I am trying to be familiar with the complexity evaluation of algorithms. In general I think that is a good/elegant practice, but in the specific I need it to express time complexity of my C++ code.
I\'m working on the program just needed in the following to understand it better. What is the worst case runni开发者_如何学Gong time for Quicksort and what may cause this worse case performance? How
if f(x) = (An) x^n + (An-1) x^(n-1) +...+ (A1)x + (A0) how can you prove f(x) is big theta(x^n). I\'ve thought about it and one could do it by proving that f(x) big O(x^n) and x^n big O(f(x)). I\'ve
Please let me know the Big Oh of the above开发者_如何学编程.Think about how an algorithm executing these traversals would look like - what data structure would you use (stack, queue, something else?)
Let\'s say that I need to make a mapping from String to an integer. The integers are unique and form a continuous range starting from 0. That is:
I am confused about the time complexity of hash table many articles state that they are \"amortized O(1)\" not true or开发者_运维技巧der O(1) what does this mean in real applications. What is the aver
What is an example (in code) of a O(n!) function?It should take appropriat开发者_JAVA技巧e number of operations to run in reference to n; that is, I\'m asking about time complexity.There you go. This
for(int i=N; i>0; i=i/2) irrelevant statement; I am asked to find the complexity class and I am unsure of whether I am supposed to use Big开发者_JAVA技巧-Omega notation or Big-O? But I am assumin
Lets suppose I am trying to analyze an algorithm and all I can do is run it with different inputs. I can construct a set of points (x,y) as (sample size, run time).
So let\'s say we have a function such as 6wn^2 - 6wn + 6w, would the big-o notation be O(n^2) or开发者_C百科 O(wn^2)? The problem set question asks me to write this function in Big-O form in terms of
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