版权声明:本文为博主原创文章,遵循 CC 4.0 BY-SA 版权协议,转载请附上原文出处链接和本声明。
1. 重建二叉树
题目:
输入某二叉树的前序遍历和中序遍历的结果,请重建出该二叉树。假设输入的前序遍历和中序遍历的结果中都不包含重复的数字。例如输入前序遍历序列{1, 2, 4, 7, 3, 5, 6, 8}和中序遍历序列{4, 7, 2, 1,5, 3, 8, 6},则重建出二叉树并输出它的头结点。
代码:
package charpter3;
/**
* @author chengzhengda
* @version 1.0
* @date 2019-10-14 20:50
* @desc 重建二叉树
*/
public class test6 {
public static Node rebuildTree(int[] preOrder, int[] indiOrder) {
if (preOrder == null || indiOrder == null) {
return null;
}
return rebuildTreeCore(preOrder, 0, preOrder.length - 1, indiOrder, 0, indiOrder.length - 1);
}
public static Node rebuildTreeCore(int[] preOrder, int startPre, int endPre, int[] indiOrder, int startIndi, int endIndi) {
if (startPre > endPre || startIndi > endIndi) {
return null;
}
Node root = new Node(preOrder[startPre]);
for (int i = startIndi; i <= endIndi; i++) {
if (preOrder[startPre] == indiOrder[i]) {
root.left = rebuildTreeCore(preOrder, startPre + 1, startPre + (i - startIndi), indiOrder, startIndi, i - 1);
root.right = rebuildTreeCore(preOrder, (i - startIndi) + startPre + 1, endPre, indiOrder, i + 1, endIndi);
}
}
return root;
}
public static void main(String[] args) {
int pre[] = {4, 2, 1, 3, 6, 5, 7};
int indi[] = {1, 2, 3, 4, 5, 6, 7};
Node head = rebuildTree(pre, indi);
System.out.println(head.data);
}
}
2. 遍历二叉树的神级方法
package charpter3;
/**
* @author chengzhengda
* @version 1.0
* @date 2019-10-16 19:35
* @desc 二叉树遍历的神级morris算法,时间复杂度为O(N),空间复杂度为O(1)
*/
public class test7 {
/**
* 中序遍历
*
* @param head
*/
public static void morrisIn(Node head) {
if (head == null) {
return;
}
Node cur1 = head;
Node cur2 = null;
while (cur1 != null) {
cur2 = cur1.left;
if (cur2 != null) {
while (cur2.right != null && cur2.right != cur1) {
cur2 = cur2.right;
}
if (cur2.right == null) {
cur2.right = cur1;
cur1 = cur1.left;
continue;
} else {
cur2.right = null;
}
}
System.out.println(cur1.data);
cur1 = cur1.right;
}
}
/**
* 前序遍历
*
* @param head
*/
public static void morrisPre(Node head) {
if (head == null) {
return;
}
Node cur1 = head;
Node cur2 = null;
while (cur1 != null) {
cur2 = cur1.left;
if (cur2 != null) {
while (cur2.right != null && cur2.right != cur1) {
cur2 = cur2.right;
}
if (cur2.right == null) {
System.out.println(cur1.data);
cur2.right = cur1;
cur1 = cur1.left;
continue;
} else {
cur2.right = null;
}
} else {
System.out.println(cur1.data);
}
cur1 = cur1.right;
}
}
/**
* 后序遍历
*
* @param head
*/
public static void morrisPost(Node head) {
if (head == null) {
return;
}
Node cur1 = head;
Node cur2 = null;
while (cur1 != null) {
cur2 = cur1.left;
if (cur2 != null) {
while (cur2.right != null && cur2.right != cur1) {
cur2 = cur2.right;
}
if (cur2.right == null) {
cur2.right = cur1;
cur1 = cur1.left;
continue;
} else {
cur2.right = null;
printEdge(cur1.left);
}
}
cur1 = cur1.right;
}
printEdge(head);
}
public static void printEdge(Node head) {
Node tail = reverseEdge(head);
Node cur = tail;
while (cur != null) {
System.out.println(cur.data);
cur = cur.right;
}
reverseEdge(tail);
}
public static Node reverseEdge(Node head) {
Node pre = null;
Node next = null;
while (head != null) {
next = head.right;
head.right = pre;
pre = head;
head = next;
}
return pre;
}
public static void main(String[] args) {
