The total running time of counting from 1 to n in binary is log(n1) steps.
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The running time of the binary search algorithm is O(log n), where n is the number of elements in the sorted array being searched.
Counting in binary involves using only two digits, 0 and 1. To count in binary, you start with 0, then 1, and then continue by adding a digit each time you reach the highest value. For example, after 1 comes 10, then 11, and so on. Each digit's place represents a power of 2, with the rightmost digit being 20, the next being 21, and so on.
The time complexity of binary tree traversal is O(n), where n is the number of nodes in the tree.
The time complexity of inorder traversal in a binary tree is O(n), where n is the number of nodes in the tree.
The time complexity of searching a binary search tree is O(log n), where n is the number of nodes in the tree.