Programmation dynamiqueAdvanced

Palindrome Partitioning

Dynamic programming problem that finds the minimum number of cuts needed to partition a string into palindromic substrings. Uses DP to precompute which substrings are palindromes, then finds optimal cuts. Applications include text segmentation, DNA sequence analysis, and string optimization problems.

#dynamic-programming#strings#palindromes#optimization

Complexity Analysis

Time (Average)

O(n²)

Expected case performance

Space

O(n²)

Memory requirements

Time (Best)

O(n²)

Best case performance

Time (Worst)

O(n²)

Worst case performance

Step: 1 / 0
500ms
SlowFast
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Space Play/Pause StepR Reset1-4 Speed

Real-time Statistics

Algorithm Performance Metrics

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Algorithm Visualization

Step 1 of 0

Initialize array to begin

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Code Execution

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Implementation

Palindrome Partitioning (Min Cuts) - Algorithm Vision