经典写法
需要注意的三点:
- 循环退出条件,注意是 low <= high,⽽不是 low < high。
- mid 的取值,mid := low + (high-low)>>1
- low 和 high 的更新。low = mid + 1,high = mid - 1。
func binarySearchMatrix(nums []int, target int) int {
low, high := 0, len(nums)-1
for low <= high {
mid := low + (high-low)>>1
if nums[mid] == target {
return mid
} else if nums[mid] > target {
high = mid - 1
} else {
low = mid + 1 }
}
return -1
}
二分扩展写法
查找第⼀个与 target 相等的元素,时间复杂度 O(logn)
func searchFirstEqualElement(nums []int, target int) int {
low, high := 0, len(nums)-1
for low <= high {
mid := low + ((high - low) >> 1)
if nums[mid] > target {
high = mid - 1
} else if nums[mid] < target {
low = mid + 1
} else {
if (mid == 0) || (nums[mid-1] != target) { // 找到第⼀个与 target 相等的元素
return mid
}
high = mid - 1
}
}
return -1
}
查找最后⼀个与 target 相等的元素,时间复杂度 O(logn)
func searchLastEqualElement(nums []int, target int) int {
low, high := 0, len(nums)-1
for low <= high {
mid := low + ((high - low) >> 1)
if nums[mid] > target {
high = mid - 1
} else if nums[mid] < target {
low = mid + 1
} else {
if (mid == len(nums)-1) || (nums[mid+1] != target) { // 找到最后⼀个与
target 相等的元素
return mid
}
low = mid + 1
}
}
return -1}
查找第⼀个⼤于等于 target 的元素,时间复杂度 O(logn)
func searchFirstGreaterElement(nums []int, target int) int {
low, high := 0, len(nums)-1
for low <= high {
mid := low + ((high - low) >> 1)
if nums[mid] >= target {
if (mid == 0) || (nums[mid-1] < target) { // 找到第⼀个⼤于等于 target 的元
素
return mid
}
high = mid - 1
} else {
low = mid + 1
}
}
return -1
}
查找最后⼀个⼩于等于 target 的元素,时间复杂度 O(logn)
func searchLastLessElement(nums []int, target int) int {
low, high := 0, len(nums)-1
for low <= high {
mid := low + ((high - low) >> 1)
if nums[mid] <= target {
if (mid == len(nums)-1) || (nums[mid+1] > target) { // 找到最后⼀个⼩于等于
target 的元素
return mid
}
low = mid + 1
} else {
high = mid - 1
}
}
return -1
}