Related Questions

In place merge sort has same time complexity as standard merge sort.
The worst case time complexity of insertion sort is O(n2). What will be the worst case time complexity of insertion sort if the correct position for inserting element is calculated using binary search?
What is the average case time complexity of standard merge sort?
Questions below followed by three quantities. Find the relationship between them. Quantity I: In a class with a certain number of students if a teacher weighing 78 kg is added, then average weight of class is increased by 2 kg. If one more teacher weighing 66 kg is added, then the average weight of the class increases by 3.5 kg over the original average. What is the original average weight (in kg) of the class? Quantity II: The average age of 16 students and their teacher's age is 16 years. If the teacher's age is excluded, the average reduces by 2. What is the teacher's age? Quantity III: Average weight of three friends A, B and C is 46 kg. Another person D joins the group and now the average is 45 kg. If another person E whose weight is 6 kg more than D, joins the group replacing A, then average weight of B, C, D and E becomes 47 kg. What is the weight of A (in kg)?
What is the average time complexity of bottom up merge sort?
Which of the following is the worst-case time complexity of the merge-sort algorithm?
What is the worst case time complexity of merge sort?
What will be the best case time complexity of merge sort?
Binary tree sort implemented using a self balancing binary search tree takes O(n log n) time in the worst case but still it is slower than merge sort.
Why is insertion sort preferred over other sorting algorithms (like selection sort, bubble sort etc.) for Tim sort implementation?