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-BARSIC- [3]
3 years ago
10

Suppose that a minus sign in the input indicates pop the stack and write the return value to standard output, and any other stri

ng indicates push the string onto the stack. Further suppose that following input is processed:
this parrot - wouldn't voom - if i put -- four thousand --- volts - through it -
What are the contents (top to bottom) left on the stack?
a. through wouldn't this.
b. this wouldn't through.
c. it through wouldn't.
d. it through volta.
e. volts through it.
Computers and Technology
2 answers:
Sergio [31]3 years ago
7 0
It’s b just really got to make since an read it right that’s all
guapka [62]3 years ago
5 0

Answer:

e. volts through it

Explanation:

volts through it

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Which types of scenarios would the NETWORKDAYS function help calculate? Check all that apply.
inna [77]

Answer:

A. days of vacation time left

B. days of school left in the year

D. years of service someone performed

Explanation:

The NETWORKDAYS function is a built in excel function which makes it easy to calculate the number of days between two specified dates the start date and the end date, this function when applied excludes weekends from the days calculated and one has the opportunity of specifying certain holidays. With this function. The number of days till vacation, the number school days left. The NETWORKDAYS is a very versatile function.

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All of the following can be caused by the movement of geologic plates EXCEPT
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4 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.

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