House Robber II


Problem Statement :


You are a professional robber planning to rob houses along a street. Each house has a certain amount of money stashed. All houses at this place are arranged in a circle. That means the first house is the neighbor of the last one. Meanwhile, adjacent houses have a security system connected, and it will automatically contact the police if two adjacent houses were broken into on the same night.

Given an integer array nums representing the amount of money of each house, return the maximum amount of money you can rob tonight without alerting the police.

 

Example 1:

Input: nums = [2,3,2]
Output: 3
Explanation: You cannot rob house 1 (money = 2) and then rob house 3 (money = 2), because they are adjacent houses.
Example 2:

Input: nums = [1,2,3,1]
Output: 4
Explanation: Rob house 1 (money = 1) and then rob house 3 (money = 3).
Total amount you can rob = 1 + 3 = 4.
Example 3:

Input: nums = [1,2,3]
Output: 3
 

Constraints:

1 <= nums.length <= 100
0 <= nums[i] <= 1000



Solution :



title-img


                            Solution in C :

int rob(int* n, int ns)
{
	int pre,cur, t;
	int i, j, max = 0;
	for (j = 0; j < 3; ++j)
	{
		pre = cur = n[j];
		for (i = j + 2; i < (ns - (!j)); ++i)
		{
			t = cur>(pre + n[i]) ? cur : (pre + n[i]);
			pre = cur;
			cur = t;
		}
		max = max>cur ? max : cur;
	}
	return max;
}
                        


                        Solution in C++ :

class Solution {
public:
    int rob(vector<int>& nums) {
        int n = nums.size(); 
        if (n < 2) return n ? nums[0] : 0;
        return max(robber(nums, 0, n - 2), robber(nums, 1, n - 1));
    }
private:
    int robber(vector<int>& nums, int l, int r) {
        int pre = 0, cur = 0;
        for (int i = l; i <= r; i++) {
            int temp = max(pre + nums[i], cur);
            pre = cur;
            cur = temp;
        }
        return cur;
    }
};
                    


                        Solution in Java :

class Solution {
  public int rob(int[] nums) {
    if (nums.length == 0)
      return 0;
    if (nums.length == 1)
      return nums[0];
    return Math.max(rob(nums, 0, nums.length - 2), rob(nums, 1, nums.length - 1));
  }
  private int rob(int[] nums, int l, int r) {
    int prev1 = 0;
    int prev2 = 0;

    for (int i = l; i <= r; ++i) {
      final int dp = Math.max(prev1, prev2 + nums[i]);
      prev2 = prev1;
      prev1 = dp;
    }
    return prev1;
  }
}
                    


                        Solution in Python : 
                            
class Solution:
    def rob(self, nums: List[int]) -> int:
        if len(nums) <= 2:
            return max(nums)
        def recur(arr):
            if len(arr) <= 2:
                return max(arr)
            n_1 = max(arr[0], arr[1])
            n_2 = arr[0]
            n = max(n_1, n_2+arr[2])

            for i in range(3, len(arr)):
                n_2 = n_1
                n_1 = n
                n = max(n_1, n_2+arr[i])
            return n
        return max(recur(nums[:-1]), recur(nums[1:]))
                    


View More Similar Problems

Balanced Forest

Greg has a tree of nodes containing integer data. He wants to insert a node with some non-zero integer value somewhere into the tree. His goal is to be able to cut two edges and have the values of each of the three new trees sum to the same amount. This is called a balanced forest. Being frugal, the data value he inserts should be minimal. Determine the minimal amount that a new node can have to a

View Solution →

Jenny's Subtrees

Jenny loves experimenting with trees. Her favorite tree has n nodes connected by n - 1 edges, and each edge is ` unit in length. She wants to cut a subtree (i.e., a connected part of the original tree) of radius r from this tree by performing the following two steps: 1. Choose a node, x , from the tree. 2. Cut a subtree consisting of all nodes which are not further than r units from node x .

View Solution →

Tree Coordinates

We consider metric space to be a pair, , where is a set and such that the following conditions hold: where is the distance between points and . Let's define the product of two metric spaces, , to be such that: , where , . So, it follows logically that is also a metric space. We then define squared metric space, , to be the product of a metric space multiplied with itself: . For

View Solution →

Array Pairs

Consider an array of n integers, A = [ a1, a2, . . . . an] . Find and print the total number of (i , j) pairs such that ai * aj <= max(ai, ai+1, . . . aj) where i < j. Input Format The first line contains an integer, n , denoting the number of elements in the array. The second line consists of n space-separated integers describing the respective values of a1, a2 , . . . an .

View Solution →

Self Balancing Tree

An AVL tree (Georgy Adelson-Velsky and Landis' tree, named after the inventors) is a self-balancing binary search tree. In an AVL tree, the heights of the two child subtrees of any node differ by at most one; if at any time they differ by more than one, rebalancing is done to restore this property. We define balance factor for each node as : balanceFactor = height(left subtree) - height(righ

View Solution →

Array and simple queries

Given two numbers N and M. N indicates the number of elements in the array A[](1-indexed) and M indicates number of queries. You need to perform two types of queries on the array A[] . You are given queries. Queries can be of two types, type 1 and type 2. Type 1 queries are represented as 1 i j : Modify the given array by removing elements from i to j and adding them to the front. Ty

View Solution →