diff --git a/src/main/java/com/thealgorithms/graph/FloydWarshall.java b/src/main/java/com/thealgorithms/graph/FloydWarshall.java
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+++ b/src/main/java/com/thealgorithms/graph/FloydWarshall.java
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+package com.thealgorithms.graph;
+
+import java.util.Arrays;
+
+/**
+ * This class implements the Floyd-Warshall algorithm for finding the shortest
+ * distances between all pairs of vertices in a weighted graph.
+ * It works for both positive and negative edge weights but no negative cycles.
+ * 
+ * Time Complexity: O(V^3), where V is the number of vertices.
+ * Space Complexity: O(V^2)
+ * 
+ * Example usage:
+ * <pre>
+ *     FloydWarshall.Graph graph = new FloydWarshall.Graph(4);
+ *     graph.addEdge(0, 1, 5);
+ *     graph.addEdge(0, 3, 10);
+ *     graph.addEdge(1, 2, 3);
+ *     graph.addEdge(2, 3, 1);
+ *     FloydWarshall fw = new FloydWarshall(graph);
+ *     int[][] distances = fw.solve();
+ * </pre>
+ * 
+ * Author: <a href="https://github.com/YourGitHubUsername">Your Name</a>
+ */
+public class FloydWarshall {
+
+    /** Graph representation using adjacency matrix */
+    public static class Graph {
+        private final int numVertices;
+        private final int[][] adjacencyMatrix;
+        private static final int INF = Integer.MAX_VALUE / 2; // avoid overflow
+
+        public Graph(int numVertices) {
+            this.numVertices = numVertices;
+            adjacencyMatrix = new int[numVertices][numVertices];
+            for (int i = 0; i < numVertices; i++) {
+                Arrays.fill(adjacencyMatrix[i], INF);
+                adjacencyMatrix[i][i] = 0;
+            }
+        }
+
+        /**
+         * Adds a directed edge from 'from' to 'to' with given weight.
+         *
+         * @param from   starting vertex
+         * @param to     ending vertex
+         * @param weight edge weight
+         */
+        public void addEdge(int from, int to, int weight) {
+            adjacencyMatrix[from][to] = weight;
+        }
+
+        public int getNumVertices() {
+            return numVertices;
+        }
+
+        public int[][] getAdjacencyMatrix() {
+            return adjacencyMatrix;
+        }
+    }
+
+    private final Graph graph;
+
+    public FloydWarshall(Graph graph) {
+        this.graph = graph;
+    }
+
+    /**
+     * Solves the Floyd-Warshall algorithm to compute shortest paths
+     * between all pairs of vertices.
+     *
+     * @return distance matrix where dist[i][j] is the shortest distance from i to j
+     */
+    public int[][] solve() {
+        int V = graph.getNumVertices();
+        int[][] dist = new int[V][V];
+
+        // Initialize distances with adjacency matrix
+        for (int i = 0; i < V; i++) {
+            dist[i] = Arrays.copyOf(graph.getAdjacencyMatrix()[i], V);
+        }
+
+        // Main Floyd-Warshall loop
+        for (int k = 0; k < V; k++) {
+            for (int i = 0; i < V; i++) {
+                for (int j = 0; j < V; j++) {
+                    if (dist[i][k] + dist[k][j] < dist[i][j]) {
+                        dist[i][j] = dist[i][k] + dist[k][j];
+                    }
+                }
+            }
+        }
+
+        return dist;
+    }
+
+    /** Simple main method for testing */
+    public static void main(String[] args) {
+        Graph graph = new Graph(4);
+        graph.addEdge(0, 1, 5);
+        graph.addEdge(0, 3, 10);
+        graph.addEdge(1, 2, 3);
+        graph.addEdge(2, 3, 1);
+
+        FloydWarshall fw = new FloydWarshall(graph);
+        int[][] distances = fw.solve();
+
+        System.out.println("All-pairs shortest distances:");
+        for (int[] row : distances) {
+            System.out.println(Arrays.toString(row));
+        }
+    }
+}