Question: Problem Title: Sum of Subsets Using Backtracking Problem Description: Given a sum of subsets problem where W = 7 and w = [ 2 ,

Problem Title: Sum of Subsets Using Backtracking
Problem Description: Given a sum of subsets problem where W=7 and w=[2,3,4,5], solve this problem using the backtracking method to find all possible solutions. When following the pseudocode below, you need to determine:
The total number of nodes generated in the state space tree during the execution of the algorithm
The number of solutions found when executing this backtracking approach
The following code implements the sum of subsets algorithm:
void sum_of_subsets(index i, int weight, int total){ if(promising(i)) if (weight == W) cout include[1] through include[i]; else{ include[i+1]="yes"; sum_of_subsets(i+1, weight+w[i+1],total-w[i+1]); include[i+1]="no"; sum_of_subsets(i+1, weight,total-w[i+1]); }} bool promising(index i){ return(weight+total>=W)&&(weight == W ||weight+w[i+1]=W); }
Note that during the execution of sum_of_subsets, we define that one node is generated each time we make a decision about including or excluding an element.
Questions to answer:
Total number of nodes =_______
Number of solutions =_______
Additional Context:
The problem uses backtracking to find all possible combinations of the given weights that sum to the target value W
The promising function is used to determine whether a partial solution is worth exploring further
Each node in the state space tree represents a decision point in the algorithm
Please provide your answers with detailed explanations showing your reasoning process. ```
void sum_of_subsets(index i, int weight, int total)
{
if(promising(i))
if (weight == W)
cout include[1] through include[i];
else{
include[i+1]="yes";
sum_of_subsets(i+1, weight+w[i+1],total-w[i+1]);
include [i+1]="no";
sum_of_subsets(i+1, weight,total-w[i+1]);
}
}
bool promising(index i){
return(weight+total>=W) &&(weight == W ||weight+w[i+1]=W);
}
```
Problem Title: Sum of Subsets Using Backtracking

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