- What is complexity and its types?
- How can we reduce time complexity?
- What is the time complexity of linked list?
- What is the time complexity of Kruskal algorithm?
- Which time complexity is best?
- What is Big O complexity?
- Is Big O the worst case?
- Which sorting algorithm is fastest?
- What is the order of time complexity?
- What is time complexity of an algorithm explain with example?
- How do you calculate time complexity of an algorithm?

## What is complexity and its types?

Three types of complexity could be considered when analyzing algorithm performance.

These are worst-case complexity, best-case complexity, and average-case complexity.

Only worst-case complexity has found to be useful..

## How can we reduce time complexity?

First of all make it clear that time taken by program depends upon the language you choose and the algorithm you apply. You can not change the time taken by the language compiler but you can certainly reduce the time complexity of your program.

## What is the time complexity of linked list?

In terms of time complexity searching in both of them takes O(n) if index of element is not known whereas if it’s known than it’s just O(1) for array list whereas O(n) for linked list. In case of element deletion the time complexity for an array list is O(n) whereas for linked list it’s just O(1).

## What is the time complexity of Kruskal algorithm?

Time Complexity: In Kruskal’s algorithm, most time consuming operation is sorting because the total complexity of the Disjoint-Set operations will be O ( E l o g V ) , which is the overall Time Complexity of the algorithm.

## Which time complexity is best?

Sorting algorithmsAlgorithmData structureTime complexity:BestSmooth sortArrayO(n)Bubble sortArrayO(n)Insertion sortArrayO(n)Selection sortArrayO(n2)4 more rows

## What is Big O complexity?

Big O notation is used in Computer Science to describe the performance or complexity of an algorithm. Big O specifically describes the worst-case scenario, and can be used to describe the execution time required or the space used (e.g. in memory or on disk) by an algorithm.

## Is Big O the worst case?

Although big o notation has nothing to do with the worst case analysis, we usually represent the worst case by big o notation. … So, In binary search, the best case is O(1), average and worst case is O(logn). In short, there is no kind of relationship of the type “big O is used for worst case, Theta for average case”.

## Which sorting algorithm is fastest?

QuicksortThe time complexity of Quicksort is O(n log n) in the best case, O(n log n) in the average case, and O(n^2) in the worst case. But because it has the best performance in the average case for most inputs, Quicksort is generally considered the “fastest” sorting algorithm.

## What is the order of time complexity?

What is a Time Complexity/Order of Growth? Time Complexity/Order of Growth defines the amount of time taken by any program with respect to the size of the input. Time Complexity specifies how the program would behave as the order of size of input is increased.

## What is time complexity of an algorithm explain with example?

An algorithm is said to be constant time (also written as O(1) time) if the value of T(n) is bounded by a value that does not depend on the size of the input. For example, accessing any single element in an array takes constant time as only one operation has to be performed to locate it.

## How do you calculate time complexity of an algorithm?

Big O notation When expressed this way, the time complexity is said to be described asymptotically, i.e., as the input size goes to infinity. For example, if the time required by an algorithm on all inputs of size n is at most 5n3 + 3n, the asymptotic time complexity is O(n3).