![]() ![]() ![]() p = r.Īfter that, the merge function comes into play and combines the sorted arrays into larger arrays until the whole array is merged. ![]() The MergeSort function repeatedly divides the array into two halves until we reach a stage where we try to perform MergeSort on a subarray of size 1 i.e. When the conquer step reaches the base step and we get two sorted subarrays A and A for array A, we combine the results by creating a sorted array A from two sorted subarrays A and A. If we haven't yet reached the base case, we again divide both these subarrays and try to sort them. In the conquer step, we try to sort both the subarrays A and A. If q is the half-way point between p and r, then we can split the subarray A into two arrays A and A. A subproblem would be to sort a sub-section of this array starting at index p and ending at index r, denoted as A. When the solution to each subproblem is ready, we 'combine' the results from the subproblems to solve the main problem. Using the Divide and Conquer technique, we divide a problem into subproblems. Finally, sub-problems are combined to form the final solution. Here, a problem is divided into multiple sub-problems. Merge Sort is one of the most popular sorting algorithms that is based on the principle of Divide and Conquer Algorithm. Decrease Key and Delete Node Operations on a Fibonacci Heap. ![]()
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