Problem solution · Java

Find the Occurrence of First Almost Equal Substring

Find the Occurrence of First Almost Equal Substring: a Java solution using sliding window or two pointers. Learn the idea, check the complexity, and read the full code, with credit to walkccc LeetCode Solutions.

Technique
Sliding window or two pointers
Source
walkccc LeetCode Solutions
Length
44 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

Sliding window or two pointers

For Find the Occurrence of First Almost Equal Substring, the implementation maintains a moving interval and updates only the information that enters or leaves the window.

  1. Choose the invariant that makes a window valid or useful.
  2. Advance the right boundary and add the new element.
  3. Move the left boundary only as needed while maintaining the invariant and updating the answer.

Code notes

  • 44 lines of Java from the credited upstream file 3303.java.
  • The implementation visibly relies on sequence storage.
  • 3 loop blocks detected.

Complexity

Confirm that neither pointer moves backwards; if so, the scan is usually linear apart from the window’s data-structure operations.

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.

Full codeFind the Occurrence of First Almost Equal Substring · JavaJava
Use this to learn the idea, then write your own version.
class Solution {  public int minStartingIndex(String s, String pattern) {    int[] z1 = zFunction(new StringBuilder(pattern).append(s).toString());    int[] z2 = zFunction(new StringBuilder(pattern)                             .reverse() //                             .append(new StringBuilder(s).reverse())                             .toString());     // Match s[i..i + len(pattern) - 1] with `pattern` from both the prefix and    // the suffix.    for (int i = 0; i <= s.length() - pattern.length(); ++i)      if (z1[pattern.length() + i] + z2[s.length() - i] >= pattern.length() - 1)        return i;     return -1;  }   // Returns the z array, where z[i] is the length of the longest prefix of  // s[i..n) which is also a prefix of s.  //  // https://cp-algorithms.com/string/z-function.html#implementation  private int[] zFunction(final String s) {    final int n = s.length();    int[] z = new int[n];    int l = 0;    int r = 0;    for (int i = 1; i < n; ++i) {      if (i < r)        z[i] = Math.min(r - i, z[i - l]);      while (i + z[i] < n && s.charAt(z[i]) == s.charAt(i + z[i]))        ++z[i];      if (i + z[i] > r) {        l = i;        r = i + z[i];      }    }    return z;  }   private String reversed(final String s) {    return new StringBuilder(s).reverse().toString();  }} 

Did this explanation save you time? I'm a Grade 11 student building this free library to make difficult algorithms easier to understand.

Buy me a coffee ↗