcement with information regarding duties, details
of employment etc. is at
https://www.uu.se/en/about-uu/join-us/details/?positionId=3D557974 .



From: Ricardo Ruiz Baier ricardo.ruizbaier@monash.edu
Date: November 28, 2022
Subject: Lecturer/Senior Lecturer Position, Comp Math, Monash Univ


The School of Mathematics at Monash University invites applications
for a four-year fixed-term academic position at the level of Lecturer
or Senior Lecturer in the field of computational mathematics. We are
particularly interested in candidates with expertise in numerical
analysis of PDEs.

The group of numerical and computational mathematics at Monash does
research that spans many aspects in this field: numerical analysis,
high performance computing, optimisation and OR, inverse problems,
applied PDEs, uncertainty quantification, etc. This group sits in a
vibrant school with a strong research in broader applied mathematics,
but also in pure mathematics and probability/statistics.

For further information about the position, as well as salary details
and specifics on the application procedure, see
https://careers.pageuppeople.com/513/cw/en/job/643321/lecturer-senior-lecturer-in-applied-and-computational-mathematics

Formal enquiries should be addressed to sci-maths-jobs@monash.edu.

Applications received by Sunday 15 January 2023, 11:55 pm (Australian
Eastern time) will be given full consideration.


From: Vanessa Peinhart vanessa.peinhart@uni-graz.at
Date: November 25, 2022
Subject: University Assistant Position, Univ of Graz


The Institute of Mathematics and Scientific Computing is looking for
an University assistant with doctorate (m/f/d) 40 hours a week
fixed-term employment for 6 years position to be filled as of now.

At the university location Graz with three universities, there is an
established interdisciplinary cooperation network of several research
groups in the areas of Inverse Problems, Machine Learning,
Optimization and Medical Image Processing. The advertised faculty
position is part of the research group "Mathematics of Data Science"
at the Institute of Mathematics and Scientific Computing at the
University of Graz, and is closely integrated into this cooperation
network. The position focuses on research in mathematical foundations
and interdisciplinary applications of machine learning and inverse
problems. In addition to cooperation in the group "Mathematics of Data
Science", the position is characterized by a high degree of autonomy;
there is the possibility to conduct independent research, apply for
thirdparty funding projects, teach courses, and supervise theses.

For more detailed information and application, please visit the
official job webpage of the University of Graz
https://jobs.uni-graz.at/ausschreibung/en/?jh=3Dyk9sbh8t8zv2tpiffs282b4vmwmgxmm
or our institute webpage https://mathematik.uni-graz.at/en/jobs/


From: Federico Poloni federico.poloni@unipi.it
Date: December 02, 2022
Subject: Postdoc Position, NLA/Optimization, Univ of Pisa, Italy


The Department of Computer Science of the University of Pisa offers a
1-year postdoctoral ("assegno di ricerca") position on a project named
"Modeling and Numerical Simulation of Complex Systems", as part of the
National Centre on HPC, Big Data and Quantum Computing of the Italian
National Recovery and Resilience Plan.

The postdoc should collaborate with the project leads in performing
research on either: (1) algorithms for complex network analysis and
simulation from the numerical linear algebra point of view, especially
in the area of metrics based on Markov chains, or (2) algorithms for
large-scale structured optimization, with particular emphasis on
parallel decomposition approaches.

The call is open to all candidates with a master's degree in the areas
of numerical analysis, optimization and computer science (Italian
scientific sectors MAT/08, MAT/09, INF/01); it is not necessary to
have completed one's PhD studies and hold a doctoral title at the time
of application.

The call is open until December 28.

Additional information:
https://bandi.unipi.it/public/Bandi/Detail/413ccf8c-8e45-453a-b0bc-7bbf4c668292

Applications: https://pica.cineca.it/unipi/ass-pnrr-inf2022-1/


From: Sven Leyffer leyffer@anl.gov
Date: December 02, 2022
Subject: Postdoc Position, Optimization, Argonne, USA


Postdoc in Optimization and Mathematics for Digital Twins

The Mathematics and Computer Science Division at Argonne National
Laboratory seeks candidates for a postdoctoral position in numerical
optimization. In this role you will perform research in analysis and
implementation of algorithms for solving optimization problems that
involve digital twins to model complex systems. Applications include,
but are not limited to, data assimilation and control for
self-assembly systems and optimal experimental design and control for
autonomous devices.

