class Solution {
//Let f[i][j] to be the maximum sum of j segments from the first i numbers, where the last element we choose is a[i].
//We have two strategies to achieve it:
//
//1.Choosing the optimal j-1 segments from the first k numbers, and starting a new segment with a[i]:
//f[i][j] = f[k][j-1] + a[i], where j-1 <= k <= i-1.
//let g[j-1] = max(f[k][j-1])
//2.Appending a[i] to the last segment in the first i-1 numbers
//f[i][j] = f[i-1][j] + a[i].
public:
int getMaxProfitDP(vector<int> &prices, int transNum)
{
vector<int> f(transNum+1, 0);
vector<int> g(transNum+1, 0);
for (int i = 1; i < prices.size(); ++i)
{
int diff = prices[i]-prices[i-1];
int m = min(i, transNum);//if not enough to complete transNum transactions
for (int j = m; j >= 1; --j)
{//why scan m->1, because we can not
//let cur diff accumulate, note: g[j-1]
f[j] = max(f[j], g[j-1])+diff;//1.g[j-1] starting a new segment and 2.f[j] Appending a[i] to the last segment
g[j] = max(g[j], f[j]);//record
}
}
int ans = 0;
for(int i = 1; i <= transNum; ++i)
ans = max(ans, g[i]);
return ans;
}
int maxProfit(vector<int> &prices) {
return getMaxProfitDP(prices, 2);
}
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