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DSA Typescriptprogramming~10 mins

Palindrome Partitioning Using Backtracking in DSA Typescript - Execution Trace

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Concept Flow - Palindrome Partitioning Using Backtracking
Start with empty partition
Choose substring from current index
Check if substring is palindrome?
NoDiscard substring, try next
Yes
Add substring to current partition
Recurse from next index
If end of string reached
Save current partition
Backtrack: remove last substring
Back to choose next substring
We try all substrings from the current position, check if palindrome, add to partition, recurse, and backtrack to explore all partitions.
Execution Sample
DSA Typescript
function backtrack(start: number, path: string[]) {
  if (start === s.length) {
    result.push([...path]);
    return;
  }
  for (let end = start; end < s.length; end++) {
    if (isPalindrome(s, start, end)) {
      path.push(s.substring(start, end + 1));
      backtrack(end + 1, path);
      path.pop();
    }
  }
}
This code tries all substrings starting at 'start', adds palindrome substrings to path, recurses, and backtracks to find all palindrome partitions.
Execution Table
StepOperationCurrent IndexSubstring CheckedIs Palindrome?Current PartitionAction
1Start backtrack0--[]Begin with empty partition
2Check substring0aYes[]Add 'a' to partition
3Recurse1--['a']Go deeper from index 1
4Check substring1aYes['a']Add 'a' to partition
5Recurse2--['a','a']Go deeper from index 2
6Check substring2bYes['a','a']Add 'b' to partition
7Recurse3--['a','a','b']Reached end, save partition
8Backtrack3--['a','a','b']Remove 'b'
9Backtrack2--['a','a']Remove 'a'
10Check substring1abNo['a']Discard 'ab'
11Backtrack1--['a']Remove 'a'
12Check substring0aaYes[]Add 'aa' to partition
13Recurse2--['aa']Go deeper from index 2
14Check substring2bYes['aa']Add 'b' to partition
15Recurse3--['aa','b']Reached end, save partition
16Backtrack3--['aa','b']Remove 'b'
17Backtrack2--['aa']Remove 'aa'
18Check substring0aabNo[]Discard 'aab'
19End---[]All partitions found, stop
💡 Reached end of string at step 7 and 15, saved partitions; no more substrings to check at step 19
Variable Tracker
VariableStartAfter Step 2After Step 5After Step 7After Step 8After Step 12After Step 15Final
start0123323-
path[]['a']['a','a']['a','a','b']['a','a']['aa']['aa','b'][]
result[][][][['a','a','b']][['a','a','b']][['a','a','b']][['a','a','b'], ['aa','b']][['a','a','b'], ['aa','b']]
Key Moments - 3 Insights
Why do we backtrack by removing the last substring after recursion?
Because after exploring partitions including that substring, we must remove it to try other substrings starting at the same index (see steps 7 to 8 and 15 to 16 in execution_table).
Why do we only add substrings that are palindromes?
Because the problem requires partitions where every substring is a palindrome. Non-palindromes are discarded immediately (see step 10 and 18).
How do we know when to save the current partition?
When the current index reaches the end of the string (step 7 and 15), the current partition is complete and saved.
Visual Quiz - 3 Questions
Test your understanding
Look at the execution_table, what is the current partition at step 5?
A['a']
B['a','a']
C['a','a','b']
D[]
💡 Hint
Check the 'Current Partition' column at step 5 in execution_table
At which step does the algorithm discard the substring 'ab'?
AStep 10
BStep 12
CStep 18
DStep 2
💡 Hint
Look for 'Discard' action and substring 'ab' in execution_table
If the input string was 'aaa', how would the number of saved partitions change compared to the current execution?
AIt would increase
BIt would decrease
CIt would stay the same
DIt would be zero
💡 Hint
Consider more palindrome substrings possible in 'aaa' compared to 'aab' in variable_tracker
Concept Snapshot
Palindrome Partitioning Using Backtracking:
- Try all substrings from current index
- Check if substring is palindrome
- If yes, add to current partition and recurse
- If reach end, save partition
- Backtrack by removing last substring to try others
- Explore all palindrome partitions of the string
Full Transcript
This visualization shows how palindrome partitioning uses backtracking. We start from index 0 with an empty partition. We check every substring from the current index. If the substring is a palindrome, we add it to the current partition and recurse from the next index. When we reach the end of the string, we save the current partition as a valid solution. Then we backtrack by removing the last substring to try other substrings. Non-palindrome substrings are discarded immediately. This process continues until all partitions are found. The execution table tracks each step, substring checked, palindrome check, current partition, and actions taken. The variable tracker shows how the start index, current path, and result list change over time. Key moments clarify why backtracking is needed, why only palindromes are added, and when partitions are saved. The quiz tests understanding of partition states, substring discards, and effects of input changes.