Answer:
import numpy as np
import matplotlib.pyplot as plt
def calculate_pi(x,y):
points_in_circle=0
for i in range(len(x)):
if np.sqrt(x[i]**2+y[i]**2)<=1:
points_in_circle+=1
pi_value=4*points_in_circle/len(x)
return pi_value
length=np.power(10,6)
x=np.random.rand(length)
y=np.random.rand(length)
pi=np.zeros(7)
sample_size=np.zeros(7)
for i in range(len(pi)):
xs=x[:np.power(10,i)]
ys=y[:np.power(10,i)]
sample_size[i]=len(xs)
pi_value=calculate_pi(xs,ys)
pi[i]=pi_value
print("The value of pi at different sample size is")
print(pi)
plt.plot(sample_size,np.abs(pi-np.pi))
plt.xscale('log')
plt.yscale('log')
plt.xlabel('sample size')
plt.ylabel('absolute error')
plt.title('Error Vs Sample Size')
plt.show()
Explanation:
The python program gets the sample size of circles and the areas and returns a plot of one against the other as a line plot. The numpy package is used to mathematically create the circle samples as a series of random numbers while matplotlib's pyplot is used to plot for the visual statistics of the features of the samples.
Answer:
Management and coordination of security-related resources
Explanation:
It is essential to make sure that an information security program is highly secured and non-authorized personnel cannot get access to the program. The security of the program is also important to ensure that valuable information and data of clients are safe. This is one of the most vital in security management.
Answer:
Answered below
Explanation:
Class BaseballPlayer{
//Instance variables
string name;
int hits;
int bats;
//Constructor
BaseballPlayer (string a, int b, int c){
name = a;
hits = b;
bats = c
}
public void printBattingDetails( ){
System.out.print(name, hits, bats)
}
}
//Demo class
Class BaseballTester{
public static void main (String args []){
BaseballPlayer player = new BaseballPlayer("Joe", 8, 4)
player.printBattingDetails( )
}
}
