This is mostly because it efficiently describes many phenomena arising in engineering, physics, economics and science.
This is mostly because impulsive differential equations efficiently describe many phenomena arising in engineering, physics, and science as well (see e.g. [1, 2]).
Differential equations have recently been proved to be a valuable tool in modeling many phenomena arising from various fields of science and engineering.
The fractional evolution equations have received increasing attention during recent years and have been studied extensively (see, e.g., [1 13] and references therein) since they can be used to describe many phenomena arising in engineering, physics, economy, and science.
The fractional differential equations can be used to describe many phenomena arising in engineering, physics, economy, and science, so they have been studied extensively (see, e.g., [1 8] and references therein).
The fractional differential equations have received increasing attention during recent years and have been studied extensively (see, e.g., [1 10] and references therein) since they can be used to describe many phenomena arising in viscoelasticity, electrochemistry, control, porous media, electromagnetic, etc.
Systems of nonlinear evolution equations are the mathematical models that are used to describe many complex phenomena arising in science and engineering.
Fractional differential equations describe many practical dynamical phenomena arising in engineering, physics, economy and science.
The fractional calculus has already become a powerful tool which describes many nonlinear complex phenomena arising in fluid mechanics, thermodynamics, plasma dynamics, continuum mechanics, quantum mechanics, electrodynamics and biological systems [1, 2].
Integro-differential equations can be used to describe a lot of natural phenomena arising in many fields such as electronics, fluid dynamics, biological models and chemical kinetics.
Fractional diffusion equations (FDEs) are a mathematical tool used for describing some special diffusion phenomena arising in many different applications like porous media and computational finance.
