Which one is the key thing in backtracking? Insertion Recursion Submission   In what manner is a state-space tree for a backtracking algorithm constructed? Depth-first search Breadth-first search Twice around the tree Nearest neighbour first   What does the following function do? int fun(int x, int y) {     if (y == 0)   return 0;     return (x + fun(x, y-1)); } x + y x + x*y x*y xy

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
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Which one is the key thing in backtracking?

Insertion

Recursion

Submission

 

In what manner is a state-space tree for a backtracking algorithm constructed?

Depth-first search

Breadth-first search

Twice around the tree

Nearest neighbour first

 

What does the following function do?

int fun(int x, int y)

{

    if (y == 0)   return 0;

    return (x + fun(x, y-1));

}

x + y

x + x*y

x*y

xy

 

 

Consider the following recursive function fun(x, y). What is the value of fun(4, 3)

int fun(int x, int y)

{

  if (x == 0)

    return y;

  return fun(x - 1,  x + y);

}

10

9

13

12

 

Predict output of following program

 

16

4

Runtime Error

8

 

Assume you have the following backtracking based sorting algorithm:
bool Backtracking_Sort(sorted_list, unsorted_list, index, length) {
    if (index == length) {
        return true;
    }
    Potential_values = []; 
    If (index != 0) {
Potential_values = get_larger_unused_values(sorted_list, unsorted_list, index);
} else {
    Potential_values = copy(unsorted_list);
}
    While(NotEmpty(potential_values) {
        Next_value = Choose_Random_Element(potential_values);
        Sorted_list[index] = next_value;
        If(Backtracking_Sort(sorted_list, unsorted_list, index + 1, length) == true){
            Return true;

Potential_Values.Remove(next_value);
    }
    return false;
}

Assume that you have an array of length 20, what is the base case for this recursive algorithm?

When Index = 19

When Index == 20

When Index = 21

When Index == 0

When Index = 10

 

What is the “dead end” condition in this algorithm which forces the backtrack?

 

When index == length

When NotEmpty(potential_values) is true

When Index != 0

When Index == 0

When NotEmpty(potential_values) is false

 

Assume you have the unsorted list [10, 3, 9, 5, 8] and have a partially created sorted list equal to [3, 8] index==2, what are the potential values for the next value in the sorted list?

9

10

9, 10

5, 3, 8

10, 9, 5, 8

 

Assume you have a list of 100 elements, in the first call of the algorithm how many potential candidates are there for the first element of the sorted list?

100

50

99

101

98

 

Which of the following lines of code prevents the algorithm from choosing already explored candidate values twice?

Next_value = Choose_Random_Element(potential_values);

Potential_values = get_larger_unused_values(sorted_list, unsorted_list, index);

Sorted_list[index] = next_value;

Potential_values = copy(unsorted_list)

Potential_Values.Remove(next_value); 

 

 

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