Name: 
 

Ch17 Dynamic Programming



Multiple Choice
Identify the choice that best completes the statement or answers the question.
 

 1. 

Stages of a dynamic programming solution procedure
a.
represent parts of a large mathematical model.
b.
often represent a sequence of decisions made over time.
c.
are usually not independent of each other.
d.
All of the alternatives are true.
 

 2. 

State variables in a shortest route problem represent
a.
decisions.
b.
locations in the network.
c.
the minimum distance between nodes.
d.
None of the alternatives is true.
 

 3. 

The stage transformation function
a.
transforms the input into the output.
b.
transforms a stage into a state.
c.
is a different function for each stage.
d.
None of the alternatives is true.
 

 4. 

Stage transformation functions
a.
are linear.
b.
calculate the return.
c.
determine the output of the stage.
d.
All of the alternatives are true.
 

 5. 

A return function is a value such as profit or loss associated with making decision dn at:
a.
stage n for specific value of output variable xn.
b.
stage n for a specific value of input variable xn.
c.
stage n for a specific value of stage m.
d.
input n for a specific value of output variable xn.
 

 6. 

If x3 = t4 (x4,d4) = x4 - 2d4 and r4(x4,d4) = 16d4 the state variable is
a.
t
b.
x
c.
r
d.
d
 

 7. 

If x3 = t4(x4,d4) = x4 - 2d4 and r4(x4,d4) = 16d4, the stage transformation function is
a.
t
b.
x
c.
r
d.
d
 

 8. 

If x3 = t4(x4,d4) = x4 - 2d4 and r4(x4,d4) = 16d4, the subscripts refer to
a.
state.
b.
stage.
c.
transformation.
d.
return.
 

 9. 

The knapsack problem is to determine how many units of each item to place in the knapsack to:
a.
minimize total value.
b.
maximize total value.
c.
minimize the number of items in the knapsack.
d.
maximize the number of items in the knapsack.
 

 10. 

Solutions in dynamic programming
a.
are not optimal.
b.
are unique.
c.
represent each stage.
d.
All of the alternatives are true.
 



 
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