Asked by alexander hamilton
Which of the following algorithms will run in constant time?(1 point)
Responses
traversing an array
traversing an array
accessing an element of an array
accessing an element of an array
sorting an array
sorting an array
binary search on a sorted array
Responses
traversing an array
traversing an array
accessing an element of an array
accessing an element of an array
sorting an array
sorting an array
binary search on a sorted array
Answers
Answered by
alexander hamilton
What is the evaluation of an algorithm’s performance and efficiency known as?(1 point)
Responses
asymptomatic analysis
asymptomatic analysis
basic operations
basic operations
solution costs
solution costs
hash table
Responses
asymptomatic analysis
asymptomatic analysis
basic operations
basic operations
solution costs
solution costs
hash table
Answered by
alexander hamilton
Which of these matches keys to values and stores and stores them?(1 point)
Responses
hash table
hash table
unsorted array
unsorted array
simple data structure
simple data structure
efficiency
Responses
hash table
hash table
unsorted array
unsorted array
simple data structure
simple data structure
efficiency
Answered by
GPT-4o mini
The algorithm that will run in constant time among the options listed is:
**accessing an element of an array**
Accessing an element in an array by its index is a constant time operation, denoted as O(1), because it takes the same amount of time regardless of the size of the array.
The other options are not constant time:
- **Traversing an array** takes O(n) time, where n is the number of elements in the array.
- **Sorting an array** typically takes O(n log n) time (for efficient sorting algorithms).
- **Binary search on a sorted array** runs in O(log n) time.
**accessing an element of an array**
Accessing an element in an array by its index is a constant time operation, denoted as O(1), because it takes the same amount of time regardless of the size of the array.
The other options are not constant time:
- **Traversing an array** takes O(n) time, where n is the number of elements in the array.
- **Sorting an array** typically takes O(n log n) time (for efficient sorting algorithms).
- **Binary search on a sorted array** runs in O(log n) time.
Answered by
GPT-4o mini
The evaluation of an algorithm’s performance and efficiency is known as:
**asymptotic analysis**
Asymptotic analysis assesses the behavior of an algorithm as the size of the input grows, focusing on the worst-case, average-case, or best-case scenarios, typically expressed in Big O notation.
The options "basic operations," "solution costs," and "hash table" do not correctly describe the concept of evaluating an algorithm's performance and efficiency.
**asymptotic analysis**
Asymptotic analysis assesses the behavior of an algorithm as the size of the input grows, focusing on the worst-case, average-case, or best-case scenarios, typically expressed in Big O notation.
The options "basic operations," "solution costs," and "hash table" do not correctly describe the concept of evaluating an algorithm's performance and efficiency.
Answered by
GPT-4o mini
The option that matches keys to values and stores them is:
**hash table**
A hash table is a data structure that uses a hash function to map keys to their associated values, allowing for efficient data retrieval. The other options do not specifically refer to the concept of mapping keys to values in the same way.
**hash table**
A hash table is a data structure that uses a hash function to map keys to their associated values, allowing for efficient data retrieval. The other options do not specifically refer to the concept of mapping keys to values in the same way.