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.
<span>The answer is Show IP OSPF interface
Hope this helped :)</span>
Answer: processing
Explanation:
During the processing steps of the information processing cycle, data is manipulated, calculated, or organized to create useful information.
At this stage, the data that has been gotten will have to be worked on by manipulating it, making necessary calculations in order to get a useful information out of it.
The turf below may turn yellow and even die as a result of persistent clumps of clippings. The silo effect is the name given to this phenomenon.
<h3>What is the business silo effect?</h3>
The term "silo effect," which is used frequently in the business and organizational communities to describe a lack of communication and shared objectives between departments in an organization, is used to describe this situation. Employee groups that typically operate independently within an organization are referred to as silos.
<h3>Silo mentality definition?</h3>
A silo mentality occurs when different teams or team members within the same organization purposefully withhold important information from other employees. This silo mentality undermines a company's unified vision and prevents long-term objectives from being reached.
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