Researchers seek unified simulation frameworks that can model heterogeneous architectures like CPU and GPU devices and their interactions as computing patterns move toward heterogeneous era.
It might inspire not only the most advanced cosmologist but also the most humble observer gazing at the night sky or seeking its simulation within the Atwood Sphere.
The idea, rather, is to focus on the types of reasoning on things like analogy, coherence seeking, mental simulation, dynamic modeling, argumentation, decision making, and so forth as they contribute to the generation of new artifacts.
These simulations seek to estimate the type I error in a conservative scenario.
This is the characteristic of autosomal dominant disease that the simulations seek to reproduce and explain.
Docking simulations seek to address three interdependent but distinct problems: (i) The prediction of the structure of a ligand-protein complex (binding mode), (ii) The discrimination of binders from non-binders (virtual screening) and (iii) The prediction of binding affinities.
The idea, behind this, is to use a model of oriented reactive agent simulation, to seek the relations which can link the local perceptions of the simulated robots with their basic actions, in order to make the above mentioned gathering task a success.
We seek error models for simulations that model chaotic flow.
Interestingly, the importance of participatory design may extend to the very processes of modelling and simulation that seek to clarify issues involved in the design and operation of sociotechnical systems.
First, canonical flow problems are addressed with both quasi-direct and large eddy simulations, to seek out the key ingredients that must be included in the simulations of industrial SNCR systems, in view of their optimization.
