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.
Answer:
1. Supercomputers
Supercomputers are very expensive and very fast. They are the most powerful computers we have in the world.
Supercomputers are optimized to execute only a small number of programs. This makes it possible for them to execute these few programs at a very high speed. Due to their inhibiting cost, they are used in high-end places like in scientific research centers. The supercomputer consists of thousands of processors, allowing it to clock in at very high speeds measured by petaflops.
These computer types are also very large in size due to the numerous parts and components involved in their design.
A good example of a supercomputer is Tianhe-2, which is located in the National Supercomputer Center in Guangzhou, China. It features 3.12 million cores, allowing it to run at speeds of 33.86 petaflops.
2. Mainframe Computers
These are large and expensive computers that are capable of supporting thousands of users simultaneously. They are mostly used by governments and large organizations for bulk data processing, critical applications, and transaction processing. They are ranked below supercomputers.
3. Minicomputers
Minicomputers are mid-sized computers. In terms of size and power, they are ranked below mainframes. A minicomputer is a multiprocessing system capable of supporting from 4 to about 200 users simultaneously.
The use of the term minicomputer has diminished since the introduction of microprocessors. These machines are now more commonly called midrange computers.
4. Microcomputers
A microcomputer, also known as a personal computer, is designed to be used by one user at a time. The term microcomputer relates to the microprocessor that is used for the purpose of processing data and instruction codes. These are the most common computer types since they are not very expensive
Answer:
Following code are:
int *temp; //declaration of variable
// perform swapping
temp = xp;
xp = yp;
yp = temp;
Explanation:
we declare an integer data type pointer variable "*temp" then perform swapping between them.
The variables "xp" and "yp" are already declared and these variables are performing swapping among three.
