Answer:
dont do more then you handle
L+L+W+W= Permiter
Or Lenght+Lenght+Width+Width= Perimeter
That’s all just add all the 4 sides
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:
10 20
30 40
50 60
Explanation:
Given
The above code segment
Required
What is printed, if anything
To do this, we analyze the code line by line.
Line 1: The first line creates a 4 by 3 array named mat
Line 2: for (int[] row : mat)
{ -> This creates row[] array which represents each row of array mat
Line 3: for (int j = 0; j < row.length; j += 2){ -> This iterates through the even indexed elements of the row array i.e. 0 and 2
Line 4: System.out.print(row[i] + " "); -> This prints the even indexed elements of the row array.
The even indexed elements are: 10, 20, 30, 40, 50 and 60
Line 5: System.out.println();
--> This prints a new line
Fuel
Oxigen
Heat
A stick where the torch will be carried
