The Big-O notation is used to represent asymptotic upper bounds.
I'm trying to solve a recurrence relation to find out the complexity of an algorithm using the Master Theorem and …
algorithm complexity-theory big-o recurrence master-theoremWe are to solve the recurrence relation through repeating substitution: T(n)=T(n-1)+logn I started the substitution and …
recursion big-o complexity-theory recurrenceI would like to solve the following recurrence relation: T(n) = 2T(√n); I'm guessing that T(n) = O(log …
algorithm math big-o recurrence1)Are SQL query execution times O(n) compared to the number of joins, if indexes are not used? If not, …
sql performance big-oI had this question on an Algorithms test yesterday, and I can't figure out the answer. It is driving me …
algorithm big-oI'd like to know what the worst-case runtime complexity of a switch statement is, assuming you have n cases. I …
algorithm programming-languages switch-statement big-oWhat is the best/worst/average case complexity (in Big-O notation) of a trie data structure for insertion and search? …
data-structures runtime big-o trieI see how you can access your collection by key. However, the hash function itself has a lot of operations …
c# dictionary hashtable big-oI'm trying to understand a particular aspect of Big O analysis in the context of running programs on a PC. …
algorithm big-o analysis