Merge sort stack overflow

A stack is a linear data structure in which the insertion of a new element and removal of an existing element takes place at the same end represented as the top of the stack. To implement the stack, it is required to maintain the pointer to the top of the stackwhich is the last element to be inserted because we can access the elements only on the top merge sort stack overflow the stack. This strategy states that the element that is inserted last will come out first.

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.

Merge sort stack overflow

What is Recursion? The process in which a function calls itself directly or indirectly is called recursion and the corresponding function is called a recursive function. Using a recursive algorithm, certain problems can be solved quite easily. A recursive function solves a particular problem by calling a copy of itself and solving smaller subproblems of the original problems. Many more recursive calls can be generated as and when required. It is essential to know that we should provide a certain case in order to terminate this recursion process. So we can say that every time the function calls itself with a simpler version of the original problem. Recursion is an amazing technique with the help of which we can reduce the length of our code and make it easier to read and write. It has certain advantages over the iteration technique which will be discussed later. A task that can be defined with its similar subtask, recursion is one of the best solutions for it. For example; The Factorial of a number. Let us consider a problem that a programmer has to determine the sum of first n natural numbers, there are several ways of doing that but the simplest approach is simply to add the numbers starting from 1 to n.

The fact that everybody else does it some other way only means that they are wrong".

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.

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.. If q is the half-way point between p and r, then we can split the subarray A[p..

Merge sort stack overflow

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.

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So let's first think about how you would heapify a tree with just three elements. Like Article. This code is contributed by pratham Interactive C Course. Each function call adds a new frame to the call stack, which can cause the stack to grow too large if the recursion is too deep. Thread: stack overflow in merge sort of linkedlist. Heap Sort has O nlog n time complexities for all the cases best case, average case, and worst case. Stack Vs Heap Data Structure. Enhance the article with your expertise. I got the number because the full file has that many entries in it. Release build default settings should at least do some optimisation. Consider starting a new topic instead. It initializes size of stack as 0. Well it sounds like your stack size just wont really support huge amounts of recursion. Merge sort is to reduce memory usage, not time.

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.

How to heapify root element when its subtrees are already max heaps. So for example, I entered your values that you supplied and did the following:. After the modifications I made for it to plug straight into my program, the exact code I used was this: Code:. Driver program to test above functions. You can post them onto pastebin. What is Recursion? Hire With Us. Improve this question. All other nodes after that are leaf-nodes and thus don't need to be heapified. Help us improve. You had an infinite loop when you reached the maximum SIZE before you reached the end of the file. Asked 4 years, 7 months ago.