Subject: NA Digest, V. 22, # 39 NA Digest Tuesday, December 06, 2022 Volume 22 : Issue 39 Today's Editor: Daniel M. Dunlavy Sandia National Labs [log in to unmask] Today's Topics: ADIA Competition For Papers in Causal Research Adv Num Meth for Hyperbolic PDE, HYBRID, Jan 2023 Hackathon, SIAM CSE'23, The Netherlands, Feb 2023 ECCOMAS-IACM Math 2 Product, Italy, May-Jun 2023 Summer School, Data-Driven Methods, Italy, Jun 2023 Computational Optimization (EUCCO), Germany, Sep 2023 Permanent Research Positions, Inria Paris, France Faculty Position, Univ of Graz, Austria Faculty Positions, City Univ of Hong Kong Professor Position, Numerical Analysis, Uppsala Univ Lecturer/Senior Lecturer Position, Comp Math, Monash Univ University Assistant Position, Univ of Graz Postdoc Position, NLA/Optimization, Univ of Pisa, Italy Postdoc Position, Optimization, Argonne, USA Postdoc Position, Scientific ML, UPC-CIMNE, Spain Postdoc Positions, NLA and HPC, Charles Univ, Czech Republic PhD Position, Inverse Problems, Univ of Auckland PhD Position, ML for Polymer Systems, BCAM PhD Position, Physics-informed ML, Germany Call for Papers, Special Issue of JCAM Contents, Electron Trans Numer Anal (ETNA), 57 (2022) Contents, Evolution Equations and Control Theory, 2 (2) Subscribe, unsubscribe, change address, or for na-digest archives: http://www.netlib.org/na-digest-html/faq.html Submissions for NA Digest: http://icl.utk.edu/na-digest/ ------------------------------------------------------- From: Horst D Simon [log in to unmask] 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 [log in to unmask] 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: [log in to unmask] ------------------------------------------------------- From: Wolfgang Bangerth [log in to unmask] 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 [log in to unmask] 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 [log in to unmask] 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 [log in to unmask] 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. Fernández [log in to unmask] 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 [log in to unmask] ------------------------------------------------------- From: Martin Holler [log in to unmask] 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=yk9sbh8t8zv2tpiffs282b4vmwmgxmm Application Deadline: December 21, 2022 ------------------------------------------------------- From: Ya Yan Lu [log in to unmask] 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=uac-a578 ------------------------------------------------------- From: Maya Neytcheva [log in to unmask] 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=557974 . ------------------------------------------------------- From: Ricardo Ruiz Baier [log in to unmask] 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 [log in to unmask] Applications received by Sunday 15 January 2023, 11:55 pm (Australian Eastern time) will be given full consideration. ------------------------------------------------------- From: Vanessa Peinhart [log in to unmask] 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=yk9sbh8t8zv2tpiffs282b4vmwmgxmm or our institute webpage https://mathematik.uni-graz.at/en/jobs/ ------------------------------------------------------- From: Federico Poloni [log in to unmask] 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 [log in to unmask] 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 ([log in to unmask]) 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 [log in to unmask] 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 ([log in to unmask]) and Matteo Giacomini ([log in to unmask]). ------------------------------------------------------- From: Erin Carson [log in to unmask] 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, [log in to unmask] ------------------------------------------------------- From: Marie Graff [log in to unmask] 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 [log in to unmask] There is no formal closing date for applications, but those received by February 1st will receive priority. ------------------------------------------------------- From: Idoia Hernandez [log in to unmask] 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 [log in to unmask] 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 [log in to unmask] . 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 [log in to unmask] 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 [log in to unmask] 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 [log in to unmask] 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 **************************