0
When comparing the time complexity of an algorithm for n vs logn, the algorithm with a time complexity of logn will generally be more efficient and faster than the one with a time complexity of n. This is because logn grows at a slower rate than n as the input size increases.
What else can I help you with?
What is the time complexity of an algorithm that uses a binary search to find an element in a sorted array in logn time?
The time complexity of an algorithm that uses binary search to find an element in a sorted array in logn time is O(log n).
What is the time complexity of the algorithm represented by the recurrence relation t(n)4t(n/2)n2 logn?
The time complexity of the algorithm represented by the recurrence relation t(n) 4t(n/2) n2 logn is O(n2 log2 n).
What is the difference between the time complexity of algorithms with logarithmic complexity (logn) and those with square root complexity (n1/2)?
The time complexity of algorithms with logarithmic complexity (logn) grows slower than those with square root complexity (n1/2). This means that algorithms with logarithmic complexity are more efficient and faster as the input size increases compared to algorithms with square root complexity.
Is O(logn) better than O(n) in terms of efficiency?
Yes, O(logn) is more efficient than O(n) in terms of time complexity.
What is the derivative of nlogn?
The derivative of nlogn is equal to logn 1.
What is the time complexity of an algorithm that uses a binary search to find an element in a sorted array in logn time?
The time complexity of an algorithm that uses binary search to find an element in a sorted array in logn time is O(log n).
What is the time complexity of the algorithm represented by the recurrence relation t(n)4t(n/2)n2 logn?
The time complexity of the algorithm represented by the recurrence relation t(n) 4t(n/2) n2 logn is O(n2 log2 n).
What is the difference between the time complexity of algorithms with logarithmic complexity (logn) and those with square root complexity (n1/2)?
The time complexity of algorithms with logarithmic complexity (logn) grows slower than those with square root complexity (n1/2). This means that algorithms with logarithmic complexity are more efficient and faster as the input size increases compared to algorithms with square root complexity.
Is O(logn) better than O(n) in terms of efficiency?
Yes, O(logn) is more efficient than O(n) in terms of time complexity.
What is height of AVL tree?
o(logN)
How do you get on Webkinz logn?
you need to buy a pet with a little tag on it
What is the derivative of nlogn?
The derivative of nlogn is equal to logn 1.
Is it okay for a person to like someone two years older?
Most Certainly. As logn as they are not 18. :P
Where was the vikings territory?
The Vikings original homeland was in Scandanavia. However their logn-term conquests included large parts of Britain, France, Sicily, and Russia as well as settlements in Greenland and Iceland..
What is best and average case of binary search?
Merge sort is O(n log n) for both best case and average case scenarios.
IS AVL-Tree IS binary tree?
An AVL tree is another balanced binary search tree. Named after their inventors, Adelson-Velskii and Landis, they were the first dynamically balanced trees to be proposed. Like red-black trees, they are not perfectly balanced, but pairs of sub-trees differ in height by at most 1, maintaining an O(logn) search time. Addition and deletion operations also take O(logn) time.Definition of an AVL treeAn AVL tree is a binary search tree which has the following properties: The sub-trees of every node differ in height by at most one.Every sub-tree is an AVL tree.
What is NL?
A collection of languages that can be solved using a nondeterministic turing machine that runs in O(logn) space. For example PATH (the language of all graphs that have a path between vertix s and vertix t) is in NL.
