Math 164 Lecture 2: Convex Sets and Linear Programming, Assignments of Optimization Techniques in Engineering

Information about lecture 2 of math 164, including homework assignment #3 due date, office hours, and problem sets. The problems cover topics such as convex sets, feasible directions, and linear programming. Students are encouraged to solve as many problems as they can from the textbook and review sections 3.1 and 4.1.

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Pre 2010

Uploaded on 08/26/2009

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Math 164, Lecture 2, Vese
Homework #3, due on Wednesday, October 19, 2005
Remarks:
each time, solve as many problems as you can from the textbook
review Sections 3.1 and 4.1 from the textbook.
T. A. Tristan Roy new office hours: Tuesdays 2-3pm (right after D.S.)
[1] Consider a feasible region Sdefined by a set of linear constraints
S={x:Ax b},
where Ais an m×nmatrix and bis a column vector.
(a) Prove that Sis convex.
(b) Derive the conditions that must be satisfied by a feasible direction p
at a point xS.
[2] Consider the problem
minimize f(x)
subject to x1+ 2x2+ 3x3= 6, x10, x20, x30.
Find the sets of all feasible directions at points xa= (0,0,2)T,xb=
(3,0,1)T, and xc= (1,1,1)T.
[3] Solve the following linear program graphically:
minimize
z= 3x1+x2,
subject to
x1x21,
3x1+ 2x212,
2x1+ 3x23,
2x1+ 3x29,
x1, x20.
1

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Math 164, Lecture 2, Vese Homework #3, due on Wednesday, October 19, 2005

Remarks:

  • each time, solve as many problems as you can from the textbook
  • review Sections 3.1 and 4.1 from the textbook.
  • T. A. Tristan Roy new office hours: Tuesdays 2-3pm (right after D.S.)

[1] Consider a feasible region S defined by a set of linear constraints

S = {x : Ax ≤ b},

where A is an m × n matrix and b is a column vector. (a) Prove that S is convex. (b) Derive the conditions that must be satisfied by a feasible direction p at a point x ∈ S.

[2] Consider the problem minimize f (x) subject to x 1 + 2x 2 + 3x 3 = 6, x 1 ≥ 0 , x 2 ≥ 0 , x 3 ≥ 0. Find the sets of all feasible directions at points xa = (0, 0 , 2)T^ , xb = (3, 0 , 1)T^ , and xc = (1, 1 , 1)T^.

[3] Solve the following linear program graphically: minimize z = 3x 1 + x 2 , subject to

x 1 − x 2 ≤ 1 , 3 x 1 + 2x 2 ≤ 12 , 2 x 1 + 3x 2 ≤ 3 , − 2 x 1 + 3x 2 ≥ 9 , x 1 , x 2 ≥ 0.