Find the point where a monotonically increasing function becomes positive first time | GeeksforGeeks


Given a function ‘int f(unsigned int x)’ which takes a non-negative integer ‘x’ as input and returns aninteger as output. The function is monotonically increasing with respect to value of x, i.e., the value of f(x+1) is greater than f(x) for every input x. Find the value ‘n’ where f() becomes positive for the first time. Since f() is monotonically increasing, values of f(n+1), f(n+2),… must be positive and values of f(n-2), f(n-3), .. must be negative.
Find n in O(logn) time, you may assume that f(x) can be evaluated in O(1) time for any input x.


Can we apply Binary Search to find n in O(Logn) time? We can’t directly apply Binary Search as we don’t have an upper limit or high index. The idea is to do repeated doubling until we find a positive value, i.e., check values of f() for following values until f(i) becomes positive.

Let 'high' be the value of i when f() becomes positive for first time.
Can we apply Binary Search to find n after finding ‘high’? We can apply Binary Search now, we can use ‘high/2′ as low and ‘high’ as high indexes in binary search. The result n must lie between ‘high/2′ and ‘high’.
int findFirstPositive()
{
    // When first value itself is positive
    if (f(0) > 0)
        return 0;
    // Find 'high' for binary search by repeated doubling
    int i = 1;
    while (f(i) <= 0)
        i = i*2;
    //  Call binary search
    return binarySearch(i/2, i);
}
// Searches first positive value of f(i) where low <= i <= high
int binarySearch(int low, int high)
{
    if (high >= low)
    {
        int mid = low + (high - low)/2; /* mid = (low + high)/2 */
        // If f(mid) is greater than 0 and one of the following two
        // conditions is true:
        // a) mid is equal to low
        // b) f(mid-1) is negative
        if (f(mid) > 0 && (mid == low || f(mid-1) <= 0))
            return mid;
        // If f(mid) is smaller than or equal to 0
        if (f(mid) <= 0)
            return binarySearch((mid + 1), high);
        else // f(mid) > 0
            return binarySearch(low, (mid -1));
    }
    /* Return -1 if there is no positive value in given range */
    return -1;
}
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