| 41. | ;Heuristics : Newell and Simon realized that the search tree would grow intractable combinatorial explosion of exponentially growing searches.
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| 42. | Simple exhaustive searches are rarely sufficient for most real world problems : the pruning the search tree " ).
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| 43. | Because random binary search trees are known to have logarithmic height with high probability, the same is true for treaps.
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| 44. | In other words, a backjump indicates that the visit of a region of the search tree had been a mistake.
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| 45. | As with other trie data structures, each node in a ternary search tree represents a prefix of the stored strings.
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| 46. | There are several techniques, which can greatly improve the performance of search trees in terms of both speed and memory.
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| 47. | The search trees used in the loops are optimised based on the assumption that shorter strings are much more common.
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| 48. | An internal node of the search tree represents an assignment of a variable that is consistent with the previous ones.
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| 49. | Searching for an item in a 2 3 tree is similar to searching for an item in a binary search tree.
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| 50. | 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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