Merge branch 'youngyangyang04:master' into master

This commit is contained in:
JaneyLin
2022-06-23 21:26:18 -05:00
committed by GitHub
6 changed files with 183 additions and 24 deletions

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@ -646,5 +646,68 @@ func countNodes(_ root: TreeNode?) -> Int {
}
```
## Scala
递归:
```scala
object Solution {
def countNodes(root: TreeNode): Int = {
if(root == null) return 0
1 + countNodes(root.left) + countNodes(root.right)
}
}
```
层序遍历:
```scala
object Solution {
import scala.collection.mutable
def countNodes(root: TreeNode): Int = {
if (root == null) return 0
val queue = mutable.Queue[TreeNode]()
var node = 0
queue.enqueue(root)
while (!queue.isEmpty) {
val len = queue.size
for (i <- 0 until len) {
node += 1
val curNode = queue.dequeue()
if (curNode.left != null) queue.enqueue(curNode.left)
if (curNode.right != null) queue.enqueue(curNode.right)
}
}
node
}
}
```
利用完全二叉树性质:
```scala
object Solution {
def countNodes(root: TreeNode): Int = {
if (root == null) return 0
var leftNode = root.left
var rightNode = root.right
// 向左向右往下探
var leftDepth = 0
while (leftNode != null) {
leftDepth += 1
leftNode = leftNode.left
}
var rightDepth = 0
while (rightNode != null) {
rightDepth += 1
rightNode = rightNode.right
}
// 如果相等就是一个满二叉树
if (leftDepth == rightDepth) {
return (2 << leftDepth) - 1
}
// 如果不相等就不是一个完全二叉树,继续向下递归
countNodes(root.left) + countNodes(root.right) + 1
}
}
```
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<div align="center"><img src=https://code-thinking.cdn.bcebos.com/pics/01二维码一.jpg width=500> </img></div>

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@ -702,5 +702,35 @@ func binaryTreePaths(_ root: TreeNode?) -> [String] {
}
```
Scala:
递归:
```scala
object Solution {
import scala.collection.mutable.ListBuffer
def binaryTreePaths(root: TreeNode): List[String] = {
val res = ListBuffer[String]()
def traversal(curNode: TreeNode, path: ListBuffer[Int]): Unit = {
path.append(curNode.value)
if (curNode.left == null && curNode.right == null) {
res.append(path.mkString("->")) // mkString函数: 将数组的所有值按照指定字符串拼接
return // 处理完可以直接return
}
if (curNode.left != null) {
traversal(curNode.left, path)
path.remove(path.size - 1)
}
if (curNode.right != null) {
traversal(curNode.right, path)
path.remove(path.size - 1)
}
}
traversal(root, ListBuffer[Int]())
res.toList
}
}
```
-----------------------
<div align="center"><img src=https://code-thinking.cdn.bcebos.com/pics/01二维码一.jpg width=500> </img></div>

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@ -417,6 +417,26 @@ var canPartition = function(nums) {
```
TypeScript:
```ts
function canPartition(nums: number[]): boolean {
const sum: number = nums.reduce((a: number, b: number): number => a + b);
if (sum % 2 === 1) return false;
const target: number = sum / 2;
// dp[j]表示容量总数和为j的背包所能装下的数下标[0, i]之间任意取)的总和(<= 容量)的最大值
const dp: number[] = new Array(target + 1).fill(0);
const n: number = nums.length;
for (let i: number = 0; i < n; i++) {
for (let j: number = target; j >= nums[i]; j--) {
dp[j] = Math.max(dp[j], dp[j - nums[i]] + nums[i]);
}
}
return dp[target] === target;
};
```
C:
二维dp
```c
@ -575,6 +595,5 @@ function canPartition(nums: number[]): boolean {
-----------------------
<div align="center"><img src=https://code-thinking.cdn.bcebos.com/pics/01二维码一.jpg width=500> </img></div>

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@ -351,22 +351,26 @@ const findTargetSumWays = (nums, target) => {
};
```
TypeScript
```typescript
TypeScript:
```ts
function findTargetSumWays(nums: number[], target: number): number {
const sum: number = nums.reduce((pre, cur) => pre + cur);
if (Math.abs(target) > sum) return 0;
if ((target + sum) % 2 === 1) return 0;
const bagSize: number = (target + sum) / 2;
const dp: number[] = new Array(bagSize + 1).fill(0);
dp[0] = 1;
for (let i = 0; i < nums.length; i++) {
for (let j = bagSize; j >= nums[i]; j--) {
// 把数组分成两个组合left, right.left + right = sum, left - right = target.
const sum: number = nums.reduce((a: number, b: number): number => a + b);
if ((sum + target) % 2 || Math.abs(target) > sum) return 0;
const left: number = (sum + target) / 2;
// 将问题转化为装满容量为left的背包有多少种方法
// dp[i]表示装满容量为i的背包有多少种方法
const dp: number[] = new Array(left + 1).fill(0);
dp[0] = 1; // 装满容量为0的背包有1种方法什么也不装
for (let i: number = 0; i < nums.length; i++) {
for (let j: number = left; j >= nums[i]; j--) {
dp[j] += dp[j - nums[i]];
}
}
return dp[bagSize];
return dp[left];
};
```

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@ -277,26 +277,29 @@ var lastStoneWeightII = function (stones) {
};
```
TypeScript
```typescript
TypeScript版本
```ts
function lastStoneWeightII(stones: number[]): number {
const sum: number = stones.reduce((pre, cur) => pre + cur);
const bagSize: number = Math.floor(sum / 2);
const weightArr: number[] = stones;
const valueArr: number[] = stones;
const goodsNum: number = weightArr.length;
const dp: number[] = new Array(bagSize + 1).fill(0);
for (let i = 0; i < goodsNum; i++) {
for (let j = bagSize; j >= weightArr[i]; j--) {
dp[j] = Math.max(dp[j], dp[j - weightArr[i]] + valueArr[i]);
const sum: number = stones.reduce((a: number, b:number): number => a + b);
const target: number = Math.floor(sum / 2);
const n: number = stones.length;
// dp[j]表示容量总数和为j的背包所能装下的数下标[0, i]之间任意取)的总和(<= 容量)的最大值
const dp: number[] = new Array(target + 1).fill(0);
for (let i: number = 0; i < n; i++ ) {
for (let j: number = target; j >= stones[i]; j--) {
dp[j] = Math.max(dp[j], dp[j - stones[i]] + stones[i]);
}
}
return sum - dp[bagSize] * 2;
return sum - dp[target] - dp[target];
};
```
-----------------------
<div align="center"><img src=https://code-thinking.cdn.bcebos.com/pics/01二维码一.jpg width=500> </img></div>

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@ -217,6 +217,46 @@ var smallerNumbersThanCurrent = function(nums) {
};
```
TypeScript:
> 暴力法:
```typescript
function smallerNumbersThanCurrent(nums: number[]): number[] {
const length: number = nums.length;
const resArr: number[] = [];
for (let i = 0; i < length; i++) {
let count: number = 0;
for (let j = 0; j < length; j++) {
if (nums[j] < nums[i]) {
count++;
}
}
resArr[i] = count;
}
return resArr;
};
```
> 排序+hash
```typescript
function smallerNumbersThanCurrent(nums: number[]): number[] {
const length: number = nums.length;
const sortedArr: number[] = [...nums];
sortedArr.sort((a, b) => a - b);
const hashMap: Map<number, number> = new Map();
for (let i = length - 1; i >= 0; i--) {
hashMap.set(sortedArr[i], i);
}
const resArr: number[] = [];
for (let i = 0; i < length; i++) {
resArr[i] = hashMap.get(nums[i]);
}
return resArr;
};
```
-----------------------