DSA Tracker

Hard

Minimum Window Substring

A hard Strings problem included in Love Babbar 450, Striver A2Z. Below: the roles whose interviews prioritise this topic, and how to practise it.

Topic
Strings
Sheets
2
Core for
13 roles
Platform
LeetCode

The problem

Given two strings s and t, find the minimum-length substring of s that contains all characters of t including duplicates.

Example 1

Input
s="ADOBECODEBANC", t="ABC"
Output
"BANC"

Example 2

Input
s="a", t="a"
Output
"a"

Example 3

Input
s="a", t="aa"
Output
""

Constraints

  • 1 <= s.length, t.length <= 10^5
  • s and t consist of uppercase and lowercase English letters

How to think about it

Updated 2026-09-09

Do not track individual character matches independently. Count how many distinct required characters currently satisfy their needed frequency inside the window. Once that match counter equals the number of distinct characters in t, the window is complete; now push the left edge inward until dropping a critical character breaks the condition.

Approaches, worst first

  1. Enumerate substrings

    time O(n^2) · space O(1)

    Generate every substring of s and verify if its character frequency counts cover all character demands from t. Checking each candidate window takes time proportional to the alphabet size or window length, blowing up quickly on long inputs.

  2. Two-pointer sliding windowWrite this one

    time O(n + m) · space O(1)

    Expand right until all character quota demands are satisfied, then contract left to find the tightest boundary while keeping all quotas satisfied. Record the minimum length seen. Both pointers move strictly forward from start to end.

Where people lose marks · 3
  • Returning an empty string instead of the shortest match when t is longer than s or impossible to satisfy. The initial answer trackers must detect when no valid window was ever formed.
  • Mixed case letters collide if mapped to a length-26 array. Letters span both uppercase and lowercase ASCII ranges, requiring a 128-element table or a hash map.
  • Counting total characters rather than distinct completed requirements. Redundant duplicates of one character must not falsely inflate the satisfaction count for missing ones.

The theory behind it

Strings — the ground this problem stands on. All Strings problems

What Strings is

A string is an ordered necklace of text characters, like letters printed along a ribbon of paper. Each character sits at an exact numeric slot, holding a glyph such as a letter, punctuation mark, or digit. In many programming languages, ribbons cannot be edited after creation, meaning changing a single character requires pressing an entirely new ribbon from scratch.

When to reach for it

Reach for string techniques when inputs consist of words, DNA sequences, serialized data formats, or sentences. Clues include questions testing palindromes, anagram matches, substring patterns, parenthesis balancing, or character frequency counts. Whenever an algorithm asks to transform capitalization, parse structured tokens, or compute edits between two phrases, string representations are the core subject.

How the pattern works

Think of characters as small integer codes ranging across standard character sets. Frequency tables with fixed sizes often replace heavy hash maps when tallying occurrences. For search tasks, maintain rolling state using character indices or sliding borders. When building output text through repeated appends, accumulate pieces inside a mutable list or string builder rather than concatenating strings directly, avoiding quadratic copy overhead.

What each operation costs

OperationTime
read character by indexO(1)
concatenate two strings of total length nO(n)
compare two strings of length nO(n)
What usually goes wrong with Strings
  • Concatenating strings inside a loop using the plus operator, which silently creates full copies on each iteration and turns linear routines into quadratic slowdowns.
  • Assuming all characters fall strictly within lowercase English letters without validating spaces, uppercase variants, punctuation marks, or multi-byte unicode symbols.
  • Confusing substring length with end index when slicing, causing unexpected off-by-one truncations in languages that take length versus exclusive end position.

Which roles need this problem

Strings is a core topic for these 13 roles — if you're targeting one of them, this problem is early in your path, not optional.

Secondary for 7 more roles, including Data Engineer, Data Analyst, Embedded / Firmware Engineer.

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More Strings problems

Problem set and role mapping as of .