Dynamic Programming (Coding): Edit Distance Problem Test

It is the minimum number of operations required to transform one string into another, where each operation can be either an insertion, deletion, or substitution of a single character.

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  • English

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1 Skills measured

  • Dynamic Programming

Test Type

Coding Test

Duration

30 mins

Level

Intermediate

Questions

1

Use of Dynamic Programming (Coding): Edit Distance Problem Test

The edit distance problem, also known as Levenshtein distance, is a classic problem in computer science that measures the similarity between two strings of characters. It is defined as the minimum number of operations required to transform one string into another, where each operation can be either an insertion, deletion, or substitution of a single character.

For example, the edit distance between the strings "kitten" and "sitting" is 3, as the following three operations can transform the first string into the second:

Substitute 'k' with 's' Substitute 'e' with 'i' Insert 'g' at the end

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