There are generally two phases in problem-solving using computers: the design phase and the implementation phase.
Design phase:
In this phase, the problem to be solved is carefully analyzed, and an algorithm or plan for solving the problem is developed. This typically involves breaking down the problem into smaller, more manageable sub-problems, and deciding on data structures and algorithms that will be used to solve the problem. The design should also take into account any constraints, such as time or memory limits, and should be reviewed to check for errors and to ensure that it is efficient and effective in solving the problem.Implementation phase:
In this phase, the algorithm or plan developed in the design phase is implemented using a programming language. This may involve writing code, testing and debugging the code, and making any necessary modifications to the code. The implementation should be tested against sample inputs to ensure that it produces the correct results, and it should be optimized to improve its performance. This phase also includes the deployment of the solution to the end user.
In summary, the design phase is focused on developing a plan for solving a problem, while the implementation phase is focused on turning that plan into a working program.In summary, the design phase is focused on developing a plan for solving a problem, while the implementation phase is focused on turning that plan into a working program.
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