Lecture 107:- DnC Level-1

Based on the context you've provided, it appears that you might be referring to "Divide and Conquer" (D&C) algorithms in the context of Data Structures and Algorithms (DSA).

In computer science, the "Divide and Conquer" paradigm is a problem-solving technique where a problem is broken down into smaller subproblems that are easier to solve. These subproblems are then solved independently, and their solutions are combined to solve the original problem.

"D&C Level-1" could refer to a course or study material related to the basics of the Divide and Conquer approach in DSA. This would typically cover concepts like:

1. Divide Phase: Breaking down the problem into smaller subproblems.
2. Conquer Phase: Solving the subproblems recursively.
3. Combine Phase: Combining the solutions of the subproblems to solve the original problem.

Common algorithms that use the Divide and Conquer approach include:

• Merge Sort: A sorting algorithm that divides the array into smaller subarrays, sorts them, and then merges them back together.
• Quick Sort: A sorting algorithm that selects a 'pivot' element, partitions the array into smaller and greater elements, and recursively sorts the subarrays.
• Binary Search: A search algorithm that divides a sorted array into halves and eliminates half of the search space with each step.