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dc.contributor.authorMatkovic, K.en_US
dc.contributor.authorGracanin, D.en_US
dc.contributor.authorJelovic, M.en_US
dc.contributor.authorCao, Y.en_US
dc.contributor.editorSilvia Miksch and Giuseppe Santuccien_US
dc.date.accessioned2014-01-27T15:55:56Z
dc.date.available2014-01-27T15:55:56Z
dc.date.issued2011en_US
dc.identifier.isbn978-3-905673-82-1en_US
dc.identifier.urihttp://dx.doi.org/10.2312/PE/EuroVAST/EuroVA11/045-048en_US
dc.description.abstractComputational steering integrates modeling, computation, data analysis, visualization, and data input components of a simulation. Since the simulation space is, in general, very large and continuous, selecting discrete simulation points that can reasonably represent the whole simulation space is difficult. We need to interpolate the missing values and cover a continuous region of interest in the simulation space. We describe an approach that, in an iterative manner, allows a domain expert to interactively select data points (design of experiments), approximate the values in a continuous region of the simulation space (regression) and automatically find the best points in that continuous region based on the specified constraints and objectives (optimization), using the regression and aggregated data. Once the objectives are found, the data points in the neighborhood of the objective are generated by the simulation tool thus providing a denser coverage of the regions of interest.en_US
dc.publisherThe Eurographics Associationen_US
dc.titleAdaptive Interactive Multi-Resolution Computational Steering for Complex Engineering Systemsen_US
dc.description.seriesinformationEuroVA 2011: International Workshop on Visual Analyticsen_US


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