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A set of optimization problems for a university-level course in optimization techniques. Students are asked to find stationary points for functions and test their optimality using the gradient and hessian. The document also includes problems involving linearly and nonlinearly constrained minimization.
Typology: Assignments
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x x x
x
T T T
T
i) ii) iii)
1 2 2 21 2 1 2
1 2 4 1 1 2 2
2
1 2 1 2 1 2 1 2
1 2
1 2 1 2
(^1 2 2 )
F x , x x x x
F x , x x x x x
F x , x x x / x , x x x
x x.
F x , x x
c x , x x x
( ) 100( ) + (1 )
Form the expressions for the gradient and the Hessian. Test the optimality of the following points:
ˆ = (0 0) ˆ = (1 1) ˆ = (1 0)
( ) + + (1 + )
Form the expressions for the gradient and the Hessian.
i. Test the optimality of the origin.
ii. Test the optimality of ˆ = ( 6959 1 3479)
min ( ) = + + (1 2)( )
subject to = 1
Find all stationary points and discuss their optimality.
subject to the constraint
( ) ( ) = 0
Find stationary points for the Lagrangian and test the projected Hession (of the Lagrangian) for definiteness. What points, if any are local minimizers?