Added Sparse Matrix multiplication implementation (#2903)

[vrtarimala]

Description of Change

This PR implements the Sparse Matrix Compression and Decompression functionality using C++ with support for:

1. Row-Major Order Compression: Compressing non-zero elements row by row.
2. Column-Major Order Compression: Compressing non-zero elements column by column.
3. Efficient retrieval of non-zero elements using std::map

The program includes:

• Compression: Storing non-zero elements with their indices in row-major and column-major orders.
• Decompression: Reconstructing the original matrix from the compressed form.
• Efficient retrieval: Allows direct access to matrix elements via coordinates.

Checklist

• Added description of change
• Added file name matches File name guidelines
• Added tests and example, test must pass
• Relevant documentation/comments are added
• PR title follows semantic commit guidelines
• I acknowledge that all my contributions will be made under the project's license.

Notes

• The implementation includes multiple test cases to validate the correctness of both compression and decompression methods.
• The program uses std::map to store and retrieve matrix elements efficiently, making it scalable for larger matrices.