#1
What is the time complexity of an algorithm that performs a single operation for each element in the input?
#2
What is the main advantage of using a greedy algorithm?
Guaranteed optimal solution
Ease of implementation
Ability to handle large input sizes
Flexibility in handling various types of problems
#3
Which data structure is best suited for implementing a priority queue?
Linked List
Stack
Queue
Heap
#4
Which of the following is a divide-and-conquer algorithm used for sorting?
Bubble Sort
Merge Sort
Quick Sort
Insertion Sort
#5
Which data structure is commonly used for implementing depth-first search in a graph?
Queue
Stack
Linked List
Heap
#6
What is the purpose of Big-O notation in algorithm analysis?
To represent the maximum input size of an algorithm
To analyze the best-case performance of an algorithm
To describe the order of growth of an algorithm's running time
To measure the physical size of an algorithm
#7
Which sorting algorithm has the best time complexity in the average case?
Bubble Sort
Insertion Sort
Quick Sort
Selection Sort
#8
What is the purpose of memoization in algorithm optimization?
To store and retrieve previously computed results to avoid redundant computations
To minimize the memory usage of an algorithm
To optimize algorithms for parallel processing
To measure the memory complexity of an algorithm
#9
In computer science, what does the term 'hashing' refer to?
The process of sorting elements in a data structure
The process of mapping data to a fixed-size array
The process of compressing data for efficient storage
The process of encrypting sensitive information
#10
Which algorithmic paradigm is commonly used for solving optimization problems by iteratively improving an initial solution?
Divide and Conquer
Greedy Algorithms
Dynamic Programming
Local Search
#11
What is dynamic programming used for in algorithm design?
To solve optimization problems by breaking them into subproblems
To design algorithms that adapt to changing input sizes
To create algorithms that utilize dynamic typing
To perform operations on dynamic data structures
#12
In graph theory, what is the minimum number of edges required to form a connected graph with N vertices?
#13
What is the primary purpose of the A* algorithm in pathfinding?
To find the longest path in a graph
To find the shortest path in a graph
To perform topological sorting of a graph
To identify strongly connected components in a graph
#14
What is the significance of the NP-complete class in computational complexity theory?
It includes problems that can be solved in polynomial time
It represents the class of problems that are neither polynomial nor exponential
It contains problems that are solvable in non-deterministic polynomial time
It includes some of the most challenging and widely studied computational problems
#15
What is the main purpose of the Floyd-Warshall algorithm?
Finding the shortest path in a weighted graph
Detecting negative cycles in a graph
Performing topological sorting
Solving linear programming problems