## What is K way merging explain with an example?

In computer science, k-way merge algorithms or multiway merges are a specific type of sequence merge algorithms that specialize in taking in k sorted lists and merging them into a single sorted list. These merge algorithms generally refer to merge algorithms that take in a number of sorted lists greater than two.

## How do you merge a sorted array in K?

Merge k sorted arrays | Set 1

- Example:
- Naive Approach: The very naive method is to create an output array of size n * k and then copy all the elements into the output array followed by sorting.
- Efficient Approach The process might begin with merging arrays into groups of two. After the first merge, we have k/2 arrays.

**How would you merge k sorted linked lists?**

Given K sorted linked lists of size N each, merge them and print the sorted output.

- Examples:
- Approach: A Simple Solution is to initialize the result as the first list. Now traverse all lists starting from the second list. Insert every node of the currently traversed list into result in a sorted way.

**What is 3 way merge?**

A three-way merge is where two changesets to one base file are merged as they are applied, as opposed to applying one, then merging the result with the other. For example, having two changes where a line is added in the same place could be interpreted as two additions, not a change of one line.

### How do you combine two binary heaps?

Just put the two arrays together and create a new heap out of them which takes O(n). For better merging performance, you could use another heap variant like a Fibonacci-Heap which can merge in O(1) amortized. when you reach the top, you created a new heap in O(n).

### How do I merge sorted lists?

Write a SortedMerge() function that takes two lists, each of which is sorted in increasing order, and merges the two together into one list which is in increasing order. SortedMerge() should return the new list. The new list should be made by splicing together the nodes of the first two lists.

**Which data structure can be used to optimally merge K singly linked lists?**

Using Min Heap We can easily solve this problem in O(n. log(k)) time by using a min-heap. The idea is to construct a min-heap of size k and insert each list’s first node into it.

**What is Git 2 way merge?**

Two-way merge: Two-way merge is a simple case where merging involves only two snapshot. Let’s clear it up with an example. Let’s say that you wish to merge your feature branch with master. Assume that the master branch has no more commits from the time you created a new branch.

## What is git merge — no FF?

The –no-ff flag prevents git merge from executing a “fast-forward” if it detects that your current HEAD is an ancestor of the commit you’re trying to merge. A fast-forward is when, instead of constructing a merge commit, git just moves your branch pointer to point at the incoming commit.

## How do I combine two leftist heaps?

Detailed Steps for Merge:

- Compare the roots of two heaps.
- Push the smaller key into an empty stack, and move to the right child of smaller key.
- Recursively compare two keys and go on pushing the smaller key onto the stack and move to its right child.
- Repeat until a null node is reached.

**How to create a minheap with k arrays in Java?**

The process must start with creating a MinHeap and inserting the first element of all the k arrays. Remove the root element of Minheap and put it in the output array and insert the next element from the array of removed element. To get the result the step must continue until there is no element in the MinHeap left.

**What is the best approach to merge k sorted arrays?**

Approach: This solution is based on the MIN HEAP approach used to solve the problem ‘merge k sorted arrays’ which is discussed here. MinHeap: A Min-Heap is a complete binary tree in which the value in each internal node is smaller than or equal to the values in the children of that node.

### How to map elements of a heap into an array?

Mapping the elements of a heap into an array is trivial: if a node is stored at index k, then its left child is stored at index 2k + 1 and its right child at index 2k + 2. Create a min Heap and insert the first element of all k arrays. Run a loop until the size of MinHeap is greater than zero.

### What is a heap sort?

Heap sort is a comparison based sorting technique based on Binary Heap data structure. It is similar to selection sort… They are super useful data structures when you need to maintain some kind of loose ordering and don’t want the overhead of sorting. And it’s precisely that property of being almost sorted that makes them so useful.