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For example, imagining that the window was above the dimensions 200x300 (width x height)
and was divided into 6 zones (see A, B, C, D, E and F), And i use the tree to
quickly and efficiently determine if a click in a window would be associated with
any node in the graph. If i click on the 150x150 position (the middle of the zone D). To
the standardization divide all the measurements from the horizontal size ( 'H') or
vertical ( 'V') of the window. Thus, the click would be normalized to the values (x, y) = (150/200,
150/300) = (0.75, 0.50).
I have all the data structures of the trees implemented i only need a head start on this since i dont know what the right way to go on this.
thanks in advange.
BST.png
and was divided into 6 zones (see A, B, C, D, E and F), And i use the tree to
quickly and efficiently determine if a click in a window would be associated with
any node in the graph. If i click on the 150x150 position (the middle of the zone D). To
the standardization divide all the measurements from the horizontal size ( 'H') or
vertical ( 'V') of the window. Thus, the click would be normalized to the values (x, y) = (150/200,
150/300) = (0.75, 0.50).
I have all the data structures of the trees implemented i only need a head start on this since i dont know what the right way to go on this.
thanks in advange.
BST.png
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