Search⌘ K
AI Features

Palindromic Partitioning

Explore how to minimize cuts in a string to create all palindromic substrings by applying dynamic programming strategies. Understand both naive and optimized recursive, top-down, and bottom-up approaches, and learn to implement solutions that efficiently handle palindromic partitioning problems.

Statement

Suppose you are given a string, s. You need to perform the minimum number of cuts to divide the string into substrings, such that all the resulting substrings are palindromes.

Let’s say you have the following string:

  • “apple”

The resulting substrings after performing the minimum number of cuts are:

  • “a”|“pp”|“l”|“e”

So, a minimum of 33 cuts are required.

Constraints:

  • 11 \leq s.length 103\leq 10^3
  • s consists of only lowercase English characters.

Examples

No.

s

cuts

1

"sleek"

3

2

"adjacent"

7

3

"radar"

0

Try it yourself

Implement your solution in the following coding playground.

JavaScript
usercode > main.js
function minCuts(s) {
// Write your code here
return -1;
}
export { minCuts };
Palindromic Partitioning

Note: If you clicked the “Submit” button and the code timed out, this means that your solution needs to be optimized in terms of running time.

Hint: Use dynamic programming and see the magic. ...

Ask