Answer: it indents
Explanation:
<span>True that technology can cause a drop in input cost. In a production process, there are three kinds of cost that called input cost, which are the direct material cost, direct labor cost, and overhead cost. Technology usage can make the production process more efficient by reducing labors included in the process. This condition leads to a cost reduction.</span>
Explanation:
1. Information system is a collection of people, procedures, software, hardware, and data to provide essential information to run an organization.
2. Thesaurus is a software tool used in Microsoft Word document to provide synonyms and antonyms for a selected word.
3. Computer component refers to a basic physical element that is required by the computer to function.
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.
