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.
Answer:
Analysis is the right suitable word to complete the sentence
Explanation:
It is because, Analysis is a concept, which means to judge any subjects and brings some original concept which is needed to take from the subjects.
Here in the above question the paragraph states about the summarize points taken from a large amount of data and analysis also mean the same and analysis is also the activity used in NLP for the same as above discussed.
No longer produced or used; out of date.
Answer:
class Main {
public static void printPattern( int count, int... arr) {
for (int i : arr) {
for(int j=0; j<count; j++)
System.out.printf("%d ", i);
System.out.println();
}
System.out.println("------------------");
}
public static void main(String args[]) {
printPattern(4, 1,2,4);
printPattern(4, 2,3,4);
printPattern(5, 5,4,3);
}
}
Explanation:
Above is a compact implementation.
Answer:
Keeping as few emoji's as possible. This helps because lots of emoji's can make things confusing and/or annoying. This just means being kind to the person you're messaging and not making things confusing.
