Backtracking, Branch and Bound, Greedy Method Quiz
Test your knowledge on backtracking, branch and bound algorithms, and greedy method. Questions cover differences between the algorithms, properties of greedy method, disjoint set, deterministic and nondeterministic methods, dynamic programming, and finding shortest paths in graphs.
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Backtracking, Branch and Bound, Greedy Method Quiz
Quiz • 15 Questions
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5 min • Summary
Backtracking, Branch and Bound, Greedy Method Quiz - Podcast
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List of Questions15 questions
- Question 1
- The TCP sliding window allows for efficient flow control by regulating the amount of data sent before receiving an acknowledgment.
- Question 2
- ALOHA is a random access protocol where each station can transmit data at any time. It is simple but inefficient due to collisions.
- Question 3
- The optimality principle aims to choose the best path for data transmission. In circuit switching, the path is fixed, while in packet switching, it can vary based on network conditions.
- Question 4
- Flooding is a technique where data is sent to all network nodes, while multicast is a method to send data to a specific group of nodes.
- Question 5
- Kruskal's algorithm is a greedy algorithm that finds a minimum spanning tree for a connected weighted graph by sorting the edges by weight and adding them one by one to the spanning tree, ensuring no cycles are formed.
- Question 6
- The algorithm for finding the length of LCS involves dynamic programming to build a table of lengths of common subsequences for the given sequences, and then tracing back to find the actual LCS.
- Question 7
- The Bellman-Ford algorithm is used to find the shortest path from a single source vertex to all other vertices in a weighted graph. It can handle negative edge weights but detects negative cycles if present.
- Question 8
- Backtracking explores all potential solutions, while Branch and Bound algorithm explores only the most promising solutions.
- Question 9
- 1. Greedy Choice Property. 2. Optimal Substructure. 3. Overlapping Subproblems.
- Question 10
- Disjoint Set is a data structure that keeps track of a set of elements partitioned into disjoint subsets. Supported operations: Union and Find.
- Question 11
- Deterministic algorithms have a single valid computation path, while Nondeterministic algorithms have multiple possible paths. Greedy methods make locally optimal choices at each step.
- Question 12
- Dynamic Programming breaks down problems into simpler subproblems and stores their solutions for future reference. The Shortest Path problem aims to find the shortest path between two vertices in a graph.
- Question 13
- The time complexity for finding 'n' edges is O(n), and for finding 'e' edges is O(e).
- Question 14
- An Algorithm is a step-by-step procedure to solve a problem. It must be correct, have defined inputs and outputs, be finite, and produce a solution for all valid inputs.
- Question 15
- By using the Ford-Fulkerson algorithm, a maximum flow in a network with 'm' edges can be computed in O(m) time complexity.