From bounce-5437442-88629717@mm.list.cornell.edu Fri May 22 15:20:52 2026 From: "David S. Bindel" Subject: NA Digest, V. 26, # 21 Date: Fri, 22 May 2026 15:18:45 -0400 NA Digest Friday, May 22, 2026 Volume 26 : Issue 21 Today's Editor: David S. Bindel Cornell University bindel@cornell.edu Today's Topics: Passing of Cleve Moler New book, Ubiquitous Laplacian DD30 Conference, Bogota, Dec 2026 Postdoctoral Scholarship, Geometric Deep Learning, Umeå Univ, Sweden PhD Position in Applied and Computational Mathematics - University of Bergen, Norway PhD Program in Mathematics (42nd Cycle) at Sapienza University of Rome, Italy PhD position in Neural Operators for Physical Systems, University of Latvia PhD position in numerical mathematics at Western Norway University of Applied Sciences, Norway Contents, AIMS New Article: CAC Vol. 8, Art. 5 Contents, AIMS New Article: CAC Vol. 9, Art. 2, 4, 6 Contents, AIMS New Article: MFC Vol. 13, Art. 3-4 See this issue of NA Digest on the web at: https://na-digest.coecis.cornell.edu/na-digest-html/26/v26n21.html Submissions, FAQs, and archives: https://na-digest.coecis.cornell.edu/ ------------------------------------------------------- From: David Bindel bindel@cornell.edu Date: May 22, 2026 Subject: Passing of Cleve Moler We are sad to share that Cleve Moler passed away on May 20, 2026, at the age of 86, at his home and surrounded by his family: https://www.mathworks.com/company/aboutus/founders/clevemoler.html Cleve was an important member of the community (and a long-time editor of NA Digest). We anticipate a longer post in his memory in an upcoming NA Digest. ------------------------------------------------------- From: Xiangxiong Zhang zhan1966@purdue.edu Date: May 18, 2026 Subject: New book, Ubiquitous Laplacian Ubiquitous Laplacian: An Introduction to Numerical PDEs with Applications in Data Science, by Rongjie Lai and Xiangxiong Zhang This graduate-level textbook introduces numerical methods for PDEs through the unifying perspective of the Laplacian, with connections to scientific computing and modern data science. The first part covers classical numerical methods for the Laplacian and Poisson equation, including finite difference and finite element methods, together with applications to various PDE models. The second part focuses on the Laplace-Beltrami operator on triangular meshes and discrete Laplacians for point cloud representations of manifolds. The book includes homework problems and research-oriented projects suitable for graduate instruction and self-study. World Scientific, 2026 DOI: https://doi.org/10.1142/14349 Freely available sample content: https://www.math.purdue.edu/~zhan1966/book/Laplacian/index.html ------------------------------------------------------- From: Juan Galvis on behalf of the LOC of DD30 dd30colombia@unal.edu.co Date: May 20, 2026 Subject: DD30 Conference, Bogota, Dec 2026 The 30th International Conference on Domain Decomposition Methods dd30 will take place in Bogota, Colombia, Dec 6-11, 2026, at Universidad Nacional de Colombia. DD30 will bring together researchers in DD, NA, scientific computing, HPC, multiscale methods, parallel computing, and AI forscientific modeling. This will be the first DD conference held in Latin America. Speakers: Alfio Quarteroni (2026 Olof B. Widlund Prize), Marsha Berger, Juan Calvo, Victorita Dolean, Yalchin Efendiev, Luca Pavarino, Rongliang Chen, Li Luo, Tommaso Vanzan, Marcella Bonazzoli, Wei Gong, and ShuLin Wu. Submission of ms proposals and abstracts for talks and posters is now open. https://ingenieria.bogota.unal.edu.co/DD30/ https://www.ddm.org/ ------------------------------------------------------- From: Fredrik Ohlsson fredrik.ohlsson@umu.se Date: May 19, 2026 Subject: Postdoctoral Scholarship, Geometric Deep Learning, Umeå Univ, Sweden The Department of Mathematics and Mathematical Statistics at Umeå University invites applications for a two-year postdoctoral scholarship in geometric deep learning. Project: Geometry-Aware Autoencoders for Reliable Anomaly Detection. The project develops neural ODE / flow-based autoencoder methods on stratified spaces for anomaly detection under geometric and topological constraints, with applications to simulated particle detector data, e.g., LHC data. Relevant backgrounds include mathematics, physics, computer science, scientific machine learning, differential geometry, differential equations, geometric deep learning, and ML for particle physics. Good programming skills and documented experience implementing ML models are required. Location: Umeå, Sweden. Start: 1 September 2026 or by agreement. Stipend: 750,000 SEK over two years, tax-free. Deadline: 31 May 2026. Full details and application: https://www.umu.se/en/work-with-us/postdoctoral-scholarships/postdoctoral-scholarship-2-years-within-geometric-deep-learning_935515/ Contact: Fredrik Ohlsson, fredrik.ohlsson@umu.se ------------------------------------------------------- From: Ivar Stefansson ivar.stefansson@uib.no Date: May 15, 2026 Subject: PhD Position in Applied and Computational Mathematics - University of Bergen, Norway The position is part of the Differentiable Fracture Simulation, funded by the Research Council of Norway. We will develop novel models and numerical methods for fracture propagation using techniques of differentiable simulation. We seek a candidate with a master's degree in applied and computational mathematics, scientific computing, computational physics or computational geoscience. Key skills are experience with numerical methods for PDEs, mathematical modelling and collaborative/open-source software development. Application deadline: June 4th, 2026 Read more and apply: https://www.jobbnorge.no/en/available-jobs/job/302007/phd-research-fellow-in-applied-and-computational-mathematics ------------------------------------------------------- From: Davide Torlo davide.torlo@uniroma1.it Date: May 22, 2026 Subject: PhD Program in Mathematics (42nd Cycle) at Sapienza University of Rome, Italy The call for the PhD Program in Mathematics (42nd Cycle) at Sapienza University of Rome is now