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Genetic Theory for Cubic Graphs is an essential academic resource that provides insights into operations research and graph theory. Authored by Pouya Baniasadi and Vladimir Ejov, this book presents advanced theories and applications relevant to cubic graphs.
This book serves as a vital reference for researchers and students interested in graph theory and its applications in operations research. It combines theoretical insights with practical examples, making it suitable for both academic and professional use.
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