2. An interpolation search assumes that the data in an array is sorted and uniformly distributed. Whereas a binary search always looks at the middle item in an array, an interpolation search looks where the sought-for item is more likely to occur. For example, if you searched your telephone book for Victoria Appleseed, you probably would look near its beginning rather than its middle. And if you discovered many Appleseeds, you would look near the last Appleseed. Instead of looking at the element a[mid] of an array a, as the binary search would, an interpolation search examines a[index], where p = (desiredElement - a[first]) / (a[last] - a[first]) index = first + [(last – first) × p] Implement an interpolation search of an array. For particular arrays, compare the outcomes of an interpolation search and of a binary search. Consider arrays that have uniformly distributed entries and arrays that do not. Modify and save the file as SearchComparerYourlastname.java.
2. An interpolation search assumes that the data in an array is sorted and uniformly distributed.
Whereas a binary search always looks at the middle item in an array, an interpolation search
looks where the sought-for item is more likely to occur. For example, if you searched your
telephone book for Victoria Appleseed, you probably would look near its beginning rather
than its middle. And if you discovered many Appleseeds, you would look near the last
Appleseed. Instead of looking at the element a[mid] of an array a, as the binary search would,
an interpolation search examines a[index], where
p = (desiredElement - a[first]) / (a[last] - a[first])
index = first + [(last – first) × p]
Implement an interpolation search of an array. For particular arrays, compare the outcomes
of an interpolation search and of a binary search. Consider arrays that have uniformly
distributed entries and arrays that do not. Modify and save the file as
SearchComparerYourlastname.java.
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