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// Source: https://leetcode.com/problems/best-time-to-buy-and-sell-stock-v
// Title: Best Time to Buy and Sell Stock V
// Difficulty: Medium
// Author: Mu Yang <http://muyang.pro>
////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
// You are given an integer array `prices` where `prices[i]` is the price of a stock in dollars on the `i^th` day, and an integer `k`.
//
// You are allowed to make at most `k` transactions, where each transaction can be either of the following:
//
// - **Normal transaction**: Buy on day `i`, then sell on a later day `j` where `i < j`. You profit `prices[j] - prices[i]`.
//
// - **Short selling transaction**: Sell on day `i`, then buy back on a later day `j` where `i < j`. You profit `prices[i] - prices[j]`.
//
// **Note** that you must complete each transaction before starting another. Additionally, you can't buy or sell on the same day you are selling or buying back as part of a previous transaction.
//
// Return the **maximum** total profit you can earn by making **at most** `k` transactions.
//
// **Example 1:**
//
// ```
// Input: prices = [1,7,9,8,2], k = 2
// Output: 14
// Explanation:
// We can make $14 of profit through 2 transactions:
// - A normal transaction: buy the stock on day 0 for $1 then sell it on day 2 for $9.
// - A short selling transaction: sell the stock on day 3 for $8 then buy back on day 4 for $2.
// ```
//
// **Example 2:**
//
// ```
// Input: prices = [12,16,19,19,8,1,19,13,9], k = 3
// Output: 36
// Explanation:
// We can make $36 of profit through 3 transactions:
// - A normal transaction: buy the stock on day 0 for $12 then sell it on day 2 for $19.
// - A short selling transaction: sell the stock on day 3 for $19 then buy back on day 4 for $8.
// - A normal transaction: buy the stock on day 5 for $1 then sell it on day 6 for $19.
// ```
//
// **Constraints:**
//
// - `2 <= prices.length <= 10^3`
// - `1 <= prices[i] <= 10^9`
// - `1 <= k <= prices.length / 2`
//
////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
#include <algorithm>
#include <cstdint>
#include <vector>
using namespace std;
// DP
//
// Denote a[i] as the profit after buying of the ith transaction (normal).
// Denote b[i] as the profit after selling of the ith transaction (short).
// Denote c[i] as the profit after end of the ith transaction.
//
// c[0] = 0 initially. a[i] = b[i] = c[i] = -inf initially.
//
// For each step,
// a[i] = max(a[i], c[i-1] - price)
// b[i] = max(b[i], c[i-1] + price)
// c[i] = max(c[i], a[i] + price, b[i] - price)
//
// Note that we need to loop from i=k to i=1, and compute c first,
// since we don't allow buying/selling the the same day.
class Solution {
public:
int64_t maximumProfit(vector<int>& prices, int k) {
auto a = vector(k + 1, int64_t(-1e13));
auto b = vector(k + 1, int64_t(-1e13));
auto c = vector(k + 1, int64_t(-1e13));
c[0] = 0;
for (auto price : prices) {
for (auto i = k; i >= 1; --i) {
c[i] = max({c[i], a[i] + price, b[i] - price});
a[i] = max(a[i], c[i - 1] - price);
b[i] = max(b[i], c[i - 1] + price);
}
}
return *max_element(c.cbegin(), c.cend());
}
};