2026-02-27 00:00:00:03014250610http://paper.people.com.cn/rmrb/pc/content/202602/27/content_30142506.htmlhttp://paper.people.com.cn/rmrb/pad/content/202602/27/content_30142506.html11921 朝鲜举行劳动党九大纪念阅兵式
Tens of millions watched on television as Lovell and two other astronauts splashed back down into the Pacific Ocean, a moment which has become one of the most iconic in the history of space travel.
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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.