n important tool in algorithm design is randomization. ] Describe two ways that we can obtain random numbers, one from actual data and another using generator functions. This question is not about how to use a package like Python's "random" to generate random numbers. That is somewhat eing tested in problem 1b.) ] Give four examples from our course of how randomziation was used in data structures or algorithms. Don't just name it, e very clear how the randomization was used. (Multiple algorithms that use randomization in the same way count as just ne example.) For each, explain whether it is a Las Vegas or Monte Carlo and why. ]For each of those four examples, describe an alternative approach to solving the same problem that does not ental andomization.
n important tool in algorithm design is randomization. ] Describe two ways that we can obtain random numbers, one from actual data and another using generator functions. This question is not about how to use a package like Python's "random" to generate random numbers. That is somewhat eing tested in problem 1b.) ] Give four examples from our course of how randomziation was used in data structures or algorithms. Don't just name it, e very clear how the randomization was used. (Multiple algorithms that use randomization in the same way count as just ne example.) For each, explain whether it is a Las Vegas or Monte Carlo and why. ]For each of those four examples, describe an alternative approach to solving the same problem that does not ental andomization.
C++ Programming: From Problem Analysis to Program Design
8th Edition
ISBN:9781337102087
Author:D. S. Malik
Publisher:D. S. Malik
Chapter15: Recursion
Section: Chapter Questions
Problem 6PE
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Please help me with these Review questions with as much explanation as possible. I really need to understand this
![Problem 1: Randomization
An important tool in algorithm design is randomization.
[a] Describe two ways that we can obtain random numbers, one from actual data and another using generator functions.
(This question is not about how to use a package like Python's "random" to generate random numbers. That is somewhat
being tested in problem 1b.)
[b] Give four examples from our course of how randomziation was used in data structures or algorithms. Don't just name it,
be very clear how the randomization was used. (Multiple algorithms that use randomization in the same way count as just
one example.) For each, explain whether it is a Las Vegas or Monte Carlo and why.
[c] For each of those four examples, describe an alternative approach to solving the same problem that does not ental
randomization.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F33eba9e5-eb7d-44a1-93e3-ed0ee897e17f%2Fc518b7ee-108f-419d-a40a-c4a55ae9fb09%2Fryp8pl_processed.png&w=3840&q=75)
Transcribed Image Text:Problem 1: Randomization
An important tool in algorithm design is randomization.
[a] Describe two ways that we can obtain random numbers, one from actual data and another using generator functions.
(This question is not about how to use a package like Python's "random" to generate random numbers. That is somewhat
being tested in problem 1b.)
[b] Give four examples from our course of how randomziation was used in data structures or algorithms. Don't just name it,
be very clear how the randomization was used. (Multiple algorithms that use randomization in the same way count as just
one example.) For each, explain whether it is a Las Vegas or Monte Carlo and why.
[c] For each of those four examples, describe an alternative approach to solving the same problem that does not ental
randomization.
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