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CSE 2050_ Exam 2 Questions with 100% Actual correct answers | verified | latest update | Graded A+ | Already Passed | Complete Solution

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CSE 2050_ Exam 2 Questions with 100% Actual correct answers | verified | latest update | Graded A+ | Already Passed | Complete Solution

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  • June 24, 2024
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CSE 2050: Exam 2
Sub-problems are solved from the bottom up. Each problem is trivially solved as the
combination of previously-solved subproblems. - ANS-Dynamic Programming

Something that is true every time we reach a certain point - ANS-invariant

Dictionary Comprehension: What results in a dictionary with 50 items? - ANS-X = {i//2: i
for i in range(100)}

What are the three steps of dynamic programming? - ANS-1. Identify base cases
2. Implement iteratively or recursively
3. Add memoization (keep set of visited vertices)

A function repeatedly calls itself until it reaches a base case. - ANS-Recursion

Before attempting to solve a new sub-problem, a collection is referenced to see if this
sub-problem has already been solved. - ANS-Memoization

Quicksort is an in-place algorithm, it doesn't require creation of new lists while sorting. -
ANS-True, but mergesort is not.

T/F When calculating fibonacci numbers, the recursive solution uses more memory but
is faster than the iterative solution. - ANS-False

What is true about recursive algorithms? - ANS-(1) They are helpful for exploring
branching paths. (2) Without memoization, they often solve the same subproblems
repeatedly

When implementing a binary search in python, what must be avoided to achieve a
logarithmic worst case running time? - ANS-slicing

Which quadratic sorting algorithm is least likely to sort the following list L fastest:
"""
import random
L = [randm.randint(0,2050) for i in range 10000] - ANS-bubble sort; selection sort would
be the fastest for random placement

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