Goal here is to merge multiple arrays which are already sorted into a resultant array.
I’ve written the following solution and wondering if there is a way to improve the solution
/*
Goal is to merge all sorted arrays
*/
void mergeAll(const vector< vector<int> >& listOfIntegers, vector<int>& result)
{
int totalNumbers = listOfIntegers.size();
vector<int> curpos;
int currow = 0 , minElement , foundMinAt = 0;
curpos.reserve(totalNumbers);
// Set the current position that was travered to 0 in all the array elements
for ( int i = 0; i < totalNumbers; ++i)
{
curpos.push_back(0);
}
for ( ; ; )
{
/* Find the first minimum
Which is basically the first element in the array that hasn't been fully traversed
*/
for ( currow = 0 ; currow < totalNumbers ; ++currow)
{
if ( curpos[currow] < listOfIntegers[currow].size() )
{
minElement = listOfIntegers[currow][curpos[currow] ];
foundMinAt = currow;
break;
}
}
/* If all the elements were traversed in all the arrays, then no further work needs to be done */
if ( !(currow < totalNumbers ) )
break;
/*
Traverse each of the array and find out the first available minimum value
*/
for ( ;currow < totalNumbers; ++currow)
{
if ( listOfIntegers[currow][curpos[currow] ] < minElement )
{
minElement = listOfIntegers[currow][curpos[currow] ];
foundMinAt = currow;
}
}
/*
Store the minimum into the resultant array
and increment the element traversed
*/
result.push_back(minElement);
++curpos[foundMinAt];
}
}
The corresponding main goes like this.
int main()
{
vector< vector<int> > myInt;
vector<int> result;
myInt.push_back(vector<int>() );
myInt.push_back(vector<int>() );
myInt.push_back(vector<int>() );
myInt[0].push_back(10);
myInt[0].push_back(12);
myInt[0].push_back(15);
myInt[1].push_back(20);
myInt[1].push_back(21);
myInt[1].push_back(22);
myInt[2].push_back(14);
myInt[2].push_back(17);
myInt[2].push_back(30);
mergeAll(myInt,result);
for ( int i = 0; i < result.size() ; ++i)
{
cout << result[i] << endl;
}
}
You can generalize Merge Sort algorithm and work with multiple pointers. Initially, all of them are pointing to the beginning of each array. You maintain these pointers sorted (by the values they point to) in a priority queue. In each step, you remove the smallest element in the heap in
O(log n)(n is the number of arrays). You then output the element pointed by the extracted pointer. Now you increment this pointer in one position and if you didn’t reach the end of the array, reinsert in the priority queue inO(log n). Proceed this way until the heap is not empty. If there are a total of m elements, the complexity isO(m log n). The elements are output in sorted order this way.