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Topic: Algorithm-conceptual-questions / Level: Intermediate
201. What is the difference between depth-first search (DFS) and breadth-first search (BFS)?
202. Explain the time complexity of quicksort and its worst-case scenario.
203. How does the merge sort algorithm achieve stability?
204. What are the advantages of using a hash table over a binary search tree?
205. Describe the concept of a topological sort and its applications.
206. How does the A* search algorithm work?
207. Explain the difference between dynamic programming and recursion.
208. What is a Fibonacci heap, and how does it improve the performance of priority queues?
209. Describe the concept of amortized analysis with an example.
210. What is the Bellman-Ford algorithm used for, and what are its limitations?
211. Explain the concept of a trie and its use in searching for strings.
212. How does the Knuth-Morris-Pratt (KMP) algorithm optimize string matching?
213. Describe how to implement a balanced binary search tree and its benefits.
214. What is the significance of the master theorem in analyzing divide-and-conquer algorithms?
215. Explain the concept of a red-black tree and its properties.
216. What are the differences between static and dynamic programming languages in the context of algorithms?
217. Describe the significance of the "greedy choice property" in greedy algorithms.
218. What is the traveling salesman problem, and how can it be approached using heuristics?
219. Explain how the Floyd-Warshall algorithm finds all pairs shortest paths.
220. What is the difference between strong and weak connectivity in directed graphs?
221. Describe how to implement a bloom filter and its applications.
222. What is the significance of the minimum spanning tree (MST) in network design?
223. Explain Prim’s algorithm for finding a minimum spanning tree.
224. How does Kruskal’s algorithm differ from Prim’s algorithm?
225. What are some applications of depth-first search beyond graph traversal?
226. Describe the concept of a segment tree and its use in range queries.
227. Explain the significance of hashing and how it can lead to collisions.
228. What are NP-hard and NP-complete problems?
229. How does memoization improve the performance of recursive algorithms?
230. Describe a simple algorithm for solving the subset-sum problem.
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What is an algorithm for converting between different numeral systems?
Explain the difference between greedy and dynamic programming approaches to optimization.
Define "input" and "output" in an algorithm.
What is a greedy algorithm, and under what conditions does it guarantee an optimal solution?
Describe how to analyze the space complexity of an algorithm.
What is a red-black tree?
What is a topological sort?
Explain how to find the longest common subsequence.
What is the significance of optimization in algorithms?
Explain the concept of a heap sort and its time complexity.
What is the role of a cache in algorithm performance optimization?
What is the significance of graph bipartiteness, and how can it be determined?
What is an algorithm?
What are NP-complete problems?
What is a B-tree?