A Peer-to-peer network architecture would work best for Edward and Matthew.
Although they have the option of creating a Client-Server type of network architecture, the number of people that they are currently working with would cost them a lot more than a peer-to-peer architecture.
One of the advantages of using a Peer-to-peer network architecture for a small network would be the access of files between all computers in the network. Even if one of the computers will fail, the other computers will still have access to the different files and information they will need to keep the company moving forward.
Answer:
Financial identity theft
Explanation:
Financial identity theft is a fraudulent act that involves accessing someone's personal information without their consent or approval for fraudulent financial gain.
A typical financial identity theft is someone stealing your credit card information such as pin, cvv, etc. to make other financial transactions without your knowledge.
The part of a computing device that is the biggest power consumer is;
Central Processing Unit
<h3>Central Processing Unit</h3>
The part of a computing device that cosnumes the most power is called the Central Processing Unit (CPU). This is due to the following reasons;
- The CPU consists of motherboard and battery that draws power from the socket.
- The Mother board is equipped with logic gates that are used to implement logic in the computer.
- The Logic gates are voltage signals that signify the binary information that are fed into the system.
Read more about Central Processing Unit (CPU) at; brainly.com/question/4558917
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:
bool identicaltrees(Node* root1,Node* root2)//function of type boolean true if idenctical false if not.
{
if(root1==NULL&&root2==NULL)//both trees are null means identical.
return true;
if(roo1 && root2)
{
if(root1->data==root2->data)//condition for recursive call..
{
return (identicaltrees(root1->left,root2->right)&&identicaltrees(root1->right&&root2->right);
}
}
else
return false;
}
Explanation:
In this function it of type boolean returns true if both the trees are identical return false if not.First we are checking root node of both the trees if both are null then they are identical returning true.
If both root nodes are not null then checking their data.If data is same then recursively traversing on both trees and checking both trees.
else returning false.
