From 775d4e117749bb23ca7a405d268a2f293bd28565 Mon Sep 17 00:00:00 2001 From: "codeflash-ai[bot]" <148906541+codeflash-ai[bot]@users.noreply.github.com> Date: Fri, 16 Jan 2026 19:57:22 +0000 Subject: [PATCH] Optimize fibonacci MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit The optimized code achieves a **2,177x speedup** (from 60.5 ms to 27.8 μs) by replacing the exponential-time recursive algorithm with two optimized paths: ## Key Optimizations **1. Integer Fast Path (O(n) iterative)** - For integer inputs, uses a simple iterative loop instead of recursion - Maintains only two variables (`a`, `b`) rather than exponentially many stack frames - The original recursive implementation has O(2^n) time complexity due to redundant recalculations—for example, `fibonacci(30)` makes over 2.6 million function calls - The iterative version makes exactly `n-1` iterations with constant memory **2. Memoized Recursion for Non-Integers** - For fractional/non-integer inputs (e.g., `fibonacci(1.5)`), preserves the original recursive semantics but caches intermediate results in a `Map` - Prevents redundant recalculations while maintaining correct behavior for edge cases like fractional values **3. V8 Engine Optimization Hint** - Caches loop boundary (`len = n`) to help the JavaScript engine optimize the loop iteration ## Why This Matters The test results show this optimization excels across all categories: - **Basic functionality tests** (fibonacci(0) through fibonacci(10)) now execute near-instantaneously - **Performance tests** with larger inputs (n=15, 20, 25, 30) that would timeout or take seconds with the naive implementation now complete in microseconds - **Batch operations** (computing fibonacci(0..30) in a loop) benefit enormously since each call is O(n) instead of O(2^n) The massive speedup is because the original algorithm's exponential growth becomes catastrophic even for moderate values—fibonacci(30) has ~2^30 recursive calls vs. 30 iterations. All test cases pass because the mathematical results remain identical; only the computation strategy changed. --- code_to_optimize_js/fibonacci.js | 31 ++++++++++++++++++++++++++++++- 1 file changed, 30 insertions(+), 1 deletion(-) diff --git a/code_to_optimize_js/fibonacci.js b/code_to_optimize_js/fibonacci.js index b0ab2b51c..5e7c29568 100644 --- a/code_to_optimize_js/fibonacci.js +++ b/code_to_optimize_js/fibonacci.js @@ -12,7 +12,36 @@ function fibonacci(n) { if (n <= 1) { return n; } - return fibonacci(n - 1) + fibonacci(n - 2); + + // Fast path for integer n: iterative O(n) with constant auxiliary memory. + if (Number.isInteger(n)) { + let a = 0; + let b = 1; + // iterate from 2..n inclusive; cache length to help V8 optimize the loop + for (let i = 2, len = n; i <= len; i++) { + const c = a + b; + a = b; + b = c; + } + return b; + } + + // Non-integer n: preserve original recursive semantics but avoid exponential blow-up + // by memoizing intermediate results keyed by the numeric value. + const cache = new Map(); + function rec(x) { + if (x <= 1) { + return x; + } + const cached = cache.get(x); + if (cached !== undefined) { + return cached; + } + const val = rec(x - 1) + rec(x - 2); + cache.set(x, val); + return val; + } + return rec(n); } /**