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Persistent Segment Tree #12185

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Persistent Segment Tree #12185

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putul03
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@putul03 putul03 commented Oct 19, 2024

The persistent segment tree allows us to efficiently query and update an array while preserving previous versions of the array. The primary operations include:

  1. Build Operation: Constructs the segment tree from the given array. Each node represents a range of the array and stores the sum of that range.

  2. Update Operation: When an update is performed, a new version of the segment tree is created without modifying the existing tree. This is achieved by copying the necessary nodes and updating the affected ranges.

  3. Query Operation: To retrieve the sum of a given range, the segment tree is traversed based on the requested indices. The operation can access multiple versions of the tree to return the correct sum for each version.

Time and Space Complexity:

  • Time Complexity:

    • Build Operation: O(n log n), where n is the number of elements in the array. This is because we need to recursively build the tree.
    • Update Operation: O(log n) per update, since we only traverse the necessary nodes to create a new version.
    • Query Operation: O(log n) per query, as we traverse the segment tree to find the required sums.
  • Space Complexity:

    • The space complexity is O(n * log n) for storing multiple versions of the segment tree, where each version contains log n nodes and there can be up to n versions depending on the number of updates.

Describe your change:

  • Add an algorithm?
  • Fix a bug or typo in an existing algorithm?
  • Add or change doctests? -- Note: Please avoid changing both code and tests in a single pull request.
  • Documentation change?

Checklist:

  • I have read CONTRIBUTING.md.
  • This pull request is all my own work -- I have not plagiarized.
  • I know that pull requests will not be merged if they fail the automated tests.
  • This PR only changes one algorithm file. To ease review, please open separate PRs for separate algorithms.
  • All new Python files are placed inside an existing directory.
  • All filenames are in all lowercase characters with no spaces or dashes.
  • All functions and variable names follow Python naming conventions.
  • All function parameters and return values are annotated with Python type hints.
  • All functions have doctests that pass the automated testing.
  • All new algorithms include at least one URL that points to Wikipedia or another similar explanation.
  • If this pull request resolves one or more open issues then the description above includes the issue number(s) with a closing keyword: "Fixes #ISSUE-NUMBER".

@algorithms-keeper algorithms-keeper bot added the awaiting reviews This PR is ready to be reviewed label Oct 19, 2024
@algorithms-keeper algorithms-keeper bot added tests are failing Do not merge until tests pass and removed tests are failing Do not merge until tests pass labels Oct 19, 2024
@putul03 putul03 closed this Oct 19, 2024
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