一、每日温度
单调栈里只需要存放元素的下标i就可以了,如果需要使用对应的元素,直接T[i]就可以获取。
要找大于 i 的元素,单调栈从栈顶到栈底元素是单调递增的。
class Solution {
public int[] dailyTemperatures(int[] temperatures) {
int[] res = new int[temperatures.length];
Deque<Integer> stack=new LinkedList<>();
stack.push(0);
for (int i = 1; i < temperatures.length; i++) {
if (temperatures[i] <= temperatures[stack.peek()]) {
stack.push(i);
} else {
while (!stack.isEmpty() && temperatures[i] > temperatures[stack.peek()]) {
res[stack.peek()] = i - stack.peek();
stack.pop();
}
stack.push(i);
}
}
return res;
}
}
二、下一个更大元素I
用个hashmap就可以了
class Solution {
public int[] nextGreaterElement(int[] nums1, int[] nums2) {
int[] res = new int[nums1.length];
Deque<Integer> stack = new LinkedList<>();
HashMap<Integer, Integer> hashMap = new HashMap<>();
Arrays.fill(res,-1);
for (int i = 0 ; i< nums1.length ; i++){
hashMap.put(nums1[i],i);
}
stack.add(0);
for (int i = 1; i < nums2.length; i++) {
if (nums2[i] <= nums2[stack.peek()]) {
stack.push(i);
} else {
while (!stack.isEmpty() && nums2[i] > nums2[stack.peek()]) {
if (hashMap.containsKey(nums2[stack.peek()])) {
res[hashMap.get(nums2[stack.peek()])] = nums2[i];
}
stack.pop();
}
stack.push(i);
}
}
return res;
}
}
三、下一个更大元素II
用 i % size 取余。
class Solution {
public int[] nextGreaterElements(int[] nums) {
int size = nums.length;
int[] res = new int[size];
Arrays.fill(res,-1);
Stack<Integer> st= new Stack<>();
st.push(0);
for (int i = 1; i < 2*size; i++) {
if (nums[i % size] <= nums[st.peek()]) {
st.push(i % size);
} else {
while (!st.isEmpty() && nums[i % size] > nums[st.peek()]) {
res[st.peek()] = nums[i % size];
st.pop();
}
st.push(i % size);
}
}
return res;
}
}
四、接雨水
class Solution {
public int trap(int[] height){
int size = height.length;
if (size <= 2) return 0;
// in the stack, we push the index of array
// using height[] to access the real height
Stack<Integer> stack = new Stack<Integer>();
stack.push(0);
int sum = 0;
for (int index = 1; index < size; index++){
int stackTop = stack.peek();
if (height[index] < height[stackTop]){
stack.push(index);
}else if (height[index] == height[stackTop]){
// 因为相等的相邻墙,左边一个是不可能存放雨水的,所以pop左边的index, push当前的index
stack.pop();
stack.push(index);
}else{
//pop up all lower value
int heightAtIdx = height[index];
while (!stack.isEmpty() && (heightAtIdx > height[stackTop])){
int mid = stack.pop();
if (!stack.isEmpty()){
int left = stack.peek();
int h = Math.min(height[left], height[index]) - height[mid];
int w = index - left - 1;
int hold = h * w;
if (hold > 0) sum += hold;
stackTop = stack.peek();
}
}
stack.push(index);
}
}
return sum;
}
}
五、柱状图中最大的矩形
class Solution {
public int largestRectangleArea(int[] heights) {
Stack<Integer> st = new Stack<Integer>();
// 数组扩容,在头和尾各加入一个元素
int [] newHeights = new int[heights.length + 2];
newHeights[0] = 0;
newHeights[newHeights.length - 1] = 0;
for (int index = 0; index < heights.length; index++){
newHeights[index + 1] = heights[index];
}
heights = newHeights;
st.push(0);
int result = 0;
// 第一个元素已经入栈,从下标1开始
for (int i = 1; i < heights.length; i++) {
// 注意heights[i] 是和heights[st.top()] 比较 ,st.top()是下标
if (heights[i] > heights[st.peek()]) {
st.push(i);
} else if (heights[i] == heights[st.peek()]) {
st.pop(); // 这个可以加,可以不加,效果一样,思路不同
st.push(i);
} else {
while (heights[i] < heights[st.peek()]) { // 注意是while
int mid = st.peek();
st.pop();
int left = st.peek();
int right = i;
int w = right - left - 1;
int h = heights[mid];
result = Math.max(result, w * h);
}
st.push(i);
}
}
return result;
}
}