Александра Лисица (Редактор отдела «Забота о себе»)
(Yes, SMT stems from early AI research, how can you tell?)
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Regions with many nearby points keep subdividing. Regions with few or no points stay large. The tree adapts to the data: dense areas get fine-grained cells, sparse areas stay coarse. The split grid is predetermined (always at midpoints), but the tree only refines cells that need it. Sparse regions stay as single large nodes while dense regions subdivide deeply.
Жители Санкт-Петербурга устроили «крысогон»17:52
Not really Moshe Zakha.