Fix successful return codes for factorization methods #631
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| end | ||
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| SciMLBase.build_linear_solution(alg, cache.u, nothing, cache) | ||
| SciMLBase.build_linear_solution(alg, cache.u, nothing, cache; retcode = ReturnCode.Success) |
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| SciMLBase.build_linear_solution(alg, cache.u, nothing, cache; retcode = ReturnCode.Success) | |
| SciMLBase.build_linear_solution( | |
| alg, cache.u, nothing, cache; retcode = ReturnCode.Success) |
| be applied to well-conditioned matrices. | ||
| !!! warn | ||
| `NormalCholeskyFactorization` should only be applied to well-conditioned matrices. As a |
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| `NormalCholeskyFactorization` should only be applied to well-conditioned matrices. As a | |
| `NormalCholeskyFactorization` should only be applied to well-conditioned matrices. As a |
| end | ||
| cache.cacheval = fact | ||
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| if hasmethod(LinearAlgebra.issuccess, Tuple{typeof(fact)}) && !LinearAlgebra.issuccess(fact) |
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| if hasmethod(LinearAlgebra.issuccess, Tuple{typeof(fact)}) && !LinearAlgebra.issuccess(fact) | |
| if hasmethod(LinearAlgebra.issuccess, Tuple{typeof(fact)}) && | |
| !LinearAlgebra.issuccess(fact) |
ChrisRackauckas
commented
Jul 14, 2025
Comment on lines
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| # This is a known and documented incorrectness in NormalCholeskyFactorization | ||
| # due to numerical instability in its method that is fundamental. |
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| # This is a known and documented incorrectness in NormalCholeskyFactorization | |
| # due to numerical instability in its method that is fundamental. | |
| # This is a known and documented incorrectness in NormalCholeskyFactorization | |
| # due to numerical instability in its method that is fundamental. |
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Fixes #630 fixes #532