Deck 21: Dynamic Programming

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Question
In solving a shortest route problem using dynamic programming the stages represent how many arcs you are from the terminal node.
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Question
Dynamic programming is a general approach with stage decision problems differing substantially from application to application.
Question
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
Question
The solution of stage k of a dynamic programming problem is dependent upon the solution of stage k?1.
Question
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.
Question
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.
Question
Dynamic programming is a general approach rather than a specific technique.
Question
The output of stage k is the input for stage k?1.
Question
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.
Question
Dynamic programming requires that its subproblems be independent of one another.
Question
State variables are a function of a state variable and a decision.
Question
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.
Question
Stage transformation functions

A)are linear.
B)calculate the return.
C)determine the output of the stage.
D)All of the alternatives are true.
Question
Dynamic programming, when used for the shortest route problem, requires complete enumeration of paths from the beginning to ending node.
Question
Dynamic programming must only involve a finite number of decision alternatives and a finite number of stages.
Question
The return function for a shortest route problem refers to two directional arcs between nodes.
Question
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.
Question
If x3 = t4(x4,d4) = x4 ? 2d4 and r4(x4,d4) = 16d4, the subscripts refer to

A)state.
B)stage.
C)transformation.
D)return.
Question
If x3 = t4 (x4,d4) = x4 ? 2d4 and r4(x4,d4) = 16d4 the state variable is

A)t
B)x
C)r
D)d
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Deck 21: Dynamic Programming
1
In solving a shortest route problem using dynamic programming the stages represent how many arcs you are from the terminal node.
True
2
Dynamic programming is a general approach with stage decision problems differing substantially from application to application.
True
3
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
A
4
The solution of stage k of a dynamic programming problem is dependent upon the solution of stage k?1.
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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.
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6
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.
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7
Dynamic programming is a general approach rather than a specific technique.
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8
The output of stage k is the input for stage k?1.
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9
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.
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10
Dynamic programming requires that its subproblems be independent of one another.
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11
State variables are a function of a state variable and a decision.
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12
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.
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13
Stage transformation functions

A)are linear.
B)calculate the return.
C)determine the output of the stage.
D)All of the alternatives are true.
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14
Dynamic programming, when used for the shortest route problem, requires complete enumeration of paths from the beginning to ending node.
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15
Dynamic programming must only involve a finite number of decision alternatives and a finite number of stages.
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16
The return function for a shortest route problem refers to two directional arcs between nodes.
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17
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.
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18
If x3 = t4(x4,d4) = x4 ? 2d4 and r4(x4,d4) = 16d4, the subscripts refer to

A)state.
B)stage.
C)transformation.
D)return.
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19
If x3 = t4 (x4,d4) = x4 ? 2d4 and r4(x4,d4) = 16d4 the state variable is

A)t
B)x
C)r
D)d
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