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Which of the following tasks can be efficiently solved using Dynamic Programming?
- a)Sorting an array
- b)Finding the median of an array
- c)Calculating the factorial of a number
- d)Finding the shortest path in a graph
Correct answer is option 'D'. Can you explain this answer?
Verified Answer
Which of the following tasks can be efficiently solved using Dynamic P...
Dynamic Programming is commonly used to solve optimization problems, such as finding the shortest path in a graph using algorithms like Dijkstra's or Bellman-Ford.
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Which of the following tasks can be efficiently solved using Dynamic P...
Dynamic Programming for Finding the Shortest Path in a Graph
Dynamic Programming is a technique used to solve problems by breaking them down into simpler subproblems. This approach is particularly effective for solving problems that exhibit overlapping subproblems and optimal substructure, such as finding the shortest path in a graph.
Key Points:
- In the context of finding the shortest path in a graph, Dynamic Programming can be applied to efficiently calculate the shortest path between two nodes by considering the optimal substructure of the problem.
- By storing the solutions to subproblems in a table or array, Dynamic Programming can avoid redundant calculations and improve the overall efficiency of finding the shortest path.
- The dynamic programming approach is commonly used in graph algorithms like Dijkstra's algorithm and Bellman-Ford algorithm to find the shortest path in weighted and unweighted graphs.
- Dynamic Programming can be used to solve a variety of graph-related problems efficiently, making it a powerful tool in algorithm design and optimization.
By leveraging the principles of Dynamic Programming, developers can implement efficient algorithms for finding the shortest path in a graph, enabling faster and more effective navigation in various applications such as routing, network optimization, and pathfinding.
Dynamic Programming is a technique used to solve problems by breaking them down into simpler subproblems. This approach is particularly effective for solving problems that exhibit overlapping subproblems and optimal substructure, such as finding the shortest path in a graph.
Key Points:
- In the context of finding the shortest path in a graph, Dynamic Programming can be applied to efficiently calculate the shortest path between two nodes by considering the optimal substructure of the problem.
- By storing the solutions to subproblems in a table or array, Dynamic Programming can avoid redundant calculations and improve the overall efficiency of finding the shortest path.
- The dynamic programming approach is commonly used in graph algorithms like Dijkstra's algorithm and Bellman-Ford algorithm to find the shortest path in weighted and unweighted graphs.
- Dynamic Programming can be used to solve a variety of graph-related problems efficiently, making it a powerful tool in algorithm design and optimization.
By leveraging the principles of Dynamic Programming, developers can implement efficient algorithms for finding the shortest path in a graph, enabling faster and more effective navigation in various applications such as routing, network optimization, and pathfinding.
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Which of the following tasks can be efficiently solved using Dynamic Programming?a)Sorting an arrayb)Finding the median of an arrayc)Calculating the factorial of a numberd)Finding the shortest path in a graphCorrect answer is option 'D'. Can you explain this answer?
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Which of the following tasks can be efficiently solved using Dynamic Programming?a)Sorting an arrayb)Finding the median of an arrayc)Calculating the factorial of a numberd)Finding the shortest path in a graphCorrect answer is option 'D'. Can you explain this answer? for Software Development 2025 is part of Software Development preparation. The Question and answers have been prepared according to the Software Development exam syllabus. Information about Which of the following tasks can be efficiently solved using Dynamic Programming?a)Sorting an arrayb)Finding the median of an arrayc)Calculating the factorial of a numberd)Finding the shortest path in a graphCorrect answer is option 'D'. Can you explain this answer? covers all topics & solutions for Software Development 2025 Exam. Find important definitions, questions, meanings, examples, exercises and tests below for Which of the following tasks can be efficiently solved using Dynamic Programming?a)Sorting an arrayb)Finding the median of an arrayc)Calculating the factorial of a numberd)Finding the shortest path in a graphCorrect answer is option 'D'. Can you explain this answer?.
Which of the following tasks can be efficiently solved using Dynamic Programming?a)Sorting an arrayb)Finding the median of an arrayc)Calculating the factorial of a numberd)Finding the shortest path in a graphCorrect answer is option 'D'. Can you explain this answer? for Software Development 2025 is part of Software Development preparation. The Question and answers have been prepared according to the Software Development exam syllabus. Information about Which of the following tasks can be efficiently solved using Dynamic Programming?a)Sorting an arrayb)Finding the median of an arrayc)Calculating the factorial of a numberd)Finding the shortest path in a graphCorrect answer is option 'D'. Can you explain this answer? covers all topics & solutions for Software Development 2025 Exam. Find important definitions, questions, meanings, examples, exercises and tests below for Which of the following tasks can be efficiently solved using Dynamic Programming?a)Sorting an arrayb)Finding the median of an arrayc)Calculating the factorial of a numberd)Finding the shortest path in a graphCorrect answer is option 'D'. Can you explain this answer?.
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