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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 #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