interpolation search造句

例句与造句

1. Some interpolation search implementations may not work as expected when a run of equal key values exists.
2. Still, interpolation search may be useful when one is forced to search certain sorted but unindexed on-disk datasets.
3. On the other hand, for a phone book sorted by name, the straightforward approach to interpolation search does not apply.
4. The simplest implementation of interpolation search won't necessarily select the first ( or last ) element of such a run.
5. Practical performance of interpolation search depends on whether the reduced number of probes is outweighed by the more complicated calculations needed for each probe.
6. It's difficult to find interpolation search in a sentence. 用interpolation search造句挺难的
7. However, Dynamic Interpolation Search is possible in " o " ( log log " n " ) time using a novel data structure.
8. In automatic systems this can be done using a binary search algorithm or interpolation search; manual searching may be performed using a roughly similar procedure, though this will often be done unconsciously.
9. In practice, interpolation search is slower than binary search for small arrays, as interpolation search requires extra computation, and the slower growth rate of its time complexity compensates for this only for large arrays.
10. In practice, interpolation search is slower than binary search for small arrays, as interpolation search requires extra computation, and the slower growth rate of its time complexity compensates for this only for large arrays.
11. On average the interpolation search makes about log ( log ( " n " ) ) comparisons ( if the elements are uniformly distributed ), where " n " is the number of elements to be searched.
12. It would thereby search an array of a million elements with no more than twenty comparisons ( involving accesses to slow memory where the array elements are stored ); to beat that, the interpolation search, as written above, would be allowed no more than three iterations.
13. Other significant results on the design and analysis of data structures were contributed on the problems of " interpolation search ", " negative cycle " and " nearest common ancestor " ", " the latter being referenced as " " Tsakalidis'Algorithm " " in the optimal results of prof.