Assignment 8 – Optimization | MATH 0164, Assignments of Optimization Techniques in Engineering

Material Type: Assignment; Class: OPTIMIZATION; Subject: Mathematics; University: University of California - Los Angeles; Term: Unknown 1989;

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Math 164: Homework #8, due on Wednesday, May 27
[1] (read Appendix B5) Consider the problem
minimize f(x) = 1
2xTQx cTx.
(a) Write the first-order necessary condition. When does a stationary point of fexist ?
(b) Under what conditions on Qdoes a local minimizer exist ?
(c) If Qis a positive definite matrix, prove that Newton’s method will determine the
minimizer of fin one iteration, regardless of the starting point.
[2] Consider the problem
min
xkAx bk2
2,
where Ais an m×nmatrix with mn, and bis a vector of length m. Assume that the
rank of Ais 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 Aand express the point xas
x=p+q, where pis in the null space of Aand qis in the range space of AT:
A=
1 1 1 1
111 1
0 1 0 1
,x=
1
3
1
2
.
[4] Consider the problem
minimize f(x) = x2
1+x2
1x2
3+ 2x1x2+x4
2+ 8x2
subject to 2x1+ 5x2+x3= 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) = x1x2x3
subject to x1
a1
+x2
a2
+x3
a3
= 1 (a1, a2, a3>0)
1

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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^ :

A =

 

 , 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)