Knowee
Questions
Features
Study Tools

What is the time complexity of accessing the nth element on an unsorted array?O(n!)O(2^n)O(1)O(n)O(nlog(n))O(n^2)O(log(n))

Question

What is the time complexity of accessing the nth element on an unsorted array?

  • O(n!)
  • O(2^n)
  • O(1)
  • O(n)
  • O(nlog(n))
  • O(n^2)
  • O(log(n))
🧐 Not the exact question you are looking for?Go ask a question

Solution

Break Down the Problem

  1. We need to determine the time complexity of accessing the nth element in an unsorted array.

Relevant Concepts

  1. In an unsorted array, each element can be accessed directly using its index. This allows for efficient retrieval of elements.

Analysis and Detail

  1. When accessing an element in an array using its index, the operation is performed in constant time. This is because arrays allow for direct indexing, meaning that the position of the nth element is calculated instantly using its index.

Verify and Summarize

  1. Given that accessing an element by its index does not depend on the size of the array (n), the time complexity for accessing the nth element is O(1) O(1) .

Final Answer

The time complexity of accessing the nth element in an unsorted array is O(1) O(1) .

This problem has been solved

Similar Questions

What is the time complexity of searching for an element in an unsorted array of size n?O(n)O(1)O(log(n))O(nlog(n))O(2^n)O(n!)O(n^2)

What is the time complexity of accessing the nth element of a singly linked list?O(n!)O(2^n)O(1)O(n)O(nlog(n))O(n^2)O(log(n))

What is the time complexity of searching for an element in a stack of size n?O(n!)O(2^n)O(1)O(n)O(nlog(n))O(n^2)O(log(n))

What is the time complexity of searching for an element in an unsorted Python 3 list of size n?O(n)O(1)O(log(n))O(nlog(n))O(2^n)O(n!)O(n^2)

What is the time complexity of searching for an element in a singly linked list of size n?O(n!)O(2^n)O(1)O(n)O(nlog(n))O(n^2)O(log(n))

1/3

Upgrade your grade with Knowee

Get personalized homework help. Review tough concepts in more detail, or go deeper into your topic by exploring other relevant questions.