What would be the time complexity be of these lines of code?
Begin
sum = 0
For i = 1 to n do
For j = i to n do
sum = sum + 1
End
I want to say O(n) = 2n^2 + 1 but I'm unsure because of the i=j part.
Your answer is correct!
A nested loop instinctively leads you to the right answer which is O(n^2). In doing Big-O analysis, it usually doesn't matter being specific to the point i.e. saying the time complexity is O(2n^2) or O(3n^2 + 1) -- saying O(n^2) is enough since that is the dominating task of the function.
The i = j condition simply makes it so that there are...
n operations(n-1) operations1 operationSo, the sum of all operations you do is 1 + 2 + ... n = n(n+1)/2 which is O(n^2).
O()you get rid of all non-leading polynomial terms (+1) and multiplicative constants (2*), so you're talking aboutO(n^2).2n^2 + 1 = O(n)but notO(n) = 2n^2 + 1.