Answer:
DNA obj =new DNA;//obj object created dynamically.
DNA *dnaPtr=&obj.//dnaPtr to store the address of the object.
Explanation:
The above written statements are in C++.The DNA object is created dynamically and it is done in C++ by using new keyword which allocates the heap memory for the object.
Then a dnaPtr is created of type DNA so that it can store the address of the DNA objects.
Answer:
yo! but I'm a ex-mobile legends
Answer:
See explaination
Explanation:
The reasons why indexed sequential search structure is better are:
1. In index sequential search any field of the records can be used as the key. This key field can be numerical or alphanumerical.
2. Since each record has its data block address, searching for a record in larger database is easy and quick. There is no extra effort to search records. But proper primary key has to be selected to make efficient.
3. This method gives flexibility of using any column as key field and index will be generated based on that. In addition to the primary key and its index, we can have index generated for other fields too. Hence searching becomes more efficient, if there is search based on columns other than primary key.
The reasons why 5 B-tree is better:
1.The B-tree Provides support for range of queries in an efficient manner and You can iterate over an ordered list of elements.
2. B-Tree algorithms are good for accessing pages (or blocks) of stored information which are then copied into main memory for processing. In the worst case, they are designed to do dynamic set operations in O(lg n) time because of their high "branching factor" (think hundreds or thousands of keys off of any node). It is this branching factor that makes B-Trees so efficient for block storage/retrieval, since a large branching factor greatly reduces the height of the tree and thus the number of disk accesses needed to find any key.
3. It is a generalization of a BST in that a node can have more than two children. These are self-balancing and hence the average and worst complexities is logarithmic. We opt for these when the data is too huge to fit in main memory. These structures are used in database indexing and help in faster operations on disk
the additional informations is we should first decide to choose which structure is suiatable for which algoritm in terms of space and time and then use the appropriate search algorithm.
Answer:
Explanation:
The following program was written in Java. It creates a loop that asks the user for numbers. If it can convert it to an integer it accepts it and adds it to the sum variable otherwise it ouputs that it is not a valid number. Once all 10 integers are added it prints the Average of the values entered.
import java.util.ArrayList;
import java.util.Scanner;
class Brainly {
public static void main(String[] args) {
Scanner in = new Scanner(System.in);
int count = 0;
int sum = 0;
while (count != 10) {
System.out.println("Enter a number: ");
String answer = in.nextLine();
try {
int intAnswer = Integer.parseInt(answer);
sum += intAnswer;
count += 1;
} catch (NumberFormatException e) {
System.out.println("Not a valid number.");
}
}
int average = sum / count;
System.out.println("Average: " + average);
}
}
