Floyd-Warshall computes distances between every pair by gradually allowing more intermediate vertices.
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 | // Floyd Warshall All Pairs Shortest Paths in Java // // PURPOSE // Floyd-Warshall computes distances between every pair by gradually allowing more // intermediate vertices. The ordering of the three loops expresses the dynamic programming // recurrence. // // METHOD // For each intermediate k, try improving every i-to-j path through k. Skip unreachable // halves before adding distances. After pass k, paths may use only intermediates up to k. // // COMPLEXITY // O(n cubed) time and O(1) auxiliary space beyond the caller-owned n squared distance // matrix. // // CONTRACT // Mutates flattened distance matrix. Diagonal starts at 0; missing edges use 1,000,000,000. // Negative edges allowed. Finite path sums must fit and remain strictly between -INF and // INF. Returns -1 if any negative cycle exists, otherwise 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 // Java 17+: primitive int arrays, Arrays.binarySearch for LIS, and Math exact arithmetic. // Invalid input throws IllegalArgumentException; arithmetic overflow throws // ArithmeticException. // // EXAMPLE // Expected return: 0. // Expected distance after call: [0, 4, 6, 1000000000, 0, 2, 1000000000, 1000000000, 0]. // Run: javac AlgorithmExample.java && java AlgorithmExample // Tests for this exact source artifact run before publication. The accompanying source // archive includes unit cases, runtime results, and source hashes. class AlgorithmExample { static void alg_require(boolean valid) { if (!valid) throw new IllegalArgumentException("invalid algorithm input"); } static int alg_size(int n) { alg_require(n>=0 && n<=4000000); return n; } static int floyd_warshall(int[] distance, int n) { java.util.Objects.requireNonNull(distance, "distance"); alg_require(((n >= 0) && (n <= 1000000))); alg_require((distance.length == Math.multiplyExact(n, n))); int k = 0; int i = 0; int j = 0; while ((k < n)) { i = 0; while ((i < n)) { j = 0; while ((j < n)) { if (((distance[Math.addExact(Math.multiplyExact(i, n), k)] != 1000000000) && (distance[Math.addExact(Math.multiplyExact(k, n), j)] != 1000000000))) { distance[Math.addExact(Math.multiplyExact(i, n), j)] = Math.min(distance[Math.addExact(Math.multiplyExact(i, n), j)], Math.addExact(distance[Math.addExact(Math.multiplyExact(i, n), k)], distance[Math.addExact(Math.multiplyExact(k, n), j)])); } j = Math.addExact(j, 1); } i = Math.addExact(i, 1); } k = Math.addExact(k, 1); } i = 0; while ((i < n)) { if ((distance[Math.addExact(Math.multiplyExact(i, n), i)] < 0)) { return Math.negateExact(1); } i = Math.addExact(i, 1); } return 0; } public static void main(String[] args) { int[] distance = new int[] {0, 4, 10, 1000000000, 0, 2, 1000000000, 1000000000, 0}; int n = 3; int result = floyd_warshall(distance, n); System.out.println(result); System.out.println(java.util.Arrays.toString(distance)); // Expected distance: [0, 4, 6, 1000000000, 0, 2, 1000000000, 1000000000, 0] } } |