I’m developing a linear solver for an optimization solver that requires a scaled constraint matrix. I am solving an LP, so the constraint matrix is constant. I would like to be able to scale the constraints within the optimization solver, so each row in the matrix has norm 1. Currently I’m doing it within the linear solver
I would like to be doing this in JuMP instead so it only needs to be done once. Is there an efficient way to do this?