diff --git a/Javascript/graph/floyd-warshall b/Javascript/graph/floyd-warshall
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+/**
+ * @param {Graph} graph
+ * @return {{distances: number[][], nextVertices: GraphVertex[][]}}
+ */
+export default function floydWarshall(graph) {
+  // Get all graph vertices.
+  const vertices = graph.getAllVertices();
+
+  // Init previous vertices matrix with nulls meaning that there are no
+  // previous vertices exist that will give us shortest path.
+  const nextVertices = Array(vertices.length).fill(null).map(() => {
+    return Array(vertices.length).fill(null);
+  });
+
+  // Init distances matrix with Infinities meaning there are no paths
+  // between vertices exist so far.
+  const distances = Array(vertices.length).fill(null).map(() => {
+    return Array(vertices.length).fill(Infinity);
+  });
+
+  // Init distance matrix with the distance we already now (from existing edges).
+  // And also init previous vertices from the edges.
+  vertices.forEach((startVertex, startIndex) => {
+    vertices.forEach((endVertex, endIndex) => {
+      if (startVertex === endVertex) {
+        // Distance to the vertex itself is 0.
+        distances[startIndex][endIndex] = 0;
+      } else {
+        // Find edge between the start and end vertices.
+        const edge = graph.findEdge(startVertex, endVertex);
+
+        if (edge) {
+          // There is an edge from vertex with startIndex to vertex with endIndex.
+          // Save distance and previous vertex.
+          distances[startIndex][endIndex] = edge.weight;
+          nextVertices[startIndex][endIndex] = startVertex;
+        } else {
+          distances[startIndex][endIndex] = Infinity;
+        }
+      }
+    });
+  });
+
+  // Now let's go to the core of the algorithm.
+  // Let's all pair of vertices (from start to end ones) and try to check if there
+  // is a shorter path exists between them via middle vertex. Middle vertex may also
+  // be one of the graph vertices. As you may see now we're going to have three
+  // loops over all graph vertices: for start, end and middle vertices.
+  vertices.forEach((middleVertex, middleIndex) => {
+    // Path starts from startVertex with startIndex.
+    vertices.forEach((startVertex, startIndex) => {
+      // Path ends to endVertex with endIndex.
+      vertices.forEach((endVertex, endIndex) => {
+        // Compare existing distance from startVertex to endVertex, with distance
+        // from startVertex to endVertex but via middleVertex.
+        // Save the shortest distance and previous vertex that allows
+        // us to have this shortest distance.
+        const distViaMiddle = distances[startIndex][middleIndex] + distances[middleIndex][endIndex];
+
+        if (distances[startIndex][endIndex] > distViaMiddle) {
+          // We've found a shortest pass via middle vertex.
+          distances[startIndex][endIndex] = distViaMiddle;
+          nextVertices[startIndex][endIndex] = middleVertex;
+        }
+      });
+    });
+  });
+
+  // Shortest distance from x to y: distance[x][y].
+  // Next vertex after x one in path from x to y: nextVertices[x][y].
+  return { distances, nextVertices };
+}