Algorithms Quizzes

Challenge your skills on advanced shortest path algorithms including Dijkstra, Bellman-Ford, and Floyd-Warshall. Assess your understanding of algorithm mechanics, use cases, and differences important for graph analysis and computational optimization.

Sharpen your algorithmic thinking with this targeted quiz designed for 2025 interviews, featuring conceptual and scenario-based questions on sorting, dynamic programming, complexity analysis, and common data structures. Ideal for candidates aiming to excel in algorithm interviews and assess their core understanding of essential techniques.

Test your understanding of fundamental array and string manipulation concepts using the two-pointer and sliding window methods. This quiz covers key ideas and simple scenarios to boost your skills.

Explore key concepts in algorithmic complexity with this quiz focused on Big-O, Big-Theta, and Big-Omega notations. Assess your understanding of growth rates, asymptotic bounds, and their practical applications in analyzing algorithm efficiency.

Assess your understanding of key computational geometry algorithms, concepts, and applications including convex hulls, intersection tests, Voronoi diagrams, and polygon operations. Gain insights into solving geometric problems critical for computer graphics, robotics, and spatial analysis.

Test your knowledge of bitwise operations and algorithms, including AND, OR, XOR, shifts, and set-bit tricks. This quiz is designed for learners preparing for coding interviews and exploring low-level problem-solving skills.

Test your knowledge of sorting algorithms, including quicksort, mergesort, heapsort, and counting-based methods, as well as core ideas like stability, in-place techniques, and time complexity tradeoffs. This quiz is designed for interview preparation and learners aiming to master efficient data organization strategies.

Challenge your understanding of divide and conquer algorithms with these key questions covering core ideas, example problems, and common misconceptions. This quiz is designed for learners aiming to strengthen their knowledge of efficient algorithmic strategies using divide and conquer principles.

Explore dynamic programming concepts often encountered in coding interviews, including optimal substructure, overlapping subproblems, and common application scenarios. This quiz is designed to help candidates identify key characteristics and pitfalls in dynamic programming problems.

Test your knowledge of hash maps and sets, including concepts like frequency counting, deduplication, and constant-time lookups. This quiz is designed for those new to these core data structures.

Challenge your understanding of key graph algorithms including Breadth-First Search (BFS), Depth-First Search (DFS), and common shortest path techniques. Assess your ability to select and apply the right traversal or path-finding strategy in typical graph problem scenarios.

Test your knowledge of graph algorithms, including breadth-first search, depth-first search, shortest paths, cycle detection, and spanning trees. This quiz is designed for interview preparation and learners aiming to strengthen their problem-solving with graph-based techniques.

Test your understanding of greedy algorithms, including interval scheduling, activity selection, Huffman coding, and optimal resource allocation. This quiz is designed for learners refining their problem-solving toolkit and candidates preparing for competitive coding interviews.

Challenge your knowledge of greedy algorithms with this quiz focused on interval scheduling, optimal selections, and core greedy principles. Explore scenarios to assess your understanding of selection strategies, interval overlaps, and practical algorithm applications in scheduling and optimization.

Sharpen your fundamental understanding of hash maps and sets through scenarios involving key operations, properties, and typical use cases. This quiz covers core concepts behind efficient data retrieval, managing duplicates, and recognizing differences between these essential data structures.

Assess your understanding of heap data structures and priority queue algorithms with this focused quiz. Enhance your knowledge on heap operations, performance characteristics, and practical applications relevant to computer science and programming.