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Problem solution · Java

Maximum Gap

Maximum Gap: a Java solution using direct simulation. Learn the idea, check the complexity, and read the full code, with credit to walkccc LeetCode Solutions.

Technique
Direct simulation
Source
walkccc LeetCode Solutions
Length
46 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

Direct simulation

For Maximum Gap, the implementation follows the problem’s operations directly while maintaining only the state needed for the next decision.

  1. Translate each rule into one explicit state update.
  2. Maintain the invariant after every processed item.
  3. Return the accumulated state once all relevant input has been handled.

Code notes

  • 46 lines of Java from the credited upstream file 164.java.
  • The implementation visibly relies on sequence storage.
  • 3 loop blocks detected.

Complexity

Count the number and nesting of passes over the input, then include the maintained containers in the memory estimate.

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 codeMaximum Gap · JavaJava
Use this to learn the idea, then write your own version.
class Bucket {  public int mn;  public int mx;  public Bucket(int mn, int mx) {    this.mn = mn;    this.mx = mx;  }} class Solution {  public int maximumGap(int[] nums) {    if (nums.length < 2)      return 0;     final int mn = Arrays.stream(nums).min().getAsInt();    final int mx = Arrays.stream(nums).max().getAsInt();    if (mn == mx)      return 0;     final int gap = (int) Math.ceil((double) (mx - mn) / (nums.length - 1));    final int bucketsLength = (mx - mn) / gap + 1;    Bucket[] buckets = new Bucket[bucketsLength];     for (int i = 0; i < buckets.length; ++i)      buckets[i] = new Bucket(Integer.MAX_VALUE, Integer.MIN_VALUE);     for (final int num : nums) {      final int i = (num - mn) / gap;      buckets[i].mn = Math.min(buckets[i].mn, num);      buckets[i].mx = Math.max(buckets[i].mx, num);    }     int ans = 0;    int prevMax = mn;     for (final Bucket bucket : buckets) {      if (bucket.mn == Integer.MAX_VALUE) // empty bucket        continue;      ans = Math.max(ans, bucket.mn - prevMax);      prevMax = bucket.mx;    }     return ans;  }}

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