In this paper, the Cohen–Grossberg neural networks with time delays are considered without assuming any symmetry of connection matrix and differentiability of the activation functions. By constructing a novel Lyapunov functional, new sufficient criteria for the existence of a unique...

This paper is concerned with analysis problem for the global exponential stability of the Cohen–Grossberg neural networks with discrete delays and with distributed delays. We first prove the existence and uniqueness of the equilibrium point under mild conditions, assuming neither...

Land subsidence, a major geological hazard in Tianjin, has caused serious losses. In this research, we established a numerical model to predict potential land subsidence caused by groundwater overdraft in the next decades. The model set three groundwater extraction scenarios, corresponding to...

The extent to which prices of commodities such as oil and gold affect stock prices of firms engaged in their production, and in the stock market in general, has received attention in both the theoretical and empirical literature with mixed results. Instead of focusing on the direct relation...

Colluding firms often exchange private information and make transfers within the cartels based on the information. Estimating the impact of such collusive practices— known as the “lysine strategy profile (LSP)â€â€” on cartel duration is difficult because of endogeneity and...

Litigation seems to be a Pareto-ineffcient outcome of pretrial bargaining; however, this paper shows that litigation can be the outcome of rational behavior by a litigant and her attorney. If the attorney has more information than his client concerning the characteristics of the lawsuit, the...

We present new models for simulating the steady and unsteady transport of pollutant. Then the simple central-upwind schemes based on central weighted essentially non-oscillatory reconstructions are proposed in this paper for computing the one- and two-dimensional steady and unsteady models....