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How does the video construct a recursion tree to analyze the recursive computation of f(7)f(7)?

The video constructs a recursion tree by setting the target computation f(7)f(7) as the root node. It then recursively applies the formula f(n)=f(n−1)+f(n−2)f(n) = f(n-1) + f(n-2) to split each non-base-case node into two child nodes. This top-down decomposition continues until all branches reach the base cases f(1)f(1) or f(2)f(2), visually mapping the entire sequence of function calls.

Conditions

  • The recurrence relation is f(n)=f(n−1)+f(n−2)f(n) = f(n-1) + f(n-2).
  • The base cases are f(1)=1f(1) = 1 and f(2)=1f(2) = 1.
  • The target computation is f(7)f(7).

Reasoning, step by step

  1. Set the target computation f(7)f(7) as the root node of the tree.
  2. Apply the recursive formula to split f(7)f(7) into two child nodes: f(6)f(6) and f(5)f(5).
  3. Continue splitting each non-base-case node into two children (e.g., f(6)f(6) splits into f(5)f(5) and f(4)f(4)).
  4. Repeat this process until all leaf nodes reach the base cases f(1)f(1) or f(2)f(2).
  5. Observe the resulting inverted binary tree to see the full sequence of recursive calls.

Example

The instructor draws a recursion tree with f(7)f(7) as the root node, branching downward to f(6)f(6) and f(5)f(5), then further decomposing f(6)f(6) into f(5)f(5) and f(4)f(4), and so on, forming an inverted binary tree.

Common misconceptions

  • Believing that the recursion tree only represents the top-down problem decomposition and ignores the bottom-up result aggregation.
  • Assuming that the tree stops expanding at a fixed depth rather than stopping when the base cases f(1)f(1) or f(2)f(2) are reached.

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Answers are generated from source material and independently checked. Consult the original video or creator if something is unclear.