So, I'm back once again. This week I'm having issues with efficiency in a Radix Sort Algorithm. From what I understand this is the foundation of this algorithm.
What operations might be costing me? For the basics I suppose I do understand push_ back being costly having to copy the entire array.

My code:

``````for(int i=0; i<10; i++){
// goes through from least to most significant
for(int j=0; j<V.size(); j++){
temp=((V[j]/PowValue) % 10);//finds which bucket the value should be placed under
Buckets[temp].push_back(V[j]); //places value into correct bucket
}
//Places values from buckets back into the original vector array
for(int k=0; k<Buckets.size(); k++){
for(int l=0; l<Buckets[k].size(); l++){
V[PosCount]=Buckets[k][l];
PosCount++;
}
Buckets[k].clear();
}
PosCount=0;
PowValue=PowValue*10;
}``````

Once again, any help, suggestion, etc. would be much appreciated.

So, I'm back once again. This week I'm having issues with efficiency in a Radix Sort Algorithm. From what I understand this is the foundation of this algorithm.
What operations might be costing me? For the basics I suppose I do understand push_ back being costly having to copy the entire array.

My code:

``````for(int i=0; i<10; i++){
// goes through from least to most significant
for(int j=0; j<V.size(); j++){
temp=((V[j]/PowValue) % 10);//finds which bucket the value should be placed under
Buckets[temp].push_back(V[j]); //places value into correct bucket
}
//Places values from buckets back into the original vector array
for(int k=0; k<Buckets.size(); k++){
for(int l=0; l<Buckets[k].size(); l++){
V[PosCount]=Buckets[k][l];
PosCount++;
}
Buckets[k].clear();
}
PosCount=0;
PowValue=PowValue*10;
}``````

Once again, any help, suggestion, etc. would be much appreciated.

Nevermind this

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