Ishita Juneja Blogs

  Inversion count is surely one of the most asked interview topics!  Most of the time interviewers don’t resist themselves in regard to asking questions related to the inversion count.  The concept may seem  challenging, but once learned it can become quite interesting.  Count inversion in any given array indicates how far your array is from being sorted. If your array is already sorted, the inversion count would be 0. Though, if it is sorted in the r everse level order traversal, your inversion count will be maximum.  The spectrum of this concept is quite wide. One topic that will be commonly asked is; inversion count in a given array using merge sort.  Well, if you are on this subject and want to have a better detailing of it, we got you covered!  Here, in this blog, we are going to uncover all the essential information related to inversion count with merge sort.  Without any ado, let’s get started! About inversion in array Number of cou...

  Ask a coding wizard of how amazing and iconic the Data structure and algorithms concept is! Truly, DSA’s aspects are super interesting to learn and are extremely useful for every coder.  Almost everything around us in this world has the essence of some DSA concept.  For eg: The leaves of a particular tree follow the Fibonacci pattern whereas the tree itself is transformed into a concept called Binary tree.  Isn’t it amazing how the world runs on mathematics and codes?  To exemplify your excitement, we’re particularly going to pick out Binary tree as our main study and dive into its sub-aspect called r e verse level order traversal . Let us have a detailed look into the basics before we move to learn about the problem.   What is a binary tree? A binary tree has parent nodes and each of those parent nodes can have two children nodes that are left and right nodes. Similar to the real-life tree, there is a source called “root” which is where the binary tree ...

Do you need a fast, efficient way to keep track of an inversion count for an array of numbers?  The array's inversion count indicates users how near or how far away the array is from getting sorted. The inversion count is zero if the array is already sorted; nevertheless, it is highest if there is a reverse an array .  Leveraging the power of Merge Sort algorithms can be one great solution. Using the merge sort method, the left and right sides of the provided array are divided, and both portions are sorted using recursion.  Then, in order to create our final sorted array, we join the two sorted parts. This guide will give you complete information on how you can utilise merge sort to solve the inversion count problem.  Read till the end to become efficient in solving such problems. But first, let's get a detailed overview of what an inversion count is . What is Inversion Count? The quantity of element pairs in an array that are not in chronological order with regard ...

While looking for your favorite cereal in the grocery shop, having a sorted shelf is a must. However, how do you know that cereal is sorted alphabetically? You can observe the naming on the shelf!  But would that be possible if there are more than 10,000 types of cereals on that shelf? Not really!  Similarly while dealing with huge arrays, you need to check how far an array is from getting sorted completely.  The only way to know how long it will take to sort an array accurately is through the count inversions .  The count inversions may vary with different operations like an addition to an array, removal of elements, merging of arrays, and much more.  Even if you try to remove duplicates from a string or an array, the parameter for sorting the arrays get changed.  But what do the count inversions m ean and indicate? This article revolves around this concept in detail along with approaches to resolve this problem statement. We will also discuss the meth...