Big-O algorithm analysis

The questions: alt text http://img12.imagesha开发者_Go百科ck.us/img12/2706/image2ot.jpg

What I've done: alt text http://img29.imageshack.us/img29/9192/image3sc.jpg

But I've got totally no idea the difference between 3.5 and 3.6.

If you're a bit more careful in your solution to 3.5, the difference will be a bit clearer. Your first line

T(n) <= n/4 (lg n)/4 + 3n/4 (3 lg n)/4 + n

isn't quite right. First of all, the inductive assumption is that there is a constant C such that

T(n) <= C n log n

so you probably should keep that C around. Second, you're skipping the step where you remove the floor function. What you really know is (ignoring the constant C for simplicity) is

T(n) <= floor(n/4) lg (floor(n/4)) + floor(3n/4) lg (floor(3n/4)) + n

So how do you take care of the floor? Well, floor(x) <= x; but what about lg(floor(x)) (which shows up twice)? The key here is that lg is an increasing function, so lg(floor(x)) <= lg(x) also. So

T(n) <= n/4 lg(n/4) + 3n/4 lg(3n/4) + n

Now clean it up with some properties of logarithms (you will need to use that hint about lg 3) and finish your inductive step.

OK, so knowing that, what's the difference with 3.6? Well, now you have the ceiling function instead of the floor function, so you can't just ignore it. But

ceiling(x) <= x + 1

so you can work similarly, with some extra + 1 factors lying around. Try to use their hints, and it should be fine.

The difference bettween 3.5 and 3.6 is the ceil and floor functions in T(n/4). Other than that they are identical. And as far as i can tell the difference does not matter to the calculations for O(T(n)) as you can see from the expected results.

I hope this helps.