Answer:
True.
Explanation:
An indicator is a comprehensive analysis of critical information by an adversary normally providing the whole picture of an agency's capabilities.
Hope this helps!
Answer and Explanation:
To calculate Big O, go through each line of code and determine O(!), O(n) and return your calculation.
For example,
In O (5 +6n), where 6 5 represent five instances of O(1), and 6 represent the 6 O(n).
We compute the time complexity of the algorithm. We get the result, just an estimation. In given algorithms, run time in milliseconds has been provided, such as in T (1) algorithm process in 512 milliseconds and T(2) algorithms process 8129 milliseconds. But big O notation not measured in milliseconds. Information given is not enough to calculate the big O notation.
Answer:
The program in Python is as follows:
num1 = int(input())
num2 = int(input())
if num1 >=0 and num2 >= 0:
print(num1+num2)
elif num1 <0 and num2 < 0:
print(num1*num2)
else:
if num1>=0:
print(num1**2)
else:
print(num2**2)
Explanation:
This gets input for both numbers
num1 = int(input())
num2 = int(input())
If both are positive, the sum is calculated and printed
<em>if num1 >=0 and num2 >= 0:</em>
<em> print(num1+num2)</em>
If both are negative, the products is calculated and printed
<em>elif num1 <0 and num2 < 0:</em>
<em> print(num1*num2)</em>
If only one of them is positive
else:
Calculate and print the square of num1 if positive
<em> if num1>=0:</em>
<em> print(num1**2)</em>
Calculate and print the square of num2 if positive
<em> else:</em>
<em> print(num2**2)</em>
Quadrupled. I think sorry if you get it wrong i do not remember much
When forced distribution is used to reduce leniency bias, this can cause <decreased trust> between employees if a pfp system is in place.
