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The in-house LU Sparse solver does not do numerical pivoting for performance optimization. It assumes that the matrix is always diagonal major.
However, this assumption does not hold for certain real-world state estimation cases. This results in Sparse Matrix Error where the system is actually perfectly observable and solvable.
To Reproduce
Run the test cases introduced in #852 and #854 . See that they run as expected fail (xfail) instead of pass.
TonyXiang8787
changed the title
[BUG] *descriptive_name*
[BUG] Sparse Matrix Error in some state estimation cases due to lack of numerical pivoting in the LU sparse solver
Dec 6, 2024
Describe the bug
The in-house LU Sparse solver does not do numerical pivoting for performance optimization. It assumes that the matrix is always diagonal major.
However, this assumption does not hold for certain real-world state estimation cases. This results in Sparse Matrix Error where the system is actually perfectly observable and solvable.
To Reproduce
Run the test cases introduced in #852 and #854 . See that they run as expected fail (
xfail
) instead of pass.Expected behavior
The test cases introduced in #852 and #854 pass
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