The binary search algorithm's improvement in time complexity lies in its logarithmic nature, allowing it to efficiently narrow down search spaces with each iteration.

The Binary search sort algorithm makes use of Binary Search and dynamically constructs a sorted array which is of O(N Log N) time complexity. The approach is not an in-place sorting technique but ...

Most binary search problems can also be solved with time complexity O (n) (for 1D arrays) or O (mn) (for 2D arrays or matrices). However, the expected time complexity should be better than linear time ...

The Time complexity of both BFS and DFS will be O (V + E), where V is the number of vertices, and E is the number of Edges. This again depends on the data strucure that we user to represent the graph.