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Copy path188.best-time-to-buy-and-sell-stock-iv.cpp
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188.best-time-to-buy-and-sell-stock-iv.cpp
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// Tag: Array, Dynamic Programming
// Time: O(NK)
// Space: O(NK)
// Ref: -
// Note: -
// You are given an integer array prices where prices[i] is the price of a given stock on the ith day, and an integer k.
// Find the maximum profit you can achieve. You may complete at most k transactions: i.e. you may buy at most k times and sell at most k times.
// Note: You may not engage in multiple transactions simultaneously (i.e., you must sell the stock before you buy again).
//
// Example 1:
//
// Input: k = 2, prices = [2,4,1]
// Output: 2
// Explanation: Buy on day 1 (price = 2) and sell on day 2 (price = 4), profit = 4-2 = 2.
//
// Example 2:
//
// Input: k = 2, prices = [3,2,6,5,0,3]
// Output: 7
// Explanation: Buy on day 2 (price = 2) and sell on day 3 (price = 6), profit = 6-2 = 4. Then buy on day 5 (price = 0) and sell on day 6 (price = 3), profit = 3-0 = 3.
//
//
// Constraints:
//
// 1 <= k <= 100
// 1 <= prices.length <= 1000
// 0 <= prices[i] <= 1000
//
//
class Solution {
public:
int maxProfit(int k, vector<int>& prices) {
k = min(k, (int)prices.size() / 2);
vector<int> buy = vector<int>(k + 1, INT_MIN);
vector<int> sell = vector<int>(k + 1, 0);
for (auto p: prices) {
for (int i = 1; i <= k; i++) {
buy[i] = max(buy[i], sell[i - 1] - p);
sell[i] = max(sell[i], buy[i] + p);
}
}
return sell[k];
}
};
class Solution {
public:
int maxProfit(int k, vector<int>& prices) {
if (prices.size() < 2) {
return 0;
}
if (k >= prices.size()) {
return maxProfitUnlimited(prices);
}
vector<int> buy(k + 1, INT_MIN);
vector<int> sell(k + 1, 0);
for (int p : prices) {
for (int i = 1; i <= k; i++) {
buy[i] = max(buy[i], sell[i - 1] - p);
sell[i] = max(sell[i], buy[i] + p);
}
}
return sell[k];
}
int maxProfitUnlimited(vector<int>& prices) {
int profit = 0;
for (int i = 1; i < prices.size(); i++) {
if (prices[i] - prices[i - 1] > 0) {
profit += prices[i] - prices[i - 1];
}
}
return profit;
}
};