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A representation of an array structure is a mapping of the (abstract) array with elements of type T onto the store which is an array with elements of type BYTE. The array could be mapped in such a way that the computation of addresses of array elements is as simple as possible. The address i of the j-th array elements is computed by the linear mapping function
i = i0 + j*s
where i is the address of the first element, and s is the number of words that a element occupies. Assuming that the word is the smallest personally transferable unit of store, it is evidently highly needed that s be a whole number value, the simplest case being s = 1. If s is not a whole number, then s is generally rounded up to the next larger integer S. Each array component then accepts S words, whereby S-s words are left unused. Rounding up of the number of words required to the next whole number is called padding. The storage utilization factor u is the quotient of the minimal amounts of storage required to represent a structure and of the value actually used:
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This section prescribes additional exercise with the recursive and iterative handling of a binary search tree. Adding to the Binary Search Tree Recursively Add implementation
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what is the impoartance of average case analysis of algorithm
Post-order Traversal This can be done both iteratively and recursively. The iterative solution would need a change of the in-order traversal algorithm.
1. In computer science, a classic problem is how to dynamically store information so as to let for quick look up. This searching problem arises frequently in dictionaries, symbol t
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