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A problem is a situation that needs to be solved, while an algorithm is a step-by-step procedure for solving a problem. In problem-solving, the problem is the challenge to be addressed, while the algorithm is the specific method used to find a solution to the problem.
The activity selection problem involves selecting a maximum number of non-overlapping activities from a set of activities that have different start and end times. The greedy algorithm helps in solving this problem efficiently by selecting the activity with the earliest end time at each step, ensuring that the maximum number of activities can be scheduled without overlapping.
A problem is a task or situation that needs to be solved, while an algorithm is a step-by-step procedure for solving a problem. Understanding this distinction helps in choosing the right approach for problem-solving. By recognizing the difference, individuals can apply appropriate algorithms to efficiently and effectively solve problems.
The time complexity of the knapsack greedy algorithm for solving a problem with a large number of items is O(n log n), where n is the number of items.
An algorithm is a step-by-step procedure for solving a problem, while a program is a set of instructions written in a specific programming language to implement the algorithm on a computer. Algorithms provide the logic and structure for solving computational problems, while programs execute the algorithm to produce the desired output. In essence, algorithms define the problem-solving approach, while programs implement that approach to find solutions.