Interpolation search estimates the target position from endpoint values, which can help on roughly uniform numeric data..
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 | using System; // Interpolation Search in C# // // PURPOSE // Interpolation search estimates the target position from endpoint values, which can help on // roughly uniform numeric data. // // METHOD // Estimate a position proportional to the target value between endpoint values. Compare // there and discard the impossible side. Handle equal endpoints separately. // // COMPLEXITY // Expected O(log log n) comparisons for suitable uniform distributions; O(n) worst case, // O(1) space. // // CONTRACT // Ascending nonnegative integers <= 10000; n <= 10000 so the interpolation product fits // signed 32-bit. 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 interpolation_search(ReadOnlySpan<int> a, int target) { checked { int n = a.Length; alg_require(((n >= 0) && (n <= 1000000))); alg_require((a.Length == n)); alg_require((n <= 10000)); for (int alg_i = 0; alg_i < a.Length; alg_i++) { int alg_value = a[alg_i]; alg_require(((alg_value >= 0) && (alg_value <= 10000))); } int low = 0; int high = (n - 1); int pos = 0; while (((low <= high) && (target >= a[low]) && (target <= a[high]))) { if ((a[low] == a[high])) { return low; } pos = (low + (((target - a[low]) * (high - low)) / (a[high] - a[low]))); if ((a[pos] == target)) { return pos; } if ((a[pos] < target)) { low = (pos + 1); } else { high = (pos - 1); } } return (-1); } } static void Main() { int[] a = new int[] {0, 10, 20, 30}; int target = 20; int result = interpolation_search(a, target); Console.WriteLine(result); } } |