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55 | 55 |
|
56 | 56 | <!-- 这里可写通用的实现逻辑 -->
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57 | 57 |
|
| 58 | +**方法一:动态规划** |
| 59 | + |
| 60 | +定义状态 $a$ 表示以当前元素作为正结尾的最大交替子数组和,状态 $b$ 表示以当前元素作为负结尾的最大交替子数组和。初始时 $a = nums[0]$,$b = -\infty$。 |
| 61 | + |
| 62 | +遍历数组,对于当前元素 $nums[i]$,有 |
| 63 | + |
| 64 | +$$ |
| 65 | +\begin{aligned} |
| 66 | +a = \max(nums[i], b + nums[i]) \\ |
| 67 | +b = a - nums[i] |
| 68 | +\end{aligned} |
| 69 | +$$ |
| 70 | + |
| 71 | +求出 $a$ 和 $b$ 后,将 $a$ 和 $b$ 中的最大值与当前最大交替子数组和进行比较,更新最大交替子数组和。 |
| 72 | + |
| 73 | +时间复杂度 $O(n)$,空间复杂度 $O(1)$。其中 $n$ 为数组长度。 |
| 74 | + |
58 | 75 | <!-- tabs:start -->
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59 | 76 |
|
60 | 77 | ### **Python3**
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61 | 78 |
|
62 | 79 | <!-- 这里可写当前语言的特殊实现逻辑 -->
|
63 | 80 |
|
64 | 81 | ```python
|
65 |
| - |
| 82 | +class Solution: |
| 83 | + def maximumAlternatingSubarraySum(self, nums: List[int]) -> int: |
| 84 | + ans = nums[0] |
| 85 | + a, b = nums[0], -inf |
| 86 | + for v in nums[1:]: |
| 87 | + a, b = max(v, b + v), a - v |
| 88 | + ans = max(ans, a, b) |
| 89 | + return ans |
66 | 90 | ```
|
67 | 91 |
|
68 | 92 | ### **Java**
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69 | 93 |
|
70 | 94 | <!-- 这里可写当前语言的特殊实现逻辑 -->
|
71 | 95 |
|
72 | 96 | ```java
|
| 97 | +class Solution { |
| 98 | + public long maximumAlternatingSubarraySum(int[] nums) { |
| 99 | + long ans = nums[0]; |
| 100 | + long a = nums[0], b = -(1 << 30); |
| 101 | + for (int i = 1; i < nums.length; ++i) { |
| 102 | + long c = a, d = b; |
| 103 | + a = Math.max(nums[i], d + nums[i]); |
| 104 | + b = c - nums[i]; |
| 105 | + ans = Math.max(ans, Math.max(a, b)); |
| 106 | + } |
| 107 | + return ans; |
| 108 | + } |
| 109 | +} |
| 110 | +``` |
| 111 | + |
| 112 | +### **C++** |
| 113 | + |
| 114 | +```cpp |
| 115 | +using ll = long long; |
| 116 | + |
| 117 | +class Solution { |
| 118 | +public: |
| 119 | + long long maximumAlternatingSubarraySum(vector<int>& nums) { |
| 120 | + ll ans = nums[0]; |
| 121 | + ll a = nums[0], b = -(1 << 30); |
| 122 | + for (int i = 1; i < nums.size(); ++i) { |
| 123 | + ll c = a, d = b; |
| 124 | + a = max(1ll * nums[i], d + nums[i]); |
| 125 | + b = c - nums[i]; |
| 126 | + ans = max(ans, max(a, b)); |
| 127 | + } |
| 128 | + return ans; |
| 129 | + } |
| 130 | +}; |
| 131 | +``` |
73 | 132 |
|
| 133 | +### **Go** |
| 134 | +
|
| 135 | +```go |
| 136 | +func maximumAlternatingSubarraySum(nums []int) int64 { |
| 137 | + ans := nums[0] |
| 138 | + a, b := nums[0], -(1 << 30) |
| 139 | + for _, v := range nums[1:] { |
| 140 | + c, d := a, b |
| 141 | + a = max(v, d+v) |
| 142 | + b = c - v |
| 143 | + ans = max(ans, max(a, b)) |
| 144 | + } |
| 145 | + return int64(ans) |
| 146 | +} |
| 147 | +
|
| 148 | +func max(a, b int) int { |
| 149 | + if a > b { |
| 150 | + return a |
| 151 | + } |
| 152 | + return b |
| 153 | +} |
74 | 154 | ```
|
75 | 155 |
|
76 | 156 | ### **...**
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