How does dynamic programming make an inefficient recursive algorithm more effici

Question

How does dynamic programming make an inefficient recursive algorithm more efficient?

A: By keeping track of previously computed recursive calls, and using the stored values when possible instead of initiating redundant recursive calls

B: By using arrays, which are inherently more efficient than recursion.

C: By dynamically changing the order in which multiple recursive calls are performed, thereby eliminating redundant recursive calls.

D:

By replacing the recursion with iteration, which is inherently more efficient.

By replacing the recursion with iteration, which is inherently more efficient.

Explanation / Answer

Answer: A: By keeping track of previously computed recursive calls, and using the stored values when possible instead of initiating redundant recursive calls

Explanation :

All dynamic Programming questions follow two basic properties

1) Overlapping Subproblems
2) Optimal Substructure

1) Overlapping Subproblems:
Like Divide and Conquer, Dynamic Programming combines solutions to sub-problems. Dynamic Programming is mainly used when solutions of same subproblems are needed again and again. In dynamic programming, computed solutions to subproblems are stored in a table so that these don

Related Questions

Navigate

• Browse (All)
• Browse H
• Subjects

Integrity-first tutoring: explanations and feedback only — we do not complete graded work. Learn more.