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思路:二分查找
山峰有三种状态:需要注意数组边界
1.顶峰:arr[mid]>arr[mid+1]&&arr[mid]>arr[mid-1]
2.上坡:arr[mid]<arr[mid+1]
3.下坡:arr[mid] < arr[mid-1]
- class Solution {
- public int peakIndexInMountainArray(int[] arr) {
- int left = 0;
- int right = arr.length-1;
- while(left<=right){
- int mid = left + ((right - left)>>1);
- if(mid == 0 && mid == arr.length-1){
- return -1;
- }
- if(arr[mid]>arr[mid+1]&&arr[mid]>arr[mid-1]){
- return mid;
- }else if(arr[mid]<arr[mid+1]){
- left = mid + 1;
- }else if(arr[mid] < arr[mid-1]){
- right = mid - 1;
- }
- }
- return -1;
- }
- }


思路:抓住目标值nums[mid]一定是小于等于nums[high]

- class Solution {
- public int findMin(int[] nums) {
- int l = 0;
- int r = nums.length - 1;
- int mid = 0;
- while(l<r){
- mid = l + ((r-l)>>1);
- if(nums[mid]>=nums[r]){
- l = mid + 1;
- }else if(nums[mid]<nums[r]){
- r = mid;
- }
- }
- return nums[l];
- }
- }


思路:
本题含有重复的元素
[1,3,3]这种情况,就不能单纯的判断nums[mid]>=nums[high]就舍弃当前mid左区间
但是还是抓住nums[mid]一定是小于等于nums[high]关键,也就是一定在high左边
当nums[mid]==nums[high],high--缩小范围
- class Solution {
- public int findMin(int[] nums) {
- int l = 0;
- int r = nums.length - 1;
- int mid = 0;
- while(l<r){
- mid = l + ((r-l)>>1);
- if(nums[mid]>nums[r]){
- l = mid + 1;
- }else if(nums[mid]<nums[r]){
- r = mid;
- }else{
- r -= 1;
- }
- }
- return nums[l];
- }
- }


思路: 二分查找思路,递增数组
一般情况nums[mid]==mid说明缺失值在mid右侧
nums[mid]>mid,说明缺失值在mid左侧
- class Solution {
- public int missingNumber(int[] nums) {
- int low = 0;
- int high = nums.length - 1;
- while(low<=high){
- int mid = low + ((high - low)>>1);
- if(nums[mid]>mid){
- high = mid-1;
- }else if(nums[mid]==mid){
- low = mid+1;
- }
- }
- return low;
- }
- }

思路:二分思想,需要注意超过int范围的情况不能直接乘
- class Solution {
- public int mySqrt(int x) {
- if(x <= 1){
- return x;
- }
- int low = 0;
- int high = x;
- while(low<high){
- int mid = low + ((high - low)>>1);
- if(x/mid == mid){
- return mid;
- }else if(x/mid<mid){
- high = mid;
- }else{
- low = mid+1;
- }
- }
- return low-1;
- }
- }

二叉搜索树:左结点小于根结点,右结点大于根结点
二叉搜索树的中序遍历从小到大递增

思路:很简单,与根结点比较,小于往左大于往右,等于返回 。
二叉树递归方法参考二叉树经典算法题
按照递归三部曲写出递归函数,迭代也是可以的。
- class Solution {
- public TreeNode searchBST(TreeNode root, int val) {
- if(root == null){
- return null;
- }
- if(root.val > val){
- return searchBST(root.left,val);
- }
- if(root.val < val){
- return searchBST(root.right,val);
- }
- return root;
- }
- }

思路:利用搜索树中序遍历递增的特性,如果出现小于前一个值的情况就返回false
- class Solution {
- long pre = Long.MIN_VALUE;
- public boolean isValidBST(TreeNode root) {
- if(root == null){
- return true;
- }
- boolean left = isValidBST(root.left);
- if(root.val<=pre){
- return false;
- }
- pre = root.val;
- boolean right = isValidBST(root.right);
- return left&&right;
- }
- }
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