This approach shares a lot in common with the idea of multivariate interpolation over scattered data. Multivariate interpolation attempts to estimate values at unknown points within an existing data set and is often used in fields such as geostatistics or for geophysical analysis like elevation modelling. We can think of our colour palette as the set of variables we want to interpolate from, and our input colour as the unknown we’re trying to estimate. We can borrow some ideas from multivariate interpolation to develop more effective dithering algorithms.
有趣的是，报告通过构建「2028 年宏观假想模型」，详细拆解了这一死循环的传导路径。，更多细节参见雷电模拟器官方版本下载
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Туристы наблюдают за северным сиянием в Норвегии
1 hour agoShareSave。WPS官方版本下载对此有专业解读