Exponential search locates a search interval by doubling its size, then uses binary search..
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 85 86 | using System; // Exponential Search in C# // // PURPOSE // Exponential search locates a search interval by doubling its size, then uses binary // search. // // METHOD // Check index zero. Double a bound until it passes the target or the input end, then binary- // search the bounded interval. // // COMPLEXITY // O(log(p+1)) comparisons for a match near index p; O(log n) worst case, O(1) space. // // CONTRACT // Ascending input; returns any matching index or -1. // 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# / .NET 10: ReadOnlySpan<int> inputs, Span<int> outputs, primitive workspace arrays, // Array.BinarySearch for LIS, and checked integer arithmetic. Invalid arguments and overflow // throw exceptions. // // EXAMPLE // Expected return: 2. // Run: Use Program.cs in a net10.0 console project; dotnet run. // Tests for this exact source artifact run before publication. The accompanying source // archive includes unit cases, runtime results, and source hashes. class Program { static void alg_require(bool valid) { if (!valid) throw new ArgumentException("invalid algorithm input"); } static int alg_size(int n) { alg_require(n>=0 && n<=4000000); return n; } static int exponential_search(ReadOnlySpan<int> a, int target) { checked { int n = a.Length; alg_require(((n >= 0) && (n <= 1000000))); alg_require((a.Length == n)); if ((n == 0)) { return (-1); } if ((a[0] == target)) { return 0; } int bound = 1; while (((bound < n) && (a[bound] < target))) { if ((bound > (n / 2))) { bound = n; } else { bound = (bound * 2); } } int low = (bound / 2); int high = Math.Min(bound, (n - 1)); int mid = 0; while ((low <= high)) { mid = (low + ((high - low) / 2)); if ((a[mid] == target)) { return mid; } if ((a[mid] < target)) { low = (mid + 1); } else { high = (mid - 1); } } return (-1); } } static void Main() { int[] a = new int[] {1, 3, 5, 7}; int target = 5; int result = exponential_search(a, target); Console.WriteLine(result); } } |