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Carlos Osuna,Tobias Wicky,Fabian Thuering,Torsten Hoefler,Oliver Fuhrer
Pág. 79 - 97
High-level programming languages that allow to express numerical methods and generate efficient parallel implementations are of key importance for the productivity of domain-scientists. The diversity and complexity of hardware architectures is imposing a...
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Hong Liu, Qiulong Yang and Kunde Yang
Geoacoustic inversion is an efficient method to study the physical properties and structure of ocean bottom while sequential geoacoustic inversion is a challenging task due to the complexity and non-linearity of the underwater environment. In this paper,...
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Kasper Jessen, Kasper Laugesen, Signe M. Mortensen, Jesper K. Jensen and Mohsen N. Soltani
Floating offshore wind turbines are complex dynamical systems. The use of numerical models is an essential tool for the prediction of the fatigue life, ultimate loads and controller design. The simultaneous wind and wave loading on a non-stationary found...
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Michael Schultz and Stefan Reitmann
In this paper we address the prediction of aircraft boarding using a machine learning approach. Reliable process predictions of aircraft turnaround are an important element to further increase the punctuality of airline operations. In this context, aircr...
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Terrence Deacon and Spyridon Koutroufinis
We argue that a critical difference distinguishing machines from organisms and computers from brains is not complexity in a structural sense, but a difference in dynamical organization that is not well accounted for by current complexity measures. We pro...
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