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Titlebook: Visualization in Scientific Computing ’98; Proceedings of the E Dirk Bartz Conference proceedings 1998 Springer-Verlag/Wien 1998 Dynamics.S

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11#
發(fā)表于 2025-3-23 13:19:40 | 只看該作者
12#
發(fā)表于 2025-3-23 17:34:09 | 只看該作者
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發(fā)表于 2025-3-23 20:54:32 | 只看該作者
Particle Tracing on Sparse Grids a very efficient one improving the ratio of invested storage and computing time to the achieved accuracy for many problems in the area of numerical solution of differential equations, for instance in numerical fluid mechanics. The particle tracing algorithms that are available so far cannot cope wi
14#
發(fā)表于 2025-3-24 00:08:09 | 只看該作者
Visualization of Time-Dependent Velocity Fields by Texture Transportandable and precise way, which should be closely related to the physical interpretation. A new tool, the texture transport method is presented, which especially applies to time-dependent velocity fields. It is based on an accurate numerical scheme for convection equations, which is used to compute L
15#
發(fā)表于 2025-3-24 05:14:39 | 只看該作者
Stereoscopic Volume Rendering briefly describing the target application of our research, radiation therapy planning, why we believe that stereoscopic viewing may be helpful for this, and the design of our DVR system. We then report on some of the problems we have encountered, and the results we have obtained in experiments. The
16#
發(fā)表于 2025-3-24 09:37:17 | 只看該作者
Mirror, Mirror on the Wall, Who Has the Best Visualization of All? - A Reference Model for Visualizalizations (or visualization systems) to each other? In the following, the importance of considering the’visualization context’ is stressed. It consists of the prior knowledge of the user; the aims of the user; the application domain; amount, structure, and distribution of the data; and the available
17#
發(fā)表于 2025-3-24 13:26:15 | 只看該作者
18#
發(fā)表于 2025-3-24 15:33:17 | 只看該作者
19#
發(fā)表于 2025-3-24 22:46:03 | 只看該作者
20#
發(fā)表于 2025-3-24 23:13:29 | 只看該作者
Experiments on the Accuracy of Feature Extractioneen done for several grid resolutions, for different noise levels, and with different feature extraction parameters. We present the results of the experiments, and also derive a number of guidelines for setting the extraction parameters.
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