I am trying to calculate the Big-Oh for this code, which is for performing a binary search on a linked list:
public int search( List<T> list, T target ) {
        int low = 0;
        int high = list.size() - 1;
        int middle;
        while ( low <= high ) {             // frequency << log( n )
            middle = ( low + high ) / 2;
            int cmp = target.compareTo( list.get( middle ) );   // time << n
            if ( cmp < 0 ) high = middle - 1;
            else if ( cmp > 0 ) low = middle + 1;
            else return middle;
        }   // time << n log( n )
        return -1;
}   // time << n log( n )
I get O(n log(n)) as the answer. Is this a correct way of calculating this search method for this type of list?
 
    