介绍
一种遍历二叉树的方式,并且时间复杂度O(N),额外空间复杂度O(1)。通过利用原树中大量空闲指针的方式,达到节省空间的目的
Morris遍历细节
假设来到当前节点cur,开始时cur来到头节点位置
1)如果cur没有左孩子,cur向右移动(cur = cur.right)
2)如果cur有左孩子,找到左子树上最右的节点mostRight:
a.如果mostRight的右指针指向空,让其指向cur,然后cur向左移动(cur = cur.left)
b.如果mostRight的右指针指向cur,让其指向null,然后cur向右移动(cur = cur.right)
3)cur为空时遍历停止
Morris遍历实质
建立一种机制:
对于没有左子树的节点只到达一次,
对于有左子树的节点会到达两次 morris遍历时间复杂度依然是O(N
二叉树前中后序遍历
public static void morris(Node head) {
if (head == null) {
return;
}
Node cur = head;
Node mostRight = null;
while (cur != null) {
mostRight = cur.left;
if (mostRight != null) {
while (mostRight.right != null && mostRight.right != cur) {
mostRight = mostRight.right;
}
if (mostRight.right == null) {
mostRight.right = cur;
cur = cur.left;
continue;
} else {
mostRight.right = null;
}
}
cur = cur.right;
}
}
public static void morrisPre(Node head) {
if (head == null) {
return;
}
Node cur = head;
Node mostRight = null;
while (cur != null) {
mostRight = cur.left;
if (mostRight != null) {
while (mostRight.right != null && mostRight.right != cur) {
mostRight = mostRight.right;
}
if (mostRight.right == null) {
System.out.print(cur.value + " ");
mostRight.right = cur;
cur = cur.left;
continue;
} else {
mostRight.right = null;
}
} else {
System.out.print(cur.value + " ");
}
cur = cur.right;
}
System.out.println();
}
public static void morrisIn(Node head) {
if (head == null) {
return;
}
Node cur = head;
Node mostRight = null;
while (cur != null) {
mostRight = cur.left;
if (mostRight != null) {
while (mostRight.right != null && mostRight.right != cur) {
mostRight = mostRight.right;
}
if (mostRight.right == null) {
mostRight.right = cur;
cur = cur.left;
continue;
} else {
mostRight.right = null;
}
}
System.out.print(cur.value + " ");
cur = cur.right;
}
System.out.println();
}
public static void morrisPos(Node head) {
if (head == null) {
return;
}
Node cur = head;
Node mostRight = null;
while (cur != null) {
mostRight = cur.left;
if (mostRight != null) {
while (mostRight.right != null && mostRight.right != cur) {
mostRight = mostRight.right;
}
if (mostRight.right == null) {
mostRight.right = cur;
cur = cur.left;
continue;
} else {
mostRight.right = null;
printEdge(cur.left);
}
}
cur = cur.right;
}
printEdge(head);
System.out.println();
}
public static void printEdge(Node head) {
Node tail = reverseEdge(head);
Node cur = tail;
while (cur != null) {
System.out.print(cur.value + " ");
cur = cur.right;
}
reverseEdge(tail);
}
public static Node reverseEdge(Node from) {
Node pre = null;
Node next = null;
while (from != null) {
next = from.right;
from.right = pre;
pre = from;
from = next;
}
return pre;
}
二叉树最小深度问题
给定一棵二叉树的头节点head
求以head为头的树中,最小深度是多少?
// 根据morris遍历改写
public static int minHeight2(Node head) {
if (head == null) {
return 0;
}
Node cur = head;
Node mostRight = null;
int curLevel = 0;
int minHeight = Integer.MAX_VALUE;
while (cur != null) {
mostRight = cur.left;
if (mostRight != null) {
int rightBoardSize = 1;
while (mostRight.right != null && mostRight.right != cur) {
rightBoardSize++;
mostRight = mostRight.right;
}
if (mostRight.right == null) { // 第一次到达
curLevel++;
mostRight.right = cur;
cur = cur.left;
continue;
} else { // 第二次到达
if (mostRight.left == null) {
minHeight = Math.min(minHeight, curLevel);
}
curLevel -= rightBoardSize;
mostRight.right = null;
}
} else { // 只有一次到达
curLevel++;
}
cur = cur.right;
}
int finalRight = 1;
cur = head;
while (cur.right != null) {
finalRight++;
cur = cur.right;
}
if (cur.left == null && cur.right == null) {
minHeight = Math.min(minHeight, finalRight);
}
return minHeight;
}