We present a numerical example to demonstrate applicability of the proposed model and exhibit the efficacy and effectiveness of the proposed algorithms and procedures.
At the end, we present a numerical example to illustrate the applications of the proposed methodology and identify the optimal value of the parameters of the genetic algorithm.
We also present a numerical example to show the feasibility of obtained results.
Finally, we present a numerical example for finite-time stabilization of large-scale impulsive dynamical systems.
In this section, we present a numerical example to validate the feasibility of the theoretical result obtained above.
Finally, we present a numerical example to demonstrate the function of the developed optimal double auction mechanism and its efficiency.
Next, we present a numerical example for comparing the rate of convergence between the Mann (1.1), Ishikawa (1.2), Noor (1.3) iterations and the iteration (1.4).
Finally, we present a numerical example to illustrate the findings of the models and provide suggestions for applying quantity discount contracts.
In this section, we present a numerical example to demonstrate the performance and convergence of our theoretical results.
Finally, we presented a numerical example of a portfolio selection problem to illustrate ways to address problems presented by a variety of investor risk attitudes.
