LeetCode69.x的平方根
只要小于等于就可以满足条件了。
class Solution {
public int mySqrt(int x) {
int left = 0, right = x;
int ans = -1;
while (left <= right) {
int mid = (right - left) / 2 + left;
if ((long) mid * mid <= x) {
ans = mid;
left = mid + 1;
} else {
right = mid - 1;
}
}
return ans;
}
}
LeetCode34: 在排序数组中查找元素的第一个和最后一个位置
二分查找获取元素的左边界
左边界是可能不存在的。
当target==nums[mid],继续在左边寻找更合适的mid
寻找大于等于target的元素。如果有等于的元素,是可以返回的。如果有大于的元素,返回的结果是mid+1。
class Solution_LC34 {
public int[] searchRange(int[] nums, int target) {
int start = lowerBounds(nums, target);
if (start == nums.length || nums[start] != target) {
return new int[]{-1, -1};
}
int end = lowerBounds(nums, target + 1) - 1;
return new int[]{start, end};
}
private int lowerBounds(int[] nums, int target) {
int left = 0, right = nums.length - 1;
while (left <= right) {
int mid = (right - left) / 2 + left;
if (nums[mid] < target) {
left = mid + 1;
} else {
right = mid - 1;
}
}
return left;
}
}
LeetCode74.搜索二维矩阵
找到最后一个不大于target的元素。比如
[1,10,23]
,target是3,获取到的元素为1。等于直接获取low,进行二分的时候获取
(high-low+1)/2
。存在low=1,high=2,low一直为1的情况。
class Solution {
public boolean searchMatrix(int[][] matrix, int target) {
int rowIndex = binarySearchFirstCol(matrix, target);
if (rowIndex < 0 || rowIndex >= matrix.length) {
return false;
}
return binarySearchRow(matrix[rowIndex], target);
}
private int binarySearchFirstCol(int[][] matrix, int target) {
int low = -1, high = matrix.length - 1;
while (low < high) {
int mid = low + (high -low+1 ) / 2;
if (matrix[mid][0] > target) {
high = mid - 1;
} else {
low = mid;
}
}
return low;
}
private boolean binarySearchRow(int[] nums, int target) {
int left = 0, right = nums.length - 1;
while (left <= right) {
int mid = (right - left) / 2 + left;
if (nums[mid] > target) {
right = mid - 1;
} else if (nums[mid] < target) {
left = mid + 1;
} else {
return true;
}
}
return false;
}
}
LeetCode240.搜索二维矩阵II
class Solution {
public boolean searchMatrix(int[][] matrix, int target) {
for (int[] nums : matrix) {
if (binarySearch(nums, target)) {
return true;
}
}
return false;
}
private boolean binarySearch(int[] nums, int target) {
int left = 0, right = nums.length - 1;
while (left <= right) {
int mid = (right - left) / 2 + left;
if (nums[mid] > target) {
right = mid - 1;
} else if (nums[mid] < target) {
left = mid + 1;
} else {
return true;
}
}
return false;
}
}
数组从左下角向右上方向移动,向上是变小,向右是变大。
class Solution {
public boolean searchMatrix(int[][] matrix, int target) {
int i = matrix.length - 1, j = 0;
while (i >= 0 && j < matrix[0].length) {
if (matrix[i][j] > target) {
i--;
} else if (matrix[i][j] < target) {
j++;
} else {
return true;
}
}
return false;
}
寻找中间元素,判断是否找到;mid元素不是目标元素,判断mid元素是否在左升区间,如果在,判断目标元素是否在[left,mid],缩小范围。
class Solution {
public int search(int[] nums, int target) {
int left = 0, right = nums.length - 1;
while (left <= right) {
int mid = (right - left) / 2 + left;
if (nums[mid] == target) {
return mid;
}
// left到mid之间是有序的。
if (nums[mid] >= nums[left]) {
if (target >= nums[left] && target < nums[mid]) {
right = mid - 1;
} else {
left = mid + 1;
}
} else {
if (target > nums[mid] && target <= nums[right]) {
left = mid + 1;
} else {
right = mid - 1;
}
}
}
return -1;
}
}
LeetCode153.搜索旋转数组的最小值
二分查找我原本以为很简单,但是里面的细节真的很多。
while (left <= right)
