In many applications, coupled problems appear very naturally. For example, Fig.1 depicts a field/circuit problem, where a transformer can be modeled by a partial differential
Read moreCategory: Project in focus
FEniCS Project
The FEniCS Project is a collaborative project for the development of innovative concepts and tools for automated scientific computing, with a particular focus on automated solution of differential
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Waveform tomography with signal sparsity
The inverse problems group of the Department of Mathematics, Tampere University of Technology does research that is closely related to technological advancements in many applied
Read moreHow mathematics can help to solve the current water crisis
Population growth, drought and contamination mean that water quality and quantity concerns are one of the largest environmental issues facing the world today. As a
Read moreThe Sensible DTU Project
My name is David Kofoed Wind and I am a PhD-student in the Cognitive Systems Section at DTU Compute. My PhD-project relates around machine learning
Read moreOptimization Methods for Algorithmic Trading
A group of researchers at Department of Mathematics and Informatics, Faculty of Science University of Novi Sad, in close cooperation with a London based hedge
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Statistical methods for processing, modeling, and time series analysis in application to technical diagnostics
From three years scientists form Faculty of Fundamental Problems at Wroclaw University of Technology (WrUT), Poland, and engineers from Faculty of Geoengineering, Mining and Geology
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Image Analysis for Particle Tracking in Wood Cutting Processes
Austria is a key player in the forestry and wood industry. Separating or cutting of wood is one of the most important process steps resulting in
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Theoretical and Numerical Investigation of Nonlinear Mathematical Models
The project “Theoretical and Numerical Investigation of Nonlinear Mathematical Models” is funded under contract I02/9 from 12.12.2014 by the National Science Fund of the Bulgarian
Read moreNumerical methods for DEP modelling for lab-on-chips devices
The physical manipulation of biological cells is of vital importance in the development of laboratory operations on a small scale using miniaturized (lab-on-a-chip) devices. Microsystems
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