Answer:
NOPE
Explanation:
sometimes presentations can be for one person only. For instance if you work in a company sometimes you present for your boss only etc.
Hope this helped :)
Answer:
def newton(n):
#Define the variables.
t = 0.000001
esti = 1.0
#Calculate the square root
#using newton method.
while True:
esti = (esti + n / esti) / 2
dif = abs(n - esti ** 2)
if dif <= t:
break
#Return the result.
return esti
#Define the main function.
def main():
#Continue until user press enters.
while True:
try:
#Prompt the user for input.
n = int(input("Enter a number (Press Enter to stop):"))
#display the results.
print("newton = %0.15f" % newton(n))
except:
return
#Call the main function.
main()
If I had an array of the names of people who just walked in the door. I’d append the name of the person who came in next. To update the array.
The append method needs to be looped through to add multiple inputs
Answer:
From the given diagram, consider a MIN node whose children are terminal nodes, if MIN plays
suboptimal. MIN will never be lower than the utility obtained playing against an optimal MIN
MIN will always select a move having minimax utility greater than or equal to the move that is
predicted by the minimax that is the MIN-played optimal value.
Then the MIN node's value is increased to MAX. This is done by induction.
One can do better than the minimax strategy, if the suboptimal play is predicted by MIN.
If MIN always falls for certain for certain kind of trap and losses, then setting up a trap guarantees a win.
Explanation:
See attached picture also.