Add "Sparse Matrix Compression" Algorithm in C++
MQ-06 opened this issue · 4 comments
Detailed description
Description
Sparse matrices are matrices with a majority of zero values. Compressing such matrices optimizes storage and computation, which is essential for various scientific and engineering applications.
Details
- Language: C++
- Operation: Sparse Matrix Compression
- Key Features:
- Identify and store only non-zero elements.
- Support for efficient retrieval of original matrix values.
- Provide both row-major and column-major compression techniques.
Approach
- Create a new file named
SparseMatrixCompression.cpp. - Implement the following methods:
- Compress Sparse Matrix: Store only non-zero elements with their indices.
- Decompress to Original Matrix: Reconstruct the original matrix from the compressed form.
- Add test cases to validate the compression and decompression functions.
References
Context
Benefits
- Reduces memory usage for large sparse matrices.
- Enhances computational efficiency for operations on sparse matrices.
- Useful for solving problems in areas like machine learning, finite element analysis, and computer graphics.
- Provides other users with an optimized, ready-to-use solution for handling large-scale sparse data, improving both performance and scalability in their applications.
Possible implementation
No response
Additional information
No response
This issue has been automatically marked as abandoned because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.
I have made a PR to add this functionality: #2910
This issue has been automatically marked as abandoned because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.
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