# linear programming - variable satisfies non-zero lowerbound or zero

I have a linear programming problem of the form

$$\max_{x_1,\ldots,x_N} \mathbf{c}^T\mathbf{x}$$
such that

$$\mathbf{Ax}\leq \mathbf{b}$$ and
($$x_{\text{min}}\leq x_i\leq x_{\text{max}}$$ or $$x_i=0$$)

where $$x_{\text{max}}, x_{\text{min}} > 0$$

So the catch is that I want to allow an interval plus a point value for variables $$x_i$$

Is this still solvable using standard LP solvers?

Thanks for the help

This is called a semicontinuous variable and can be modeled with mixed-integer programming (MIP), more specifically as $$z_ix_{min}\leq x_i\leq z_ix_{max}$$ where $$z_i$$ are binary variables ($$z_i\in\{0,1\}$$). Most popular LP solvers are also MIP solvers, but you should keep in mind that solving a MIP to optimality is much harder (slower) than solving an LP. Some solvers will also allow you to declare a semicontinuous variable without explicitly declaring the auxiliary binary variable.