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Questions and Answers
In the context of Big O notation, what does it mean for an algorithm to have a time complexity of $O(2^n)$?
In the context of Big O notation, what does it mean for an algorithm to have a time complexity of $O(2^n)$?
- The execution time grows exponentially with the input size. (correct)
- The execution time grows linearly with the input size.
- The execution time grows logarithmically with the input size.
- The execution time remains constant regardless of the input size.
Which of the following data structures is most suitable for implementing a Last-In-First-Out (LIFO) behavior?
Which of the following data structures is most suitable for implementing a Last-In-First-Out (LIFO) behavior?
- Linked List
- Stack (correct)
- Hash Table
- Queue
Which of the following sorting algorithms has an average-case time complexity of $O(n \log n)$?
Which of the following sorting algorithms has an average-case time complexity of $O(n \log n)$?
- Insertion Sort
- Selection Sort
- Merge Sort (correct)
- Bubble Sort
Consider an algorithm that searches for a specific element in a binary search tree. In the worst-case scenario, what is the time complexity of this search operation?
Consider an algorithm that searches for a specific element in a binary search tree. In the worst-case scenario, what is the time complexity of this search operation?
Which of the following factors primarily contributes to the space complexity of a recursive algorithm?
Which of the following factors primarily contributes to the space complexity of a recursive algorithm?
Flashcards
Data Structure
Data Structure
A method of organizing & storing data to enable efficient access & usage.
Big O Notation
Big O Notation
Big O notation classifies algorithms by how their runtime or space needs grow with input size, focusing on the worst-case upper bound.
Time Complexity Analysis
Time Complexity Analysis
Determining how an algorithm's execution time scales with input size, usually expressed using Big O notation.
Algorithm Efficiency
Algorithm Efficiency
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Best-Case Complexity
Best-Case Complexity
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Average-Case Complexity
Average-Case Complexity
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Worst-Case Complexity
Worst-Case Complexity
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Amortized Analysis
Amortized Analysis
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Space Complexity
Space Complexity
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Trade-offs Between Time and Space
Trade-offs Between Time and Space
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