Analysis
This problem is essentially a problem of processing 2*n edges. Each edge has a x-axis value and a height value. The key part is how to use the height heap to process each edge.
Java Solution
class Edge { int x; int height; boolean isStart; public Edge(int x, int height, boolean isStart) { this.x = x; this.height = height; this.isStart = isStart; } } |
public List<int[]> getSkyline(int[][] buildings) { List<int[]> result = new ArrayList<int[]>(); if (buildings == null || buildings.length == 0 || buildings[0].length == 0) { return result; } List<Edge> edges = new ArrayList<Edge>(); // add all left/right edges for (int[] building : buildings) { Edge startEdge = new Edge(building[0], building[2], true); edges.add(startEdge); Edge endEdge = new Edge(building[1], building[2], false); edges.add(endEdge); } // sort edges Collections.sort(edges, new Comparator<Edge>() { public int compare(Edge a, Edge b) { if (a.x != b.x) return Integer.compare(a.x, b.x); if (a.isStart && b.isStart) { return Integer.compare(b.height, a.height); } if (!a.isStart && !b.isStart) { return Integer.compare(a.height, b.height); } return a.isStart ? -1 : 1; } }); // process edges PriorityQueue<Integer> heightHeap = new PriorityQueue<Integer>(10, Collections.reverseOrder()); for (Edge edge : edges) { if (edge.isStart) { if (heightHeap.isEmpty() || edge.height > heightHeap.peek()) { result.add(new int[] { edge.x, edge.height }); } heightHeap.add(edge.height); } else { heightHeap.remove(edge.height); if(heightHeap.isEmpty()){ result.add(new int[] {edge.x, 0}); }else if(edge.height > heightHeap.peek()){ result.add(new int[]{edge.x, heightHeap.peek()}); } } } return result; } |
time complexity is O(n^2) since heap remove operation take O(n) time. Please confirm