Mode of an array is the most frequent element, mode frequency is frequency of most frequent element.
For example, $$$[1,3,5,5]$$$ has mode $$$5$$$ and it's frequency is $$$2$$$ so mode frequency of this array is $$$2$$$.
For an array of length $$$N$$$ we need to find sum of mode frequency of all subarrays.
Is there any way to do this better than $$$O(N^2)$$$?
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A very similar problem was asked in Codechef Starters 136. A slight difference was that the string provided was binary, so there were only two elements you needed to keep a track of, but the overall process of implementation will be the same.
Not slight difference, binary is simple with prefix sums, I don't see any way to extend this to even ternary, let alone general array.
Since there are at most $$$\sqrt N$$$ different frequencies, so first we collect them, then for each frequency $$$f$$$ scan array with two pointers counting start of $$$f$$$-segment and end, but I can't immediately see is clean implementation of this because there are many cases where segments start and end.
What will we exactly check for each possible frequency
Number of pairs $$$(l,r)$$$ where it's the mode frequency
Then what will be the worst complexity?
The issue I see with this approach is array like
5 5 5 5has single frequency, but subarrays have 4 of them, if you find a way handle this (maybe scan for values with given freq instead of frequencies itself) it should be $$$O(n\sqrt n)$$$