| 21. | These two representatives point to two balanced binary search trees, which one both searches for " k ".
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| 22. | Each of the two new balanced binary search trees contains at most log " M " + 1 elements.
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| 23. | Binary search trees are a fundamental data structure used to construct more abstract data structures such as multisets, and associative arrays.
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| 24. | Binary trees labelled this way are used to implement binary search trees and binary heaps, and are used for efficient sorting.
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| 25. | The B-tree is a generalization of a binary search tree in that a node can have more than two children.
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| 26. | The reduced node memory overhead compared to other self-balancing binary search trees can further improve locality of reference and caching.
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| 27. | An associative array can be thought of as a binary search tree with a user-specified key type and data type.
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| 28. | A Binary search tree is a special case of the binary tree where the data elements of each node are in order.
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| 29. | Contrast with a search tree, specifically a binary search tree, which also allows logarithmic-time search, but requires pointers.
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| 30. | These two representatives point to two balanced binary search trees, which one searches for the successor of " k ".
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