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dybincka [34]
3 years ago
8

Differentiate between rotational delay and seek time​

Computers and Technology
1 answer:
Savatey [412]3 years ago
5 0

Answer:

Seek time measures the delay for the disk head to reach the track. A rotational delay accounts for the time to get to the right sector.

Explanation:

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1. Which of the following describes a way of memorizing a poem using a mnemonic device?
xenn [34]

Answer:

Singing the words of the poem to the tune of Happy Birthday"

Explanation:

Mnemonic devices are those tools which can be used to improve a persons ability to remember something efficiently. In short, it a technique to memorize something in short period of time and remember it for longer period of time.

Memorizing a poem by singing it to the tune of Happy birthday is also a technique to remember the poem and memorizing it efficiently.

3 0
3 years ago
State why hexadecimal is used to display the error code
maxonik [38]
“Hexadecimal uses digits that more closely resemble our usual base-10 counting system and it's therefore easier to decide at a glance how big a number like e7 is as opposed to 11100111. Higher information density. With 2 hexadecimal digits, we can express any number from 0 to 255.”
7 0
4 years ago
Wap to calculate area and circumference of a circle​
Rainbow [258]

Answer:

To calculate the area of circle πr^2 formula.

And,to calculate the circumference we can use 2πr formula.

5 0
3 years ago
4.9 Code Practice: Question 4
RideAnS [48]

total = 0

i = 0

while i < 10:

   temp = float(input("Enter Temperature: "))

   total += temp

   i += 1

print("Sum = "+str(total))

I hope this helps!

6 0
3 years ago
Read 2 more answers
In numerical methods, one source of error occurs when we use an approximation for a mathematical expression that would otherwise
Shtirlitz [24]

Answer:

The function in Python is as follows:

import math

import numpy as np    

def exp(x):

   mylist = []

   for n in range(10):

       num = (x**n)/(math.factorial(n))

       mylist.append([num])

   exp_approx = np.asarray(mylist)

   sum = 0

   for num in exp_approx:

       sum+=num

   return sum

Explanation:

The imports the python math module

import math

The imports the python numpy module

import numpy as np    

The function begins here

def exp(x):

This creates an empty list

   mylist = []

This iterates from 0 to 9

   for n in range(10):

This calculates each term of the series

       num = (x**n)/(math.factorial(n))

This appends the term to list, mylist

       mylist.append([num])

This appends all elements of mylist to numpy array, exp_approx

   exp_approx = np.asarray(mylist)

This initializes the sum of the series to 0

   sum = 0

This iterates through exp_approx

   for num in exp_approx:

This adds all terms of the series

       sum+=num

This returns the calculated sum

   return sum

3 0
3 years ago
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