hot100之动态规划下
最长递增子序列(300)class Solution {
public int lengthOfLIS(int[] nums) {
int res = 1;
for(int num : nums){
int idx = findLarge(nums, res, num);
nums = num;
if (idx == res) res++;
}
return res;
}
private int findLarge(int[] nums, int rig, int target){
int lef = -1;
while (lef+1 < rig){
int mid = (lef + rig) / 2;
if (nums < target){
lef = mid;
}else rig = mid;
}
return rig;
}
}
[*]分析
维护一个最小递增array(子序列)通过二分查找筛除坏值(比新插入值大)
利用二分查找优化查询
乘积的最大子数组(152)
class Solution {
public int maxProduct(int[] nums) {
int n = nums.length;
int[] postive_dp = new int ;
int[] negative_dp = new int ;
postive_dp = negative_dp = nums;
for(int i = 1; i < n; i++){
postive_dp =max(postive_dp * nums, negative_dp * nums, nums);
negative_dp = min(postive_dp * nums, negative_dp * nums, nums);
}
int res = Integer.MIN_VALUE;
for (int postive_num : postive_dp){
res = Math.max(res, postive_num);
}
return res;
}
private int max(int val1, int val2, int val3){
val2 = Math.max(val2, val3);
return Math.max(val1, val2);
}
private int min(int val1, int val2, int val3){
val2 = Math.min(val2, val3);
return Math.min(val1, val2);
}
}
[*]分析
因为num有两种状态,即使前值算出来很小 但通过乘负数可以将大局逆转吧
所以维护最大正数和最小负数两个dp,都是潜力
同样也可以优化内存, 因为只依赖前一个状态
分割等和子集(416)
class Solution {
public boolean canPartition(int[] nums) {
int sum = 0;
for (int num: nums){
sum += num;
}
if (sum % 2 != 0) return false;
int target = sum / 2;
boolean[] dp = new boolean;
dp = true;
for (int num : nums){
for (int subSum = target; subSum >= num; subSum--){
dp |= dp;
if (dp) return true;
}
}
return false;
}
}
[*]分析
背包问题
最长有效括号(32)
class Solution {
public int longestValidParentheses(String s) {
int n = s.length();
Deque<Integer> stack = new ArrayDeque<>();
stack.push(-1); // 避免第一个数值是左括号, 无值弹出
int res = 0;
for (int i = 0; i < n; i++){
if (s.charAt(i) == '('){
stack.push(i);
}else{
stack.pop();
if (stack.isEmpty()){
stack.push(i);
}else{
res = Math.max(res, i - stack.peek());
}
}
}
return res;
}
}
[*]分析
没什么好想法,就用栈了
java 里栈的优化似乎不好,不如双端队列
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