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algorithm Problem 2 (15 points) Consider the sequence A(n) defined as follows: A(n)= B(n-1) + A(n-2), A(O) = A(1) = 1 B(n)= A(n-1) + B(1-2),
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Problem 2 (15 points) Consider the sequence A(n) defined as follows: A(n)= B(n-1) + A(n-2), A(O) = A(1) = 1 B(n)= A(n-1) + B(1-2), B(O)= B(1) = 2 [5 points) Transform the above expressions into a recursive algorithm in JAVA, Python or C. Print the first 30 values of each sequence. What is the largest value n of A(n) that can be computed by your computer in 1 minute? Show a screenshot 15 BONUS points) Prove that the running time of your recursive procedure computing An) is exponential in n. Hint. Guess a lower bound and prove it by induction. [10 points] Use the Dynamic Programming approach to compute A(n) more efficiently. What are its running time and space requirements? Show the DAG of subproblems and prove the correctness of your algorithm Step by Step Solution
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