|Divide & Conquer Method
|1.It deals (involves) three steps at each level of recursion:
Divide the problem into a number of subproblems.
Conquer the subproblems by solving them recursively.
Combine the solution to the subproblems into the solution for original subproblems.
|1.It involves the sequence of four steps:
- Characterize the structure of optimal solutions.
- Recursively defines the values of optimal solutions.
- Compute the value of optimal solutions in a Bottom-up minimum.
- Construct an Optimal Solution from computed information.
|2. It is Recursive.
||2. It is non Recursive.
|3. It does more work on subproblems and hence has more time consumption.
||3. It solves subproblems only once and then stores in the table.
|4. It is a top-down approach.
||4. It is a Bottom-up approach.
|5. In this subproblems are independent of each other.
||5. In this subproblems are interdependent.
|6. For example: Merge Sort & Binary Search etc.
||6. For example: Matrix Multiplication.