public class GraphTest {
public static void main(String[] args) {
GraphNode n1 = new GraphNode(1);
GraphNode n2 = new GraphNode(2);
GraphNode n3 = new GraphNode(3);
GraphNode n4 = new GraphNode(4);
GraphNode n5 = new GraphNode(5);
n1.neighbors = new GraphNode[]{n2,n3,n5};
n2.neighbors = new GraphNode[]{n1,n4};
n3.neighbors = new GraphNode[]{n1,n4,n5};
n4.neighbors = new GraphNode[]{n2,n3,n5};
n5.neighbors = new GraphNode[]{n1,n3,n4};
breathFirstSearch(n1, 5);
}
public static void breathFirstSearch(GraphNode root, int x){
if(root.val == x)
System.out.println("find in root");
Queue queue = new Queue();
root.visited = true;
queue.enqueue(root);
while(queue.first != null){
GraphNode c = (GraphNode) queue.dequeue();
for(GraphNode n: c.neighbors){
if(!n.visited){
System.out.print(n + " ");
n.visited = true;
if(n.val == x)
System.out.println("Find "+n);
queue.enqueue(n);
}
}
}
}
}
输出:
value: 2 value: 3 value: 5 Find value: 5
value: 4
下面是不同排序算法的时间复杂度,你可以去wiki看一下这些算法的基本思想。
Algorithm Average Time Worst Time Space冒泡排序 n^2 n^2 1
选择排序 n^2 n^2 1
Counting Sort n+k n+k n+k
Insertion sort n^2 n^2
Quick sort n log(n) n^2
Merge sort n log(n) n log(n) depends
另外,这里有一些实现/演示:: Counting sort、Mergesort、 Quicksort、 InsertionSort。
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