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.
In the context of web and network privacy issues, new employees in an organization have to sign an acceptable use policy (AUP) before they access the network. This usage policy<span> or fair use policy, </span> provides guidance and set of rules for using the network and network resources and protects the network and the users.
Answer:
Security technician
Explanation:
Security technicians are responsible for fixing, planning, and implementing the IT and computer security system of organisations by making sure the safety and security of the data and information of the clients as well as the employees that make daily use of the systems
Security technicians administer security access to the clients and employees of the organization and are responsible for being up to date with the latest IT security technology developments.
```
#!/usr/local/bin/python3
import sys
coins = { "quarters" : 25, "dimes" : 10, "nickels" : 5, "pennies" : 1 }
def mkChange( balance, coin ):
qty = balance // coins[ coin ]
if( qty ):
print( str( qty ) + ' ' + coin )
return( balance % coins[ coin ] )
if( __name__ == "__main__" ):
if( len( sys.argv ) == 2 ):
balance = int( sys.argv[ 1 ] )
balance = mkChange( balance, "quarters" )
balance = mkChange( balance, "dimes" )
balance = mkChange( balance, "nickels" )
balance = mkChange( balance, "pennies" )
else:
sys.stderr.write( "\nusage: " + sys.argv[ 0 ] + " <change owed>\n" )
```
