If I want to concatenate two matrices A and B, I would do
using Eigen::MatrixXd;
const MatrixXd A(n, p);
const MatrixXd B(n, q);
Ma
I'll add the C++14 version of @ggaels horizcat as an answer. The implementation is a bit sloppy in that it does not consider the Eigen compile-time constants, but in return it's only a two-liner:
auto horizcat = [](auto expr1, auto expr2)
{
auto get = [expr1=std::move(expr1),expr2=std::move(expr2)](auto row, auto col)
{ return col::NullaryExpr(expr1.rows(), expr1.cols() + expr2.cols(), get);
};
int main()
{
Eigen::MatrixXd mat(3, 3);
mat << 0, 1, 2, 3, 4, 5, 6, 7, 8;
auto example1 = horizcat(mat,2*mat);
std::cout << example1 << std::endl;
auto example2 = horizcat(Eigen::MatrixXd::Identity(3,3), mat);
std::cout << example2 << std::endl;
return 0;
}
Note that the code is untested.
That should be appropriate for most applications. However, in case you're using compile-time matrix dimensions and require maximum performance, prefer ggaels answer. In all other cases, also prefer ggaels answer, because he is the developer of Eigen :-)