Is it possible to explain how dynamic programming uses the idea of optimality?

3. Any problem that can be solved with a greedy algorithm can also be solved with a dynamic programming algorithm, but will they produce the same result? Why or why not?

What is optimality with respect to search algorithms? Select one: a. If there is a distinction between the quality of goal states, the agent will find the best one. b. Provided that a solution exists, the algorithm will find it c. An estimate of how much information the algorithm needs to store for finding a solution d. An estimate of how many search steps it takes to find a solution.

Computer science

If an optimal solution to a problem can be obtained by greedy, It can also be obtained by dynamic programming.   True or False?

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Elucidate on duality in the context of game theory.

Calculate the optimal value of the decision parameter p in the Bresenham's circle drawing algorithm. The stepwise procedure for implementing Bresenham's algorithm for circle drawing is delineated.

Insufficient Overlapping Subproblems and the Principle of Optimality (Optimal Substructure) are both acceptable queries for dynamic programming. Consider All-Pairs Shortest Paths as an illustration of the difficulty in achieving these two requirements.

Both the Principle of Optimality (Optimal Substructure) and Insufficient Overlapping Subproblems are valid inputs for dynamic programming. To see how difficult it is to meet these two criteria, consider the case of All-Pairs Shortest Paths.