Consider the optimization problem of minimizing a function f(x) over a standard from polyhedron. When f(x) is linear, one method of solution is to employ the Primal Path Following Algorithm (discussed in class and in Section 9.4 of the textbook). Now, suppose f(x) is not linear, but is twice continuously differentiable. Can the same algorithm still be used to solve this new problem? Carefully discuss some possible outcome