The theory of retarded stochastic differential equations (SDEs) has received a great deal of attention since it is not only academically challenging but also of practical importance, and it has played an important role in many ways such as in life insurance, risk management, wireless communication, and optimal control of multiagent systems.
In recent years, Lyapunov's second method has been a very important method to study the stability of a stochastic differential equation, which has attracted much attention since it is not only academically challenging, but also of practical importance, and has played an important role in many fields such as insurance, finance, population dynamic, control (see, e.g., Øsendal [1]).
It is challenging to design reliable but practical artificial neuronal circuits to study the transition of electrical activities of neurons.
Stochastic differential equations [1 3] have attracted a lot of attention, because the problems are not only academically challenging, but also of a practical importance and have played an important role in many fields such as in option pricing, forecast of the growth of population, etc. (see, e.g., [1]).
Photocatalysts for pollutant degradation have been extensively investigated but extremely challenging for practical applications, because the radicals formed on the catalyst surface are pernicious to organisms in the nature.
Clearly, implementation will be challenging, but the NUHM represents a practical, political, and programming template for other countries.
It should be noticed that including implicit control variable in design is more challenging, but more generic in theory and practical in applications.
Wool, yes, but practical.
But practical difficulties endure.
