Please show all work 4. (4 pt) Answer True or False a. A positive definite quadratic...
4.132 Answer True or False. 1. A linear inequality constraint always defines a convex feasible region 2. A linear equality constraint always defines a convex feasible region. 3. A nonlinear equality constraint cannot give a convex feasible region. 4. A function is convex if and only if its Hessian is positive definite everywhere. 5. An optimum design problem is convex if all constraints are linear and the cost function is convex. 6. A convex programming problem always has an optimum...
T/F For Necessary Conditions for General Constrained Problem in Optimum Design 8. While solving an optimum design problem by KKT conditions, each case defined by the switching conditions can have multiple solutions. 9. In optimum design problem formulation, "2 type" constraints cannot be treated. the Lagrange function with respect to design variables. 11. Optimum design points having at least one active constraint give stationary value to the cost function. linearly dependent on the gradients of the active constraint functions 13....
1. Answer True or False for the following questions: (a) A function can have several local minimu in points in a small neighborhood of x*. (b) A function cannot have more than one global minimum point (c) The value of the function having a global minimum at several points must be the same (d) A function defined on an open set cannot have a global minimum (e) The Hessian matrix of a continuously differentiable function can be asymmetric. (f) The...