20190108

Author: mJackie

code/lc207.java

@@ -0,0 +1,92 @@
+package code;
+
+import java.util.*;
+
+/*
+ * 207. Course Schedule
+ * 题意：课程是否能够完成
+ * 难度：Medium
+ * 分类：Depth-first Search, Breadth-first Search, Graph, Topology Sort
+ * 思路：两种方法，一种BFS拓扑排序，另一种DFS找是否有环
+ * Tips：很经典的题，拓扑排序，判断图是否有环的DFS
+ */
+public class lc207 {
+    public static void main(String[] args) {
+        int[][] prerequisites = {{1,0},{0,1}};
+        //System.out.println(canFinish(2, prerequisites));
+        System.out.println(canFinish2(2, prerequisites));
+    }
+    public static boolean canFinish(int numCourses, int[][] prerequisites) {
+        int[] indegree = new int[numCourses];
+        int[][] graph = new int[numCourses][numCourses];
+        for (int i = 0; i < prerequisites.length ; i++) {
+            int node1 = prerequisites[i][0];
+            int node2 = prerequisites[i][1];
+            graph[node2][node1] = 1;
+            indegree[node1]++;  //存下入度，入度为0时，表示该课程可以修
+        }
+        Stack<Integer> st = new Stack();
+        int count = 0;
+        for (int i = 0; i < numCourses ; i++) {
+            if(indegree[i]==0) {
+                st.add(i);
+                count++;
+            }
+        }
+        while(!st.isEmpty()){
+            int node = st.pop();
+            for (int i = 0; i < numCourses ; i++) {
+                if(graph[node][i]==1) {
+                    indegree[i]--;
+                    if(indegree[i]==0){
+                        st.add(i);
+                        count++;
+                    }
+                }
+            }
+        }
+        return count==numCourses;   //可以修的课程==课程数
+    }
+
+    public static boolean canFinish2(int numCourses, int[][] prerequisites) {
+        HashMap<Integer, LinkedList<Integer>> graph = new HashMap<>();
+        // 转换成连接表
+        for (int i = 0; i < prerequisites.length ; i++) {
+            int node1 = prerequisites[i][0];
+            int node2 = prerequisites[i][1];
+            if(graph.containsKey(node1)){
+                graph.get(node1).add(node2);
+            }else{
+                LinkedList l = new LinkedList<>();
+                l.add(node2);
+                graph.put(node1, l);
+            }
+        }
+
+        Set<Integer> visited = new HashSet();   //记录没有环的节点
+        for (int i = 0; i < numCourses ; i++) {
+            Set<Integer> onpath = new HashSet();    //路径上的节点,要声明在里边,换节课后就清空了
+            if(hascycle(i,graph,onpath,visited))//有环
+                return false;
+        }
+        return true;
+    }
+    public static boolean hascycle(int course, HashMap graph, Set<Integer> onpath, Set<Integer> visited){
+        if( visited.contains(course))   //如果该节点之前判断过了没有环
+            return false;
+        if( onpath.contains(course))
+            return true;
+        onpath.add(course); //没有回溯了，自顶向下的，不用remove
+        LinkedList<Integer> nodes = (LinkedList<Integer>)graph.get(course);
+        if(nodes==null)
+            return false;
+        for (int i = 0; i < nodes.size() ; i++) {
+            if(!hascycle(nodes.get(i), graph, onpath, visited))
+                visited.add(nodes.get(i));
+            else
+                return true;
+        }
+        onpath.remove((Integer)course);
+        return false;
+    }
+}

code/lc208.java

@@ -0,0 +1,61 @@
+package code;
+/*
+ * 208. Implement Trie (Prefix Tree)
+ * 题意：字典树
+ * 难度：Medium
+ * 分类：Design, Trie
+ * 思路：字典树是一个数据结构，这个数据结构里包含很多TrieNode，每个TireNode都用一个长度为26的TrieNode[]数组表示该字符的下一个字符对象
+ * Tips：
+ */
+public class lc208 {
+    class TrieNode {
+        public char val;
+        public boolean isWord;
+        public TrieNode[] children = new TrieNode[26];
+        public TrieNode() {}
+        TrieNode(char c){
+            TrieNode node = new TrieNode();
+            node.val = c;
+        }
+    }
+
+    public class Trie {
+        private TrieNode root;
+        public Trie() {
+            root = new TrieNode();
+            root.val = ' ';
+        }
+
+        public void insert(String word) {
+            TrieNode ws = root;
+            for(int i = 0; i < word.length(); i++){
+                char c = word.charAt(i);
+                if(ws.children[c - 'a'] == null){
+                    ws.children[c - 'a'] = new TrieNode(c);
+                }
+                ws = ws.children[c - 'a'];
+            }
+            ws.isWord = true;
+        }
+
+        public boolean search(String word) {
+            TrieNode ws = root;
+            for(int i = 0; i < word.length(); i++){
+                char c = word.charAt(i);
+                if(ws.children[c - 'a'] == null) return false;
+                ws = ws.children[c - 'a'];
+            }
+            return ws.isWord;
+        }
+
+        public boolean startsWith(String prefix) {
+            TrieNode ws = root;
+            for(int i = 0; i < prefix.length(); i++){
+                char c = prefix.charAt(i);
+                if(ws.children[c - 'a'] == null) return false;
+                ws = ws.children[c - 'a'];
+            }
+            return true;
+        }
+    }
+}

code/lc221.java

@@ -0,0 +1,36 @@
+package code;
+/*
+ * 221. Maximal Square
+ * 题意：0，1数组中最大正方形
+ * 难度：Medium
+ * 分类：Dynamic Programming
+ * 思路：三个正方形+上右下角位置，可以组成一个新的正方形
+ * Tips：和lc85作比较
+ */
+public class lc221 {
+    public static void main(String[] args) {
+        char[][] matrix = {{'1','0','1','0','0'},{'1','0','1','1','1'},{'1','1','1','1','1'},{'1','0','0','1','0'}};
+        System.out.println(maximalSquare(matrix));
+    }
+    public static int maximalSquare(char[][] matrix) {
+        if(matrix.length==0)
+            return 0;
+        int[][] dp = new int[matrix.length][matrix[0].length];
+        int max = 0;
+        for (int i = 0; i < matrix.length ; i++) {
+            for (int j = 0; j < matrix[0].length ; j++) {
+                if(i==0 || j==0) {
+                    dp[i][j] = matrix[i][j]-'0';
+                    max = Math.max(dp[i][j],max);
+                }
+                else{
+                    if(matrix[i][j]=='1') {
+                        dp[i][j] = Math.min(Math.min(dp[i - 1][j], dp[i][j - 1]), dp[i - 1][j - 1]) + 1;    //dp[i][j] 最大正方形边长
+                        max = Math.max(dp[i][j], max);
+                    }
+                }
+            }
+        }
+        return max*max;
+    }
+}