Research will be performed in close collaboration with leading
scientists in applied mathematics and computer science. Researchers
will have access to cutting-edge extreme-scale computing
facilities. Argonne provides a collaborative, open-science environment
where scientists from various disciplines and backgrounds are engaged
in solving challenging fundamental and practical problems. We actively
promote diversity in backgrounds, experiences, and perspectives.

For more information on the applied mathematics, numerical software,
and statistics group at Argonne, see https://www.anl.gov/mcs/lans

Position Requirements
- Recent or soon-to-completed PhD (typically within the last 0-3
years) in applied mathematics, statistics, computer science,
industrial engineering or related field.
- Experience in nonlinear optimization, PDE-constrained optimization,
machine learning, or optimal control.
- Interest in contributing to numerical software development.
- Experience with (or willingness to explore) high-performance
computing environments.
- Openness to adopt Argonne's core values of impact, respect,
integrity, safety and teamwork.

Questions can be directed to Sven Leyffer (leyffer@anl.gov)

Interested candidates should apply here: https://tinyurl.com/ykutnr94
(or search at https://www.anl.gov/hr/postdoctoral-applicants)

US citizenship or permanent residence status are NOT required for this
position.


From: Matteo Giacomini matteo.giacomini@upc.edu
Date: December 05, 2022
Subject: Postdoc Position, Scientific ML, UPC-CIMNE, Spain


One Postdoctoral Fellow position is available immediately in the
Laboratori de Calcul Numeric (LaCaN) at Universitat Politecnica de
Catalunya (UPC) in Barcelona. The successful candidate will join a
dynamic research group focusing on the development of novel strategies
for scientific machine learning optimization in automotive
industry. The position will be part of a funded project. The Fellow
will be based primarily in the Credible high- fidelity data-driven
models group working at the intersection of computational science and
engineering, multi-physics, shape/topology optimization, and machine
learning. Our dynamic, diverse and fun team is looking to add another
motivated, ambitious and highly qualified creative postdoctoral fellow
with excellent written and verbal communication skills. This position
will remain open until filled and is available for a minimum of 2
years. Salary will be determined based on the University guidelines
for Postdoctoral Fellows. LaCaN/UPC and CIMNE (International Centre
for Numerical Methods in Engineering) offer many opportunities to
engage in cutting-edge research and is the ideal training ground for
postdocs who strive to further develop their skills in pursuit of a
career in academia or industry.

Required qualifications: The successful applicant must have a PhD,
with expertise in mathematical modeling, computational engineering
and/or machine learning. Preference will also be given to candidates
with a background in any of the following: development and programming
for finite elements/volumes, transient Navier-Stokes modeling, coupled
multi-physics simulations, reduced order models, neural networks,
Gaussian process regression, deep reinforcement learning, and
programming skills (Matlab and Fortran/C++). The successful applicant
will have a track record of productive research and publications.

Required application material: CV & brief statement of research
interest.

Email applications to Antonio Huerta (antonio.huerta@upc.edu) and
Matteo Giacomini (matteo.giacomini@upc.edu).


From: Erin Carson carson@karlin.mff.cuni.cz
Date: December 02, 2022
Subject: Postdoc Positions, NLA and HPC, Charles Univ, Czech Republic


The Faculty of Mathematics and Physics at Charles University invites
applicants for two postdoctoral researcher positions in numerical
linear algebra and high-performance computing.

The positions are funded by the ERC in the framework of the ERC
Starting Grant project inEXASCALE. Further details about the project
can be found at the project website:
https://www.karlin.mff.cuni.cz/~carson/inexascale

The project will involve rigorous error analysis and algorithm
development. The candidate should ideally have a PhD in computer
science, mathematics, or a related field, with background in one or
more of the following areas: numerical linear algebra, Krylov subspace
methods, finite precision analysis, randomized numerical linear
algebra, parallel algorithms, and high-performance computing.

The initial appointment period is 1 year, with possibility of an
extension of 2 additional years. The desired start date is March 1,
2023, although this is negotiable. By the start date the applicants
must hold a PhD degree. The position will remain open until filled,
but for full consideration, applications should be submitted by
January 15, 2023.

