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Recent Applications in Graph Theory

Recent Applications in Graph Theory

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Graph theory, being a rigorously investigated field of combinatorial mathematics, is adopted by a wide variety of disciplines addressing a plethora of real-world applications. Advances in graph algorithms and software implementations have made graph theory accessible to a larger community of interest. Ever-increasing interest in machine learning and model deployments for network data demands a coherent selection of topics rewarding a fresh, up-to-date summary of the theory and fruitful applications to probe further. This volume is a small yet unique contribution to graph theory applications and modeling with graphs. The subjects discussed include information hiding using graphs, dynamic graph-based systems to model and control cyber-physical systems, graph reconstruction, average distance neighborhood graphs, and pure and mixed-integer linear programming formulations to cluster networks.

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Keywords

  • Discrete Mathematics
  • thema EDItEUR::P Mathematics and Science::PB Mathematics::PBD Discrete mathematics

Links

DOI: 10.5772/intechopen.94641

Editions

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