I have an array
A[4]={4,5,9,1}
I need it would give the first 3 top elements like 9,5,4
I know how to find the max element but how to find the 2nd and 3rd max?
i.e if
max=A[0]
for(i=1;i<4;i++)
{
if (A[i]>max)
{
max=A[i];
location=i+1;
}
}
actually sorting will not be suitable for my application because,
the position number is also important for me i.e. I have to know in which positions the first 3 maximum is occurring, here it is in 0th,1th and 2nd position...so I am thinking of a logic
that after getting the max value if I could put 0 at that location and could apply the same steps for that new array i.e.{4,5,0,1}
But I am bit confused how to put my logic in code
Consider using the technique employed in the Python standard library. It uses an underlying heap data structure:
def nlargest(n, iterable):
"""Find the n largest elements in a dataset.
Equivalent to: sorted(iterable, reverse=True)[:n]
"""
if n < 0:
return []
it = iter(iterable)
result = list(islice(it, n))
if not result:
return result
heapify(result)
for elem in it:
heappushpop(result, elem)
result.sort(reverse=True)
return result
The steps are:
The heap approach is memory efficient (not requiring more memory than the target output) and typically has a very low number of comparisons (see this comparative analysis).
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