Details on how to apply can be found at
https://www2.karlin.mff.cuni.cz/~carson/inexascale#openpositions

Questions regarding the application can be directed to: Dr. Erin
C. Carson, carson@karlin.mff.cuni.cz


From: Marie Graff marie.graff@auckland.ac.nz
Date: November 24, 2022
Subject: PhD Position, Inverse Problems, Univ of Auckland


One PhD studentship is available in the Department of Mathematics at
the University of Auckland, for work on a project in the general field
of inverse problems. The successful applicant will have had an Honours
or Masters degree in some area of quantitative science (such as
Mathematics, Physics or Engineering) and will have a demonstrated
interest in applications of mathematical techniques to imaging,
particularly those arising in medical imaging, seismology or image
processing. A good background in optimisation, functional analysis and
scientific programming is desirable. The successful applicant will
work with the researchers Marie Graff at the University of Auckland,
and Bamdad Hosseini at the University of Washington, Seattle.

The positions will be available starting in March 2023, and come with
funding that will cover tuition fees and an annual stipend of $35,000
NZD for three years.

Interested candidates should send their CV, a copy of their academic
record, and a brief statement of why they are interested in the
position, to Marie Graff, at marie.graff@auckland.ac.nz. There is no
formal closing date for applications, but those received by February
1st will receive priority.


From: Idoia Hernandez recruitment@bcamath.org
Date: November 29, 2022
Subject: PhD Position, ML for Polymer Systems, BCAM


Basque Center for Applied Mathematics is offering a PhD position in
Developing machine learning for polymer systems in the framework of
CINEMA project to work with Jose A. Lozano. The aim of the researcher
will be to develop regression and classification machine learning
methods for systems involving missing/noisy data.

Contract: 36 moths
Applications: https://cinema-dn.eu/application/

Requirements: MSCA-recruiting rules are applied: not having resided in
Spain for more than 12 months in the 3 years immediately before the
recruitment date, and not having carried out their main activity
(work, studies, etc.) in Spain during this period. Having a master
degree or equivalent diploma, and not having a doctoral degree.
Background in polymer materials is welcomed. Excellent command of
written and spoken English is a must.

Skills: Ability for research management, dissemination, communication
with colleagues and supervisors, strong teamwork spirit, creativity
and problem solving.

Experience: Research experience in the academic or industrial sector
will be considered.

More info at:
http://www.bcamath.org/en/research/job/ic2022-11-phd-on-developing-machine-learning-for-polymer-systems-cinema


From: Martin Burger martin.burger@fau.de
Date: November 29, 2022
Subject: PhD Position, Physics-informed ML, Germany


Within the project "Automated Simulation Abstraction Pipeline" in
cooperation with Schaeffler Technologies AG & Co. KG we offer a
Doctorate position (75 %, TV-L 13, for 3 years) at the Department of
Mathematics at the Friedrich-Alexander-Universitat Erlangen-Nurnberg,
chair for Applied Mathematics (Prof. Martin Burger), starting as soon
as possible.

The focus of the proposed PhD project is the development of physics-
informed machine learning approaches for the abstraction of simulation
tools for roller bearings. State-of-the-Art techniques from machine
learning, including deep neural networks, shall be made available to
learn the relation between various and input- and output-parameters
relevant for roller bearings, based on synthetic data from available
simulation tools. A key issue in method development is to develop
adaptive sampling strategies for the training data.

The project deals with the combination of machine learning techniques
and numerical schemes for partial differential equations. Therefore,
an above-average master's degree in mathematics, data science, or a
related discipline is required. We further expect sound knowledge in
numerical methods and machine learning, including experience with
programming and implementation of algorithms. A background in
continuum mechanics and finite element methods is useful.

Please send your application (cover letter, CV, an official listing of
your grades, and contact details of a reference, if possible)
electronically to martin.burger@fau.de .

Compatibility of family and work is promoted at both universities.
Female candidates are particularly encouraged to apply. Equal
opportunity is an essential element of our personnel
policy. Applications from handicapped or equated applicants are
welcome.


From: Luisa Fermo fermo@unica.it
Date: December 02, 2022
Subject: Call for Papers, Special Issue of JCAM


It is with great pleasure that we invite you to submit a paper for the
special issue of the Journal of Computational and Applied Mathematics
"Advances in Quadrature, Cubature, and the Solution of Integral
Equations with Applications". The purpose of this Special Issue is to
report and review recent developments concerning numerical
integration, integral equations, and applications. Further details,
including the submission process, can be found below or on the page
https://www.sciencedirect.com/journal/journal-of-computational-and-applied-mathematics/about/call-for-papers.

