Optimize Ternary Search with adaptive precision and binary fallback#13629
Closed
faizan842 wants to merge 1 commit intoTheAlgorithms:masterfrom
Closed
Optimize Ternary Search with adaptive precision and binary fallback#13629faizan842 wants to merge 1 commit intoTheAlgorithms:masterfrom
faizan842 wants to merge 1 commit intoTheAlgorithms:masterfrom
Conversation
…lback - Add adaptive precision calculation based on array size - Implement binary search fallback instead of linear search (O(log n) vs O(n)) - Add optimized versions: ite_ternary_search_optimized() and rec_ternary_search_optimized() - Memoize calculations for one_third and two_third to reduce redundant computation - Add early termination conditions for better performance - Keep original functions for backward compatibility Performance improvements: - Adaptive precision: 3-10 based on array size vs fixed 10 - Binary search fallback: O(log n) vs O(n) for small ranges - Reduced redundant calculations through memoization - Better handling of edge cases and empty arrays All tests pass and maintain backward compatibility.
Closing this pull request as invalid@faizan842, this pull request is being closed as none of the checkboxes have been marked. It is important that you go through the checklist and mark the ones relevant to this pull request. Please read the Contributing guidelines. If you're facing any problem on how to mark a checkbox, please read the following instructions:
NOTE: Only |
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
1 participant
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
This PR adds an optimized ternary search with adaptive precision, binary search fallback for small ranges, and memoized calculations. Keeps original functions and adds doctests for the optimized variants.
Checklist:
CONTRIBUTING.md.print()/input()in library code.ruffpasses locally (ruff check).Tests/notes: