Deck 11: Recursion
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Deck 11: Recursion
1
A good way to think about recursion is a function that calls itself.
False
2
There can be any number of function execution instances of a given recursive function.
True
3
Every properly designed recursive function must conditionally call another execution instance of itself.
True
4
Every time a call a recursive function call is made, the same execution instance is executed.
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5
Every time a call a recursive function call is made, the same execution instance is executed.
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6
A recursive function is a good choice, in practice, for implementation of the factorial function.
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7
Recursive functions may have more than one bast case.
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8
A recursive function is a
A) a function definition that refers to itself, and execution instances calling other execution instances of the same function definition.
B) a function definition that refers to itself, and execution instances calling themselves.
C) a function definition that refers to another function definition, and execution instances calling other function instances of the same function.
D) a function definition that refers to another function definition, and execution instances calling themselves.
A) a function definition that refers to itself, and execution instances calling other execution instances of the same function definition.
B) a function definition that refers to itself, and execution instances calling themselves.
C) a function definition that refers to another function definition, and execution instances calling other function instances of the same function.
D) a function definition that refers to another function definition, and execution instances calling themselves.
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9
The advantage of the use of recursion is that
A) recursive functions execute very quickly
B) recursion functions are memory efficient
C) recursion functions are execution time efficient
D) recursion functions are execution time efficient.
E) it is a powerful problem-solving approach
A) recursive functions execute very quickly
B) recursion functions are memory efficient
C) recursion functions are execution time efficient
D) recursion functions are execution time efficient.
E) it is a powerful problem-solving approach
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10
An improperly designed recursive function may result in a nonterminating sequences of execution instances. This is referred to as ________________________.
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11
Three important characteristics of any recursive function are that there must be at least one base case,problems that are not a base case are broken down into subproblems that are a similar kind of problem as the original problem and work towards the base case, and ______________.
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12
Describe the series of recursive function calls for computing the factorial of 3.
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13
Give a Python recursive function definition for the factorial function.
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14
Describe, in terms of n, what the following recursive function computes.


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15
Describe the output of the following recursive function.
def rfunc(n):
if n == 0:
print('*', end='')
return
else:
print('-', end='')
rfunc(n - 1)
print('-', end='')
def rfunc(n):
if n == 0:
print('*', end='')
return
else:
print('-', end='')
rfunc(n - 1)
print('-', end='')
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16
In recursive problem solving, a problem is broken down into subproblems in which each subproblem must be the same kind of problem as the original.
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17
In recursive problem solving, it is often most effective to break the problem down into equal size subproblems.
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18
MergeSort is a clever, but inefficient, means of recursive problem solving.
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19
The base case in MergeSort is when a sublist is found to be completely sorted.
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20
A recursive function definition may only call itself once from within the definition.
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21
What is the total number of calls to recursive function MergeSort that are made to sort a list of 8 elements?
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22
For the list 10, 7, 3, 12, 18, 20, 4, 15, what will be the ordering of the elements immediately after the first merging of elements occurs?
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23
For the list 6, 11, 21, 32, 5, 14, 9, 19, what will be the ordering of the elements just before the last merging of elements occurs?
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24
What would need to be changed in the MergeSort algorithm (as given in the textbook) so that lists were sorted in descending, rather than ascending order?
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25
Whatever can be computed using recursion can be accomplished by the use of iteration.
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26
When a problem can be solved both recursively and iteratively with similar programming effort, it is generally best to use an iterative approach.
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27
Any problem that can be easily solved with the use of recursion can also be easily solved using iteration.
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