Merge sort stack overflow

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Remember Me? Thread: stack overflow in merge sort of linkedlist. How can i solve it? After looking at the code for a few minutes I've realised that the problem is that your code for splitting the list up is not dividing the list evenly in two. All but two of the items go in the first list, and it is this huge unevenness that would eventually lead to stack overflow when there are enough items.

Merge sort stack overflow

Ask questions, find answers and collaborate at work with Stack Overflow for Teams. Explore Teams. Connect and share knowledge within a single location that is structured and easy to search. I'm using Linux merge sort sort -m to sort a large group of presorted files. I was assuming that merge sort would be considerably faster than a full sort on the unsorted data but that's not what I'm seeing. For example, if I do a full sort on files containing lines of unsorted data:. The merge sort wall time is actually slower than the full sort! Again, I was expecting the merge sort to be considerably faster since each input file in the data set is presorted and only the merge step remains to be done. There must be a something that I'm missing. Can someone please clarify what I'm doing wrong? Explore Teams Create a free Team.

Print the Fibonacci sequence. All rights reserved. Just for you to know, i posted this problem in 3 other forums and none of them had any idea what to do with it.

I am trying to write several different sorting algorithms in order to time the differences between them when reading a file of a half million integers. For testing purposes, I am only using a few hundred integers, but I am getting a stack overflow error. Also, for testing reasons, I have an output file being created during this run so that I can see if the code is working correctly. Originally, I had 3 nested for loops that I believed were causing the errors and horrible effeciencey , but I cleaned those up and I am still having the error. Can someone look this over and see if there is a glaring issue that I am overlooking.

Following is a typical recursive implementation of Merge Sort. Time complexity: O n log n Auxiliary Space complexity: O n. Iterative Merge Sort: The above function is recursive, so uses function call stack to store intermediate values of l and h. The function call stack stores other bookkeeping information together with parameters. Also, function calls involve overheads like storing activation record of the caller function and then resuming execution. Note: In iterative merge sort, we do bottom up approach ie, start from 2 element sized array we know that 1 element sized array is already sorted. To merge this unmerged list at final merge we need to force the mid to be at the start of unmerged list so that it is a candidate for merge. The above function can be easily converted to iterative version. Following is iterative Merge Sort. Time complexity of above iterative function is same as recursive, i.

Merge sort stack overflow

Learn Python practically and Get Certified. Merge Sort is one of the most popular sorting algorithms that is based on the principle of Divide and Conquer Algorithm. Here, a problem is divided into multiple sub-problems. Each sub-problem is solved individually. Finally, sub-problems are combined to form the final solution. Using the Divide and Conquer technique, we divide a problem into subproblems. When the solution to each subproblem is ready, we 'combine' the results from the subproblems to solve the main problem. Suppose we had to sort an array 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[p..

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If you take a quick look at my website link in signature , you might see why I knew enough to help. Where we can assume that 0 is the first value inside the array and 99 is the last value, this printed out a result. All times are GMT Suggest Changes. Release build default settings should at least do some optimisation. A binary tree is said to follow a heap data structure if it is a complete binary tree All nodes in the tree follow the property that they are greater than their children i. How to heapify root element when its subtrees are already max heaps. Sign Up — It's Free! String Methods. Interactive C Course. Print the Fibonacci sequence. Last Updated : 14 Mar, Suggest changes.

Merge sort is defined as a sorting algorithm that works by dividing an array into smaller subarrays, sorting each subarray, and then merging the sorted subarrays back together to form the final sorted array. In simple terms, we can say that the process of merge sort is to divide the array into two halves, sort each half, and then merge the sorted halves back together.

You should debug your code, find out where it is going wrong. A recursive function is tail recursive when a recursive call is the last thing executed by the function. You can suggest the changes for now and it will be under the article's discussion tab. This function works for both the base case and for a tree of any size. Next What is Recursion? Introduction to Universal Hashing in Data Structure. You will be notified via email once the article is available for improvement. Interactive Java Course. Last edited by iMalc; at PM. Maximize your earnings for your published articles in Dev Scripter ! To build a max-heap from any tree, we can thus start heapifying each sub-tree from the bottom up and end up with a max-heap after the function is applied to all the elements including the root element. Can someone look this over and see if there is a glaring issue that I am overlooking. In this line you set the following interger to be a random number, where do you get this number from? This is probably where your code is segmenting.