Skip to content

⚡️ Speed up method Fibonacci.fibonacci by 2,258%#2060

Closed
codeflash-ai[bot] wants to merge 1 commit intomainfrom
codeflash/optimize-Fibonacci.fibonacci-mnt4z1l0
Closed

⚡️ Speed up method Fibonacci.fibonacci by 2,258%#2060
codeflash-ai[bot] wants to merge 1 commit intomainfrom
codeflash/optimize-Fibonacci.fibonacci-mnt4z1l0

Conversation

@codeflash-ai
Copy link
Copy Markdown
Contributor

@codeflash-ai codeflash-ai bot commented Apr 10, 2026

📄 2,258% (22.58x) speedup for Fibonacci.fibonacci in code_to_optimize/java/src/main/java/com/example/Fibonacci.java

⏱️ Runtime : 3.33 milliseconds 141 microseconds (best of 89 runs)

📝 Explanation and details

The naive recursive implementation was replaced with an iterative fast-doubling algorithm that computes Fibonacci numbers in O(log n) time instead of O(2^n), reducing the function from 2.74 million calls (for n=30) to just 417 calls by eliminating exponential branching and redundant subproblem recomputation. The optimized version processes bits of n left-to-right using matrix identities F(2k) = F(k)·(2F(k+1) − F(k)) and F(2k+1) = F(k)² + F(k+1)², avoiding all recursion overhead and achieving a 23× runtime speedup (3.33 ms → 141 µs). Line profiler confirms the original spent 33% of time in recursive calls alone, now eliminated entirely with O(1) space instead of O(n) stack depth.

Correctness verification report:

Test Status
⚙️ Existing Unit Tests 🔘 None Found
🌀 Generated Regression Tests 🔘 None Found
⏪ Replay Tests 239 Passed
🔎 Concolic Coverage Tests 🔘 None Found
📊 Tests Coverage Coverage data not available
⏪ Click to see Replay Tests

To edit these changes git checkout codeflash/optimize-Fibonacci.fibonacci-mnt4z1l0 and push.

Codeflash Static Badge

The naive recursive implementation was replaced with an iterative fast-doubling algorithm that computes Fibonacci numbers in O(log n) time instead of O(2^n), reducing the function from 2.74 million calls (for n=30) to just 417 calls by eliminating exponential branching and redundant subproblem recomputation. The optimized version processes bits of n left-to-right using matrix identities F(2k) = F(k)·(2F(k+1) − F(k)) and F(2k+1) = F(k)² + F(k+1)², avoiding all recursion overhead and achieving a 23× runtime speedup (3.33 ms → 141 µs). Line profiler confirms the original spent 33% of time in recursive calls alone, now eliminated entirely with O(1) space instead of O(n) stack depth.
@codeflash-ai codeflash-ai bot requested a review from mashraf-222 April 10, 2026 16:44
@codeflash-ai codeflash-ai bot added ⚡️ codeflash Optimization PR opened by Codeflash AI 🎯 Quality: High Optimization Quality according to Codeflash labels Apr 10, 2026
@KRRT7
Copy link
Copy Markdown
Collaborator

KRRT7 commented Apr 10, 2026

Closing: opened by CI workflow that shouldn't create PRs.

@KRRT7 KRRT7 closed this Apr 10, 2026
@codeflash-ai codeflash-ai bot deleted the codeflash/optimize-Fibonacci.fibonacci-mnt4z1l0 branch April 10, 2026 20:13
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

Labels

⚡️ codeflash Optimization PR opened by Codeflash AI 🎯 Quality: High Optimization Quality according to Codeflash

Projects

None yet

Development

Successfully merging this pull request may close these issues.

1 participant