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Address Calculation Sort (Bucket Sort) uses a simple numerical calcu

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Address Calculation Sort (Bucket Sort) uses a simple
numerical calculation on the key of a record (like hashing)
to determine in which bucket the record belongs. This
calculation averages O(1). It then uses a simple insertion
sort to order the record correctly within the bucket.
(a) What is the complexity of Address Calculation Sort.
Please support your answer - a proof is not required.
(b) Will Address Calculation Sort exploit ordering in the
data (reverse order, in order, or both)? Why or why not.
(c) Supposing the data is clustered, non-uniform, in its
distribution. How does this affect the complexity of the
sort. Support your answer.
Solution
(a) What is the complexity of Address Calculation Sort.
Please support your answer - a proof is not required.
The computational complexity estimates involve the
number of buckets. although generally the Analysis of
running time of Bucket sort is:
(b) Will Address Calculation Sort exploit ordering in the
data (reverse order, in order, or both)? Why or why not.
The algorithm is a priority function in order, exactly Last
In, First Out. this works best when the elements of the data
set are distributed evenly across all cubes.

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Address Calculation Sort (Bucket Sort) uses a simple numerical calculation on the key of a record (like hashing) to determine in which bucket the record belongs. This calculation averages O(1). It then uses a simple insertion sort to order the record correctly within the bucket. (a) What is the complexity of Address Calculation Sort. Please support your answer - a proof is not required. (b) Will Address Calculation Sort exploit ordering in the data (reverse order, in order, or both)? Why or wh y not. (c) Supposing the data is clustered, non -uniform, in its distribution. How does this affect t ...
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