• Explanation:
    • The Binary Indexed Tree (BIT), also known as a Fenwick Tree, is a data structure that efficiently supports dynamic cumulative frequency tables.
    • It allows you to compute prefix sums and update elements in O(log n) time. It is particularly useful for problems that require frequent range sum queries and updates.
  • Steps:

    • The tree is implemented using an array, where each node represents a cumulative sum of elements.
    • Update Operation: Updates an element in the array, and its impact propagates upward.
    • Query Operation: Computes the sum of elements from the start to a given index by summing the values of the relevant nodes.
  • Time Complexity:

    • Update: O(log n)
    • Query: O(log n)