Sorting algorithms are essential for understanding how data can be organized efficiently. The Sorting Algorithms Visualizer is a powerful tool that allows you to visualize and understand the inner workings of various sorting algorithms.
Here are some of the sorting algorithms you can explore:
- Bubble Sort
- Selection Sort
- Insertion Sort
- Merge Sort
- Quick Sort
- Heap Sort
Would you like to see how the Merge Sort algorithm works? Click here to explore more.
Merge Sort Explained
Merge Sort is a divide-and-conquer algorithm that divides the input array into two halves, calls itself for the two halves, and then merges the two sorted halves. The merge() function is used for merging two halves. The merge(arr, l, m, r) is a key process that assumes that arr[l..m] and arr[m+1..r] are sorted and merges the two sorted sub-arrays into one.
- Divide: Split the array into two halves
- Conquer: Recursively sort both halves
- Combine: Merge the two halves back together
To learn more about Merge Sort, visit our Sorting Algorithms Guide.