Introduction to Decomposition

Decomposition is a problem-solving technique used in computer science to break down complex problems into smaller, more manageable parts.

It involves dividing a problem into subproblems that are easier to understand, solve, and implement independently.

Benefits of Decomposition

Reduced complexity

Decomposition allows us to tackle complex problems by breaking them down into simpler components.

Modularity

It promotes modular design, where each component performs a specific task, making it easier to understand and maintain.

Code reusability

Decomposed subproblems can be reused in different contexts, saving time and effort.

Efficient collaboration

Decomposition enables multiple programmers to work on different components simultaneously, enhancing productivity.

Decomposition Steps

1, Define the problem

Clearly understand and define the problem that needs to be solved.

2. Break down the problem

Analyze the problem and break it down into smaller, manageable subproblems

3. Repeat for the subproblems

If the subproblem is still complex, break it down in further subproblems.