Min and Max Problem

This Python program uses the numpy library to perform operations on a 2D array. The user inputs the dimensions of the array, followed by the elements of the array. The program then finds the minimum value in each row of the array and subsequently finds the maximum of these minimum values.

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Here is the Min and Max Problem HackerRank solution using CodeRankGPT:

The solution works by first taking the dimensions of the array as input and then the elements of the array. It then converts the list of lists into a numpy array for efficient computation. The numpy.min function is used with axis=1 to find the minimum value in each row of the array. The numpy.max function is then used on the result to find the maximum of these minimum values. This approach leverages the power of numpy's efficient array operations.


import numpy

n, m = map(int, input().split())
ar = []
for _ in range(n):
    tmp = list(map(int, input().split()))
    ar.append(tmp)
np_ar = numpy.array(ar)
print(numpy.max(numpy.min(np_ar, axis=1)))

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