Implicit data structure

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In computer science, an implicit data structure stores very little information other than the main or required data. These storage schemes retain no pointers, represent a file of n k-key records as an n by k array.[clarification needed] In implicit data structures, the only structural information is to allow the array[clarification needed] to grow and shrink. It is called "implicit" because the order of the elements carries meaning. Another term used interchangeably is space efficient. Definitions of “very little” are vague and can mean from O(1) to O(log n) extra space. Everything is accessed in-place, by reading bits at various positions in the data. To achieve memory-optimal coding, appropriate data items use bits instead of bytes. Implicit data structures are also succinct data structures.

Efficiency concerns[edit]

Implicit data structures are designed to improve main memory utilization, concomitantly reducing access to slower storage. A greater fraction of data in an implicit data structure can fit in main memory, reducing administrative processing. Implicit data structures can improve cache-efficiency and thus running speed, especially if the method used improves locality of reference.

Weighted element[edit]

For presentation of elements with different weights, several data structures are required. The structure[clarification needed] uses one more location besides those required for element values.[clarification needed] The first structure supports worst case search time in terms of rank of weight of elements with respect to set of weights.[clarification needed] If the elements are drawn from uniform distribution, then variation[clarification needed] of this structure will take average time.[clarification needed] The same result obtains[clarification needed] for the data structures in which the intervals between consecutive values[clarification needed] have access probabilities.[clarification needed]


Examples of implicit data structures include:

Further reading[edit]