Summary data structure

Divide and Conquer is a powerful algorithmic technique for
solving problems that can be broken down into smaller, more
manageable sub-problems. This strategy is often used in
computer science and mathematics to solve complex problems
efficiently.

At its core, the Divide and Conquer strategy involves three
steps:

1. Divide: The problem is divided into one or more smaller sub-
problems.
2. Conquer: The sub-problems are solved individually, usually by
using recursion.
3. Combine: The solutions to the sub-problems are combined to
form a solution to the original problem.
To illustrate how the Divide and Conquer strategy works, let's
look at an example: Merge Sort. Merge Sort is a sorting
algorithm that uses the Divide and Conquer approach to sort an
array of elements.

Here's how it works:

1. Divide: The array is divided into two halves. This is done by
finding the middle index of the array and splitting it into two
sub-arrays.



2. Conquer: The two sub-arrays are sorted recursively. This means
that the same steps (Divide, Conquer, Combine) are applied to
each sub-array until the sub-array has only one element. At this
point, the sub-array is already sorted.