officially open. We welcome applications from motivated candidates with backgrounds in Mathematics, Numerical Analysis, and Scientific Computing. Notably, an increased scholarship is available for the first-ranked winning candidate holding a foreign degree and resident abroad. * Deadline: June 17, 2026, at 14:00 CET. * Duration: 3 years (starting Autumn 2026). * Selection: Based on CV, motivation/recommendation letters, and an oral interview (available remotely). Key Links: * Official PhD Call & Application Portal https://phd.uniroma1.it/web/concorso42.aspx?s=&i=3519&m=&l=EN * Numerical Analysis & Scientific Computing Research Group at Mathematics Department in Sapienza https://sites.google.com/uniroma1.it/an-sc-research-group Feel free to contact the member of the research group for more information. Please share this opportunity with your master's students and graduates. ------------------------------------------------------- From: Leandro Farina farina@alum.mit.edu Date: May 15, 2026 Subject: PhD position in Neural Operators for Physical Systems, University of Latvia The University of Latvia is ofering a funded PhD position in the area of physics-informed neural operators for modelling complex physical processes governed by partial diferential equations. The PhD project combines applied mathematics, deep learning, and scientifc computing, with a strong emphasis on operator learning methods such as DeepONet and Fourier Neural Operators, including their physics-informed extensions. The research will focus on developing theoretical understanding and practical improvements of neural operators, with direct relevance to challenging applications in hydrodynamics, in particular crystal growth processes and wave dynamics in coastal and harbour environments. The work is theory-driven but closely connected to applications: the goal is to develop mathematical and algorithmic insights that improve robustness, generalization, and physical consistency of neural operators used as fast surrogate models for PDE-based simulations. We are particularly interested in candidates with a background in applied mathematics, especially those working at the interface of mathematical modelling or theoretical physics, with a solid understanding of PDEs and numerical methods, and some prior experience in deep learning (e.g. training neural networks, familiarity with modern ML frameworks). The PhD position is funded for up to three years. The project-funded salary is approximately 2000 EUR per month before tax and corresponds to the funded workload within this project rather than a full-time appointment. Depending on the candidate's profile and interests, there may also be opportunities for additional paid involvement in related machine learning and AI-for-science projects at the University of Latvia, as well as participation in international research collaborations. If you are interested, or if you know suitable candidates, please feel free to contact the project coordinator Jānis Virbulis directly, or Leandro Farina for an informal initial discussion. Jānis Virbulis e-mail: janis.virbulis@lu.lv Leandro Farina e-mail: farina@alum.mit.edu ------------------------------------------------------- From: Carina Bringedal carina.bringedal@hvl.no Date: May 17, 2026 Subject: PhD position in numerical mathematics at Western Norway University of Applied Sciences, Norway At Western Norway University of Applied Sciences, Norway, we have a PhD position open in numerical mathematics. The position is part of the RCN-funded project "Physics-Adapted Numerical Methods for Two-Phase Flow" (PANum). The position is for a fixed-term period of 3 years with a possibility of a 4th year with career-promoting work, such as teaching duties. We are looking for motivated candidates with a master's degree in computer science, simulation science, applied mathematics, or similar, with experience in numerical analysis for ODEs/PDEs and scientific programming. The application deadline is June 5th 2026. Read more and apply: https://www.jobbnorge.no/en/available-jobs/job/300280/phd-research-fellow-in-numerical-mathematics If you have any questions about the position, do not hesitate to contact me carina.bringedal@hvl.no ------------------------------------------------------- From: Charley Denton cdenton@aimsciences.org Date: May 15, 2026 Subject: Contents, AIMS New Article: CAC Vol. 8, Art. 5 Communications on Analysis and Computation Volume: 8, Art. 5 June 2026 https://www.aimsciences.org/CAC/article/2026/8/0 Spatial regularity of mild solutions for SPDEs with piecewise constant coefficients Huihui Cheng ------------------------------------------------------- From: Charley Denton cdenton@aimsciences.org Date: May 21, 2026 Subject: Contents, AIMS New Article: CAC Vol. 9, Art. 2, 4, 6 Communications on Analysis and Computation Volume: 9, Art. 2, 4, 6 September 2026 https://www.aimsciences.org/CAC/article/2026/9/0 Factorization method for the biharmonic scattering problem for an absorbing penetrable scatterer Rafael Ceja-Ayala, Isaac Harris and General Ozochiawaeze A novel analysis of an alternating algorithm for solving the Cauchy problem for a fractional-order partial differential equation Abdallah Bradji and Daniel Lesnic A two-level Nyström-Schur preconditioner for indefinite least squares problem Peizhe Li and Kailiang Xin ------------------------------------------------------- From: Charley Denton cdenton@aimsciences.org Date: May 21, 2026 Subject: Contents, AIMS New Article: MFC Vol. 13, Art. 3-4 Mathematical Foundations of Computing Volume: 13, Art. 3-4 October 2026 https://www.aimsciences.org/mfc/article/2026/13/0 An explicit characterization for the proximal operator of the capped lq-norm Rongrong Lin, Haitao Yu and Yulan Liu Optimal control via neural networks: Determination of source term in fractional diffusion equations using alternating direction multiplier method Abdessamad Oulmelk, Mohammed Srati, Lekbir Afraites, Aissam Hadri, Mahmoud A. Zaky and Ahmed S. Hendy ------------------------------------------------------- End of Digest **************************