Added 10 solutions
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// Author: Rodney Shaghoulian
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// Github: github.com/rshaghoulian
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// HackerRank: hackerrank.com/rshaghoulian
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import java.util.Scanner;
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import java.util.Arrays;
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// Algorithm:
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// 1. Sort both arrays.
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// 2. Linearly walk through both arrays (at the same time).
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// If the combined price is unaffordable, find a cheaper harddrive (j--).
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// If the combined price is too low, update "max", and find a more expensive keyboard (i++)
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// Time complexity: O(n log n + m log m)
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public class Solution {
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static int getMoneySpent(int[] keyboards, int[] drives, int s) {
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Arrays.sort(keyboards); // O(n log n) time complexity
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Arrays.sort(drives); // O(m log m) time complexity
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int max = -1;
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int i = 0;
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int j = drives.length - 1;
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while (i < keyboards.length && j >= 0) { // O(n + m) time complexity
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int cost = keyboards[i] + drives[j];
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if (cost > s) {
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j--; // look for a cheaper hard drive
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} else {
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if (cost > max) {
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max = cost;
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}
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i++; // look for a more expensive keyboard
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}
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}
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return max;
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}
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public static void main(String[] args) {
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/* Save input */
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Scanner scan = new Scanner(System.in);
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int s = scan.nextInt();
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int n = scan.nextInt();
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int m = scan.nextInt();
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int[] keyboards = new int[n];
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for (int i = 0; i < n; i++) {
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keyboards[i] = scan.nextInt();
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}
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int[] drives = new int[m];
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for (int i = 0; i < m; i++) {
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drives[i] = scan.nextInt();
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}
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scan.close();
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/* Calculate result */
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int moneySpent = getMoneySpent(keyboards, drives, s);
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System.out.println(moneySpent);
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}
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}
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