Homework 9 Practice Questions - Optimization | MATH 0164, Assignments of Optimization Techniques in Engineering

Material Type: Assignment; Class: OPTIMIZATION; Subject: Mathematics; University: University of California - Los Angeles; Term: Winter 2005;

Typology: Assignments

Pre 2010

Uploaded on 08/26/2009

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Math 164, Lecture 2, Vese
Homework #9, due on Friday, March 17,, OR on Monday, March 20
(no late homework accepted after March 20)
Notes:
REMINDER: Final exam on Monday, March 20, 2005, time 3:00pm-6:00pm.
- Sample final practice problems are posted on the class web page.
- All sections and topics are covered for the final. However, more questions will be from the second part
(already covered after the midterm).
Sections covered for the final exam:
- 2.2, 2.3, 3.1, 4.1-4.4, 5.2 (except 5.2.1), 5.2.2 (already covered for the midterm)
- 6.1, 6.2 (proof of Thm. 6.2 not included), 6.2.1,
- Appendices A6, B4, B5, B6, B7.
- 2.3.1, 2.6, 2.7 (except Thm. 2.2), 2.7.1, 3.2
- 10.2, 10.3 (except Thm. 10.1)
- 14.2, 14.3 (only what is presented on page 437, not the discussion on the perturbed problem)
- 14.4 (read also Lemma 14.5, but this Lemma is not included for the final)
- 14.5.1 (just to know the sufficient conditions, and apply them to a specific example)
Problems:
[1] Consider the problem
minimize f(x) = 1
2xTQx cTx
where Qis a positive definite matrix. Prove that Newton’s method will determine the minimizer of fin one
iteration, regardless of the starting point (use Appendix B5 and Thm. 2.1, page 22)
[2] 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.
[3] Solve the problem
maximize f(x) = x1x2x3
subject to x1
a1
+x2
a2
+x3
a3
= 1 (a1, a2, a3>0)
[4] Solve the problem: Minimize f(x1, x2) = 1
2x2
1+x2
2subject to
2x1+x22
x1x21
x10.
1

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Math 164, Lecture 2, Vese Homework #9, due on Friday, March 17,, OR on Monday, March 20 (no late homework accepted after March 20)

Notes: REMINDER: Final exam on Monday, March 20, 2005, time 3:00pm-6:00pm.

  • Sample final practice problems are posted on the class web page.
  • All sections and topics are covered for the final. However, more questions will be from the second part (already covered after the midterm). Sections covered for the final exam:
  • 2.2, 2.3, 3.1, 4.1-4.4, 5.2 (except 5.2.1), 5.2.2 (already covered for the midterm)
  • 6.1, 6.2 (proof of Thm. 6.2 not included), 6.2.1,
  • Appendices A6, B4, B5, B6, B7.
  • 2.3.1, 2.6, 2.7 (except Thm. 2.2), 2.7.1, 3.
  • 10.2, 10.3 (except Thm. 10.1)
  • 14.2, 14.3 (only what is presented on page 437, not the discussion on the perturbed problem)
  • 14.4 (read also Lemma 14.5, but this Lemma is not included for the final)
  • 14.5.1 (just to know the sufficient conditions, and apply them to a specific example)

Problems:

[1] Consider the problem

minimize f (x) =

xT^ Qx − cT^ x

where 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 (use Appendix B5 and Thm. 2.1, page 22)

[2] 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.

[3] 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)

[4] Solve the problem: Minimize f (x 1 , x 2 ) = 12 x^21 + x^22 subject to

2 x 1 + x 2 ≥ 2 x 1 − x 2 ≤ 1 x 1 ≥ 0.