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【程序员必会十大算法】之二分查找算法

时间:2022-10-11 16:32:20浏览次数:51  
标签:二分 arr right int findVal mid 程序员 算法 left


1.递归实现

①不考虑相同数
/**
* 二分查找,不考虑有相同数的情况(递归)
* @param arr
* @param left
* @param right
* @param findVal
* @return
*/
public static int binarySearch(int[] arr,int left,int right,int findVal){
if (left > right || arr[0] > findVal || arr[arr.length - 1] < findVal){
return -1;
}else {
int mid = (left + right) / 2;

if (arr[mid] > findVal){
return binarySearch(arr,left,mid - 1,findVal);
}else if (arr[mid] < findVal){
return binarySearch(arr,mid + 1,right,findVal);
}else {
//找到了
return mid;
}
}
}
②考虑有相同数
/**
* 二分查找 考虑有相同元素的情况(递归)
* @param arr
* @param left
* @param right
* @param findVal 要查找的值
* @return
*/
public static ArrayList<Integer> binarySearch1(int[] arr,int left,int right,int findVal){
if (left > right || arr[0] > findVal || arr[arr.length - 1] < findVal){
return null;
}else {
int mid = (left + right) / 2;
if (arr[mid] > findVal){
return binarySearch1(arr,left,mid - 1,findVal);
}else if (arr[mid] < findVal){
return binarySearch1(arr,mid + 1,right,findVal);
}else {
ArrayList<Integer> arrayList = new ArrayList<>();

//先往左走
int midLeft = mid - 1;
while (midLeft >= 0 && arr[midLeft] == findVal){
arrayList.add(midLeft);
midLeft--;
}

Collections.reverse(arrayList);

arrayList.add(mid);

int midRight = mid + 1;

while (midRight < arr.length && arr[midRight] == findVal){
arrayList.add(midRight);
midRight++;
}

return arrayList;
}
}
}

2.非递归实现

①不考虑有相同数
/**
* 二分查找,不考虑有相同数的情况(非递归)
* @param arr
* @param findVal
* @return
*/
public static int binarySearch3(int[] arr,int findVal){
int left = 0;
int right = arr.length - 1;

while (left <= right){
int mid = (left + right) / 2;

if (arr[mid] > findVal){
right = mid - 1;
}else if (arr[mid] < findVal){
left = mid + 1;
}else {
return mid;
}
}

return -1;
}
②考虑有相同数
/**
* 二分查找,考虑有相同数的情况(非递归)
* @param arr
* @param findVal
* @return
*/
public static ArrayList<Integer> binarySearch4(int[] arr,int findVal){
int left = 0;
int right = arr.length - 1;
while (left <= right){
int mid = (left + right) / 2;
if (arr[mid] > findVal){
right = mid - 1;
}else if (arr[mid] < findVal){
left = mid + 1;
}else {
ArrayList<Integer> arrayList = new ArrayList<>();
int midLeft = mid - 1;
while (midLeft > 0 && arr[midLeft] == findVal){
arrayList.add(midLeft);
midLeft--;
}

Collections.reverse(arrayList);

arrayList.add(mid);

int midRight = mid + 1;
while (midRight < arr.length && arr[midRight] == findVal){
arrayList.add(midRight);
midRight++;
}

return arrayList;
}
}

return new ArrayList<>();
}

完整版

public class Main {
public static void main(String[] args) {
int[] arr = {1,1,2,2,33};

}

/**
* 二分查找,考虑有相同数的情况(非递归)
* @param arr
* @param findVal
* @return
*/
public static ArrayList<Integer> binarySearch4(int[] arr,int findVal){
int left = 0;
int right = arr.length - 1;
while (left <= right){
int mid = (left + right) / 2;
if (arr[mid] > findVal){
right = mid - 1;
}else if (arr[mid] < findVal){
left = mid + 1;
}else {
ArrayList<Integer> arrayList = new ArrayList<>();
int midLeft = mid - 1;
while (midLeft > 0 && arr[midLeft] == findVal){
arrayList.add(midLeft);
midLeft--;
}

Collections.reverse(arrayList);

arrayList.add(mid);

int midRight = mid + 1;
while (midRight < arr.length && arr[midRight] == findVal){
arrayList.add(midRight);
midRight++;
}

return arrayList;
}
}

return new ArrayList<>();
}
/**
* 二分查找,不考虑有相同数的情况(非递归)
* @param arr
* @param findVal
* @return
*/
public static int binarySearch3(int[] arr,int findVal){
int left = 0;
int right = arr.length - 1;

while (left <= right){
int mid = (left + right) / 2;

if (arr[mid] > findVal){
right = mid - 1;
}else if (arr[mid] < findVal){
left = mid + 1;
}else {
return mid;
}
}

return -1;
}

/**
* 二分查找 考虑有相同元素的情况(递归)
* @param arr
* @param left
* @param right
* @param findVal 要查找的值
* @return
*/
public static ArrayList<Integer> binarySearch1(int[] arr,int left,int right,int findVal){
if (left > right || arr[0] > findVal || arr[arr.length - 1] < findVal){
return null;
}else {
int mid = (left + right) / 2;
if (arr[mid] > findVal){
return binarySearch1(arr,left,mid - 1,findVal);
}else if (arr[mid] < findVal){
return binarySearch1(arr,mid + 1,right,findVal);
}else {
ArrayList<Integer> arrayList = new ArrayList<>();

//先往左走
int midLeft = mid - 1;
while (midLeft >= 0 && arr[midLeft] == findVal){
arrayList.add(midLeft);
midLeft--;
}

Collections.reverse(arrayList);

arrayList.add(mid);

int midRight = mid + 1;

while (midRight < arr.length && arr[midRight] == findVal){
arrayList.add(midRight);
midRight++;
}

return arrayList;
}
}
}

/**
* 二分查找,不考虑有相同数的情况(递归)
* @param arr
* @param left
* @param right
* @param findVal
* @return
*/
public static int binarySearch(int[] arr,int left,int right,int findVal){
if (left > right || arr[0] > findVal || arr[arr.length - 1] < findVal){
return -1;
}else {
int mid = (left + right) / 2;

if (arr[mid] > findVal){
return binarySearch(arr,left,mid - 1,findVal);
}else if (arr[mid] < findVal){
return binarySearch(arr,mid + 1,right,findVal);
}else {
//找到了
return mid;
}
}
}
}


标签:二分,arr,right,int,findVal,mid,程序员,算法,left
From: https://blog.51cto.com/u_15824619/5746638

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