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Material Type: Assignment; Class: OPTIMIZATION; Subject: Mathematics; University: University of California - Los Angeles; Term: Unknown 1989;
Typology: Assignments
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Math 164: Homework #8, due on Wednesday, May 27
[1] (read Appendix B5) Consider the problem
minimize f (x) =
xT^ Qx − cT^ x.
(a) Write the first-order necessary condition. When does a stationary point of f exist? (b) Under what conditions on Q does a local minimizer exist? (c) If Q is a positive definite matrix, prove that Newton’s method will determine the minimizer of f in one iteration, regardless of the starting point.
[2] Consider the problem min x ‖Ax − b‖^22 ,
where A is an m × n matrix with m ≥ n, and b is a vector of length m. Assume that the rank of A is equal to n. (a) Write down the first-order necessary condition for optimality. Is this also a sufficient condition? (b) Write down the optimal solution in closed form.
[3] Compute a basis matrix for the null space of the matrix A and express the point x as x = p + q, where p is in the null space of A and q is in the range space of AT^ :
, x =
.
[4] Consider the problem
minimize f (x) = x^21 + x^21 x^23 + 2x 1 x 2 + x^42 + 8x 2
subject to 2x 1 + 5x 2 + x 3 = 3. (a) Determine which of the following points are stationary points: (i) (0, 0 , 2)T^ ; (ii) (0, 0 , 3)T^ ; (iii) (1, 0 , 1)T (b) Determine whether each stationary point is a local minimizer, a local maximizer or a saddle point.
[5] Solve the problem maximize f (x) = x 1 x 2 x 3
subject to
x 1 a 1
x 2 a 2
x 3 a 3
= 1 (a 1 , a 2 , a 3 > 0)