The manuscript must be written in English. The submitted papers
should present previously unpublished, original results that are not
simultaneously submitted elsewhere. All papers will be rigorously
peer-reviewed.

Deadline for manuscript submissions: July 1, 2023.

Guest Editors: Luisa Fermo, Gradimir Milovanovic, Ramon Orive, Lothar
Reichel, Miodrag Spalevic.


From: Lothar Reichel reichel@math.kent.edu
Date: November 26, 2022
Subject: Contents, Electron Trans Numer Anal (ETNA), 57 (2022)


Special Volume of the AAIP 2021 conference

B. Hofmann and P. Mathe, The degree of ill-posedness of composite
linear ill-posed problems with focus on the impact of the non-compact
Hausdorff moment operator

S. Kindermann, On the tangential cone condition for electrical
impedance tomography

T. Jahn, A probabilistic oracle inequality and quantification of
uncertainty of a modified discrepancy principle for statistical
inverse problems

D. Gerth, A note on numerical singular values of compositions with
non-compact operators

P. Pornsawad, C. Bockmann, and W. Panitsupakamon, The
Levenberg-Marquardt regularization for the backward heat equation with
fractional derivative

L. Vierus and T. Schuster, Well-defined forward operators in dynamic
diffractive tensor tomography using viscosity solutions of transport
equations

P. Miller and T. Hohage, Convergence rates for oversmoothing Banach
space regularization

T. Hohage and F. Werner, Error estimates for variational
regularization of inverse problems with general noise models for data
and operator

S. Leweke and V. Michel, Regularized functional matching pursuit for
the spherical multiple-shell electro-magnetoencephalography problem

J.-F. Pietschmann and M. Schlottbom, Data-driven gradient flows

S. Hubmer, E. Sherina, S. Kindermann, and K. Raik, A numerical
comparison of some heuristic stopping rules for nonlinear Landweber
iteration



From: Irena Lasiecka lasiecka@memphis.edu
Date: November 30, 2022
Subject: Contents, Evolution Equations and Control Theory, 2 (2)


April 2023, Vol. 12, No. 2
https://www.aimsciences.org/eect

1. A note on control of one-dimensional heterogeneous reaction-
diffusion equations, Maicon Sonego and Raju Roychowdhury

2. Analysis of diffusive size-structured population model and optimal
birth control, Manoj Kumar, Syed Abbas and Rathinasamy Sakthivel

3.Controllability of a backward stochastic cascade system of coupled
parabolic heat equations by one control force, Mohamed Fadili

4. Controllability of a simplified time-discrete stabilized Kuramoto-
Sivashinsky system, Vector Hernandez-Santamaria

5. Time periodic solution to a mechanochemical model in biological
patterns, Chengxin Du and Changchun Liu

6. Controllability of fractional measure evolution systems with state-
dependent delay and nonlocal condition, Yongyang Liu and Yansheng Liu

7. Boundary null controllability for the heat equation with dynamic
boundary conditions, Salah-Eddine Chorfi, Ghita El Guermai, Abdelaziz
Khoutaibi and Lahcen Maniar

8. Exact controllability of semilinear heat equations through a
constructive approach, Sylvain Ervedoza, Jerome Lemoine and Arnaud
Munch

9.Controllability of Hilfer type fractional evolution neutral integro-
differential inclusions with non-instantaneous impulses, K. Sanjay and
P. Balasubramaniam

10.Time periodic solution to chemotaxis-shallow water system in a
periodic domain, Qingfang Shi and Xinli Zhang

11. Stabilization of nonautonomous linear parabolic-like equations:
Oblique projections versus Riccati feedbacks, Sergio S. Rodrigues

12. The Heavy ball method regularized by Tikhonov term. Simultaneous
convergence of values and trajectories, Akram Chahid Bagy, Zaki Chbani
and Hassan Riahi

13. On the well-posedness of a tensor-based second order PDE with
bilateral term for image super-resolution, El Mourabit Idriss,
Abdelilah Hakim and Amine Laghrib

14. On a beam model with degenerate nonlocal nonlinear damping, Vando
Narciso, Fatma Ekinci and Erhan Pi_kin

15.Robustness for coupled inclusions with respect to variable
exponents, Jacson Simsen


End of Digest