Exam 20: Minimal Spanning Tree
Exam 1: Introduction30 Questions
Exam 2: Introduction to Linear Programming28 Questions
Exam 3: LP Sensitivity Analysis and Interpretation of Solution31 Questions
Exam 4: Linear Programming Applications21 Questions
Exam 5: Advanced Linear Programming Applications24 Questions
Exam 6: Distribution and Network Problems31 Questions
Exam 7: Integer Linear Programming30 Questions
Exam 8: Nonlinear Optimization Models33 Questions
Exam 9: Project Scheduling: Pertcpm32 Questions
Exam 10: Inventory Models33 Questions
Exam 11: Waiting Line Models33 Questions
Exam 12: Simulation33 Questions
Exam 13: Decision Analysis24 Questions
Exam 14: Multicriteria Decisions30 Questions
Exam 15: Forecasting34 Questions
Exam 16: Markov Processes25 Questions
Exam 17: LP: Simplex Method29 Questions
Exam 18: Simplex-Based Sensitivity Analysis and Duality20 Questions
Exam 19: Solution Procedures for Transportation and Assignment Problems23 Questions
Exam 20: Minimal Spanning Tree12 Questions
Exam 21: Dynamic Programming19 Questions
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The minimal spanning tree algorithm has connected nodes 8 and 9.Node 8 could be connected to nodes 11 (distance 6) and 12 (distance 5) and node 9 could be connected to node 12 (distance 3) and node 13 (distance 2).Which will you do next?
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D
The minimal spanning tree algorithm is considered to be:
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A
Consider a minimal spanning tree problem in which pipe must be laid to connect sprinklers on a golf course.When represented with a network,
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A
It is possible for minimal spanning tree problems to have alternative optimal solutions.
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In the minimal spanning tree algorithm, you must consider the unconnected nodes that can be reached from any of the connected nodes, rather than arbitrarily considering only one of the connected nodes.
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For a network consisting of N nodes, a minimal spanning tree will consist of:
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The minimum spanning tree allows a person to visit every node without backtracking.
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The minimal spanning tree algorithm will lead to an optimal solution regardless of which node is chosen at the start of the algorithm.
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Cases in which a greedy algorithm provides the optimal solution are rare.
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The arcs in a minimal spanning tree problem can be measured in terms of criteria other than distance.
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