Homework 9 Unsolved Questions for 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;

Typology: Assignments

Pre 2010

Uploaded on 08/30/2009

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Math 164: Homework #9, due on Wednesday, June 3rd or Friday, June 5
[1] Solve the problem: Minimize f(x1, x2) = 1
2x2
1+x2
2subject to
2x1+x22
x1x21
x10.
[2] Let Abe an m×nmatrix whose rows are linearly independent. Prove that there exists
a vector psuch that Ap =e1, where e1= (1,0,0, ..., 0)T.
[3] Consider the bound-constrained problem
minimize f(x)
subject to lxu,
where l, u are vectors of lower and upper bounds, such that l < u. Let xbe a local
minimizer. Show that:
if x,i =li, then ∂f(x)
∂xi0,
if x,i =ui, then ∂f(x)
∂xi0,
if li< x,i < ui, then ∂f(x)
∂xi= 0.
[4] Use the optimality conditions for nonlinear equality constraints to find all local solutions
to the problem
minimize f(x) = x2
1+x2
2
subject to 2x2
1+x2
2= 4.
[5] Use the optimality conditions for nonlinear inequality constraints to find all local solutions
to the problem
minimize f(x) = x1+x2
subject to (x11)2+x2
22
(x1+ 1)2+x2
22
1

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Math 164: Homework #9, due on Wednesday, June 3rd or Friday, June 5

[1] 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.

[2] Let A be an m × n matrix whose rows are linearly independent. Prove that there exists a vector p such that Ap = e 1 , where e 1 = (1, 0 , 0 , ..., 0)T^.

[3] Consider the bound-constrained problem minimize f (x) subject to l ≤ x ≤ u, where l, u are vectors of lower and upper bounds, such that l < u. Let x∗ be a local minimizer. Show that: if x∗,i = li, then ∂f ∂x^ (xi∗ )≥ 0, if x∗,i = ui, then ∂f ∂x^ (xi∗ )≤ 0, if li < x∗,i < ui, then ∂f ∂x^ (xi∗ )= 0.

[4] Use the optimality conditions for nonlinear equality constraints to find all local solutions to the problem minimize f (x) = −x^21 + x^22 subject to 2x^21 + x^22 = 4.

[5] Use the optimality conditions for nonlinear inequality constraints to find all local solutions to the problem minimize f (x) = x 1 + x 2 subject to (x 1 − 1)^2 + x^22 ≤ 2 (x 1 + 1)^2 + x^22 ≥ 2