Answer:
O(N!), O(2N), O(N2), O(N), O(logN)
Explanation:
N! grows faster than any exponential functions, leave alone polynomials and logarithm. so O( N! ) would be slowest.
2^N would be bigger than N². Any exponential functions are slower than polynomial. So O( 2^N ) is next slowest.
Rest of them should be easier.
N² is slower than N and N is slower than logN as you can check in a graphing calculator.
NOTE: It is just nitpick but big-Oh is not necessary about speed / running time ( many programmers treat it like that anyway ) but rather how the time taken for an algorithm increase as the size of the input increases. Subtle difference.
Answer:
starting with lowercase letters, using uppercase letters for the first letter in a new word
Explanation:
starting with a dollar sign, using lowercase for the remaining parts of each word
Answer:
<u><em>A callout is a type of text box that also includes a line for pointing to any location on the document. A callout appears under the SHAPES menu of the word processing program. The answer that completes this statement is the word "shapes". Hope this answers your question. </em></u>
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Explanation:
#1 is D #2 is B #3 is A #4 is D #5 is B
Answer:
I think A Bluetooth receiver is causing the smartphone to over heat
