Implement RowMaximum Pivoting Strategy for Distributed LU Factorization without view
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- **Implemented RowMaximum Pivoting**: Added a new LU factorization strategy using the RowMaximum pivoting method for distributed matrices - **Custom Pivot Search and Swapping**: Introduced helper functions for searching row maxima, updating pivot indices, and swapping rows in both panel and trailing submatrices - **Blockwise Distributed Algorithm**: Ensured compatibility with block-partitioned distributed matrices, supporting only equal block sizes for now - **Non-breaking Addition**: Existing NoPivot LU functionality remains unchanged; RowMaximum is an additional strategy selectable via the LinearAlgebra interface.
… and improve error handling
… improve buffer management
…d singularity checks
…rove performance
…ors for pivot indices and values
… in LU decomposition
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Refactor LU decomposition routines to avoid using
viewwithDArray