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

No,due to continuously double differentiable,this algorithm will not solve this problem as function is linear.  

typically if you want , you would actually put questions here for us to you. but hey, that's just me. maybe someone will magically answer the questions for you without knowing what they are.

the system of inequity is

step-by-step explanation:

from the given graph it is noticed that we have two related lines. one is solid and another is dashed.

if a line passing through two points, then the equation of line is

the solid line passing through the points (0,4) and (4,0).

the related equation of solid line is .

similarly, find the related equation of dashed line. the dashed liune passing through the points (0,0) and (3,1).

the related equation of dashed line is

from the given graph it is noticed that the point (0,1) lies on the shaded region, therefore the point (0,1) must be satisfied by the related equations.

check the related equations by the point (0,1).

this statement is true if the sign of inequality is < instead of equality. since it is an solid line therefore the sign of inequality will be . the required inequality is

similarly, check the second related equation.

it is a dashed line, so this statement is true if the sign of inequality is > . the required inequality is