Closed aaryaanshh closed 1 month ago
@Ajay-Dhangar Sir kindly assign me this under gssoc 2024.
Hi @aaryaanshh! Thanks for opening this issue. We appreciate your contribution to this open-source project. Your input is valuable and we aim to respond or assign your issue as soon as possible. Thanks again!
Hello @aaryaanshh! Your issue #3803 has been closed. Thank you for your contribution!
Is there an existing issue for this?
Feature Description
Describe the new feature or enhancement you'd like to see: I propose adding documented solutions for the following LeetCode problems to the project repository:
Problem 308: Range Sum Query 2D - Mutable Problem 310: Minimum Height Trees Problem 311: Sparse Matrix Multiplication This involves providing clear, commented code solutions along with explanations of the approaches used for each problem.
Use Case
Use Case for Problem 308 (Range Sum Query 2D - Mutable):
Efficiently handling dynamic updates and queries on a 2D matrix, which is useful in scenarios where matrix data frequently changes and requires real-time querying. Implementing data structures for optimized range queries and updates, applicable in various applications like gaming, financial modeling, and dynamic data analysis. Use Case for Problem 310 (Minimum Height Trees):
Finding the optimal nodes (roots) in a tree structure that minimize the maximum distance to all other nodes, which is valuable in network design and hierarchical structures. Enhancing algorithms for graph theory problems where balancing and optimizing tree heights are required. Use Case for Problem 311 (Sparse Matrix Multiplication):
Performing efficient matrix multiplication on sparse matrices where most elements are zero, optimizing performance for large-scale matrix operations. Useful in scientific computing, machine learning, and data analytics where operations on sparse data are common.
Benefits
Practical Solutions: Provides practical implementations for handling dynamic 2D matrix queries, optimizing tree structures, and performing sparse matrix multiplications. Educational Resource: Enhances project documentation with detailed examples of advanced data structures, tree algorithms, and matrix operations. Community Engagement: Encourages knowledge sharing and contributions, fostering a stronger developer community around complex algorithmic problems.
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Priority
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