Call for mini-symposia for ECMI 2018 conference

The 20th European Conference on Mathematics for Industry will take place from 18th to 22nd June 2018 in Budapest, Hungary. Located at the heart of Europe, Budapest

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Merry Christmas and Happy Holidays!

Dear colleagues, friends, authors and readers of our blog, As Christmas and the New Year approaches I want to take the time to thank you

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Shape optimization to minimize failure probability (and material consumption)

Movie: Shape flow for a 2D rod towards optimal reliability.   As three working groups (Optimization, High Performance Computing and Stochastics) at the IMACM in

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Solving Differential Equations in Mixed Reality

Anders Logg, Carl Lundholm, Magne Nordaas Department of Mathematical Sciences, Chalmers University of Technology and University of Gothenburg We develop an application for solving Poisson’s

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Finnish-Chinese eLearning on Mathematical Modeling: modules on PDE’s and ODE’s.

    Mathematical modeling and simulation form a crucial method for applying mathematics in practice. With the development of computers and software it has grown

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RealForAll: Real-time measurements and forecasting for successful prevention and management of seasonal allergies in Croatia-Serbia cross-border region (project ID: HR-RS151)

Exposure to aeroallergens is associated with allergic rhinitis and asthma that significantly reduce quality of life and have a notable economic impact on society in

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Mathematics for Industry Network – 2 years on

As the Mathematics for Industry Network (MI-NET) prepared to launch their 3rd year of events we considered it timely to reflect back on our achievements.

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Students Project: Modeling X-ray tomography using low power lamps

In the occasion of celebrating 100 years of Radon transform, we were asked to model X-ray tomography experiments in a seminar room. The examples took

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Earthquakes in Barcelona: How big are the biggest earthquakes?

It has been known since the 1950s that the number of earthquakes of large magnitude follows the law of Gutenberg and Richter: for a region

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Clustering of multivariate Big Data

Clustering is the division of a collection of data into groups, or clusters, such that points in the same cluster have a small distance from

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