What are the steps in divide and conquer strategy?
Table of Contents
What are the steps in divide and conquer strategy?
You should think of a divide-and-conquer algorithm as having three parts:
- Divide the problem into a number of subproblems that are smaller instances of the same problem.
- Conquer the subproblems by solving them recursively.
- Combine the solutions to the subproblems into the solution for the original problem.
Which one of the below is divide and conquer approach?
Divide and Conquer is a recursive problem-solving approach which break a problem into smaller subproblems, recursively solve the subproblems, and finally combines the solutions to the subproblems to solve the original problem. Phases of Divide and Conquer approach. Example 1: Binary Search.
Which is the best sorting algorithm?
Quicksort
Why is insertion sort better?
Insertion sort has a fast best-case running time and is a good sorting algorithm to use if the input list is already mostly sorted. For larger or more unordered lists, an algorithm with a faster worst and average-case running time, such as mergesort, would be a better choice.
Why is insertion sort better than bubble sort?
Bubble sort always takes one more pass over array to determine if it’s sorted. Bubble sort does n comparisons on every pass. Insertion sort does less than n comparisons: once the algorithm finds the position where to insert current element it stops making comparisons and takes next element.
Which one of the below is not divide and conquer approach?
Discussion Forum
| Que. | Which one of the below is not divide and conquer approach? |
|---|---|
| b. | Merge Sort |
| c. | Shell Sort |
| d. | Heap Sort |
| Answer:Merge Sort |
What is the best case for quick sort?
n*log(n)
What is the order of quick sort in the worst case?
Quicksort
| Animated visualization of the quicksort algorithm. The horizontal lines are pivot values. | |
|---|---|
| Class | Sorting algorithm |
| Worst-case performance | O(n2) |
| Best-case performance | O(n log n) (simple partition) or O(n) (three-way partition and equal keys) |
| Average performance | O(n log n) |
