Given a sorted positive integer array nums and an integer n, add/patch elements to the array such that any number in range
[1, n]
inclusive can be formed by the sum of some elements in the array. Return the minimum number of patches required.
Example 1:
nums =
Return
nums =
[1, 3]
, n = 6
Return
1
.
Combinations of nums are
Now if we add/patch
Possible sums are
So we only need
[1], [3], [1,3]
, which form possible sums of: 1, 3, 4
.Now if we add/patch
2
to nums, the combinations are: [1], [2], [3], [1,3], [2,3], [1,2,3]
.Possible sums are
1, 2, 3, 4, 5, 6
, which now covers the range [1, 6]
.So we only need
1
patch.
Example 2:
nums =
Return
The two patches can be
nums =
[1, 5, 10]
, n = 20
Return
2
.The two patches can be
[2, 4]
.
Example 3:
nums =
Return
Understand the problem:nums =
[1, 2, 2]
, n = 5
Return
0
.
show the algorithm with an example,
let nums=[1 2 5 6 20], n = 50.
Initial value: with 0 nums, we can only get 0 maximumly.
Then we need to get 1, since nums[0]=1, then we can get 1 using [1]. now the maximum number we can get is 1. (actually, we can get all number no greater than the maximum number)
number used [1], number added []
can achieve 1~1
Then we need to get 2 (maximum number +1). Since nums[1]=2, we can get 2. Now we can get all number between 1 ~ 3 (3=previous maximum value + the new number 2). and 3 is current maximum number we can get.
number used [1 2], number added []
can achieve 1~3
Then we need to get 4 (3+1). Since nums[2]=5>4; we need to add a new number to get 4. The optimal solution is to add 4 directly. In this case, we could achieve maximumly 7, using [1,2,4].
number used [1 2], number added [4]
can achieve 1~7
Then we need to get 8 (7+1). Since nums[2]=5<8, we can first try to use 5. Now the maximum number we can get is 7+5=12. Since 12>8, we successfully get 8.
number used [1 2 5], number added [4]
can achieve 1~12
Then we need to get 13 (12+1), Since nums[3]=6<13, we can first try to use 6. Now the maximum number we can get is 12+6=18. Since 18>13, we successfully get 13.
number used [1 2 5 6], number added [4]
can achieve 1~18
Then we need to get 19 (18+1), Since nums[4]=20>19, we need to add a new number to get 19. The optimal solution is to add 19 directly. In this case, we could achieve maximumly 37.
number used [1 2 5 6], number added [4 19]
can achieve 1~37
Then we need to get 38(37+1), Since nums[4]=20<38, we can first try to use 20. Now the maximum number we can get is 37+20=57. Since 57>38, we successfully get 38.
number used [1 2 5 6 20], number added [4 19]
can achieve 1~57
Since 57>n=50, we can all number no greater than 50.
The extra number we added are 4 and 19, so we return 2.
The code is given as follows
Code (Java):
public class Solution { public int minPatches(int[] nums, int n) { long maxReach = 0; int patch = 0; int i = 0; while (maxReach < n) { if (i < nums.length && nums[i] <= maxReach + 1) { maxReach += nums[i]; i++; } else { patch++; maxReach += maxReach + 1; } } return patch; } }
python code
ReplyDeleteclass Solution(object):
def minPathches(self,nums,n):
maxReach=0
patch=0
i=0
while(maxReach<n):
if(i<len(nums) and nums[i]<=maxReach+1):
maxReach+=nums[i]
i+=1
else:
patch+=1
maxReach+=maxReach+1
return patch
s=Solution()
nums=[1,5,10]
n=20
s.minPathches(nums,n)