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This paper introduces gradient, adjoint, and -Laplacian definitions for oriented hypergraphs as well as differential and averaging operators for unoriented hypergraphs. These definitions are used to define gradient flows in the form of diffusion equations with applications in modelling group dynamics and information flow in social networks as well as performing local and non-local image processing.

生成讲解博客的中文版本

生成AI智能校验的中文版本