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Usimov [2.4K]
3 years ago
14

Brain for free 12628397

Computers and Technology
2 answers:
Natasha_Volkova [10]3 years ago
6 0

Answer:

Thank you so much!

Explanation:

Have a good day and Thanksgiving

Kazeer [188]3 years ago
5 0
Yussssssssssssss hahah
You might be interested in
Determine which careers you can enter after completing a training program and which careers require a college degree.
KonstantinChe [14]

Answer: statistician automotive engineer customer service specialist data modeler broadcast technician video systems technician

Explanation:

8 0
3 years ago
Given three floating-point numbers x, y, and z, output x to the power of z, x to the power of (y to the power of z), the absolut
STALIN [3.7K]

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

6 0
3 years ago
ossless compression tools generally use either Huffman coding or Lempel-Ziv-Welch (LZW) coding. Discuss the advantages and disad
anygoal [31]

Answer:

It we were asked to develop a new data compression tool, it is recommended to use Huffman coding since it is easy to implement and it is widely used.

Explanation:

The pros and the cons of Huffman coding

Huffman coding is one of the most simple compressing encoding schemes and can be implemented easily and efficiently. It also has the advantage of not being patented like other methods (e.g. arithmetic codingfor example) which however are superior to Huffman coding in terms of resulting code length.

One thing not mentioned so far shall not be kept secret however: to decode our 96 bit of “brief wit” the potential receiver of the bit sequence does need the codes for all letters! In fact he doesn’t even know which letters are encoded at all! Adding this information, which is also called the “Huffman table” might use up more space than the original uncompressed sentence!

However: for longer texts the savings outweigh the added Huffman table length. One can also agree on a Huffman table to use that isn’t optimized for the exact text to be transmitted but is good in general. In the English language for example the letters “e” and “t” occur most often while “q” and “z” make up the least part of an average text and one can agree on one Huffman table to use that on average produces a good (=short) result. Once agreed upon it doesn’t have to be transmitted with every encoded text again.

One last thing to remember is that Huffman coding is not restricted to letters and text: it can be used for just any symbols, numbers or “abstract things” that can be assigned a bit sequence to. As such Huffman coding plays an important role in other compression algorithms like JPG compression for photos and MP3 for audio files.

The pros and the cons of Lempel-Ziv-Welch

The size of files usually increases to a great extent when it includes lots of repetitive data or monochrome images. LZW compression is the best technique for reducing the size of files containing more repetitive data. LZW compression is fast and simple to apply. Since this is a lossless compression technique, none of the contents in the file are lost during or after compression. The decompression algorithm always follows the compression algorithm. LZW algorithm is efficient because it does not need to pass the string table to the decompression code. The table can be recreated as it was during compression, using the input stream as data. This avoids insertion of large string translation table with the compression data.

3 0
3 years ago
Write a program that reads a 4-bit binary number from the keyboard as a string and then converts it into decimal. For example, i
adell [148]

Answer:

import java.util.Scanner;

public class ss11{

       public static void main (String[]args) {

             Scanner keyboard = new Scanner (System.in)

             String a1, a2, a3, a4, a5;

              int i1, i2, i3, i4, i5;

              System.out.println("Enter a four bit binary number:");

               a1= keyboard.next();

               a2= a1.substring(0,1);

               a3= a1.substring(1,2);

               a4= a1.substring(2,3);

               a5= a1.substring(3,4);

                i1 = Integer.parseInt(a2);

                i2 = Integer.parseInt(a3);

                i3 = Integer.parseInt(a4);

                i4 = Integer.parseInt(a5);

                i1= i1 * 8;

                i2= i1 * 4;

                i3= i1 * 2;

                i4= i1 * 1;

                i5= i1+i2+i3+i4;

                System.out.println("The converted decimal number is: +i5);

}

}

Explanation:

7 0
3 years ago
Assume the following variable definition appears in a program:
AnnZ [28]

Answer:

cout << setprecision(2)<< fixed << number;

Explanation:

The above statement returns 12.35 as output

Though, the statement can be split to multiple statements; but the question requires the use of a cout statement.

The statement starts by setting precision to 2 using setprecision(2)

This is immediately followed by the fixed manipulator;

The essence of the fixed manipulator is to ensure that the number returns 2 digits after the decimal point;

Using only setprecision(2) in the cout statement will on return the 2 digits (12) before the decimal point.

The fixed manipulator is then followed by the variable to be printed.

See code snippet below

<em>#include <iostream>  </em>

<em>#include <iomanip> </em>

<em>using namespace std;  </em>

<em>int main()  </em>

<em>{  </em>

<em> // Initializing the double value</em>

<em> double number = 12.3456;  </em>

<em> //Print  result</em>

<em> cout << setprecision(2)<< fixed << number;  </em>

<em> return 0;  </em>

<em>}  </em>

<em />

4 0
3 years ago
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