[leetcode]House Robber1,2
/**
* 一、
* You are a professional robber planning to rob houses along a street.Each house has a certain amount of money stashed,
* the only constraint stopping you from robbing each of them is that adjacent houses have security system connected
* and it will automatically contact the police if two adjacent houses were broken into on the same night. Given a list of non-negative integers representing the amount of money of each house,
determine the maximum amount of money you can rob tonight without alerting the police.
二、
Note: This is an extension of House Robber. After robbing those houses on that street, the thief has found himself a new place for his thievery so that he will not get too much attention. This time, all houses at this place are arranged in a circle. That means the first house is the neighbor of the last one. Meanwhile, the security system for these houses remain the same as for those in the previous street. Given a list of non-negative integers representing the amount of money of each house, determine the maximum amount of money you can rob tonight without alerting the police.
*/
/*
* 动态规划的一般套路,创建数组记录到当前这家时可能得到的最大收入,有两种情况,偷这家:res[i-2] + nums[i],不偷这家:res[i-1]
* 状态方程:两种情况取较大的
* 第二题可以分两种情况考虑,一种是偷第一家,则最后一家不偷,第二种就是偷最后一家,第一家不偷,两种情况的较大者就是结果*/
public class Q198HouseRobber {
public int rob(int[] nums) {
if (nums.length == 0 )
return 0;
int[] res = new int[nums.length+1];
res[0] = 0;
res[1] = nums[0];
for (int i = 2; i < nums.length+1; i++) {
res[i] = Math.max((res[i-2]+nums[i-1]),res[i-1]);
}
return res[nums.length];
}
public int rob2(int[] nums){
if (nums.length == 0 )
return 0;
if (nums.length == 1)
return nums[0];
int[] res1 = new int[nums.length];
int[] res2 = new int[nums.length+1];
//包含第一家的情况,最后一家肯定没有,所以循环的次数减1
res1[0] = 0;
res1[1] = nums[0];
for (int i = 2; i < nums.length; i++) {
res1[i] = Math.max((res1[i-2]+nums[i-1]),res1[i-1]);
}
//不包含第一家的情况,
res2[0] = 0;
res2[1] = 0;
for (int i = 2; i < nums.length+1; i++) {
res2[i] = Math.max((res2[i-2]+nums[i-1]),res2[i-1]);
}
return Math.max(res1[res1.length-1],res2[res2.length-1]);
}
}
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