Algorithm for Finding Optimal Hamiltonian Circuits
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In this text, the author describes a MATLAB-implemented program designed to find optimal Hamiltonian circuits. Deep analysis of the algorithm reveals several key advantages. As MATLAB is a high-level programming language, the program efficiently handles complex computational tasks within short timeframes—particularly valuable for researchers processing large datasets. The algorithm’s core strength lies in its ability to identify optimal Hamiltonian circuits using techniques such as graph traversal, dynamic programming, or heuristic search methods (e.g., genetic algorithms or simulated annealing), depending on the implementation. This capability makes the program highly applicable to route optimization scenarios, including logistics management and travel planning. Given its computational efficiency and practical utility, the program is poised for broad adoption and further development in optimization-focused domains.
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