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P1 (20 points)
Implement a binary search of an array iteratively using the methodpublic static <T extends Comparable> booleaninArrayIterativeSorted(T
anArray, T anEntry)
P2 (30 points)
Consider an array data of n numerical values in sorted order and a list of numerical target
values (target values are not necessarily sorted). Your goal is to compute the smallest range of
array indices that contains all of the target values. If a target value is smaller than data, the
range should start with -1. If a target value is larger than data[n – 1], the range should end with
For example, given the array [ 5 8 10 13 15 20 22 26] and the target values (8, 2, 9, 17), the
range is -1 to 5.
1. Devise an efficient algorithm that solves this problem and implement it in
public static <T extends Comparable>
Interval findInterval(T sortedData, List targetValues)
where Interval is a class that provides two public methods getLower() and getUpper() to return
the lower and upper values of an Interval object. Implement the Interval class. 2. If you have n data values in the array and m target values in the list, what is the Big Oh
performance of your algorithm?
P3 (20 points)
Write the java code for the method
pubic static <T extends Comparable> boolean isSorted(T[ ] a)
which returns true if the array a is in sorted in ascending order. The code must run in O(n) time.
P4 (30 points)
Consider a revised selection sort algorithm so that on each pass it finds both the largest and
smallest values in the unsorted portion of the array. The sort then moves each of these values
into its correct location by swapping array entries.
1. Implement the modified selection sort using the method
public static <T extends Comparable> void modifiedSelectionSort(T a, int n)
2. How many comparisons are necessary to sort n values?
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