when you build a hash function you will want to achieve its run time as T(N)=O(?)...
when you build a hash function you will want to achieve its run time as T(N)=O(?) where N - is the size of input value/object for your hash function? Meaning, you want to hash a string of 1 million characters and a string of 1 character. Will run times be significantly different?
Homework Answers
--> when we build a hash function, we will ideally want to achieve its run time as T(N) = O(1). i..e. constant time
--> when you want to hash a string of 1 million characters and a string of 1 character, their run times will
significantly be different because for string of 1 million characters we have process all the characters to
generate hash.
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when you build a hash function you will want to achieve its run
time as T(N)=O(?)...
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JAVA: Run length encoding is a simple form of data compression. It replaces long sequences of...
JAVA:
Run length encoding is a simple form of data compression. It
replaces long sequences of a repeated value with one occurrence of
the value and a count of how many times to repeat it. This works
reasonably well when there are lots of long repeats such as in
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JAVA:
Run length encoding is a simple form of data compression. It
replaces long sequences of a repeated value with one occurrence of
the value and a count of how many times to repeat it. This works
reasonably well when there are lots of long repeats such as in
black and white images. To avoid having to represent non-repeated
runs with a count of 1 and the value, a special value is often used
to indicate a run and everything...
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