## What is meld in heap?

Meld. The basic goal of the meld (also called merge) operation is to take two heaps (by taking each heaps root nodes), Q1 and Q2, and merges them, returning a single heap node as a result. This heap node is the root node of a heap containing all elements from the two subtrees rooted at Q1 and Q2.

**What do you mean by Mergeable heaps?**

In computer science, a mergeable heap (also called a meldable heap) is an abstract data type, which is a heap supporting a merge operation.

**What do you mean by leftist heap?**

In computer science, a leftist tree or leftist heap is a priority queue implemented with a variant of a binary heap. Every node x has an s-value which is the distance to the nearest leaf in subtree rooted at x. In contrast to a binary heap, a leftist tree attempts to be very unbalanced.

### What are trees and heaps?

A Heap is a special Tree-based data structure in which the tree is a complete binary tree. Generally, Heaps can be of two types: Max-Heap: In a Max-Heap the key present at the root node must be greatest among the keys present at all of it’s children.

**Which is Meldable priority queue?**

The randomized meldable heap(also called as Meldable Priority Queue) supports a number of common operations. These are known as insertion, deletion, and a searching operation, findMin. The insertion and deletion operations are implemented in terms of an additional operation specific to the meldable heap, Meld(A1, A2).

**Why is the heap named leftist heap?**

Explanation: The heap is named as leftist heap because it tends to have deep left paths. Explanation: When two leftist heaps are merged, if the left subtree of the root has a null path length of 1 and the right subtree has a null path length of 2, leftist property is violated at the root.

## What is binomial tree?

A binomial tree is a representation of the intrinsic values an option may take at different time periods. The value of the option at any node depends on the probability that the price of the underlying asset will either decrease or increase at any given node.

**How many types of heap are there?**

two types

There are two types of the heap: Min Heap. Max heap.

**Is skew heap balanced?**

Only two conditions must be satisfied : The general heap order must be there (root is minimum and same is recursively true for subtrees), but balanced property (all levels must be full except the last) is not required. Main operation in Skew Heaps is Merge.

### How do you combine skew heaps?

When two skew heaps are to be merged, we can use a similar process as the merge of two leftist heaps:

- Compare roots of two heaps; let p be the heap with the smaller root, and q be the other heap.
- Let the root of r be the root of p (the smaller root), and let r’s right subtree be p’s left subtree.

**What is a randomized meldable heap?**

In computer science, a randomized meldable heap (also Meldable Heap or Randomized Meldable Priority Queue) is a priority queue based data structure in which the underlying structure is also a heap-ordered binary tree. However, there are no restrictions on the shape of the underlying binary tree.

**When was the meldable heap first proposed?**

The meldable heap appears to have first been proposed in 1998 by Gambin and Malinowski. While the randomized meldable heap is the simplest form of a meldable heap implementation, others do exist. These are:

## What is the use of mergeable heap?

In computer science, a mergeable heap (also called a meldable heap) is an abstract data type, which is a heap supporting a merge operation. A mergeable heap supports the usual heap operations: Make-Heap (), create an empty heap. Insert (H,x), insert an element x into the heap H.

**What is the purpose of Meld operation?**

The basic goal of the meld (also called merge) operation is to take two heaps (by taking each heaps root nodes), Q1 and Q2, and merges them, returning a single heap node as a result. This heap node is the root node of a heap containing all elements from the two subtrees rooted at Q1 and Q2.