Node node1 = new Node(4);
Node node2 = new Node(2);
Node node3 = new Node(6);
Node node4 = new Node(1);
Node node5 = new Node(3);
Node node6 = new Node(5);
Node node7 = new Node(7);
node1.left = node2;
node1.right = node3;
node2.left = node4;
node2.right = node5;
node3.left = node6;
node3.right = node7;
morrisPost(node1);
}
}
3. 未排序数组中累加和为给定值的最长子数组长度
package charpter3;
/**
* @author chengzhengda
* @version 1.0
* @date 2019-10-17 11:27
* @desc 未排序数组中累加和为给定值的最长子数组长度
*/
public class test8 {
public static int getMaxLength(int[] arr, int k) {
if (arr == null || arr.length == 0 || k <= 0) {
return 0;
}
int left = 0;
int right = 0;
int sum = arr[0];
int len = 0;
while (right < arr.length) {
if (sum == k) {
len = Math.max(len, right - left + 1);
sum -= arr[left++];
} else if (sum < k) {
right++;
if (right == arr.length) {
break;
}
sum += arr[right];
} else {
sum -= arr[left++];
}
}
return len;
}
public static void main(String[] args) {
int[] arr = {1, 7, 5, 4, 1, 8, 0, 4};
System.out.println(getMaxLength(arr, 13));
}
}
4. 在二叉树中找到累加和为指定值的最长路径长度
题目描述:
给定一棵二叉树的头结点head和一个32位整数sum,二叉树节点值类型为整型, 求累加和为sum的最长路径长度。路径是指从某个节点往下,每次最多选择一个孩子节点或者不选所形成的节点链。
代码:
package charpter3;
import java.util.HashMap;
import java.util.Map;
/**
* @author chengzhengda
* @version 1.0
* @date 2019-10-21 09:44
* @desc
*/
public class test9 {
public static int getMaxLength(Node head, int sum) {
HashMap<Integer, Integer> sumMap = new HashMap<>();
sumMap.put(0, 0);
return preOrder(head, sum, 0, 1, 0, sumMap);
}
public static int preOrder(Node head, int sum, int preSum, int level, int maxLength, HashMap<Integer, Integer> sumMap) {
if (head == null) {
return maxLength;
}
int curSum = preSum + head.data;
if (!sumMap.containsKey(curSum)) {
sumMap.put(curSum, level);
}
if (sumMap.containsKey(curSum - sum)) {
maxLength = Math.max(level - sumMap.get(curSum - sum), maxLength);
}
maxLength = preOrder(head.left, sum, curSum, level + 1, maxLength, sumMap);
maxLength = preOrder(head.right, sum, curSum, level + 1, maxLength, sumMap);
if (level == sumMap.get(curSum)) {
sumMap.remove(curSum);
}
return maxLength;
}
public static void main(String[] args) {
Node node1 = new Node(4);
Node node2 = new Node(2);
Node node3 = new Node(6);
Node node4 = new Node(1);
Node node5 = new Node(3);
Node node6 = new Node(5);
Node node7 = new Node(7);
node1.left = node2;
node1.right = node3;
node2.left = node4;
node2.right = node5;
node3.left = node6;
node3.right = node7;
System.out.println(getMaxLength(node1,7));
}
}
5. 二叉查找树
package charpter3;
/**
* @author chengzhengda
* @version 1.0
* @date 2019-10-22 10:31
* @desc 二叉查找树
*/
public class test10 {
public static boolean binarySearch(Node head, int k) {
while (head != null) {
if (k > head.data) {
head = head.right;
} else if (k < head.data) {
head = head.left;
} else {
return true;
}
}
return false;
}
public static void main(String[] args) {
Node node1 = new Node(4);
Node node2 = new Node(2);
Node node3 = new Node(6);
Node node4 = new Node(1);
Node node5 = new Node(3);
Node node6 = new Node(5);
Node node7 = new Node(7);
node1.left = node2;
node1.right = node3;
node2.left = node4;
node2.right = node5;
node3.left = node6;
node3.right = node7;
System.out.println(binarySearch(node1, 6));
}
}