Taking rows and columns is still nice in Eigen. For example taking the second column of a matrix is m.col(1) (Eigen, 0-based indexing) and m(:,2) (Fortran, 1-ba

Taking rows and columns is still nice in Eigen. For example taking the second column of a matrix is m.col(1) (Eigen, 0-based indexing) and m(:,2) (Fortran, 1-based indexing unless specified something else). But more generic array slicing with strides seems to get nasty in Eigen. For example if v2 = v(1:2:20) is Map<RowVectorXf,0,InnerStride<2> > v2(v.data(), v.size()/2); in Eigen, I don't want to read the docs for how to do the same for 2- or 3-dimensional arrays. https://eigen.tuxfamily.org/dox/group__TutorialReshapeSlicing.html https://eigen.tuxfamily.org/dox/group__TutorialReshapeSlicin...