CutFEM: Discretizing Partial Differential Equations and Geometry

by Andre’ Massing The burden of mesh generation The generation of meshes, as a fundamental prerequisite for the majority of computational methods for partial differential equations (PDEs), is a challenging task that can easily account for > 80% of the time in the overall simulation workflow. For instance, the simulation […]

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A glimpse into a collaboration between academia and industry

By Andrea Leone, Ergys Çokaj, Halvor Snersrud Gustad Halvor is an industrial-PhD student at TechnipFMC, a global leader in oil and gas engineering, and the Department of Mathematical Sciences of the Norwegian University of Science and Technology (NTNU). Andrea and Ergys are PhD students at the Department of Mathematical Sciences […]

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Mapping lakes and learning Hamiltonians

By Håkon Noren While the tiny boat was immersed in darkness on the largest freshwater lake in Norway, Mjøsa, an underwater remotely operated vehicle (ROV) made its way down the water column. It was heading towards a particular coordinate, upon where HUGIN, an autonomous underwater vehicle (AUV) had spotted the […]

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IAMG2023 conference in Trondheim, Norway

Jo Eidsvik, Department of Mathematical Sciences, NTNU  Steinar Ellefmo, Department of Geoscience and Petroleum, NTNU The international association of Mathematical Geosciences (IAMG) conference will take place in Trondheim 5-12 August, 2023 (https://www.iamgconferences.org/iamg2023/). This is an annual conference to promote, worldwide, the advancement of mathematics, statistics and informatics in the geosciences. The goal is further […]

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Centre for Geophysical Forecasting 

By Jo Eidsvik, Department of Mathematical Sciences, NTNU  Research Director, Centre for Geophysical Forecasting The Centre for Geophysical Forecasting (CGF, https://www.ntnu.edu/cgf) is one of the Norwegian centres for research-based innovation, funded by the research council of Norway and 13 industry partners. The goal of CGF is to become a world-leading research and innovation […]

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Partial differential equations, statistics and data in an interdisciplinary approach to data-based modelling

By Mats Ehrnström NTNU Norwegian University of Science and Technology IMod is a 2022–2028 interdisciplinary project for building, analyzing and testing frameworks for data-based modelling built on partial differential equations and statistical modelling. It includes work packages and applications in surface fluid mechanics and neuroscience. Its primary objective is to develop a […]

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Automated theorem provers and their role in cryptography

By Morten Rotvold Solberg and Kristian Gjøsteen In the 1970s, Fields Medal winner Paul Cohen made the prediction that in the future, mathematicians would be replaced by computers, implying that all of mathematics – including the writing of proofs – could be automated (Sriraman, 2017). While arguably bold, Cohen’s prediction […]

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The “Norwegian Workshop on Mathematical Optimization, Nonlinear and Variational Analysis” will be arranged at NTNU from April 26 – 28, 2023 

By Elisabeth and Markus Köbis The aim of this workshop is to bring together experts from different countries with researchers in Norway to exchange the latest contributions and present the state of the art in the fields of nonlinear and variational analysis, set and vector optimization, operations research and life […]

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Climate risk modelling, using a new parametrisation of multivariate generalised Pareto distribution

The Department of Probability and Statistics organised a workshop about the hot topic of Climate Risk in November, 2022. There were quite a few interesting talks held by experts from financial institutions, like Morgan Stanley or MSCI. The academic side was represented by Johannes Stroebel (NYU) and András Zempléni of […]

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