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Exam (elaborations)

DSA Final Questions and Answers Fully Solved

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  • DSA
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Exam of 6 pages for the course DSA at DSA (DSA Final)

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  • August 29, 2024
  • 6
  • 2024/2025
  • Exam (elaborations)
  • Questions & answers
  • DSA
  • DSA
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Dreamer252
DSA Final


We no longer have to worry about resizing and we no longer need to shift when
removing.

However, we lose direct index access and each item added is double the size. - answer
What are some advantages to using a Singly Linked List over a Resizable Array
implementation? Disadvantages?

Worst Case RA: N
Average Case: n/2

Worst Case SLS: n
Average Case: n/2 - answerWhat is the computational time for an array based
implementation of List? SLS?

Worst Case: n/2
Average Case: n/4 - answerWhat is the computational time for a Doubly Linked List?

True, if there is no items, the front and back references of the head node links to itself. -
answerTrue or False: There is no null references in a Circularly Doubly Linked List

Worst Case: n/4
Average Case: n/8 - answerWhat is the computational time for a CDLS?

In a LIFO (Last In First Out) fashion. Items are added at the end of the list (push) and
removed from the front of the list (pop) - answerHow does a stack store information?

FIFO (First In First Out) fashion. Items are added to the front and removed from the
front. - answerHow does a Queue store information?

Sequential Searching - answerComparing items in the list one by one until we find what
we are looking for.

We can either have it so that we are eagerly stopping (if found, stop, else continue) or
we are eagerly advancing (if not found continue, else stop)

Best Case Stopping: 2 if successful, 1 if not
Worst Case: 2n if successful, 2n-1 if not
Avg: n if successful, n-1 if not

, Best Case Advancing: 2 for both unsuccessful and successful
Worst: n+1
Average: (n+1) / 2

Eagerly advancing is obviously the best solution - answerWhat are two different ways of
handling Sequential Search? What are their differences in computational time? What is
definitively a better solution?

Binary Search - answerStarting off with a pivot position in a sorted list, make a pivot
position in the middle of the list. If the search key is >pivot, search left, if <pivot, search
left. If it is equal to the pivot, we have found it.

Best Case Stopping: 1 if successful, 2logn if unsuccessful
Worst Case: 2logn-1 if successful, 2logn if not
Avg: logn-1 successful, logn unsuccessful

Eagerly Advancing: log2n + 1 for all cases - answerShow the differences in
computational time between eagerly stopping and advancing Binary Search

Recursion - answerThe act which a function calls itself directly or indirectly in order to
solve a problem

It can be cleaner and simpler in a lot of cases and some problems are just inherently
recursive.

However, performing recursive calls in many cases can absolutely obliterate your RAM
space. - answerWhat are some of the advantages of recursion? Disadvantages?

Base Case - answerThe stopping case of a recursive function

Recursive Case - answerThe case where when the function makes a call to itself

n = 0 or n = 1, return 1

n > 1, return n*factorial(n-1) - answerShow the base cases and recursive cases for
factorial

Recursive: n operations, 2n execution stack operations

Iterative: n operations, 2 execution stack operations - answerShow the computational
differences between recursive factorial and iterative factorial

n = 0, return 0
n = 1, return 1

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