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What is the Big O notation of the selection sort algorithm?
The Big O notation of the selection sort algorithm is O(n2), indicating that its time complexity is quadratic.
What is the time complexity of multiplication operations in terms of Big O notation?
The time complexity of multiplication operations is O(n2) in terms of Big O notation.
What is the difference between big o and omega notation in c plus plus?
The difference between Big O notation and Big Omega notation is that Big O is used to describe the worst case running time for an algorithm. But, Big Omega notation, on the other hand, is used to describe the best case running time for a given algorithm.
What is the Big O notation of Quicksort algorithm in terms of time complexity?
The Big O notation of Quicksort algorithm is O(n log n) in terms of time complexity.
What is the time complexity of Quicksort algorithm in terms of Big O notation?
The time complexity of Quicksort algorithm is O(n log n) in terms of Big O notation.
What are the advantages and disadvantages about finger joint?
No idea!! :O that's handy
What is the Big O notation of a while loop in terms of time complexity?
The Big O notation of a while loop in terms of time complexity is O(n), where n represents the number of iterations the loop performs.
What are the advantages and disadvantages of a finger joints?
The advantages of a Finger Joint is 'Go kill urself and die!'
What is asymtotic notations?
aka big O notation e.g. 2*x^2 = O(x^2)
What is the connection between Theta and Big-O notation?
Big O gives an upper bound whereas big theta gives both an upper bound and a lower bound.
What is the relationship between Big O notation and induction in algorithm analysis?
In algorithm analysis, Big O notation is used to describe the upper bound of an algorithm's time complexity. Induction is a mathematical proof technique used to show that a statement holds true for all natural numbers. In algorithm analysis, induction can be used to prove the time complexity of an algorithm by showing that the algorithm's running time follows a certain pattern. The relationship between Big O notation and induction lies in using induction to prove the time complexity described by Big O notation for an algorithm.
Explain big O and big omega notations.?
omega notation please see this website http://en.wikipedia.org/wiki/Merge_sort
