Minimum is h nodes
(Maximum is 2h+1 - 1 nodes, if tree consisting of only one node is considered to have height of 0. if you consider a tree with one node to be a height of one, then the minimum nodes is (2^(h-1)) 1 nodes.
Minimum number of nodes in a binary tree of height is 2h+1.
For example, if the height of the binary tree is 3, minimum number of nodes is
2*3+1=7.
O(h)
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)?
For the height `h' of a binary tree, for which no further attributes are given than the number `n' of nodes, holds:ceil( ld n)
For a full binary tree of height 3 there are 4 leaf nodes. E.g., 1 root, 2 children and 4 grandchildren.
In a binary tree with a maximum depth of ( H ), the number of leaf nodes can vary depending on the structure of the tree. However, if the tree is a complete binary tree, the maximum number of leaf nodes occurs at depth ( H ), which is ( 2^H ). For a full binary tree, the minimum number of leaf nodes at depth ( H ) is ( 1 ), occurring when all nodes except the last level are filled. Thus, the number of leaf nodes can range from ( 1 ) to ( 2^H ).
h+1
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.
4
The formula to calculate the height of a binary tree is h log2(n1) - 1, where h is the height of the tree and n is the number of nodes in the tree.
In the worst case a binary search tree is linear and has a height equal to the number of nodes. so h=O(h).
An almost complete binary tree is a tree in which each node that has a right child also has a left child. Having a left child does not require a node to have a right child. Stated alternately, an almost complete binary tree is a tree where for a right child, there is always a left child, but for a left child there may not be a right child.The number of nodes in a binary tree can be found using this formula: n = 2^h Where n is the amount of nodes in the tree, and h is the height of the tree.
O(h)
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)?
For the height `h' of a binary tree, for which no further attributes are given than the number `n' of nodes, holds:ceil( ld n)
The complexity of binary search tree : Search , Insertion and Deletion is O(h) . and the Height can be of O(n) ( if the tree is a skew tree). For Balanced Binary Trees , the Order is O(log n).
For a full binary tree of height 3 there are 4 leaf nodes. E.g., 1 root, 2 children and 4 grandchildren.
It is ((2^h) -1)/(2-1) generally for an m-tree is: ((m^h)-1)/(m-1)