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🌲 Segment Tree Sum Queries Library 🌲 #1312

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@Rohit-Yadav-Official Rohit-Yadav-Official commented Jan 15, 2024

Welcome to the Segment Tree Sum Queries open-source project on GitHub!

Description:
This project aims to provide a robust and efficient implementation of a segment tree for handling sum queries on an array. Segment trees are powerful data structures that excel in solving range-based queries on arrays, making them suitable for a variety of applications.

Features:

Sum Queries: Quickly compute the sum of elements in a given range.
Update Operations: Efficiently modify individual elements and update the segment tree accordingly.
Easy Integration: Simple to integrate into your projects for efficient range-based computations.

PR Checklist:

  • My submission is formatted according to the guidelines in the contributing guide
  • My addition is on refer on the language README.md file
  • My addition does not have a spelling problem
  • My submission has a proper and user-friendly description of the algorithm
  • My submission has the time complexity of the algorithm
  • My submission has sample input-output of the program (NOT FOR PYTHON)

What kind of change does this PR introduce? (check at least one)

  • Bugfix
  • New algorithm
  • Optimization in previous algorithms
  • Code style update
  • Refactor
  • Documentation
  • Other, please describe:

Briefly describe the changes in this PR

Other information:

Welcome to the Segment Tree Sum Queries open-source project on GitHub!

Description:
This project aims to provide a robust and efficient implementation of a segment tree for handling sum queries on an array. Segment trees are powerful data structures that excel in solving range-based queries on arrays, making them suitable for a variety of applications.

Features:

Sum Queries: Quickly compute the sum of elements in a given range.
Update Operations: Efficiently modify individual elements and update the segment tree accordingly.
Easy Integration: Simple to integrate into your projects for efficient range-based computations.
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2 participants