Titlebook: Learning from Dynamic Visualization; Innovations in Resea Richard Lowe,Rolf Ploetzner Book 2017 Springer International Publishing AG 2017 A

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書目名稱Learning from Dynamic Visualization影響因子(影響力)




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書目名稱Learning from Dynamic Visualization網(wǎng)絡(luò)公開度




書目名稱Learning from Dynamic Visualization網(wǎng)絡(luò)公開度學科排名




書目名稱Learning from Dynamic Visualization被引頻次




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書目名稱Learning from Dynamic Visualization年度引用學科排名




書目名稱Learning from Dynamic Visualization讀者反饋




書目名稱Learning from Dynamic Visualization讀者反饋學科排名

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Richard Lowe,Jean-Michel Boucheixamics, such as flow separation, base drag and airfoil theory, especially the law of the wall for turbulent boundary layers and the instability of boundary layers en route to turbulence.During the fifty years that Prandtl was in the G?ttingen Research Center, he made important contributions to gas dy

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amics, such as flow separation, base drag and airfoil theory, especially the law of the wall for turbulent boundary layers and the instability of boundary layers en route to turbulence.During the fifty years that Prandtl was in the G?ttingen Research Center, he made important contributions to gas dy

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Rolf Ploetzner,Bianka Breyerver the previous approach is clearly shown by contrasting the convergence paths of the typical algorithms in the design space of the sample problem. Min-max dynamic response optimization programs are developed and applied to three typical examples to confirm that the performance of the suggested app

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Learning from Static and Dynamic Visualizations: What Kind of Questions Should We Ask?ed to similar performance. However, dynamic visualizations and sequentially presented static graphics emphasizing temporal information led to better learning results than simultaneously presented static graphics emphasizing spatial information. It is concluded that instead of relying on the traditio

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