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⚡ Optimize lexicographic permutations algorithm#3

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performance-optimization-problem-024-10774478497276021077
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⚡ Optimize lexicographic permutations algorithm#3
lourenzo wants to merge 1 commit into
mainfrom
performance-optimization-problem-024-10774478497276021077

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💡 What:
The optimization changes the permute algorithm in src/Problem024LexicographicPermutations.java from a prefix-building String concatenation and substring() slicing approach to an in-place char[] algorithm. Instead of swapping, we use array shifting and backtracking to maintain the lexicographical order as we generate the permutations. We also added an explicit check for the empty string edge case.

🎯 Why:
The performance problem it solves is excessive object allocation. Strings are immutable in Java, so substring and concatenation operations in the recursive loops repeatedly allocate new string objects on the heap. By using a single mutable char[] buffer and only allocating strings at the base case, we save a ton of time and memory.

📊 Measured Improvement:
Baseline time for a 10-character input (without sorting): ~3800 ms.
Optimized time (using the shifting approach): ~481 ms.
This is a nearly 8x speedup, making it significantly more memory and CPU efficient.


PR created automatically by Jules for task 10774478497276021077 started by @lourenzo

…cations

We switched to a single `char[]` buffer and used array shifting and backtracking to generate the permutations in-place while retaining lexicographical ordering.

Measured improvement: Reduced permutation generation time from ~3800ms down to ~480ms on a 10-digit input.

Co-authored-by: google-labs-jules[bot] <161369871+google-labs-jules[bot]@users.noreply.github.com>
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