The following works in Eigen 3.2.1: VectorXf x = VectorXf::Random(48); MatrixXf A = MatrixXf::Random(48, 6); A.applyOnTheLeft(x.transpose()); This continuation, which looks equivalent, trips assertions in DenseBase<Derived>::lazyAssign: ArrayXXf B = ArrayXXf::Random(48, 6); B.matrix().applyOnTheLeft(x.transpose()); Originally reported in http://listengine.tuxfamily.org/lists.tuxfamily.org/eigen/2014/05/msg00021.html in which Christoph gave some insight: --8<-- This does work: B = (x.transpose()*B.matrix()).eval(); I seems the problem is that assigning a product to an array does not set the NeedEvalBeforeAssignment flag (which generally is not required for Array operations). This leads to B getting resized before the product is evaluated which evidently is a problem. I'd say this is a bug in Eigen, not a usage error on your side! The problem with B.matrix().applyOnTheLeft(...) and similar is that .matrix() expressions are writable but not resizable -- I'm not sure if this is by design. But it is similar to Maps which are not resizable either: // only works if no resizing is needed: Map<MatrixXf>(data, 48, 6).applyOnTheLeft(...); We could make a more clear run-time assertion message for these cases. E.g. "Operation requires resizing a non-resizable expression" --8<-- The continuation of that thread, including Christoph's comments, might require going to http://listengine.tuxfamily.org/lists.tuxfamily.org/eigen/2014/06/maillist.html as the month changed in the interim.
I'm not sure we want to enable resizing of A.matrix(). However the following have to work: B = (x.transpose()*B.matrix()); and it probably already does in the evaluator branch.
I added a regression test for the previous example: https://bitbucket.org/eigen/eigen/commits/899f757819d6 and I'd say wontfix for 3.2
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