The correct term you're looking for in this instance is capacity as it limits the amount of storage on a secondary device
Answer:
Follows are the matching to this question:
Explanation:
While time-consuming or prone to errors mechanical adjustments to both the referential, databases could be configured with four measures to engine violations. The restricted action causes the insert, update, and removes to only be denied. Set Null to NULL sets the invalid external key, whereas Set Default to a specific core consideration specified in SQL sets a default foreign key. Its Cascade operation spreads the main changes in external keys.
Answer:
O(N!), O(2N), O(N2), O(N), O(logN)
Explanation:
N! grows faster than any exponential functions, leave alone polynomials and logarithm. so O( N! ) would be slowest.
2^N would be bigger than N². Any exponential functions are slower than polynomial. So O( 2^N ) is next slowest.
Rest of them should be easier.
N² is slower than N and N is slower than logN as you can check in a graphing calculator.
NOTE: It is just nitpick but big-Oh is not necessary about speed / running time ( many programmers treat it like that anyway ) but rather how the time taken for an algorithm increase as the size of the input increases. Subtle difference.
COMPLETE QUESTION
I. public class Test {
public static void main(String[] args){
System.out.println("Welcome to Java!");
}
}
II. public class Test { public static void main(String[] args) {System.out.println("Welcome to Java!");}}
Answer:
Both codes will compile and run and display Welcome to Java, but the code in II has a better style than I
Explanation:
When written codes, paying attention to proper coding styles and efficient memory management enables us to create programs that are highly efficient, coding styles refer to proper indentions and avoiding too lenghty lines of code (as is in code I), adding approprite comments etc.
