The Longest Balanced Substring I interview question deals with binary strings. You are tasked with finding the length of the longest substring where all the 0s appear strictly before all the 1s, and there is an exact equal number of 0s and 1s. For example, "0011" and "01" are balanced substrings under these rules, whereas "0101" is not, because the 0s and 1s are interspersed.
This string problem is frequently asked because it requires a precise, localized counting approach. Unlike general balanced subarray problems, the strict ordering requirement ("all 0s before 1s") changes the mechanics entirely. Interviewers use this problem to see if you can carefully read requirements, adapt your strategy away from generic templates, and implement a straightforward, bug-free counting logic without over-complicating it.
This problem is best approached using Counting and String Traversal. You don't need complex data structures or DP. Instead, you can simply iterate through the string while keeping track of contiguous blocks of 0s and 1s. When you transition from 0s to 1s, you count how many 1s follow. The length of a valid balanced substring will be twice the minimum of the count of 0s and the count of 1s in that specific contiguous block.
Consider the string "0100011101".
We read through it segment by segment:
"01": one 0, followed by one 1. The balanced part is "01". Length = 2 * min(1, 1) = 2."000111": three 0s, followed by three 1s. The balanced part is "000111". Length = 2 * min(3, 3) = 6. Current max is 6."01": one 0, followed by one 1. Length = 2.
The maximum balanced substring length is 6.
Notice that we reset our zero-counter whenever we hit a new sequence of 0s after reading 1s.A common error is trying to apply the prefix-sum hash-map solution used for generic balanced arrays. That approach ignores the strict ordering constraint (all 0s before 1s) and will incorrectly count substrings like "0101". Another mistake is mismanaging the reset logic when the string transitions from '1' back to '0'—candidates sometimes forget to reset the counters, carrying over historical counts that invalidate the contiguous requirement.
For the Longest Balanced Substring I coding problem, the key is simplicity. Focus on maintaining two distinct counters: zeroes and ones. Practice writing cleanly structured loops where state transitions (like moving from reading 0s to reading 1s, or 1s back to 0s) dictate when to update your maximum answer and when to reset your variables.
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|---|---|---|---|
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