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Divide and Conquer:
Ø In divide and conquer approach, the problem is divided into smaller
sub-problems and then each problem is solved independently. When we keep on
dividing the sub-problems into even smaller sub-problems, we may eventually
reach a stage where no more division is possible.
Ø Those "atomic"
smallest possible sub-problems (fractions) are solved. The solution of all
sub-problems is finally merged in order to obtain the solution of an original
problem.
Ø
Broadly,
we can understand divide-and-conquer
approach in a three-step process.
Divide/Break
Ø This step involves breaking the problem into smaller sub-problems.
Sub-problems should represent a part of the original problem. This step
generally takes a recursive approach
to divide the problem until no sub-problem is further divisible. At this stage,
sub-problems become atomic in nature
but still represent some part of the actual problem.
Conquer/Solve
Ø This step receives a lot of smaller sub-problems to be solved. Generally,
at this level, the problems are considered 'solved' on their own.
Merge/Combine
Ø When the smaller sub-problems are solved, this stage recursively combines them until they
formulate a solution of the original problem. This algorithmic approach works
recursively and conquers & merge steps works so close that they appear as
one.
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