的终止条件是left>right,进行left = mid + 1;
后nums[left]的性质就改变了。
nums[mid] == nums[left]
,到底是修改left
还是right
,数组中存在两个元素,循环第一次获取到的nums[mid] == nums[left]
,所以要比较第二遍。
class Solution {
public int findMin(int[] nums) {
int left = 0, right = nums.length - 1;
int ans = Integer.MAX_VALUE;
while (left <= right) {
int mid = (right - left) / 2 + left;
if (nums[mid] >= nums[left]) {
ans = Math.min(ans, nums[left]);
left = mid + 1;
} else {
ans = Math.min(ans, nums[mid]);
right = mid - 1;
}
}
return ans;
}
}
nums[mid]
,都意味着mid在右边升序段中。所以最小值在[left,mid]之间。
nums[mid] < nums[right]
小于是符合条件的,所以right = mid;
大于等于是不符合条件的,所以要mid + 1
测试用例:数组
[2,1]
,发现2>1, left边界更新,当跳出循环,low变成相对大的元素。数组升序 left–x 升序 x–right 升序
比较nums[left]还是nums[right],因为nums[right]相对nums[mid]较大。在升序队列[1,2,3,4,5]中,nums[left]是最小的。比nums[left]大,无法判定最小值在[left,mid]还是[mid,right]之间。
class Solution {
public int findMin(int[] nums) {
int left = 0, right = nums.length - 1;
while (left < right) {
int mid = (right - left) / 2 + left;
//
if (nums[mid] < nums[right]) {
right = mid;
} else {
left = mid + 1;
}
}
return nums[left];
}
}
154. 寻找旋转排序数组中的最小值 II
如果小于最右边元素,说明在最小值在[left,mid]
如果大于最右边元素,说明最小值在[mid,right]
如果等于最右边的元素,无法判断,换下一个元素。
class Solution {
public int findMin(int[] nums) {
int left = 0, right = nums.length - 1;
while (left < right) {
int mid = (right - left) / 2 + left;
if (nums[mid] < nums[right]) {
right = mid;
} else if (nums[mid] > nums[right]) {
left = mid + 1;
} else {
right = right - 1;
}
}
return nums[left];
}
}
LeetCode162.寻找峰值
判断如果
nums[mid] > nums[mid + 1]
,那么峰值在[left,mid]之间。如果
nums[mid] < nums[mid + 1]
,峰值在[mid+1,right]之间
class Solution {
public int findPeakElement(int[] nums) {
int left = 0, right = nums.length - 1;
while (left < right) {
int mid = (right - left) / 2 + left;
if (nums[mid] > nums[mid + 1]) {
right = mid;
} else if (nums[mid] < nums[mid + 1]) {
left = mid + 1;
}
}
return left;
}
}
LeetCode4. 寻找两个正序数组的中位数
class Solution {
public double findMedianSortedArrays(int[] nums1, int[] nums2) {
int length1 = nums1.length;
int length2 = nums2.length;
int total = length1 + length2;
if (total % 2 == 0) {
return (getKth(nums1, nums2, total / 2 + 1) + getKth(nums1, nums2, total / 2)) / 2;
} else {
return getKth(nums1, nums2, total / 2 + 1);
}
}
private double getKth(int[] nums1, int[] nums2, int k) {
int length1 = nums1.length;
int length2 = nums2.length;
int index1 = 0;
int index2 = 0;
while (true) {
// 边界情况
if (index1 == length1) {
return nums2[index2 + k - 1];
}
if (index2 == length2) {
return nums1[index1 + k - 1];
}
if (k == 1) {
return Math.min(nums1[index1], nums2[index2]);
}
int i1 = Math.min(nums1.length, k / 2 + index1) - 1;
int i2 = Math.min(nums2.length, k / 2 + index2) - 1;
int num1 = nums1[i1];
int num2 = nums2[i2];
if (num1 > num2) {
k -= (i2 - index2 + 1);
index2 = i2 + 1;
} else {
k -= (i1 - index1 + 1);
index1 = i1 + 1;
}
}
}
}
LeetCode287. 寻找重复数
原地hash修改数组,hash表需要额外空间
如果不允许重复的话,小于等于4的元素个数一定是小于等于4的。因为排序好了的数组4个位置放不下大于4个的元素。
class Solution {
public int findDuplicate(int[] nums) {
int left = 0, right = nums.length - 1;
while (left < right) {
int mid = (right - left) / 2 + left;
int count = 0;
for (int i = 0; i < nums.length; i++) {
if (nums[i] <= mid) {
count++;
}
}
if (count > mid) {
right = mid;
} else {
left = mid + 1;
}
}
return left;
}
}