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Retry LU decomposition if incremental mode fails #1108
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vidaldid-rte
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Retry LU decomposition if incremental mode fails
[WIP] Retry LU decomposition if incremental mode fails
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vidaldid-rte
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[WIP] Retry LU decomposition if incremental mode fails
Retry LU decomposition if incremental mode fails
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src/test/java/com/powsybl/openloadflow/equations/LUDecompositionTest.java
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Signed-off-by: Didier Vidal <didier.vidal_externe@rte-france.com>
…update Signed-off-by: Didier Vidal <didier.vidal_externe@rte-france.com>
Signed-off-by: Didier Vidal <didier.vidal_externe@rte-france.com>
Signed-off-by: Didier Vidal <didier.vidal_externe@rte-france.com>
Signed-off-by: Didier Vidal <didier.vidal_externe@rte-france.com>
…ple apparently care about sonar stats of so called issues Signed-off-by: Didier Vidal <didier.vidal_externe@rte-france.com>
Signed-off-by: Didier Vidal <didier.vidal_externe@rte-france.com>
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Please check if the PR fulfills these requirements
Does this PR already have an issue describing the problem?
No
What kind of change does this PR introduce?
Bug Fix
What is the current behavior?
In some rare cases, the NR fails with a MatrixException - klu_refactor error KLU_SINGULAR
This happens when the Jacobian Matrix uptes the LU in incremental mode.
But, in those cases, if the LU matrix is updated in non incremental mode the operation succeeds.
At this time, this has only be seen in large model and it has not been possible to isolate a simple case with the issue.
What is the new behavior (if this is a feature change)?
When the Jacobian updates occurs in incremental mode, if the LU update fails a second try is attempted in non incremental mode.
Does this PR introduce a breaking change or deprecate an API?
If yes, please check if the following requirements are fulfilled
What changes might users need to make in their application due to this PR? (migration steps)
Other information: