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Your algorithms have become so good at predicting the market that you now know what the share price of Wooden Orange Toothpicks Inc. (WOT) will be for the next number of days.

Each day, you can either buy one share of WOT, sell any number of shares of WOT that you own, or not make any transaction at all. What is the maximum profit you can obtain with an optimum trading strategy?

Example

Buy one share day one, and sell it day two for a profit of . Return .

No profit can be made so you do not buy or sell stock those days. Return .

Function Description

Complete the stockmax function in the editor below.

stockmax has the following parameter(s):

  • prices: an array of integers that represent predicted daily stock prices

Returns

  • int: the maximum profit achievable

Input Format

The first line contains the number of test cases .

Each of the next pairs of lines contain:
– The first line contains an integer , the number of predicted prices for WOT.
– The next line contains n space-separated integers , each a predicted stock price for day .

Constraints

Output Format

Output lines, each containing the maximum profit which can be obtained for the corresponding test case.

Sample Input

STDIN       Function
-----       --------
3           q = 3
3           prices[] size n = 3
5 3 2       prices = [5, 3, 2]
3           prices[] size n = 3
1 2 100     prices = [1, 2, 100]
4           prices[] size n = 4
1 3 1 2     prices =[1, 3, 1, 2]

Sample Output

0
197
3

Explanation

For the first case, there is no profit because the share price never rises, return .
For the second case, buy one share on the first two days and sell both of them on the third day for a profit of .
For the third case, buy one share on day 1, sell one on day 2, buy one share on day 3, and sell one share on day 4. The overall profit is .

Limbajul de programare folosit: java8

Cod:

import java.util.Scanner;

public class Solution {
	public static void main(String[] args) {
		Scanner sc = new Scanner(System.in);

		int T = sc.nextInt();
		for (int tc = 0; tc < T; tc++) {
			int N = sc.nextInt();
			int[] prices = new int[N];
			for (int i = 0; i < prices.length; i++) {
				prices[i] = sc.nextInt();
			}

			System.out.println(solve(prices));
		}

		sc.close();
	}

	static long solve(int[] prices) {
		long profit = 0;
		int highIndex = prices.length - 1;
		for (int i = prices.length - 2; i >= 0; i--) {
			if (prices[i] > prices[highIndex]) {
				highIndex = i;
			} else {
				profit += prices[highIndex] - prices[i];
			}
		}
		return profit;
	}
}

Scor obtinut: 1.0

Submission ID: 464603445

Link challenge: https://www.hackerrank.com/challenges/stockmax/problem

Stock Maximize