| 1. | Here, is a numerical parameter to be determined when implementing weight balanced trees.
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| 2. | Inserting the keys in random order often produces a well-balanced tree.
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| 3. | In practice, this technique often results in nicely balanced trees.
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| 4. | Both operations can be performed in self-balancing tree is used as the base data structure.
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| 5. | In a poorly balanced tree, this can be considerable.
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| 6. | If it is a well-balanced tree, you will search 0.5 * b * d items.
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| 7. | Variations include the orddict module, implementing ordered dictionaries, and gb _ trees, implementing general balanced trees.
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| 8. | This is commonly needed in the manipulation of the various self-balancing trees, AVL Trees in particular.
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| 9. | As with any balanced tree, the cost grows much more slowly than the number of elements.
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| 10. | This is commonly needed in the manipulation of the various self-balancing trees, AVL trees in particular.
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