Solution :
x = float_(input())
y = float_(input())
z = float_(input())
res1 = x**z
res2 = x**(y**z)
res3 = abs(x-y)
res4 = (x**z)**0.5
print('{:.2f} {:.2f} {:.2f} {:.2f}'.format(res1,res2,res3,res4))
Output is :
5.0
1.5
3.2
172.47 361.66 3.50 13.13
Answer:
Try and do number = 7
If that does not work then I dont know what to tell you.
Explanation:
Answer: Probability/impact risk matrix
Explanation: Probability/impact risk matrix is type of matrix that defines the probability as well as impact that depicts whether the risk is low ,high or moderate.
Impact matrix is sort of tool which helps in conversion of any plan into a action. Probability matrix help in defining the chances in defining the risk.The positioning of the impact value of risk is plotted on the vertical axis and performance value on the horizontal axis.
Thus probability/impact matrix is the correct tool for the problem mentioned in the question.
Answer:
The code to this question can be given as:
code:
tp = ip;
ip = jp;
jp = tp;
Explanation:
In this question, it is defined that write code for swapping values that swap the pointers, not the values they point to. So in this code, we assume that all the variable and its value is defined. we simply use the swapping rule that is the first value holds in the new variable and second value hold on the first variable and in the last second variable holds the value of the new variable. In this code, the value will be interchanged or swapped.
