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Given a circular array C of integers represented by A
, find the maximum possible sum of a non-empty subarray of C.git
Here, a circular array means the end of the array connects to the beginning of the array. (Formally, C[i] = A[i]
when 0 <= i < A.length
, and C[i+A.length] = C[i]
when i >= 0
.)github
Also, a subarray may only include each element of the fixed buffer A
at most once. (Formally, for a subarray C[i], C[i+1], ..., C[j]
, there does not exist i <= k1, k2 <= j
with k1 % A.length = k2 % A.length
.)數組
Example 1:微信
Input: [1,-2,3,-2]
Output: 3 Explanation: Subarray [3] has maximum sum 3
Example 2:app
Input: [5,-3,5]
Output: 10 Explanation: Subarray [5,5] has maximum sum 5 + 5 = 10
Example 3:spa
Input: [3,-1,2,-1]
Output: 4 Explanation: Subarray [2,-1,3] has maximum sum 2 + (-1) + 3 = 4
Example 4:code
Input: [3,-2,2,-3]
Output: 3 Explanation: Subarray [3] and [3,-2,2] both have maximum sum 3
Example 5:orm
Input: [-2,-3,-1]
Output: -1 Explanation: Subarray [-1] has maximum sum -1
Note:htm
-30000 <= A[i] <= 30000
1 <= A.length <= 30000
給定一個由整數數組 A
表示的環形數組 C
,求 C
的非空子數組的最大可能和。
在此處,環形數組意味着數組的末端將會與開頭相連呈環狀。(形式上,當0 <= i < A.length
時 C[i] = A[i]
,而當 i >= 0
時 C[i+A.length] = C[i]
)
此外,子數組最多隻能包含固定緩衝區 A
中的每一個元素一次。(形式上,對於子數組 C[i], C[i+1], ..., C[j]
,不存在 i <= k1, k2 <= j
其中 k1 % A.length = k2 % A.length
)
示例 1:
輸入:[1,-2,3,-2] 輸出:3 解釋:從子數組 [3] 獲得最大和 3
示例 2:
輸入:[5,-3,5] 輸出:10 解釋:從子數組 [5,5] 獲得最大和 5 + 5 = 10
示例 3:
輸入:[3,-1,2,-1] 輸出:4 解釋:從子數組 [2,-1,3] 獲得最大和 2 + (-1) + 3 = 4
示例 4:
輸入:[3,-2,2,-3] 輸出:3 解釋:從子數組 [3] 和 [3,-2,2] 均可以獲得最大和 3
示例 5:
輸入:[-2,-3,-1] 輸出:-1 解釋:從子數組 [-1] 獲得最大和 -1
提示:
-30000 <= A[i] <= 30000
1 <= A.length <= 30000
80 ms
1 class Solution { 2 func maxSubarraySumCircular(_ A: [Int]) -> Int { 3 if A == nil || A.count == 0 {return 0} 4 var preSumMin:Int = 0 5 var preSumMax:Int = 0 6 var preSum = 0 7 var sumMin = Int.max 8 var sumMax = Int.min 9 let count = A.count 10 for i in 0..<count 11 { 12 preSum += A[i] 13 sumMax = max(preSum - preSumMin, sumMax) 14 if i != (count - 1) 15 { 16 sumMin = min(preSum - preSumMax, sumMin) 17 } 18 preSumMin = min(preSumMin, preSum) 19 preSumMax = max(preSumMax, preSum) 20 } 21 return max(sumMax, preSum - sumMin) 22 } 23 }
300ms
1 class Solution { 2 func maxSubarraySumCircular(_ A: [Int]) -> Int { 3 4 var maxSum = A.max()! 5 6 var simpleA: [Int] = [] 7 simpleA.reserveCapacity(A.count) 8 var isPos = A.first! > 0 9 var sum = 0 10 for i in 0..<A.count { 11 if A[i] > 0 || A[i] < 0{ 12 if isPos == (A[i] > 0) { 13 sum += A[i] 14 } else { 15 simpleA.append(sum) 16 sum = A[i] 17 isPos = A[i] > 0 18 } 19 } 20 } 21 simpleA.append(sum) 22 23 let AA = simpleA + simpleA 24 25 iCycle: for i in 0..<simpleA.count { 26 if simpleA[i] < 0 { 27 continue iCycle 28 } 29 var sum = simpleA[i] 30 maxSum = max(sum, maxSum) 31 jCycle: for j in (i+1)..<(i+simpleA.count) { 32 sum += AA[j] 33 if sum < 0 { 34 continue iCycle 35 } 36 maxSum = max(sum, maxSum) 37 } 38 } 39 return maxSum 40 } 41 }
704ms
1 class Solution { 2 func maxSubarraySumCircular(_ A: [Int]) -> Int { 3 if A == nil || A.count == 0 {return 0} 4 var preSumMin:Int = 0 5 var preSumMax:Int = 0 6 var preSum = 0 7 var sumMin = Int.max 8 var sumMax = Int.min 9 let len = A.count 10 for i in 0..<len 11 { 12 preSum += A[i] 13 sumMax = max(preSum - preSumMin, sumMax) 14 if i != (len - 1) 15 { 16 sumMin = min(preSum - preSumMax, sumMin) 17 } 18 preSumMin = min(preSumMin, preSum) 19 preSumMax = max(preSumMax, preSum) 20 } 21 return max(sumMax, preSum - sumMin) 22 } 23 }
836ms
1 class Solution { 2 func maxSubarraySumCircular(_ A: [Int]) -> Int { 3 guard A.count > 0 else { 4 return 0 5 } 6 let s = A.reduce(0, +) 7 var M = A[0] 8 var m = A[0] 9 var lastM = A[0] 10 var lastm = A[0] 11 for i in 1 ..< A.count { 12 let a = A[i] 13 lastM = max(lastM+a, a) 14 lastm = min(lastm+a, a) 15 M = max(M, lastM) 16 m = min(m, lastm) 17 } 18 return M > 0 ? max(M, s-m) : M 19 } 20 }
948ms
1 class Solution { 2 func maxSubarraySumCircular(_ A: [Int]) -> Int { 3 var sum = 0 4 var curMax = 0 5 var curMin = 0 6 var maxSum = -30000 7 var minSum = 30000 8 for i in 0..<A.count { 9 sum += A[i] 10 curMax = max(curMax + A[i], A[i]) 11 maxSum = max(maxSum, curMax) 12 curMin = min(curMin + A[i], A[i]) 13 minSum = min(minSum, curMin) 14 } 15 return maxSum > 0 ? max(sum - minSum, maxSum) : maxSum 16 } 17 }