Google Interview Question for Android Engineers


Country: United States




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1
of 1 vote

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SOLUTION:
Assume it's looking for the minimum overall distance for everyone to get a different bike.

def shorstOverallDistance(people, bikes):#coordinations of N people and N bikes
    if not people:
        return 0
    size = len(people)
    shortest_distance = None
    for i in size:
        for j in size:
            distance = distanceBetween(people[i], bikes[j]) + shortestOverallDistance(people[:i] + people[i+1:], bikes[j] + bikes[j+1:])
            if not shortest_distance or shortest_distance > distance:
                shortest_distance = distance
    return distance  

def distanceBetween(p1, p2): #apply any custom distance function
    #...

- alisonlee659 February 03, 2018 | Flag Reply
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0
of 0 vote

It seems to be a NP-full problem such as Travelling, because we must visit every bike just one time and total path must be minimal.

We can design some greedy algorithm and select minimal path each time, but it will not be exact answer

- Elenaa February 20, 2018 | Flag Reply


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