An array is given such that its element's value increases from 0th index through some (k-1) index. At k the value is minimum, and than it starts increasing again through the nth element. Find the minimum element.
Essentially, its one sorted list appended to another; example: (1, 2, 3, 4, 0, 1, 2, 3).
I have tried all sorts of algorithm like buliding min-heap, quick select or just plain traversing. But cant get it below O(n). But there is a pattern in this array, something that suggest binary search kind of thing should be possible, and complexity should be something like O(log n), but cant find anything. Thoughts ??
Thanks
Given an array, find the least frequent element in it. If there are multiple elements that appear least number of times, print any one of them. Input : arr [] = {1, 3, 2, 1, 2, 2, 3, 1} Output : 3 3 appears minimum number of times in given array.
START Step 1 → Take an array A and define its values Step 2 → Declare smallest as integer Step 3 → Set smallest to 0 Step 4 → Loop for each value of A Step 5 → If A [n] < smallest, Assign A [n] to smallest Step 6 → After loop finishes, Display smallest as smallest element of array STOP.
The second way is to use a hash map to keep the count of the elements occurrence in the array and then return the number with least frequency. It is the most efficient method. Count the frequency of the numbers occurrence and store them in a object. Then iterate all the elements of the object and find the number with least frequency.
Finally, after the completion of the loops, the least frequent element in the array ( leastElement) is found to be 16 and its count was found to be 1. Following is the implementation of our Naive approach in Python:
No The drop can be anywhere, there is no structure to this.
Consider the extremes
1234567890
9012345678
1234056789
1357024689
It reduces to finding the minimum element.
Do a breadth-wise binary search for a decreasing range, with a one-element overlap at the binary splits. In other words, if you had, say, 17 elements, compare elements
0,8
8,16
0,4
4,8
8,12
12,16
0,2
2,4
etc., looking for a case where the left element is greater than the right.
Once you find such a range, recurse, doing the same binary search within that range. Repeat until you've found the decreasing adjacent pair.
The average complexity is not less than O(log n), with a worst-case of O(n). Can anyone get a tighter average-complexity estimate? It seems roughly "halfway between" O(log n) and O(n), but I don't see how to evaluate it. It also depends on any additional constraints on the ranges of values and size of increment from one member to the next.
If the increment between elements is always 1, there's an O(log n) solution.
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