Fast doubling computes Fibonacci numbers using identities for doubling an index, reducing the number of recurrence steps logarithmically..
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 | #include <stdio.h> #include <vector> #include <algorithm> #include <stdexcept> #include <cstdint> #include <limits> // Fast Doubling Fibonacci in C++ // // PURPOSE // Fast doubling computes Fibonacci numbers using identities for doubling an index, reducing // the number of recurrence steps logarithmically. // // METHOD // Read n bits from most significant to least. Derive F(2k) and F(2k+1) from F(k),F(k+1), // then advance one extra position for a set bit. // // COMPLEXITY // O(log n) arithmetic operations, O(1) auxiliary space under bounded integer arithmetic. // // CONTRACT // 0 <= n <= 45 so all intermediates fit signed 32-bit. Returns F(n), with F(0)=0. // Public APIs infer array lengths except in C, which accepts pointer/length pairs. Vertex // counts and matrix dimensions remain explicit. Arrays must contain signed 32-bit integers. // Sorted order, correct tree topology, and caller-owned data-structure invariants are // preconditions; checking them on every query would change query complexity. // Scalar and shape checks are included. Value-range checks are included where needed to // prevent invalid indexing or nontermination. Allocation sizes are capped at 4,000,000 // workspace entries. Arithmetic outside Python raises an error on 32-bit overflow; Python // uses arbitrary precision. Native allocation failures propagate. In-place outputs may be // partly updated after arithmetic failure. These are single-threaded, in-memory // implementations. // // LANGUAGE DETAILS // C++17: const vector references for inputs, mutable references for outputs, RAII workspace, // standard lower_bound for LIS. Invalid inputs throw invalid_argument; overflow throws // overflow_error; allocation failure propagates bad_alloc. // // EXAMPLE // Expected return: 0. // Run: g++ -std=c++17 -O2 example.cpp -o example && ./example // Tests for this exact source artifact run before publication. The accompanying source // archive includes unit cases, runtime results, and source hashes. static int alg_min(int a, int b) { return a < b ? a : b; } static int alg_max(int a, int b) { return a > b ? a : b; } static void alg_require(bool valid) { if (!valid) throw std::invalid_argument("invalid algorithm input"); } static int alg_checked(int64_t v) { if (v < INT32_MIN || v > INT32_MAX) throw std::overflow_error("32-bit result overflow"); return (int)v; } static int alg_add(int a,int b) { return alg_checked((int64_t)a+b); } static int alg_sub(int a,int b) { return alg_checked((int64_t)a-b); } static int alg_mul(int a,int b) { return alg_checked((int64_t)a*b); } static size_t alg_size(int n) { alg_require(n>=0 && n<=4000000); return (size_t)n; } int fast_fibonacci(int n) { alg_require(((n >= 0) && (n <= 1000000))); alg_require(((n >= 0) && (n <= 45))); int a = 0; int b = 1; int c = 0; int d = 0; int bit = 1; while ((bit <= (n / 2))) { bit = alg_mul(bit, 2); } while ((bit > 0)) { c = alg_mul(a, alg_sub(alg_mul(2, b), a)); d = alg_add(alg_mul(a, a), alg_mul(b, b)); if ((((n / bit) % 2) == 0)) { a = c; b = d; } else { a = d; b = alg_add(c, d); } bit = (bit / 2); } return a; } int main(void) { int n = 0; int result = fast_fibonacci(n); printf("%d\n", result); return 0; } |