Answer:
There is also an attachment below
Explanation:
Since we are talking about binary search, let's assume that the items are sorted according to some criteria.
Time complexity of binary search is O(logN) in worst case, best case and average case as well. That means it can search for an item in Log N time where N is size of the input. Here problem talks about the item not getting found. So, this is a worst case scenario. Even in this case, binary search runs in O(logN) time.
N = 700000000.
So, number of comparisions can be log(N) = 29.3 = 29.
So, in the worst case it does comparisions 29 times
Answer:
Set aside time every day for doing something that feels positive, whether that’s journaling, meeting up with a close friend, or watching a show that makes you laugh. Scheduling in moments that bring you joy is vital for healing a broken heart. It’s important to talk about your feelings with others and not numb yourself out.
Explanation:
Answer:
if(soldYesterday > soldToday){
salesTrend = -1;
} else if(soldToday > soldYesterday){
salesTrend = 1;
}
Explanation:
The if/else statement is more explicit. The first if condition check if soldYesterday is greater than soldToday, if true, then -1 is assigned to salesTrend.
Else if soldToday is greater than soldYesterday, if true, then 1 is assigned to salesTrend.