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Height of a binary heap

Updated: 12/17/2022
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log2(N+1)

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Q: Height of a binary heap
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How to determine an almost complete binary tree is a heap?

A binary heap is defined as follows: # It it an "almost" complete binary tree. That is, the bottom level of a heap of height h is partially filled from left to right, and may only have from 1 to 2h nodes. This may make some of the nodes at level h-1 into leaf nodes. So a binary heap of height h may have anywhere from 2h to 2h+1-1 nodes. # It satisfies the heap property. Each node has some ordered value associated with it, like a real number. The heap property asserts that a parent node must be greater than or equal to both of its children. A binary heap is easily represented using an array, let's call it A[1..length(A)]. The size of the heap will be called heap-size(A) (obviously heap-size(A)


Q1 Find the minimum and the maximum number of keys that a heap of height h can contain?

Q1. Find the minimum and the maximum number of keys that a heap of height h can contain.


What is a heap?

Answer:- A sorting algorithm that works by first organizing the data to be sorted into a special type of binary tree called a heap. The heap itself has, by definition, the largest value at the top of the tree, so the heap sort algorithm must also reverse the order. It does this with the following steps:1. Remove the topmost item (the largest) and replace it with the rightmost leaf. The topmost item is stored in an array.2. Re-establish the heap.3. Repeat steps 1 and 2 until there are no more items left in the heap.The sorted elements are now stored in an array.A heap sort is especially efficient for data that is already stored in a binary tree. In most cases, however, the quick sort algorithm is more efficient.GOURAV KHARE (CHANDIGARH)gouravsonu89@gmail.com


What are the properties of binary tree?

A binary tree of n elements has n-1 edgesA binary tree of height h has at least h and at most 2h - 1 elementsThe height of a binary tree with n elements is at most n and at least ?log2 (n+1)?


Difference between binary search tree and heap tree?

A binary search tree uses the definition: that for every node,the node to the left of it has a less value(key) and the node to the right of it has a greater value(key).Where as the heap,being an implementation of a binary tree uses the following definition:If A and B are nodes, where B is the child node of A,then the value(key) of A must be larger than or equal to the value(key) of B.That is,key(A) ≥ key(B).

Related questions

What is the difference between binary heap and binomial heap?

The difference between Binomial heap and binary heap is Binary heap is a single heap with max heap or min heap property and Binomial heap is a collection of binary heap structures(also called forest of trees).


Write a program of binary heap in c or c language?

to implement operations on binary heap in c


What is leftist-heap?

A leftist heap is a type of heap data structure that is a variant of a binary heap. It supports all the standard heap operations (insertion, deletion, and merging) with performance guarantees similar to binary heaps, but it maintains a leftist property that ensures that the left child has a shorter or equal path to the nearest null (empty) node than the right child. This property helps to improve the efficiency of merge operations in leftist heaps compared to binary heaps.


How to determine an almost complete binary tree is a heap?

A binary heap is defined as follows: # It it an "almost" complete binary tree. That is, the bottom level of a heap of height h is partially filled from left to right, and may only have from 1 to 2h nodes. This may make some of the nodes at level h-1 into leaf nodes. So a binary heap of height h may have anywhere from 2h to 2h+1-1 nodes. # It satisfies the heap property. Each node has some ordered value associated with it, like a real number. The heap property asserts that a parent node must be greater than or equal to both of its children. A binary heap is easily represented using an array, let's call it A[1..length(A)]. The size of the heap will be called heap-size(A) (obviously heap-size(A)


What is the height of an n-element heap?

log n


What is the definition of heap?

heap sort is sorting the elements afta piling them in a binary tree format called heap. it is solved by interchanging the root node with the right most element in the tree.


The height of Complete Binary tree is in terms of :option1. n2. logn3. n^2?

The height of a complete binary tree is in terms of log(n) where n is the number of nodes in the tree. The height of a complete binary tree is the maximum number of edges from the root to a leaf, and in a complete binary tree, the number of leaf nodes is equal to the number of internal nodes plus 1. Since the number of leaf nodes in a complete binary tree is equal to 2^h where h is the height of the tree, we can use log2 to find the height of a complete binary tree in terms of the number of nodes.


How to find height of subtree in a Binary tree?

Check this out! http://stackoverflow.com/questions/575772/the-best-way-to-calculate-the-height-in-a-binary-search-tree-balancing-an-avl


Q1 Find the minimum and the maximum number of keys that a heap of height h can contain?

Q1. Find the minimum and the maximum number of keys that a heap of height h can contain.


What is the height of binary search tree in worst case?

In the worst case a binary search tree is linear and has a height equal to the number of nodes. so h=O(h).


What is a heap?

Answer:- A sorting algorithm that works by first organizing the data to be sorted into a special type of binary tree called a heap. The heap itself has, by definition, the largest value at the top of the tree, so the heap sort algorithm must also reverse the order. It does this with the following steps:1. Remove the topmost item (the largest) and replace it with the rightmost leaf. The topmost item is stored in an array.2. Re-establish the heap.3. Repeat steps 1 and 2 until there are no more items left in the heap.The sorted elements are now stored in an array.A heap sort is especially efficient for data that is already stored in a binary tree. In most cases, however, the quick sort algorithm is more efficient.GOURAV KHARE (CHANDIGARH)gouravsonu89@gmail.com


What are the properties of binary tree?

A binary tree of n elements has n-1 edgesA binary tree of height h has at least h and at most 2h - 1 elementsThe height of a binary tree with n elements is at most n and at least ?log2 (n+1)?