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发表于 2025-3-25 05:49:36 | 显示全部楼层
Varsha Gandhi,Kapil Mehta,Bharat B. Aggarwalrm calculations and visualization of incompressible two-dimensional flows. The model has been applied to a wide variety of flow calculations and examples are shown in the paper emphasising the versatility that can be obtained.
发表于 2025-3-25 09:24:52 | 显示全部楼层
https://doi.org/10.1007/978-3-658-29983-5ore user-friendly “front-end” is now being proposed and presented using a hierarchical database structure through a commercially available CAD environment..By means of a brief description of its architecture and concepts, some aspects of an application in a real building performance evaluation context are shown.
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https://doi.org/10.1007/1-4020-3389-3rmation in an efficient and effective manner. Many disciplines and application have common requirements. This paper summarises current work in this area in the UK and the range of tools and techniques currently available..A Scientific Visualization Workshop in the UK in 1991 examined the areas of fr
发表于 2025-3-26 03:02:57 | 显示全部楼层
Alan C. Schultz,Lynne E. Parkerin low price systems due to the great demanding of processing time required..To help solving this problem we have been enhancing a conventional raytracing program in order to have less quality images in a shorter time. Such images can be continuously improved without loss of previous results and wit
发表于 2025-3-26 06:38:03 | 显示全部楼层
https://doi.org/10.1007/978-3-540-71559-7 for the grids generated by scientists. The visualization of the scalar and vector fields in such grids can lead to “traditional” geometric problems: point inclusion, point location, line intersection and line location. To be computational fast, any algorithm to solve these problems must appropriate
发表于 2025-3-26 09:41:35 | 显示全部楼层
https://doi.org/10.1007/978-1-4842-7083-7s actually seen by the observer’s eye i.e. the Cone Of Vision (COV). This technique improves interactivity and limits memory requirements since only the COV is stored in the core memory. This feature is very useful for very large and/or timedependent datasets. The COV approach has been implemented i
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