Optimization Techniques Homework Set 2: Finding Stationary Points and Testing Optimality -, Assignments of Aerospace Engineering

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.

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Pre 2010

Uploaded on 02/13/2009

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x x x
x
T T T
T
i) ii) iii)
AOE 5244
Optimization Techniques
HW Set 2
1 2 2 2
1212
1 2 4
11 2 2 2
1 2 1 2 1 2 1
2
1 2
1 2 1 2
1 2 2 2
1
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
1. Consider the function
( ) 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)
2. Consider the function
( ) + + (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)
3. Consider the (linearly) constrained minimization problem of
min ( ) = + + (1 2)( ) 1 1
1 0
subject to
= 1
Find all stationary points and discuss their optimality.
4. Consider the (nonlinearly) constrained minimization problem of minimiz-
ing the function
( ) 1(1 )
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 ?
1

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x x x

x

T T T

T

[ ] ( )

i) ii) iii)

AOE 5244

Optimization Techniques

HW Set 2

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

  1. Consider the function

( ) 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. Consider the function

( ) + + (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)

  1. Consider the (linearly) constrained minimization problem of

min ( ) = + + (1 2)( )

subject to = 1

Find all stationary points and discuss their optimality.

  1. Consider the (nonlinearly) constrained minimization problem of minimiz- ing the function ( ) 1(1 )

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?