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⚡️ Speed up method Fibonacci.fibonacci by 2,036%#2022

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claude[bot] merged 1 commit intodocs/tracer/javafrom
codeflash/optimize-Fibonacci.fibonacci-mnqq81k5
Apr 9, 2026
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⚡️ Speed up method Fibonacci.fibonacci by 2,036%#2022
claude[bot] merged 1 commit intodocs/tracer/javafrom
codeflash/optimize-Fibonacci.fibonacci-mnqq81k5

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@codeflash-ai codeflash-ai bot commented Apr 9, 2026

📄 2,036% (20.36x) speedup for Fibonacci.fibonacci in code_to_optimize/java/src/main/java/com/example/Fibonacci.java

⏱️ Runtime : 3.81 milliseconds 179 microseconds (best of 79 runs)

📝 Explanation and details

The recursive implementation was replaced with an iterative fast-doubling algorithm that computes Fibonacci(n) in O(log n) time by processing the bits of n and applying matrix-exponentiation doubling formulas (F(2k) = F(k)(2F(k+1) - F(k)) and F(2k+1) = F(k+1)² + F(k)²), eliminating the exponential O(2^n) recursive call tree that dominated original runtime at 32.5% per the profiler. This cuts execution time from 3.81 ms to 179 µs (20× speedup) by avoiding redundant subproblem recomputation and deep call stacks. The optimization incurs no regressions in correctness, maintains identical exception behavior, and scales to larger n values that would timeout under naive recursion.

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-mnqq81k5 and push.

Codeflash Static Badge

The recursive implementation was replaced with an iterative fast-doubling algorithm that computes Fibonacci(n) in O(log n) time by processing the bits of n and applying matrix-exponentiation doubling formulas (F(2k) = F(k)*(2*F(k+1) - F(k)) and F(2k+1) = F(k+1)² + F(k)²), eliminating the exponential O(2^n) recursive call tree that dominated original runtime at 32.5% per the profiler. This cuts execution time from 3.81 ms to 179 µs (20× speedup) by avoiding redundant subproblem recomputation and deep call stacks. The optimization incurs no regressions in correctness, maintains identical exception behavior, and scales to larger n values that would timeout under naive recursion.
@codeflash-ai codeflash-ai bot requested a review from mashraf-222 April 9, 2026 00:16
@codeflash-ai codeflash-ai bot added ⚡️ codeflash Optimization PR opened by Codeflash AI 🎯 Quality: High Optimization Quality according to Codeflash labels Apr 9, 2026
@claude claude bot merged commit 5ce36ed into docs/tracer/java Apr 9, 2026
24 of 27 checks passed
@claude claude bot deleted the codeflash/optimize-Fibonacci.fibonacci-mnqq81k5 branch April 9, 2026 08:22
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