Doc: explain perf and multithreading issues in sparse iterative solvers
diff --git a/doc/TopicMultithreading.dox b/doc/TopicMultithreading.dox
index e22e1c6..66028d7 100644
--- a/doc/TopicMultithreading.dox
+++ b/doc/TopicMultithreading.dox
@@ -22,8 +22,12 @@
You can disable Eigen's multi threading at compile time by defining the EIGEN_DONT_PARALLELIZE preprocessor token.
Currently, the following algorithms can make use of multi-threading:
- * general matrix - matrix products
- * PartialPivLU
+ - general dense matrix - matrix products
+ - PartialPivLU
+ - row-major-sparse * dense vector/matrix products
+ - ConjugateGradient with \c Lower|Upper as the \c UpLo template parameter.
+ - BiCGSTAB with a row-major sparse matrix format.
+ - LeastSquaresConjugateGradient
\section TopicMultiThreading_UsingEigenWithMT Using Eigen in a multi-threaded application