Answer:
yeah u should watch the Knight of Zodiac
Explanation:
Answer:
myArray = [9, 11, 70, 25, 20, 0, 36, 24]
myvalue = 20
def binary_search(mylist, value):
sorted(mylist)
mid = mylist[round(len(mylist) / 2)]
if value == mid:
return mylist.index(mid)
elif value < mid:
for index, s_one in enumerate(mylist[ : (mylist.index(mid))]):
if s_one == value:
return index
elif value < mid:
for index, s_two in enumerate(mylist[(mylist.index(mid)) : ]):
if s_two == value:
return index
else:
return "searched value not in list/array"
result = binary_search( myArray, myvalue)
print(f"Index of the searched value {myvalue} is: {result}")
Explanation:
The programming language used above is python. It is used to implement a binary search in a list and finally returns the index of the searched value.
Answer:
B) Share or Transfer
Explanation:
A transfer of risk, considered the underlying tenet of insurance transactions, is a risk management technique where risk shifts from one party to another. Risks may transfer between individuals, from individuals to insurance companies, or from insurers to reinsurers. For example, when a person purchases home insurance, they are paying an insurance company to assume the risks associated with homeownership.
Cybersecurity refers to the technologies, processes and practices designed to protection an organization's intellectual property, customer data and other sensitive information from unauthorized access by cyber criminals. The frequency and severity of cybercrime is on the rise and there is a significant need for improved cybersecurity risk management as part of every organization's enterprise risk profile.
Regardless of your organization's risk appetite, you need to include cybersecurity planning as part of your enterprise risk management process and ordinary business operations. It's one of the top risks to any business.
Answer:
Means no matter how many processors you use, speed up never increase from 10 times.
Explanation:
If a problem of size W has a serial component Ws,then performance using parallelism:
Using Amdahl's Law:
Tp = (W - Ws )/ N + Ws
Here, Ws = .1,
W - Ws = .9
Performance Tp = (.9 / N) + .1
---------------------------------------------------------
Speed Up = 1 / ( (.9 / N) + .1)
If N -> infinity, Speed Up <= 10
Means no matter how many processors you use, speed up never increase from 10 times.