[eigen] SelfAjointView::ldlt() |
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Hello, A have a symmetric matrix M with meaningful upper triangular
part and arbitrary strict lower triangular part (in my case it is zero). I use
development branch function M.selfadjointView<Eigen::UpperTriangular>().rankUpdate (values) at a previous step instead of
Eigen2 M.part<Eigen::SelfAdjoint>()
+= values * values.transpose() one. I would
like to use Cholesky decomposition. When I call Eigen::LDLT<Matrix> ldltOfM =
M.selfadjointView<Eigen::UpperTriangular>().ldlt(), a linker
issues the error message: “unresolved external symbol SelfAjointView<>::ldlt()”.
There is reference “Cholesky module” before SelfAjointView::ldlt()
member declaration, but I have not fond the implementation. What is wrong? Thanks, Oleg Shirokobrod ___________________________________________________________________________ This e-mail is confidential and is for the addressee only. Please refer to www.oxinst.com/email-statement for regulatory information. |
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