Tensors are effective representations for complex and time-varying networks. The factorization of a tensor provides a high-quality low-rank compact basis for each dimension of the tensor, which facilitates the interpretation of important structures of the represented data. Many existing tensor factorization (TF) methods assume there is one tensor that needs to be decomposed to low-rank factors....

This paper investigates the problem of regulating in real time a linear dynamical system to solution trajectory time-varying constrained convex optimization problem. The proposed feedback controller is based on an adaptation saddle-flow dynamics, modified take into account projections constraint sets and output-feedback from plant. We derive sufficient conditions tunable parameters (inherently ...

Given the time-efficient characteristics of urban cold chain transportation and time-varying road speed, customers encounter problem limited vehicle path optimization due to a fuzzy time window. An model with objective function as minimum total cost is constructed under premise service reliability, an artificial immune particle swarm algorithm designed solve model. For empirical analysis Xiamen...