Маргарита Щигарева
– Keep the location and the view as close to the real reference as possible.
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Those with growth-based views, Carroll argues, still want something special, but expect rough patches. "They ask… what can they do to make their relationship better, have improvement and have growth?"
For well-distributed points, nearest neighbor search is often near O(logn)O(\log n)O(logn) in practice. In the worst case (all points clustered tightly or along a line), it can degrade to O(n)O(n)O(n), but this is uncommon with typical spatial data.
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