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Problem solution · Java

Minimum Amount of Damage Dealt to Bob

Minimum Amount of Damage Dealt to Bob: a Java solution using sorting and greedy selection. Learn the idea, check the complexity, and read the full code, with credit to walkccc LeetCode Solutions.

Technique
Sorting and greedy selection
Source
walkccc LeetCode Solutions
Length
40 lines
Start with the idea.

Try the problem first. If you get stuck, read the approach below, then write your own solution. The full code is at the bottom.

Approach

Sorting and greedy selection

For Minimum Amount of Damage Dealt to Bob, the implementation first exposes a useful order, then scans that order while making locally justified choices.

  1. Choose the key that reveals the greedy or grouping structure.
  2. Sort the relevant records by that key.
  3. Scan in order, maintaining the invariant that makes each local choice safe.

Code notes

  • 40 lines of Java from the credited upstream file 3273.java.
  • The implementation visibly relies on sequence storage.
  • 2 loop blocks detected.

Complexity

Sorting is typically the dominant term unless the subsequent scan uses a more expensive nested operation.

Check the problem constraints before deciding whether this complexity will pass.

Source

Code and credit

This code comes from walkccc LeetCode Solutions by P.-Y. Chen (walkccc) and is used under the MIT licence.

Open problem ↗Original source ↗
Full codeMinimum Amount of Damage Dealt to Bob · JavaJava
Use this to learn the idea, then write your own version.
class Enemy {  public int damage;  public int timeTakenDown;  public Enemy(int damage, int timeTakenDown) {    this.damage = damage;    this.timeTakenDown = timeTakenDown;  }} class Solution {  public long minDamage(int power, int[] damage, int[] health) {    long ans = 0;    long sumDamage = Arrays.stream(damage).asLongStream().sum();    Enemy[] enemies = new Enemy[damage.length];     for (int i = 0; i < damage.length; ++i)      enemies[i] = new Enemy(damage[i], (health[i] + power - 1) / power);     // It's better to take down the enemy i first if the damage dealt of taking    // down i first is less than the damage dealt of taking down j first. So,    //    damage[i] * t[i] + (t[i] + t[j]) * damage[j] <    //    damage[j] * t[j] + (t[i] + t[j]) * damage[i]    // => damage[i] * t[i] + damage[j] * t[i] + damage[j] * t[j] <    //    damage[j] * t[j] + damage[i] * t[j] + damage[i] * t[i]    // => damage[j] * t[i] < damage[i] * t[j]    // => damage[j] / t[j] < damage[i] / t[i]    Arrays.sort(enemies,                (a, b)                    -> Double.compare((double) b.damage / b.timeTakenDown,                                      (double) a.damage / a.timeTakenDown));     for (final Enemy enemy : enemies) {      ans += sumDamage * enemy.timeTakenDown;      sumDamage -= enemy.damage;    }     return ans;  }}

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