Prim grows a minimum spanning tree by choosing the cheapest edge that connects an unvisited vertex to the current tree.
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 87 88 89 90 91 92 93 94 95 96 97 98 99 100 | // Prim Minimum Spanning Tree in Java // // PURPOSE // Prim grows a minimum spanning tree by choosing the cheapest edge that connects an // unvisited vertex to the current tree. The cut property justifies each greedy choice. // // METHOD // Keep the cheapest connection cost for every unvisited vertex. Select the cheapest one, add // its cost, and update neighbors. If no finite connection remains before all vertices are // added, the graph is disconnected. // // COMPLEXITY // O(n squared) time and O(n) auxiliary space for a dense adjacency matrix. // // CONTRACT // n >= 1; symmetric flattened matrix for an undirected graph. -1 means absent, weights are // nonnegative and < 1,000,000,000. Total must fit. Returns MST weight or -1 if disconnected. // 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: 6. // 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 prim_mst(int[] graph, int n) { java.util.Objects.requireNonNull(graph, "graph"); alg_require(((n >= 0) && (n <= 1000000))); alg_require((graph.length == Math.multiplyExact(n, n))); alg_require((n >= 1)); for (int alg_i = 0; alg_i < graph.length; alg_i++) { int alg_value = graph[alg_i]; alg_require(((alg_value >= Math.negateExact(1)) && (alg_value < 1000000000))); } int[] cost = new int[alg_size(n)]; int[] used = new int[alg_size(n)]; int i = 0; int v = 0; int u = 0; int best = 0; int total = 0; while ((i < n)) { cost[i] = 1000000000; i = Math.addExact(i, 1); } cost[0] = 0; i = 0; while ((i < n)) { u = Math.negateExact(1); best = 1000000000; v = 0; while ((v < n)) { if (((used[v] == 0) && (cost[v] < best))) { best = cost[v]; u = v; } v = Math.addExact(v, 1); } if ((u == Math.negateExact(1))) { return Math.negateExact(1); } used[u] = 1; total = Math.addExact(total, cost[u]); v = 0; while ((v < n)) { if ((graph[Math.addExact(Math.multiplyExact(u, n), v)] >= 0)) { cost[v] = Math.min(cost[v], graph[Math.addExact(Math.multiplyExact(u, n), v)]); } v = Math.addExact(v, 1); } i = Math.addExact(i, 1); } return total; } public static void main(String[] args) { int[] graph = new int[] {0, 4, 10, 4, 0, 2, 10, 2, 0}; int n = 3; int result = prim_mst(graph, n); System.out.println(result); } } |