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LeetCode Study : 122. Best Time to Buy and Sell Stock II

問題

Say you have an array for which the ith element is the price of a given stock on day i.

Design an algorithm to find the maximum profit. You may complete as many transactions as you like (i.e., buy one and sell one share of the stock multiple times).

Example 1:

Input: [7,1,5,3,6,4]
Output: 7
Explanation: Buy on day 2 (price = 1) and sell on day 3 (price = 5), profit = 5-1 = 4.
             Then buy on day 4 (price = 3) and sell on day 5 (price = 6), profit = 6-3 = 3.

Example 2:

Input: [1,2,3,4,5]
Output: 4
Explanation: Buy on day 1 (price = 1) and sell on day 5 (price = 5), profit = 5-1 = 4.
             Note that you cannot buy on day 1, buy on day 2 and sell them later, as you are
             engaging multiple transactions at the same time. You must sell before buying again.

Example 3:

Input: [7,6,4,3,1]
Output: 0
Explanation: In this case, no transaction is done, i.e. max profit = 0.

https://leetcode.com/problems/best-time-to-buy-and-sell-stock-ii/

Note: You may not engage in multiple transactions at the same time (i.e., you must sell the stock before you buy again).

自分の解答

public int maxProfit(int[] prices) {
    int maxProfit = 0;
    int buyPrice = -1;
    for (int i = 0; i < prices.length; i++) {
        int price = prices[i];
        if (buyPrice < 0) {
            buyPrice = price;
            continue;
        }
        if (buyPrice > price) {
            buyPrice = price;
            continue;
        }
        if (buyPrice < price && (i + 1 == prices.length || price >= prices[i + 1])) {
            maxProfit += (price - buyPrice);
            buyPrice = -1;
        }
    }
    return maxProfit;
}

コード理解

別解1

class Solution {
    public int maxProfit(int[] prices) {
        int i = 0;
        int valley = prices[0];
        int peak = prices[0];
        int maxprofit = 0;
        while (i < prices.length - 1) {
            while (i < prices.length - 1 && prices[i] >= prices[i + 1])
                i++;
            valley = prices[i];
            while (i < prices.length - 1 && prices[i] <= prices[i + 1])
                i++;
            peak = prices[i];
            maxprofit += peak - valley;
        }
        return maxprofit;
    }
}

別解2

class Solution {
    public int maxProfit(int[] prices) {
        int maxprofit = 0;
        for (int i = 1; i < prices.length; i++) {
            if (prices[i] > prices[i - 1])
                maxprofit += prices[i] - prices[i - 1];
        }
        return maxprofit;
    }
}

Time :  O(n) / Space :  O(1)

まずBruteForceで Timeが  O(n^{2})にならなかったのは良しとしよう。別解1は近いけど、ネストしたwhileを使えばforのcontinueと同じようなことをできるってのは初めて気づいたこと。

それより別解2。やばすぎ、すげーシンプル。確かに。値が次と比べて大きかったらその差足せばいいだけだった。問題文につられすぎ。

一応、前問から学習したポイントで、頭の中でグラフ化して考えはしてみたんだけど、 O(n)のロジックを思いついた時点でそれ以上シンプルにしようとすら考えなかった。甘いなぁ。

今後のための考え方

  • ネストしたwhileでforのcontinueぽいのできる
  • グラフで考えるのやはり大事
  • 計算量を減らしただけで満足しない、もっとシンプルにできないか?
  • 数式(一般項)で表現してみればヒントが得られるかも!