Gradient Dynamic Approach to the Tensor Complementarity Problem
This work provides a new method for solving TCP, which is relevant for researchers in optimization and tensor computations, but the results are incremental as it applies existing dynamical system concepts to a specific problem.
The authors propose a nonlinear gradient dynamic approach for solving the tensor complementarity problem (TCP), demonstrating convergence through theoretical analysis and validating performance via computer simulations.
Nonlinear gradient dynamic approach for solving the tensor complementarity problem (TCP) is presented. Theoretical analysis shows that each of the defined dynamical system models ensures the convergence performance. The computer simulation results further substantiate that the considered dynamical system can solve the tensor complementarity problem (TCP).